D. Bassett

发表

Adaptive reconfiguration of fractal small-world human brain functional networks

E. Bullmore, D. Bassett, A. Meyer-Lindenberg, 2006, Proceedings of the National Academy of Sciences.

Behavioral / Systems / Cognitive Functional Connectivity and Brain Networks in Schizophrenia

E. Bullmore, D. Bassett, M. Lynall, 2010 .

Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia

E. Bullmore, D. Bassett, A. Meyer-Lindenberg, 2008, The Journal of Neuroscience.

Network neuroscience

O. Sporns, D. Bassett, 2017, Nature Neuroscience.

Dynamic reconfiguration of human brain networks during learning

Scott T. Grafton, P. Mucha, D. Bassett, 2010, Proceedings of the National Academy of Sciences.

Closures and Cavities in the Human Connectome

Ann E Sizemore, D. Bassett, R. Betzel, 2016 .

Classification of weighted networks through mesoscale homological features

Danielle S. Bassett, Chad Giusti, Ann Sizemore, 2015, J. Complex Networks.

Small-World Propensity in Weighted, Real-World Networks

Eric W. Bridgeford, D. Bassett, S. Muldoon, 2015, 1505.02194.

Structural foundations of resting-state and task-based functional connectivity in the human brain

Scott T. Grafton, Michael B. Miller, Kevin S. Brown, 2013, Proceedings of the National Academy of Sciences.

Dynamic reconfiguration of frontal brain networks during executive cognition in humans

D. Bassett, A. Meyer-Lindenberg, H. Walter, 2015, Proceedings of the National Academy of Sciences.

Human brain networks in health and disease

E. Bullmore, D. Bassett, 2009, Current opinion in neurology.

Two's company, three (or more) is a simplex - Algebraic-topological tools for understanding higher-order structure in neural data

Danielle S. Bassett, Chad Giusti, Robert Ghrist, 2016, J. Comput. Neurosci..

Emerging Evidence of Connectomic Abnormalities in Schizophrenia

D. Bassett, M. Rubinov, 2011, The Journal of Neuroscience.

Intrinsic and Task-Evoked Network Architectures of the Human Brain

Jonathan D. Power, Michael W. Cole, S. Petersen, 2014, Neuron.

Brain graphs: graphical models of the human brain connectome.

Danielle S Bassett, Edward T Bullmore, E. Bullmore, 2011, Annual review of clinical psychology.

Fractal connectivity of long-memory networks.

E. Bullmore, D. Bassett, A. Meyer-Lindenberg, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Activity flow over resting-state networks shapes cognitive task activations

Michael W. Cole, Douglas H. Schultz, D. Bassett, 2016, Nature Neuroscience.

A Network Neuroscience of Neurofeedback for Clinical Translation.

Andrew C. Murphy, D. Bassett, A. Murphy, 2017, Current opinion in biomedical engineering.

A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior

D. Bassett, M. Mattar, 2017, Trends in Cognitive Sciences.

Linked dimensions of psychopathology and connectivity in functional brain networks

Richard F. Betzel, D. Bassett, Zongming Ma, 2017, bioRxiv.

Differential Recruitment of the Sensorimotor Putamen and Frontoparietal Cortex during Motor Chunking in Humans

Scott T. Grafton, P. Mucha, D. Bassett, 2012, Neuron.

Understanding complexity in the human brain

M. Gazzaniga, D. Bassett, 2011, Trends in Cognitive Sciences.

Network topology of neural systems supporting avalanche dynamics predicts stimulus propagation and recovery

Danielle S Bassett, John M Beggs, Jason Z Kim, 2018 .

Role of graph architecture in controlling dynamical networks with applications to neural systems

Ari E. Kahn, Jason Z. Kim, D. Bassett, 2017, Nature Physics.

Control of Dynamics in Brain Networks

D. Bassett, Evelyn Tang, 2017, 1701.01531.

Fronto-limbic dysconnectivity leads to impaired brain network controllability in young people with bipolar disorder and those at high genetic risk

D. Bassett, M. Breakspear, P. Mitchell, 2018, NeuroImage: Clinical.

Autaptic Connections Shift Network Excitability and Bursting

D. Bassett, F. Pasqualetti, Shi Gu, 2016, Scientific Reports.

Optimally controlling the human connectome: the role of network topology

Fabio Pasqualetti, Danielle S. Bassett, Shi Gu, 2016, Scientific Reports.

The physics of brain network structure, function and control

Christopher W. Lynn, D. Bassett, 2018, Nature Reviews Physics.

Brain and cognitive reserve: Translation via network control theory

Sharon L. Thompson-Schill, Fabio Pasqualetti, Danielle S. Bassett, 2016, Neuroscience & Biobehavioral Reviews.

Functionalization of a protosynaptic gene expression network

D. Bassett, B. Degnan, K. Kosik, 2012, Proceedings of the National Academy of Sciences.

Brain connectivity dynamics during social interaction reflect social network structure

Jean M. Vettel, Danielle S. Bassett, Matthew Brook O’Donnell, 2017, Proceedings of the National Academy of Sciences.

Brain connectivity dynamics during social interaction reflect social network structure

Jean M. Vettel, Danielle S. Bassett, Emily B. Falk, 2017 .

On Curiosity: A Fundamental Aspect of Personality, a Practice of Network Growth

Danielle S. Bassett, Perry Zurn, D. Bassett, 2018, Personality Neuroscience.

Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function

Danielle S Bassett, Danilo Bzdok, Gaël Varoquaux, 2018, Human brain mapping.

The Network Structure of Tobacco Withdrawal in a Community Sample of Smokers Treated With Nicotine Patch and Behavioral Counseling

D. Bassett, B. Hitsman, R. Schnoll, 2018, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

A network engineering perspective on probing and perturbing cognition with neurofeedback

D. Bassett, A. Khambhati, 2017, Annals of the New York Academy of Sciences.

Non-assortative community structure in resting and task-evoked functional brain networks

Richard F. Betzel, Maxwell A. Bertolero, D. Bassett, 2018, bioRxiv.

Know Your Place: Neural Processing of Social Hierarchy in Humans

C. Zink, D. Bassett, A. Meyer-Lindenberg, 2008, Neuron.

DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries

Jordan K. Matelsky, Erik C. Johnson, D. Bassett, 2020, Scientific Reports.

The architecture of co-morbidity networks of physical and mental health conditions in military veterans

D. Bassett, D. Glahn, A. Alexander-Bloch, 2020, Proceedings of the Royal Society A.

The architecture of co-morbidity networks of physical and mental health conditions in military veterans

D. Bassett, D. Glahn, A. Alexander-Bloch, 2020, Proceedings of the Royal Society A.

Staged miRNA re-regulation patterns during reprogramming

D. Bassett, K. Kosik, Zhonghan Li, 2013, Genome Biology.

Brain‐based ranking of cognitive domains to predict schizophrenia

G. Varoquaux, B. Thirion, O. Grisel, 2019, Human brain mapping.

Brain-based ranking of cognitive domains to predict schizophrenia

G. Varoquaux, B. Thirion, O. Grisel, 2019 .

Spatial Embedding Imposes Constraints on Neuronal Network Architectures

D. Bassett, J. Stiso, 2018, Trends in Cognitive Sciences.

Why network neuroscience? Compelling evidence and current frontiers. Comment on "Understanding brain networks and brain organization" by Luiz Pessoa.

D. Bassett, S. Muldoon, 2014, Physics of life reviews.

Dynamic brain network reconfiguration as a potential schizophrenia genetic risk mechanism modulated by NMDA receptor function

Lena S. Geiger, D. Bassett, A. Meyer-Lindenberg, 2016, Proceedings of the National Academy of Sciences.

Functional Brain Network Characterization and Adaptivity during Task Practice in Healthy Volunteers and People with Schizophrenia

T. Holroyd, R. Coppola, D. Bassett, 2011, Front. Hum. Neurosci..

Emergence of system roles in normative neurodevelopment

D. Bassett, R. Gur, R. Gur, 2015, Proceedings of the National Academy of Sciences.

Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth

Graham L. Baum, Ari E. Kahn, Richard F. Betzel, 2016, Current Biology.

The modular organization of human anatomical brain networks: Accounting for the cost of wiring

Graham L. Baum, Richard F. Betzel, D. Bassett, 2016, Network Neuroscience.

The physics of brain network architecture, function, and control

D. Bassett, 2018 .

Brain network efficiency is influenced by pathological source of corticobasal syndrome

D. Bassett, J. Gee, Santiago Segarra, 2016, 1601.07867.

On the nature and use of models in network neuroscience

J. Gold, D. Bassett, P. Zurn, 2018, Nature Reviews Neuroscience.

The flexible brain This scientific commentary refers to ‘ Neural , electrophysiological and ana-5 tomical basis of brain-network variability and its characteristic changes in mental disorders

D. Bassett, R. Betzel, M. Mattar, 2022 .

Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression

E. Leibenluft, J. Kable, D. Bassett, 2015, Neuropsychopharmacology.

Common Dimensional Reward Deficits Across Mood and Psychotic Disorders: A Connectome-Wide Association Study.

J. Kable, D. Bassett, C. Davatzikos, 2017, The American journal of psychiatry.

Topology in Biology

D. Bassett, A. S. Blevins, 2020, Handbook of the Mathematics of the Arts and Sciences.

Drug-resistant focal epilepsy in children is associated with increased modal controllability of the whole brain and epileptogenic regions

D. Bassett, R. Rosch, C. Clark, 2021, Communications Biology.

Dopamine modulates learning-related changes in dynamic striatal-cortical connectivity in Parkinson’s disease

Raphael T. Gerraty, D. Bassett, D. Shohamy, 2019, bioRxiv.

Repetitive negative thinking in daily life and functional connectivity among default mode, fronto-parietal, and salience networks

D. Bassett, P. Kirsch, D. Lydon-Staley, 2019, Translational Psychiatry.

Development of structure–function coupling in human brain networks during youth

Graham L. Baum, Richard F. Betzel, D. Bassett, 2019, Proceedings of the National Academy of Sciences.

Temporal lobe epilepsy

D. Bassett, J. Smallwood, Shi Gu, 2019, Neurology.

Development of structure–function coupling in human brain networks during youth

Graham L. Baum, D. Bassett, R. Betzel, 2019, Proceedings of the National Academy of Sciences.

Globally weaker and topologically different: resting-state connectivity in youth with autism

Robert T. Schultz, Danielle S. Bassett, Theodore D. Satterthwaite, 2017, Molecular Autism.

Evolution of brain network dynamics in neurodevelopment

Danielle S. Bassett, Tyler M. Moore, Ruben C. Gur, 2017, Network Neuroscience.

Erratum to: Associations between Neighborhood SES and Functional Brain Network Development.

Ursula A. Tooley, D. Bassett, R. Gur, 2019, Cerebral cortex.

Associations between Neighborhood SES and Functional Brain Network Development

Ursula A. Tooley, D. Bassett, R. Gur, 2018, Cerebral cortex.

A developmental arc of white matter supporting a growing diversity of brain dynamics

Danielle S. Bassett, Chad Giusti, Graham L. Baum, 2016 .

Intra- and Inter-Frequency Brain Network Structure in Health and Schizophrenia

Richard Coppola, Danielle S. Bassett, Felix Siebenhühner, 2012, PloS one.

Network Methods to Characterize Brain Structure and Function

Danielle S. Bassett, Mary-Ellen Lynall, D. Bassett, 2013 .

Genetic Influences on Cost-Efficient Organization of Human Cortical Functional Networks

Danielle S Bassett, Andrew Zalesky, Alex Fornito, 2011, The Journal of Neuroscience.

Using Neuroimaging to Predict Behavior: An Overview with a Focus on the Moderating Role of Sociocultural Context

D. Bassett, J. Vettel, E. Falk, 2019, Social-Behavioral Modeling for Complex Systems.

Coherent activity between brain regions that code for value is linked to the malleability of human behavior

Danielle S. Bassett, Emily B. Falk, Nicole Cooper, 2017, Scientific Reports.

Associations Between Coherent Neural Activity in the Brain’s Value System During Antismoking Messages and Reductions in Smoking

D. Bassett, J. Vettel, E. Falk, 2018, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

Network Approaches to Understand Individual Differences in Brain Connectivity: Opportunities for Personality Neuroscience

Jean M. Vettel, Danielle S. Bassett, Emily B. Falk, 2018, Personality Neuroscience.

Brain and Social Networks: Fundamental Building Blocks of Human Experience

Danielle S. Bassett, Emily B. Falk, D. Bassett, 2017, Trends in Cognitive Sciences.

Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD

Danielle S Bassett, Christos Davatzikos, Shi Gu, 2018, Molecular Psychiatry.

Positive affect, surprise, and fatigue are correlates of network flexibility

Danielle S. Bassett, Theodore D. Satterthwaite, Richard F. Betzel, 2017, Scientific Reports.

Physics-based Models of Brain Structure Connectivity Informed by Diffusion-weighted Imaging

Jean M. Vettel, Danielle S. Bassett, Scott T. Grafton, 2012 .

Defining and predicting transdiagnostic categories of neurodegenerative disease

Eli J. Cornblath, John L. Robinson, D. Bassett, 2020, Nature Biomedical Engineering.

Human brain function during pattern separation follows hippocampal and neocortical connectivity gradients

Reinder Vos de Wael, D. Bassett, J. Smallwood, 2020, bioRxiv.

Human brain function during pattern separation follows hippocampal and neocortical connectivity gradients

Reinder Vos de Wael, D. Bassett, J. Smallwood, 2020, bioRxiv.

Leveraging multi-shell diffusion for studies of brain development in youth and young adulthood

Russell T. Shinohara, Mark A. Elliott, Bart Larsen, 2020, Developmental Cognitive Neuroscience.

Advantages of Multi-shell Diffusion for Studies of Brain Development in Youth

Graham L. Baum, Adon F. G. Rosen, Adam R. Pines, 2019, bioRxiv.

Influence of network topology on sound propagation in granular materials.

Danielle S Bassett, Mason A Porter, Eli T Owens, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

The Promise and Challenges of Intensive Longitudinal Designs for Imbalance Models of Adolescent Substance Use

D. Bassett, D. Lydon-Staley, D. Lydon‐Staley, 2018, Front. Psychol..

Genetic and neuroanatomical support for functional brain network dynamics in epilepsy

Brian Litt, Danielle S. Bassett, Richard F. Betzel, 2018, bioRxiv.

Mediated Remote Synchronization: the Number of Mediators Matters

B. Anderson, D. Bassett, F. Pasqualetti, 2020, 2003.07405.

UNIVERSITY OF CALIFORNIA Santa Barbara Graph Theoretical Analysis of Dynamic Brain Functional Networks A dissertation submitted in partial satisfaction of the requirements for Honors in the degree Bachelor of Science in Physics by

Scott T. Grafton, Elizabeth N. Davison, D. Bassett, 2014 .

Unifying Modular and Core-Periphery Structure in Functional Brain Networks over Development.

D. Bassett, R. Gur, R. Gur, 2019, 1904.00232.

Multiscale Network Organization in the Human Brain

D. Bassett, F. Siebenhühner, 2013 .

Within-person variability in sensation-seeking during daily life: Positive associations with alcohol use and self-defined risky behaviors.

D. Bassett, E. Falk, D. Lydon-Staley, 2019, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.

Predicting future learning from baseline network architecture

Andrew S. Bock, Danielle S. Bassett, Marcelo G. Mattar, 2016 .

White Matter Signals Reflect Information Transmission Between Brain Regions During Seizures

D. Bassett, B. Litt, Sandhitsu R. Das, 2021, bioRxiv.

Synchronizability predicts effective responsive neurostimulation for epilepsy prior to treatment

E. Chang, D. Bassett, B. Litt, 2021, medRxiv.

High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients

Brian Litt, Danielle S. Bassett, Kathryn A. Davis, 2019, NeuroImage: Clinical.

Virtual resection predicts surgical outcome for drug-resistant epilepsy.

Ankit N Khambhati, Danielle S Bassett, Timothy H Lucas, 2019, Brain : a journal of neurology.

High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients

Brian Litt, Danielle S. Bassett, Kathryn A. Davis, 2018, NeuroImage: Clinical.

Shared endo-phenotypes of default mode dysfunction in attention deficit/hyperactivity disorder and autism spectrum disorder

Danilo Bzdok, Gaël Varoquaux, Bertrand Thirion, 2018, Translational Psychiatry.

Structural control energy of resting-state functional brain states reveals inefficient brain dynamics in psychosis vulnerability

Dimitri Van De Ville, Stephan Eliez, Danielle S. Bassett, 2019, bioRxiv.

Neurocognitive and Functional Heterogeneity in Depressed Youth

D. Bassett, R. Gur, R. Gur, 2019, bioRxiv.

Linked dimensions of psychopathology and connectivity in functional brain networks

Christos Davatzikos, Russell T. Shinohara, Philip A. Cook, 2017 .

Local Patterns to Global Architectures: Influences of Network Topology on Human Learning Relating Two Approaches Complex Networks Are Pervasive Network Topology Influences Learning and Memory Local Statistics Underpin Network Architecture

Sharon L. Thompson-Schill, Danielle S. Bassett, Elisabeth A. Karuza, 2022 .

The landscape of NeuroImage-ing research

Russell T. Shinohara, Danielle S. Bassett, Jordan D. Dworkin, 2018, NeuroImage.

Identification of networks of Wilson-Cowan neuronal oscillators by inverse sigmoidal transformation

Cassiano O. Becker, D. Bassett, V. Preciado, 2016, 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Mind Control: Frontiers in Guiding the Mind

D. Bassett, J. Medaglia, P. Zurn, 2016 .

Flexible Traversal Through Diverse Brain States Underlies Executive Function in Normative Neurodevelopment

Danielle S. Bassett, Tyler M. Moore, Kosha Ruparel, 2015, 1510.08780.

Response Inhibition in Adolescents is Moderated by Brain Connectivity and Social Network Structure

Joseph B. Bayer, Christopher N. Cascio, D. Bassett, 2018, bioRxiv.

Disrupted basal ganglia-thalamocortical loops in focal to bilateral tonic-clonic seizures.

D. Bassett, M. Sperling, J. Tracy, 2019, Brain : a journal of neurology.

Disrupted basal ganglia—thalamocortical loops in focal to bilateral tonic-clonic seizures

D. Bassett, M. Sperling, J. Tracy, 2019, bioRxiv.

Disconnectome Associated with Progressive Ischemic Periventricular White Matter Lesions

D. Bassett, J. Detre, M. Habes, 2019, bioRxiv.

Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state

Christopher W. Lynn, D. Bassett, Demian Battaglia, 2020, PLoS Comput. Biol..

Locally stable brain states predict suppression of epileptic activity by enhanced cognitive effort

Danielle S. Bassett, Sarah F. Muldoon, Julia Costantini, 2018, NeuroImage: Clinical.

Racial and ethnic imbalance in neuroscience reference lists and intersections with gender

Maxwell A. Bertolero, Jordan D Dworkin, D. Bassett, 2020, bioRxiv.

Gene coexpression patterns predict opiate-induced brain-state transitions

Eli J. Cornblath, D. Bassett, F. Pasqualetti, 2020, Proceedings of the National Academy of Sciences.

Defining and predicting transdiagnostic categories of neurodegenerative disease

Eli J. Cornblath, John L. Robinson, D. Bassett, 2019, Nature Biomedical Engineering.

Generative network models identify biological mechanisms of altered structural brain connectivity in schizophrenia

Lena S. Geiger, M. Rietschel, M. Nöthen, 2019, bioRxiv.

A subset of topologically associating domains fold into mesoscale core-periphery networks

Jennifer E. Phillips-Cremins, D. Bassett, Katelyn R. Titus, 2019, Scientific Reports.

Stability of spontaneous, correlated activity in mouse auditory cortex

Danielle S. Bassett, Richard F. Betzel, Katherine C. Wood, 2018, bioRxiv.

Novel Primate miRNAs Coevolved with Ancient Target Genes in Germinal Zone-Specific Expression Patterns

Danielle S. Bassett, Bian Wu, Kenneth S. Kosik, 2014, Neuron.

Efficient Coding in the Economics of Human Brain Connectomics

John A. Detre, Danielle S. Bassett, Graham L. Baum, 2020, bioRxiv.

The brain produces mind by modeling

J. Tenenbaum, R. Shiffrin, D. Bassett, 2020, Proceedings of the National Academy of Sciences.

Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale

Brian Litt, Danielle S. Bassett, Richard Rosch, 2020, bioRxiv.

Learning about Learning: Human Brain Sub-Network Biomarkers in fMRI Data

Ambuj K. Singh, Danielle S. Bassett, Petko Bogdanov, 2014, 1407.5590.

The network structure of scientific revolutions pdf

Danielle S. Bassett, David M. Lydon-Staley, Harang Ju, 2020, ArXiv.

The extent and drivers of gender imbalance in neuroscience reference lists

Kristin A. Linn, Danielle S. Bassett, Jordan D. Dworkin, 2020, Nature Neuroscience.

The Citation Diversity Statement: A Practice of Transparency, A Way of Life

Nicole C. Rust, N. Rust, D. Bassett, 2020, Trends in Cognitive Sciences.

Network Controllability in Transmodal Cortex Predicts Psychosis Spectrum Symptoms

D. Bassett, R. Gur, R. Gur, 2020, Biological Psychiatry.

(In)citing Action to Realize an Equitable Future

Jordan D Dworkin, D. Bassett, P. Zurn, 2020, Neuron.

Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure

D. Bassett, R. Gur, R. Gur, 2020, bioRxiv.

BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Danielle S. Bassett, Denis Schwartz, Laurent Hugueville, 2020, Journal of neural engineering.

Person-Based Brain Morphometric Similarity is Heritable and Correlates With Biological Features

D. Bassett, D. Glahn, S. Frangou, 2018, Cerebral cortex.

How Dynamic Brain Networks Tune Social Behavior in Real Time

D. Bassett, D. Mobbs, B. Silston, 2018, Current directions in psychological science.

Data-Driven Approaches to Neuroimaging Analysis to Enhance Psychiatric Diagnosis and Therapy.

D. Bassett, U. Braun, H. Tost, 2020, Biological psychiatry. Cognitive neuroscience and neuroimaging.

Asymmetric signaling across the hierarchy of cytoarchitecture within the human connectome

Jason Z. Kim, D. Bassett, R. Gur, 2022, bioRxiv.

S139. Accelerated Cortical Thinning Within Structural Brain Networks is Associated With Irritability in Youth

Adon F. G. Rosen, E. Leibenluft, D. Bassett, 2018, Biological Psychiatry.

Accelerated Cortical Thinning within Structural Brain Networks is Associated with Irritability in Youth

Adon F. G. Rosen, E. Leibenluft, D. Bassett, 2019, bioRxiv.

Functional Architecture of the Cerebral Cortex

K. Harris, R. Bruno, M. Raichle, 2019, The Neocortex.

Altered functional brain dynamics in chromosome 22q11.2 deletion syndrome during facial affect processing

Eli J. Cornblath, E. Zackai, D. Bassett, 2020, Biological Psychiatry.

Broken detailed balance and entropy production in the human brain

Eli J. Cornblath, Maxwell A. Bertolero, Christopher W. Lynn, 2020, Proceedings of the National Academy of Sciences.

Reconfigurations within resonating communities of brain regions following TMS reveal different scales of processing

Steven M. Thurman, D. Bassett, R. Srinivasan, 2020, Network Neuroscience.

Controllability of Brain Networks pdf

Alfred B. Yu, Fabio Pasqualetti, Danielle S. Bassett, 2014, ArXiv.

Brain network analysis: a practical tutorial.

D. Bassett, 2016, Brain : a journal of neurology.

Dynamic network structure of interhemispheric coordination

Danielle S Bassett, Karl W Doron, Michael S Gazzaniga, 2012, Proceedings of the National Academy of Sciences.

Network Controllability in the IFG Relates to Controlled Language Variability and Susceptibility to TMS

Denise Y. Harvey, D. Bassett, J. Medaglia, 2017 .

Network architectures supporting learnability

Danielle S. Bassett, Perry Zurn, D. Bassett, 2020, Philosophical Transactions of the Royal Society B.

Author Correction: Human information processing in complex networks

Christopher W. Lynn, D. Bassett, A. Kahn, 2020 .

Thalamus and focal to bilateral seizures

Luke A Allen, D. Bassett, M. Sperling, 2020, Neurology.

Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity

Tinashe M. Tapera, Adam R. Pines, E. Leibenluft, 2022, Neuropsychopharmacology.

The expanding horizons of network neuroscience: From description to prediction and control

D. Bassett, P. Fotiadis, L. Parkes, 2022, NeuroImage.

Phase-amplitude coupling in neuronal oscillator networks

D. Bassett, F. Pasqualetti, Yuzhen Qin, 2020, 2012.04217.

Data-driven brain network models predict individual variability in behavior

D. Bassett, S. Muldoon, J. Vettel, 2018, 1802.08747.

Imaging local genetic influences on cortical folding

G. Pearlson, D. Bassett, P. Fox, 2020, Proceedings of the National Academy of Sciences.

Dissociable multi-scale patterns of development in personalized brain networks

Maxwell A. Bertolero, Valerie J. Sydnor, Adam R. Pines, 2021, Nature Communications.

Intersubject Synchronization of Late Adolescent Brain Responses to Violent Movies: A Virtue-Ethics Approach

D. Bassett, D. Romer, A. Adebimpe, 2019, Front. Behav. Neurosci..

Harnessing networks and machine learning in neuropsychiatric care

Eli J. Cornblath, D. Bassett, D. Lydon-Staley, 2019, Current Opinion in Neurobiology.

Towards precise resting-state fMRI biomarkers in psychiatry: synthesizing developments in transdiagnostic research, dimensional models of psychopathology, and normative neurodevelopment

D. Bassett, T. Satterthwaite, L. Parkes, 2020, Current Opinion in Neurobiology.

The expanding horizons of network neuroscience: From description to prediction and control

D. Bassett, P. Fotiadis, L. Parkes, 2022, NeuroImage.

Response inhibition in adolescents is moderated by brain connectivity and social network structure

Joseph B. Bayer, Christopher N. Cascio, D. Bassett, 2018, bioRxiv.

Development of Top-Down Cortical Propagations in Youth

Tinashe M. Tapera, Adam R. Pines, Arielle S. Keller, 2022, bioRxiv.

Sex Differences in Functional Topography of Association Networks

Maxwell A. Bertolero, Adam R. Pines, D. Bassett, 2021, Biological Psychiatry.

The Age of Reason: Functional Brain Network Development during Childhood

Ursula A. Tooley, Cassidy L. McDermott, D. Bassett, 2022, The Journal of Neuroscience.

White Matter Signals Reflect Information Transmission Between Brain Regions During Seizures

D. Bassett, B. Litt, Sandhitsu R. Das, 2021, bioRxiv.

The Network Structure of Tobacco Withdrawal in a Community Sample of Smokers Treated With Nicotine Patch and Behavioral Counseling

D. Bassett, B. Hitsman, R. Schnoll, 2018, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

Measuring brain critical dynamics to inform Brain-Computer Interfaces

D. Bassett, D. Schwartz, F. De Vico Fallani, 2022, bioRxiv.

Model-based stationarity filtering of long-term memory data applied to resting-state blood-oxygen-level-dependent signal

Maxwell A. Bertolero, D. Bassett, S. Pequito, 2022, PLoS ONE.

A structurally informed model for modulating functional connectivity

Andrew C. Murphy, D. Bassett, T. Satterthwaite, 2022, 2208.11631.

Intrinsic Activity Develops Along a Sensorimotor-Association Cortical Axis in Youth

Valerie J. Sydnor, D. Bassett, R. Gur, 2022, bioRxiv.

Sex differences in the functional topography of association networks in youth

Maxwell A. Bertolero, Adam R. Pines, D. Bassett, 2022, Proceedings of the National Academy of Sciences of the United States of America.

Controlling collective dynamical states of mesoscale brain networks with local perturbations

D. Bassett, Demian Battaglia, Lia Papadopoulos, 2022, 2208.12231.

Invertible generalized synchronization: A putative mechanism for implicit learning in biological and artificial neural systems

D. Bassett, Zhixin Lu, 2018, 1807.05214.

Optimization of energy state transition trajectory supports the development of executive function during youth

Christos Davatzikos, Jason Z. Kim, Danielle S. Bassett, 2018, bioRxiv.

Atypical neural topographies underpin dysfunctional pattern separation in temporal lobe epilepsy.

Reinder Vos de Wael, D. Bassett, J. Smallwood, 2021, Brain : a journal of neurology.

Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility

Alejandro Ribeiro, Danielle S. Bassett, John D. Medaglia, 2016, Nature Human Behaviour.

Structurally-constrained between cognitive in the human brain.

Scott T. Grafton, Michael B. Miller, Kevin S. Brown, 2014 .

“Primed to Perform:” Dynamic white matter graph communicability may drive metastable network representations of enhanced preparatory cognitive control

Vivek P. Buch, D. Bassett, T. Lucas, 2022, bioRxiv.

Accelerated Cortical Thinning within Structural Brain Networks is Associated with Irritability in Youth

Adon F. G. Rosen, E. Leibenluft, D. Bassett, 2019, bioRxiv.

Language Recovery after Brain Injury: A Structural Network Control Theory Study

D. Bassett, C. Rorden, J. Jensen, 2021, The Journal of Neuroscience.

Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex

D. Bassett, M. Cieslak, T. Satterthwaite, 2022, bioRxiv.

Optimizing the human learnability of abstract network representations

Christopher W. Lynn, Nicolas H. Christianson, D. Bassett, 2021, Proceedings of the National Academy of Sciences of the United States of America.

Benchmarking Measures of Network Controllability on Canonical Graph Models

D. Bassett, R. Betzel, F. Pasqualetti, 2018, Journal of Nonlinear Science.

Compression supports low-dimensional representations of behavior across neural circuits

Valerie J. Sydnor, Adam R. Pines, Jason Z. Kim, 2022, bioRxiv.

Measuring brain critical dynamics to inform Brain-Computer Interfaces

D. Bassett, D. Schwartz, F. De Vico Fallani, 2022, bioRxiv.

Effective learning is accompanied by high-dimensional and efficient representations of neural activity

Danielle S Bassett, Evelyn Tang, Chad Giusti, 2017, Nature Neuroscience.

Effective learning is accompanied by increasingly efficient dimensionality of whole-brain responses

Sharon L. Thompson-Schill, Danielle S. Bassett, Evelyn Tang, 2017, 1709.10045.

Reconfigurations within resonating communities of brain regions following TMS reveal different scales of processing

Steven M. Thurman, Jean M. Vettel, Danielle S. Bassett, 2018, bioRxiv.

Within‐person variability in curiosity during daily life and associations with well‐being

Danielle S. Bassett, Perry Zurn, D. Bassett, 2019, Journal of personality.

Modeling brain, symptom, and behavior in the winds of change

Danielle S. Bassett, David M. Lydon-Staley, Eli J. Cornblath, 2020, Neuropsychopharmacology.

Multimodal network dynamics underpinning working memory

Danielle S. Bassett, David M. Lydon-Staley, Maxwell A. Bertolero, 2020, Nature Communications.

Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands

Jason Z. Kim, Danielle S. Bassett, Graham L. Baum, 2018, Communications Biology.

Multiscale and multimodal network dynamics underpinning working memory

Danielle S. Bassett, David M. Lydon-Staley, Maxwell A. Bertolero, 2019, 1901.06552.

Context-dependent architecture of brain state dynamics is explained by white matter connectivity and theories of network control

Russell T. Shinohara, Jason Z. Kim, Danielle S. Bassett, 2018, bioRxiv.

Efficient coding in the economics of human brain connectomics

Graham L. Baum, Christopher W. Lynn, D. Bassett, 2020, bioRxiv.

A practical guide to methodological considerations in the controllability of structural brain networks

Jason Z. Kim, Danielle S. Bassett, Ari E. Kahn, 2019, Journal of neural engineering.

Structural and functional asymmetry of medial temporal subregions in unilateral temporal lobe epilepsy: A 7T MRI study

Danielle S Bassett, Kathryn A Davis, Preya Shah, 2019, Human brain mapping.

The impact of in-scanner head motion on structural connectivity derived from diffusion MRI

Ragini Verma, Mark A. Elliott, Philip A. Cook, 2018, NeuroImage.

Learning about learning: Mining human brain sub-network biomarkers from fMRI data

Danielle S Bassett, Scott T Grafton, Petko Bogdanov, 2017, PloS one.

Brain Network Adaptability across Task States

Danielle S. Bassett, Scott T. Grafton, Kimberly J. Schlesinger, 2014, PLoS Comput. Biol..

Learning-induced autonomy of sensorimotor systems

Danielle S Bassett, Scott T Grafton, Scott T. Grafton, 2014, Nature Neuroscience.

Task-Based Core-Periphery Organization of Human Brain Dynamics

Mason A. Porter, Danielle S. Bassett, Peter J. Mucha, 2012, PLoS Comput. Biol..

Small-World Brain Networks

Danielle Smith Bassett, Ed Bullmore, E. Bullmore, 2006, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

A validated network of effective amygdala connectivity

Danielle S. Bassett, Caroline F. Zink, Daniel R. Weinberger, 2007, NeuroImage.

Cognitive fitness of cost-efficient brain functional networks

Danielle S Bassett, Richard Coppola, Edward T Bullmore, 2009, Proceedings of the National Academy of Sciences.

Functional brain network community structure in childhood: Unfinished territories and fuzzy boundaries

Ursula A. Tooley, D. Bassett, A. Mackey, 2021, NeuroImage.

Pathological and metabolic underpinnings of energetic inefficiency in temporal lobe epilepsy

Jason Z. Kim, D. Bassett, F. Pasqualetti, 2021, bioRxiv.

Structural control energy of resting‐state functional brain states reveals less cost‐effective brain dynamics in psychosis vulnerability

D. Bassett, D. Van de Ville, S. Eliez, 2021, Human brain mapping.

Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration

Danielle S. Bassett, Scott T. Grafton, Marcelo Gomes Mattar, 2017, NeuroImage.

Functional disconnection of associative cortical areas predicts performance during BCI training

Danielle S. Bassett, Denis Schwartz, Ari E. Kahn, 2020, NeuroImage.

Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface

Danielle S. Bassett, Denis Schwartz, Fabrizio de Vico Fallani, 2017, Int. J. Neural Syst..

Network Brain-Computer Interface (nBCI): An Alternative Approach for Cognitive Prosthetics

Danielle S. Bassett, Timothy H. Lucas, Jennifer Stiso, 2018, Front. Neurosci..

The modulation of brain network integration and arousal during exploration

Sharon L. Thompson-Schill, Danielle S. Bassett, John D. Medaglia, 2021, NeuroImage.

Dynamic Flexibility in Striatal-Cortical Circuits Supports Reinforcement Learning

Danielle S Bassett, Daphna Shohamy, Raphael T. Gerraty, 2017, The Journal of Neuroscience.

Learning, Memory, and the Role of Neural Network Architecture

Danielle S. Bassett, Jean M. Carlson, Ann M. Hermundstad, 2011, PLoS Comput. Biol..

Structural drivers of function in information processing networks

Danielle S. Bassett, Jean M. Carlson, Ann M. Hermundstad, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

The network structure of scientific revolutions

Julio R. Tuma, D. Bassett, Harang Ju, 2020, ArXiv.

Dynamic representations in networked neural systems

Danielle S. Bassett, Harang Ju, D. Bassett, 2020, Nature Neuroscience.

Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state

Christopher W. Lynn, D. Bassett, Demian Battaglia, 2020, PLoS Comput. Biol..

Models of communication and control for brain networks: distinctions, convergence, and future outlook

George J. Pappas, Fabio Pasqualetti, Cassiano O. Becker, 2020, Network Neuroscience.

Questions and controversies in the study of time-varying functional connectivity in resting fMRI

Vince D. Calhoun, Martin A. Lindquist, Adeel Razi, 2020, Network Neuroscience.

Control of brain network dynamics across diverse scales of space and time.

Fabio Pasqualetti, Danielle S. Bassett, Evelyn Tang, 2019, Physical review. E.

Habit learning supported by efficiently controlled network dynamics in naive macaque monkeys pdf

Danielle S. Bassett, Theresa M. Desrochers, Ann M. Graybiel, 2020, ArXiv.

Abstract representations of events arise from mental errors in learning and memory

Ari E. Kahn, Christopher W. Lynn, D. Bassett, 2018, Nature Communications.

Structure from noise: Mental errors yield abstract representations of events

Danielle S. Bassett, Ari E. Kahn, Christopher W. Lynn, 2018 .

The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure

Danielle S Bassett, Fabio Pasqualetti, Scott T Grafton, 2016, Scientific Reports.

Optimal trajectories of brain state transitions

Fabio Pasqualetti, Danielle S. Bassett, Shi Gu, 2016, NeuroImage.

Surges of collective human activity emerge from simple pairwise correlations pdf

Daniel D. Lee, Danielle S. Bassett, Lia Papadopoulos, 2018, Physical Review X.

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

Christos Davatzikos, Russell T. Shinohara, Simon B. Eickhoff, 2017, NeuroImage.

Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity

Christos Davatzikos, Russell T. Shinohara, Simon B. Eickhoff, 2016, 1608.03616.

Crystalline shielding mitigates structural rearrangement and localizes memory in jammed systems under oscillatory shear

P. Arratia, D. Bassett, E. Teich, 2020, Science Advances.

Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists

Hao-Ting Wang, Danilo Bzdok, Janaina Mourão Miranda, 2020, NeuroImage.

α-Synuclein pathology spread through the brain connectome is modulated by selective vulnerability and predicted by network analysis

Danielle S Bassett, Eli J. Cornblath, Bin Zhang, 2019, Nature Neuroscience.

Network analysis of particles and grains

Mason A. Porter, Danielle S. Bassett, Lia Papadopoulos, 2017, J. Complex Networks.

Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

Fabrizio De Vico Fallani, Jean M. Vettel, Fabio Pasqualetti, 2019, Journal of neural engineering.

Glucocerebrosidase Activity Modulates Neuronal Susceptibility to Pathological α-Synuclein Insult

Eli J. Cornblath, D. Bassett, J. Trojanowski, 2019, Neuron.

Predicting future learning from baseline network architecture

Andrew S. Bock, Danielle S. Bassett, Scott T. Grafton, 2016, NeuroImage.

Crystallinity characterization of white matter in the human brain

Scott T. Grafton, D. Bassett, M. Cieslak, 2020, New Journal of Physics.

Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data

Danielle S. Bassett, Maxwell A. Bertolero, Arun S. Mahadevan, 2020, NeuroImage.

Stability of spontaneous, correlated activity in mouse auditory cortex

Danielle S Bassett, Richard F. Betzel, Richard F Betzel, 2018, bioRxiv.

The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability

Evan M. Gordon, Danielle S. Bassett, Richard F. Betzel, 2019, NeuroImage.

A multilayer network model of neuron-astrocyte populations in vitro reveals mGluR5 inhibition is protective following traumatic injury

Danielle S. Bassett, David F. Meaney, D. Bassett, 2019, bioRxiv.

Unifying the Notions of Modularity and Core–Periphery Structure in Functional Brain Networks during Youth

Danielle S. Bassett, Shi Gu, Tyler M. Moore, 2019, Cerebral cortex.

The emergent integrated network structure of scientific research

Russell T. Shinohara, Danielle S. Bassett, Jordan D. Dworkin, 2018, PloS one.

Multi-scale detection of hierarchical community architecture in structural and functional brain networks

Danielle S Bassett, Jean M Vettel, Arian Ashourvan, 2017, PloS one.

Correction: Stability of spontaneous, correlated activity in mouse auditory cortex

Katherine C. Wood, D. Bassett, R. Betzel, 2018, bioRxiv.

The community structure of functional brain networks exhibits scale-specific patterns of variability across individuals and time

Evan M. Gordon, Danielle S. Bassett, Richard F. Betzel, 2018, bioRxiv.

Mapping the structural and functional network architecture of the medial temporal lobe using 7T MRI

Danielle S Bassett, Kathryn A Davis, Brian Litt, 2018, Human brain mapping.

From Maps to Multi-dimensional Network Mechanisms of Mental Disorders

Danielle S. Bassett, Richard F. Betzel, Heike Tost, 2018, Neuron.

Structure, function, and control of the human musculoskeletal network

Danielle S Bassett, David Baker, Adam Lastowka, 2018, PLoS biology.

Brain state flexibility accompanies motor-skill acquisition

Danielle S. Bassett, Theodore D. Satterthwaite, Scott T. Grafton, 2017, NeuroImage.

The network architecture of value learning

Sharon L. Thompson-Schill, Danielle S. Bassett, Marcelo G. Mattar, 2016, Network Neuroscience.

Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function

Jean M. Vettel, Danielle S. Bassett, Arian Ashourvan, 2017, bioRxiv.

Cohesive network reconfiguration accompanies extended training

Danielle S Bassett, Scott T Grafton, Jean M Vettel, 2017, Human brain mapping.

Modeling and interpreting mesoscale network dynamics

Danielle S. Bassett, Ann Sizemore, Richard F. Betzel, 2017, NeuroImage.

Modelling and Interpreting Network Dynamics

Danielle S. Bassett, Richard F. Betzel, Ankit N. Khambhati, 2017, bioRxiv.

Dynamic graph metrics: Tutorial, toolbox, and tale

Danielle S. Bassett, Ann Sizemore, Ann E. Sizemore, 2017, NeuroImage.

Diversity of meso-scale architecture in human and non-human connectomes

Danielle S Bassett, Richard F. Betzel, John D Medaglia, 2017, Nature Communications.

Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.

Ankit N Khambhati, Danielle S Bassett, Scott T Grafton, 2016, Annual review of biomedical engineering.

Functional hypergraph uncovers novel covariant structures over neurodevelopment

Danielle S Bassett, Shi Gu, Theodore D Satterthwaite, 2016, Human brain mapping.

The energy landscape underpinning module dynamics in the human brain connectome☆

Jean M. Vettel, Danielle S. Bassett, Shi Gu, 2016, NeuroImage.

Multi-scale brain networks

Danielle S. Bassett, Richard F. Betzel, D. Bassett, 2016, NeuroImage.

Explicitly Linking Regional Activation and Function Connectivity: Community Structure of Weighted Networks with Continuous Annotation

Danielle S. Bassett, Shi Gu, Theodore D. Satterthwaite, 2016, 1611.07962.

Detection of functional brain network reconfiguration during task-driven cognitive states

Danielle S Bassett, Scott T Grafton, Scott T. Grafton, 2016, NeuroImage.

Two’s company, three (or more) is a simplex

Danielle S. Bassett, Chad Giusti, Robert Ghrist, 2016, Journal of Computational Neuroscience.

Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction

Danielle S. Bassett, Chad Giusti, Kelvin O. Lim, 2015, PloS one.

Stretch-induced network reconfiguration of collagen fibres in the human facet capsular ligament

Danielle S Bassett, Beth A Winkelstein, Sijia Zhang, 2016, Journal of The Royal Society Interface.

A Functional Cartography of Cognitive Systems

Sharon L. Thompson-Schill, Michael W. Cole, Danielle S. Bassett, 2015, PLoS Comput. Biol..

Cognitive Network Neuroscience

Danielle S. Bassett, John D. Medaglia, Mary-Ellen Lynall, 2015, Journal of Cognitive Neuroscience.

Extraction of force-chain network architecture in granular materials using community detection.

Danielle S Bassett, Mason A Porter, Eli T Owens, 2014, Soft matter.

Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy

Brian Litt, Danielle S. Bassett, Kathryn A. Davis, 2014, PLoS Comput. Biol..

Controllability of structural brain networks

Jean M. Vettel, Alfred B. Yu, Fabio Pasqualetti, 2014, Nature Communications.

Structurally-Constrained Relationships between Cognitive States in the Human Brain

Danielle S. Bassett, Scott T. Grafton, Jean M. Carlson, 2014, PLoS Comput. Biol..

Resolving Anatomical and Functional Structure in Human Brain Organization: Identifying Mesoscale Organization in Weighted Network Representations

Danielle S. Bassett, Kelvin O. Lim, Jean M. Carlson, 2013, PLoS Comput. Biol..

Resolving Structural Variability in Network Models and the Brain

Danielle S. Bassett, Peter J. Mucha, Jean M. Carlson, 2013, PLoS Comput. Biol..

Robust Detection of Dynamic Community Structure in Networks

Mason A. Porter, Danielle S. Bassett, Peter J. Mucha, 2012, Chaos.

Measuring and Modeling Behavioral Decision Dynamics in Collective Evacuation

Emily M. Craparo, Danielle S. Bassett, Jean M. Carlson, 2013, PloS one.

The why, how, and when of representations for complex systems pdf

Tina Eliassi-Rad, Danielle S. Bassett, Leo Torres, 2020, SIAM Rev..

Small-World Brain Networks Revisited

Edward T. Bullmore, Danielle S. Bassett, E. Bullmore, 2016, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

Detecting hierarchical genome folding with network modularity

Danielle S Bassett, Shi Gu, Jennifer E. Phillips-Cremins, 2018, Nature Methods.

The importance of the whole: Topological data analysis for the network neuroscientist

Danielle S Bassett, Robert Ghrist, Jennifer E. Phillips-Cremins, 2018, Network Neuroscience.

Cliques and cavities in the human connectome

Jean M. Vettel, Danielle S. Bassett, Chad Giusti, 2016, Journal of Computational Neuroscience.

Closures and Cavities in the Human Connectome

Ann E. Sizemore, D. Bassett, R. Betzel, 2016 .

Dynamic reconfiguration of functional brain networks during working memory training

Simone Kühn, Włodzisław Duch, Danielle S. Bassett, 2019, bioRxiv.

Variability in higher order structure of noise added to weighted networks

Danielle S. Bassett, Ann S. Blevins, Jason Z. Kim, 2021, Communications Physics.

Evolution of network architecture in a granular material under compression.

Danielle S Bassett, James G. Puckett, Lia Papadopoulos, 2016, Physical review. E.

Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology

Valerie J. Sydnor, Adam R. Pines, D. Bassett, 2021, Neuron.

Mind control as a guide for the mind

Danielle S. Bassett, John D. Medaglia, Perry Zurn, 2016, Nature Human Behaviour.

Cortical-subcortical structural connections support transcranial magnetic stimulation engagement of the amygdala

Valerie J. Sydnor, D. Bassett, Y. Sheline, 2021, bioRxiv.

Characterizing the role of the structural connectome in seizure dynamics.

Danielle S Bassett, Kathryn A Davis, Brian Litt, 2019, Brain : a journal of neurology.

Local structural connectivity directs seizure spread in focal epilepsy

Brian Litt, Russell T. Shinohara, Danielle S. Bassett, 2018, bioRxiv.

Structural, geometric and genetic factors predict interregional brain connectivity patterns probed by electrocorticography

Danielle S. Bassett, Ari E. Kahn, John D. Medaglia, 2019, Nature Biomedical Engineering.

Evolution of semantic networks in biomedical texts pdf

Danielle S. Bassett, Lucy R. Chai, D. Bassett, 2018, Journal of Complex Networks.

Multimodal electrophysiological analyses reveal that reduced synaptic excitatory neurotransmission underlies seizures in a model of NMDAR antibody-mediated encephalitis

Stuart D. Greenhill, D. Bassett, R. Rosch, 2021, Communications Biology.

Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution

Brian Litt, Danielle S. Bassett, Kathryn A. Davis, 2016, Neuron.

Generic aspects of complexity in brain imaging data and other biological systems

John Suckling, Edward T. Bullmore, Anna Barnes, 2009, NeuroImage.

A subset of topologically associating domains fold into mesoscale core-periphery networks

Jennifer E. Phillips-Cremins, D. Bassett, Katelyn R. Titus, 2019, Scientific Reports.

A mechanistic model of connector hubs, modularity and cognition

Danielle S. Bassett, Maxwell A. Bertolero, Mark D’Esposito, 2018, Nature Human Behaviour.

Human information processing in complex networks

Danielle S. Bassett, Ari E. Kahn, Lia Papadopoulos, 2019, Nature Physics.

Network Controllability in the Inferior Frontal Gyrus Relates to Controlled Language Variability and Susceptibility to TMS

Danielle S Bassett, Nicole White, John D Medaglia, 2018, The Journal of Neuroscience.

Dissociable multi-scale patterns of development in personalized brain networks

Maxwell A. Bertolero, Valerie J. Sydnor, Adam R. Pines, 2021, Nature Communications.

Process reveals structure: How a network is traversed mediates expectations about its architecture

Danielle S Bassett, Ari E Kahn, Elisabeth A Karuza, 2017, Scientific Reports.

Benchmarking Measures of Network Controllability on Canonical Graph Models

Fabio Pasqualetti, Danielle S. Bassett, Evelyn Tang, 2017, Journal of Nonlinear Science.

The Impact of In-Scanner Head Motion on Structural Connectivity Derived from Diffusion Tensor Imaging

Ragini Verma, Philip A. Cook, Danielle S. Bassett, 2017, bioRxiv.

Conserved and variable architecture of human white matter connectivity

Danielle S. Bassett, Scott T. Grafton, Jesse A. Brown, 2011, NeuroImage.

The Distributed Information Bottleneck reveals the explanatory structure of complex systems

Kieran A. Murphy, D. Bassett, 2022, ArXiv.

The extent and drivers of gender imbalance in neuroscience reference lists

Kristin A. Linn, Danielle S. Bassett, Jordan D. Dworkin, 2020, Nature Neuroscience.

Memory Sequencing Reveals Heritable Single-Cell Gene Expression Programs Associated with Distinct Cellular Behaviors

Sydney M. Shaffer, Ann E. Sizemore, D. Bassett, 2018, Cell.

Excitation and inhibition imbalance affects dynamical complexity through symmetries

Sydney M. Shaffer, Jason Z. Kim, D. Bassett, 2022, 2202.11738.

Reorderability of node-filtered order complexes.

Danielle S Bassett, Ann Sizemore Blevins, D. Bassett, 2019, Physical review. E.

The physics of brain network structure, function and control

Christopher W. Lynn, D. Bassett, 2019, Nature Reviews Physics.

Nonlinear and Cooperative Dynamics in the Human Brain: Evidence from Multimodal Neuroimaging

Danielle S. Bassett, Andreas Meyer-Lindenberg, D. Bassett, 2008 .

Altered resting state complexity in schizophrenia

Bryon A. Mueller, Danielle S. Bassett, Kelvin O. Lim, 2012, NeuroImage.

Computational modeling of tau pathology spread reveals patterns of regional vulnerability and the impact of a genetic risk factor

Eli J. Cornblath, D. Bassett, J. Trojanowski, 2021, Science Advances.

Path-dependent dynamics induced by rewiring networks of inertial oscillators.

Keith Wiley, Danielle S. Bassett, Fabio Pasqualetti, 2020, Physical review. E.

Evaluation of confound regression strategies for the mitigation of micromovement artifact in studies of dynamic resting-state functional connectivity and multilayer network modularity

Danielle S Bassett, Theodore D Satterthwaite, David M Lydon-Staley, 2019, Network Neuroscience.

On the nature and use of models in network neuroscience

J. Gold, D. Bassett, P. Zurn, 2018, Nature Reviews Neuroscience.

A Graph Signal Processing Perspective on Functional Brain Imaging

Alejandro Ribeiro, Dimitri Van De Ville, Danielle S. Bassett, 2018, Proceedings of the IEEE.

Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment

Danielle S. Bassett, Tyler M. Moore, Kosha Ruparel, 2018, NeuroImage.

Network Analyses and Nervous System Disorders

Danielle S. Bassett, John D. Medaglia, D. Bassett, 2017, Oxford Research Encyclopedia of Neuroscience.

Network Neuroscience: A Framework for Developing Biomarkers in Psychiatry.

Danielle S Bassett, David M Lydon-Staley, D. Bassett, 2018, Current topics in behavioral neurosciences.

Comparison of large-scale human brain functional and anatomical networks in schizophrenia

Edward T. Bullmore, Danielle S. Bassett, Kelvin O. Lim, 2017, NeuroImage: Clinical.

Functional Network Dynamics of the Language System

Danielle S. Bassett, Evelina Fedorenko, Marcelo G. Mattar, 2016, Cerebral cortex.

The flexible brain.

Danielle S Bassett, Richard F Betzel, Marcelo G Mattar, 2016, Brain : a journal of neurology.

Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan

Danielle S. Bassett, Scott T. Grafton, Kimberly J. Schlesinger, 2016, PLoS Comput. Biol..

The Role of Intrinsic Brain Functional Connectivity in Vulnerability and Resilience to Bipolar Disorder.

Danielle S Bassett, Sophia Frangou, David C Glahn, 2017, The American journal of psychiatry.

Author Correction: Dynamic reconfiguration of functional brain networks during working memory training

Simone Kühn, Włodzisław Duch, Danielle S. Bassett, 2020, Nature Communications.

Harmonizing functional connectivity reduces scanner effects in community detection

D. Bassett, S. Resnick, C. Davatzikos, 2021, NeuroImage.

Information content of brain states is explained by structural constraints on state energetics.

Eli J. Cornblath, Maxwell A. Bertolero, Jason Z. Kim, 2021, Physical review. E.

External drivers of BOLD signal’s non-stationarity

Maxwell A. Bertolero, Jason Z. Kim, D. Bassett, 2021, bioRxiv.

Environmental influences on the pace of brain development

Ursula A. Tooley, D. Bassett, A. Mackey, 2021, Nature Reviews Neuroscience.

Structural underpinnings of control in multiplex networks

P. Mucha, D. Bassett, F. Pasqualetti, 2021, 2103.08757.

Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states

Christopher W. Lynn, Adam R. Pines, D. Bassett, 2021, Communications Biology.

Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states

Christopher W. Lynn, Adam R. Pines, D. Bassett, 2021, Communications biology.

Electrocorticography and stereo EEG provide distinct measures of brain connectivity: implications for network models

A. Revell, B. Litt, Lohith G. Kini, 2020, medRxiv.

Dynamic representations in networked neural systems

D. Bassett, Harang Ju, 2020, Nature Neuroscience.

The sensitivity of network statistics to incomplete electrode sampling on intracranial EEG

Brian Litt, Russell T. Shinohara, Danielle S. Bassett, 2020, Network Neuroscience.

Deep Neural Networks Carve the Brain at its Joints

Maxwell A. Bertolero, D. Bassett, M. Bertolero, 2020, bioRxiv.

Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks

Fabio Pasqualetti, Jason Z. Kim, Danielle S. Bassett, 2020, Network Neuroscience.

Emerging roles of network analysis for epilepsy

Richard Staba, William Stacey, Mark Kramer, 2019, Epilepsy Research.

On the Nature of Explanations Offered by Network Science: A Perspective From and for Practicing Neuroscientists

Danielle S. Bassett, Maxwell A. Bertolero, D. Bassett, 2019, Top. Cogn. Sci..

Learning differentially reorganizes brain activity and connectivity

Danielle S. Bassett, Marcelo G. Mattar, Ankit N. Khambhati, 2018, bioRxiv.

Linear Dynamics and Control of Brain Networks

Jason Z. Kim, Danielle S. Bassett, Jason Z. Kim, 2020 .

Heritability and Cognitive Relevance of Structural Brain Controllability

Danielle S Bassett, Won Hee Lee, Sophia Frangou, 2019, Cerebral cortex.

How sensitive is functional connectivity to electrode resampling on intracranial EEG? Implications for personalized network models in drug-resistant epilepsy

Brian Litt, Russell T. Shinohara, Danielle S. Bassett, 2019, bioRxiv.

The network architecture of the human brain is modularly encoded in the genome

Graham L. Baum, Maxwell A. Bertolero, D. Bassett, 2019 .

The human brain's network architecture is genetically encoded by modular pleiotropy

Graham L. Baum, Maxwell A. Bertolero, D. Bassett, 2019, 1905.07606.

A dynamical systems framework to uncover the drivers of large-scale cortical activity

Brian Litt, Jason Z. Kim, Danielle S. Bassett, 2019, bioRxiv.

A Framework to Control Functional Connectivity in the Human Brain

D. Bassett, F. Pasqualetti, Tommaso Menara, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Linear Dynamics&Control of Brain Networks

Danielle S. Bassett, Jason Z. Kim, D. Bassett, 2019, 1902.03309.

Network architecture of energy landscapes in mesoscopic quantum systems

Danielle S. Bassett, Evelyn Tang, Abigail N. Poteshman, 2018, New Journal of Physics.

Network Models in Neuroscience

Danielle S. Bassett, Perry Zurn, Joshua I. Gold, 2018, The Neocortex.

A pairwise maximum entropy model uncovers the white matter scaffold underlying emergent dynamics in intracranial EEG

Brian Litt, Danielle S. Bassett, Shi Gu, 2018 .

Dynamic constraints on activity and connectivity during the learning of value

Danielle S. Bassett, Marcelo G. Mattar, Ankit N. Khambhati, 2018, bioRxiv.

Optimization of energy state transition trajectory supports the development of executive function during youth

Christos Davatzikos, Fabio Pasqualetti, Jason Z. Kim, 2018, bioRxiv.

Specificity and robustness of long-distance connections in weighted, interareal connectomes

Danielle S Bassett, Richard F. Betzel, Richard F Betzel, 2017, Proceedings of the National Academy of Sciences.

Brain network efficiency is influenced by the pathologic source of corticobasal syndrome

Santiago Segarra, Alejandro Ribeiro, Danielle S. Bassett, 2017, Neurology.

Generative models for network neuroscience: prospects and promise

Danielle S Bassett, Richard F. Betzel, Richard F Betzel, 2017, Journal of The Royal Society Interface.

Topological Principles of Control in Dynamical Network Systems

Jason Z. Kim, D. Bassett, F. Pasqualetti, 2017, 1702.00354.

Detecting hierarchical 3-D genome domain reconfiguration with network modularity

Danielle S. Bassett, Shi Gu, Jennifer E. Phillips-Cremins, 2016, bioRxiv.

Cross-linked structure of network evolution.

Danielle S Bassett, Scott T Grafton, Scott T. Grafton, 2013, Chaos.

Efficient Physical Embedding of Topologically Complex Information Processing Networks in Brains and Computer Circuits

Simon W. Moore, Edward T. Bullmore, Danielle S. Bassett, 2010, PLoS Comput. Biol..

Reliability of dynamic network reconfiguration: Impact of code implementation, parameter selection, scan duration, and task condition

Lei Ai, Michael P. Milham, Danielle S. Bassett, 2020 .

Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth

Maxwell A. Bertolero, Valerie J. Sydnor, Adam R. Pines, 2021, Biological Psychiatry.

Disrupted dynamic network reconfiguration of the language system in temporal lobe epilepsy

Danielle S Bassett, Xiaosong He, Michael R Sperling, 2018, Brain : a journal of neurology.

Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth

Maxwell A. Bertolero, Valerie J. Sydnor, Adam R. Pines, 2021, Biological Psychiatry.

QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI

Christos Davatzikos, Mark A. Elliott, Beatriz Luna, 2020, bioRxiv.

Individual Variation in Functional Topography of Association Networks in Youth

Christos Davatzikos, Russell T. Shinohara, Bart Larsen, 2020, Neuron.

Mitigating head motion artifact in functional connectivity MRI

Adon F. G. Rosen, D. Bassett, C. Davatzikos, 2018, Nature Protocols.

Data-driven control of complex networks pdf

Fabio Pasqualetti, Danielle S. Bassett, Giacomo Baggio, 2020, Nature Communications.

Connectome-Wide Network Analysis of Youth with Psychosis Spectrum Symptoms

Efstathios D. Gennatas, H. Hakonarson, D. Bassett, 2015, Molecular Psychiatry.

BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Ari E. Kahn, D. Bassett, N. George, 2020, Journal of neural engineering.

Sex differences in network controllability as a predictor of executive function in youth

Danielle S. Bassett, Evelyn Tang, Graham L. Baum, 2018, NeuroImage.

White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions

Brian Litt, Fabio Pasqualetti, Danielle S. Bassett, 2018, bioRxiv.

Predictive control of electrophysiological network architecture using direct, single-node neurostimulation in humans

Bradley C. Lega, Joseph I. Tracy, Danielle S. Bassett, 2018, bioRxiv.

On Structural Controllability of Symmetric (Brain) Networks pdf

Fabio Pasqualetti, Danielle S. Bassett, Shi Gu, 2017, ArXiv.

Quantifying the compressibility of complex networks

Christopher W. Lynn, D. Bassett, 2021, Proceedings of the National Academy of Sciences.

Compressibility of complex networks

Danielle S. Bassett, Christopher W. Lynn, D. Bassett, 2020, 2011.08994.

Language Tasks and the Network Control Role of the Left Inferior Frontal Gyrus

Denise Y. Harvey, D. Bassett, J. Medaglia, 2021, eNeuro.

Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia

Richard F. Betzel, D. Durstewitz, D. Bassett, 2021, Nature Communications.

Network structure of cascading neural systems predicts stimulus propagation and recovery

John M. Beggs, Jason Z. Kim, D. Bassett, 2018, Journal of neural engineering.

Brain state stability during working memory is explained by network control theory, modulated by dopamine D1/D2 receptor function, and diminished in schizophrenia

Daniel Durstewitz, Fabio Pasqualetti, Danielle S. Bassett, 2019, bioRxiv.

Hunters, busybodies and the knowledge network building associated with deprivation curiosity

Danielle S Bassett, Perry Zurn, Ann Sizemore Blevins, 2020, Nature Human Behaviour.

Teaching recurrent neural networks to infer global temporal structure from local examples

George J. Pappas, Zhixin Lu, Danielle S. Bassett, 2021, Nature Machine Intelligence.

In vitro characterisation and neurosteroid treatment of an N-Methyl-D-Aspartate receptor antibody-mediated seizure model

D. Bassett, R. Rosch, G. Woodhall, 2020, bioRxiv.

Is the brain macroscopically linear? A system identification of resting state dynamics

George J. Pappas, Eli J. Cornblath, Maxwell A. Bertolero, 2020, ArXiv.

Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example pdf

George J. Pappas, Jason Z. Kim, Danielle S. Bassett, 2020, ArXiv.

Data-driven brain network models differentiate variability across language tasks

Danielle S Bassett, Jean M Vettel, John D Medaglia, 2018, PLoS Comput. Biol..

Stimulation-Based Control of Dynamic Brain Networks

Sarah Feldt Muldoon, Jean M. Vettel, Fabio Pasqualetti, 2016, PLoS Comput. Biol..

Personalized Neuroscience: Common and Individual-Specific Features in Functional Brain Networks

Danielle S. Bassett, Theodore D. Satterthwaite, Cedric H. Xia, 2018, Neuron.

Space-independent community and hub structure of functional brain networks

Danielle S. Bassett, Richard F. Betzel, Maxwell A. Bertolero, 2019, NeuroImage.

Inter-regional ECoG correlations predicted by communication dynamics, geometry, and correlated gene expression

Danielle S. Bassett, Ari E. Kahn, John D. Medaglia, 2017, 1706.06088.

Cognitive Control in the Controllable Connectome

Fabio Pasqualetti, Danielle S. Bassett, Shi Gu, 2016, 1606.09185.

Large-scale dynamic modeling of task-fMRI signals via subspace system identification

Danielle S Bassett, Cassiano O. Becker, Cassiano O Becker, 2018, Journal of neural engineering.

Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising

Fabrizio De Vico Fallani, Danielle S. Bassett, Stefania Colonnese, 2020, IEEE Transactions on Signal and Information Processing over Networks.

Small-World Propensity and Weighted Brain Networks

Sarah Feldt Muldoon, Danielle S. Bassett, Eric W. Bridgeford, 2016, Scientific Reports.

Architecture and evolution of semantic networks in mathematics texts

Danielle S. Bassett, Nicolas H. Christianson, Ann Sizemore Blevins, 2019, Proceedings of the Royal Society A.

Controllability of Structural Brain Networks and the Waxing and Waning of Negative Affect in Daily Life

P. Mucha, D. Bassett, K. Ochsner, 2021, Biological psychiatry global open science.

Developmental increases in white matter network controllability support a growing diversity of brain dynamics

Danielle S Bassett, Ari E Kahn, Evelyn Tang, 2016, Nature Communications.

Temporal networks of tobacco withdrawal symptoms during smoking cessation treatment.

Megan E. Piper, D. Bassett, M. Piper, 2020, Journal of abnormal psychology.

Time-evolving controllability of effective connectivity networks during seizure progression

Brian Litt, Fabio Pasqualetti, Danielle S. Bassett, 2020, Proceedings of the National Academy of Sciences.

Network and Multilayer Network Approaches to Understanding Human Brain Dynamics

Sarah Feldt Muldoon, Danielle S. Bassett, D. Bassett, 2016, Philosophy of Science.

Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience.

Danielle S Bassett, Theodore D Satterthwaite, Cedric Huchuan Xia, 2018, Biological psychiatry. Cognitive neuroscience and neuroimaging.

Dissociable changes in functional network topology underlie early category learning and development of automaticity

Danielle S. Bassett, F. Gregory Ashby, Fabian A. Soto, 2014, NeuroImage.

Reproducibility of graph metrics of human brain functional networks

Edward T. Bullmore, Danielle S. Bassett, Brigitte Rockstroh, 2009, NeuroImage.

Structural Pathways Supporting Swift Acquisition of New Visuomotor Skills

Jean M. Vettel, Danielle S. Bassett, Ari E. Kahn, 2016, Cerebral cortex.

Mitigating head motion artifact in functional connectivity MRI

Danielle S Bassett, Christos Davatzikos, Matthew Cieslak, 2018, Nature Protocols.

Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation

D. Bassett, F. Pasqualetti, Yuzhen Qin, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Editorial: New Trends in Connectomics

Olaf Sporns, Danielle S. Bassett, O. Sporns, 2018, Network Neuroscience.

Relay Interactions Enable Remote Synchronization in Networks of Phase Oscillators

D. Bassett, F. Pasqualetti, Yuzhen Qin, 2022, IEEE Control Systems Letters.

Increasingly diverse brain dynamics in the developmental arc: using Pareto-optimization to infer a mechanism

Danielle S. Bassett, Evelyn Tang, Chad Giusti, 2017 .

Synchronization patterns in networks of Kuramoto oscillators: A geometric approach for analysis and control

Mario Innocenti, Fabio Pasqualetti, Chiara Favaretto, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Development of structural correlations and synchronization from adaptive rewiring in networks of Kuramoto oscillators

Danielle S Bassett, Jürgen Kurths, Lia Papadopoulos, 2017, Chaos.

Bode meets Kuramoto: Synchronized clusters in oscillatory networks

Fabio Pasqualetti, Chiara Favaretto, Danielle S. Bassett, 2017, 2017 American Control Conference (ACC).

Graph learning: How humans infer and represent networks

Danielle S. Bassett, Christopher W. Lynn, D. Bassett, 2019 .

RE: Warnings and caveats in brain controllability

Danielle S. Bassett, Shi Gu, Fabio Pasqualetti, 2019, NeuroImage.

Flexible Coordinator and Switcher Hubs for Adaptive Task Control

Danielle S. Bassett, Takuya Ito, Douglas H. Schultz, 2019, The Journal of Neuroscience.

Mediated Remote Synchronization of Kuramoto-Sakaguchi Oscillators: The Number of Mediators Matters

Ming Cao, Danielle S. Bassett, Yuzhen Qin, 2020, IEEE Control Systems Letters.

Design of Large Sequential Conformational Change in Mechanical Networks

Jason Z. Kim, Zhixin Lu, Danielle S. Bassett, 2019, 1906.08400.

Model-based design for seizure control by stimulation

Brian Litt, George J. Pappas, Jean M Vettel, 2020, Journal of neural engineering.

Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination

Brian Litt, George J. Pappas, Jean M. Vettel, 2017, 1706.08202.

Recurring Functional Interactions Predict Network Architecture of Interictal and Ictal States in Neocortical Epilepsy

D. Bassett, T. Lucas, B. Litt, 2016, eNeuro.

Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands

Graham L. Baum, Eli J. Cornblath, Jason Z. Kim, 2020, Communications Biology.

Tau pathology spreads between anatomically-connected regions of the brain and is modulated by a LRRK2 mutation

Eli J. Cornblath, D. Bassett, J. Trojanowski, 2020, bioRxiv.

Network constraints on learnability of probabilistic motor sequences

Danielle S Bassett, Ari E Kahn, Elisabeth A Karuza, 2017, Nature Human Behaviour.

Graph learning: How humans infer and represent networks

Christopher W. Lynn, D. Bassett, 2019 .

The growth and form of knowledge networks by kinesthetic curiosity

Danielle S. Bassett, Perry Zurn, David M. Lydon-Staley, 2020, Current Opinion in Behavioral Sciences.

Functional brain network architecture supporting the learning of social networks in humans

Jean M. Vettel, Danielle S. Bassett, Ari E. Kahn, 2019, NeuroImage.

Subgraphs of functional brain networks identify dynamical constraints of cognitive control

Sharon L. Thompson-Schill, Danielle S. Bassett, John D. Medaglia, 2017, bioRxiv.

Collective Decision Dynamics in the Presence of External Drivers

Danielle S. Bassett, Jean M. Carlson, David L. Alderson, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Topological distortion and reorganized modular structure of gut microbial co-occurrence networks in inflammatory bowel disease

Danielle S. Bassett, Steven N. Baldassano, D. Bassett, 2016, Scientific Reports.

Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity

Tinashe M. Tapera, E. Leibenluft, D. Bassett, 2021, bioRxiv.

Individual differences in frontoparietal plasticity in humans

Emily A. Cooper, Ursula A. Tooley, D. Bassett, 2021, npj Science of Learning.

Network neuroscience for optimizing brain-computer interfaces.

Danielle S Bassett, Fabrizio De Vico Fallani, D. Bassett, 2018, Physics of life reviews.

INFORMED BY DIFFUSION-WEIGHTED IMAGING

D. Bassett, J. Vettel, 2010 .

Learning Continuous Chaotic Attractors with a Reservoir Computer pdf

Danielle S. Bassett, Lindsay M. Smith, Jason Z. Kim, 2021, Chaos.

The growing topology of the C. elegans connectome

Danielle S. Bassett, Ann S. Blevins, Alec Helm, 2020, bioRxiv.

Synchronization of coupled Kuramoto oscillators under resource constraints.

Danielle S. Bassett, Peter J. Mucha, Keith A. Kroma-Wiley, 2020, Physical review. E.

Topological and geometric measurements of force-chain structure.

Danielle S Bassett, Chad Giusti, Lia Papadopoulos, 2016, Physical review. E.

Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators

Giacomo Baggio, Fabio Pasqualetti, Danielle S. Bassett, 2018, IEEE Transactions on Control of Network Systems.

Network controllability mediates the relationship between rigid structure and flexible dynamics

D. Bassett, R. Gur, R. Gur, 2021, bioRxiv.

Network Controllability in Transmodal Cortex Predicts Positive Psychosis Spectrum Symptoms

D. Bassett, R. Gur, R. Gur, 2021, Biological Psychiatry.

Multi‐scale network regression for brain‐phenotype associations

Russell T. Shinohara, Danilo Bzdok, Danielle S. Bassett, 2019, bioRxiv.

Comparing two classes of biological distribution systems using network analysis

Danielle S Bassett, Henrik Ronellenfitsch, David Kleinfeld, 2018, PLoS Comput. Biol..

Knowledge gaps in the early growth of semantic feature networks

Danielle S. Bassett, Chad Giusti, Elisabeth A. Karuza, 2018, Nature Human Behaviour.

Knowledge gaps in the early growth of semantic networks

Danielle S. Bassett, Chad Giusti, Elisabeth A. Karuza, 2017, 1709.00133.

Rentian scaling for the measurement of optimal embedding of complex networks into physical space

Danielle S. Bassett, Florian Klimm, Qawi K. Telesford, 2017, J. Complex Networks.

On Human Brain Networks in Health and Disease

Sarah Feldt Muldoon, Danielle S. Bassett, Urs Braun, 2015 .

Dynamic network centrality summarizes learning in the human brain

Mason A. Porter, Alexander V. Mantzaris, Desmond J. Higham, 2012, J. Complex Networks.

Network structure influences the strength of learned neural representations

Karol P Szymula, D. Bassett, G. Aguirre, 2023, bioRxiv.

Effective learning is accompanied by high-dimensional and efficient representations of neural activity

D. Bassett, S. Thompson-Schill, Chad Giusti, 2019, Nature Neuroscience.

Human Sensitivity to Community Structure Is Robust to Topological Variation

Danielle S. Bassett, Ari E. Kahn, Ari Kahn, 2019, Complex..

Individual Differences in Learning Social and Nonsocial Network Structures

Danielle S Bassett, Ari E Kahn, Jean M Vettel, 2017, Journal of experimental psychology. Learning, memory, and cognition.

Phase/Amplitude Synchronization of Brain Signals During Motor Imagery BCI Tasks

Danielle S. Bassett, Stefania Colonnese, Gaetano Scarano, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Structure, function, and control of the musculoskeletal network - Data

Danielle S. Bassett, Sarah F. Muldoon, David Baker, 2016, 1612.06336.

Structural analysis and design of dynamic-flow networks: Implications in the brain dynamics

Brian Litt, George J. Pappas, Sérgio Pequito, 2016, 2016 American Control Conference (ACC).

Functional control of electrophysiological network architecture using direct neurostimulation in humans

Bradley C. Lega, Joseph I. Tracy, Danielle S. Bassett, 2019, Network Neuroscience.

Predicted disconnectome associated with progressive periventricular white matter ischemia

D. Bassett, J. Detre, M. Habes, 2021, Cerebral circulation - cognition and behavior.

Neurophysiological Evidence for Cognitive Map Formation during Sequence Learning

Christopher W. Lynn, Karol P Szymula, D. Bassett, 2021, eNeuro.

Graph Frequency Analysis of Brain Signals

Alejandro Ribeiro, Danielle S. Bassett, Scott T. Grafton, 2015, IEEE Journal of Selected Topics in Signal Processing.

Individual differences in delay discounting are associated with dorsal prefrontal cortex connectivity in children, adolescents, and adults

Adam R. Pines, J. Kable, D. Bassett, 2023, Developmental Cognitive Neuroscience.

Individual Variation in Control Network Topography Supports Executive Function in Youth

Christos Davatzikos, Russell T. Shinohara, Yong Fan, 2019, bioRxiv.

Impact of childhood adversity on network reconfiguration dynamics during working memory in hypogonadal women

D. Bassett, R. Gur, J. Loughead, 2020, Psychoneuroendocrinology.

CoCoA: Conditional Correlation Models with Association Size

Maxwell A. Bertolero, D. Bassett, R. Gur, 2022, bioRxiv.

Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis pdf

Hao-Ting Wang, Danilo Bzdok, Janaina Mourão Miranda, 2018, ArXiv.

Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies

Danielle S Bassett, Christos Davatzikos, Theodore D Satterthwaite, 2019, Human brain mapping.

Brain Activity Tracks Population Information Sharing by Capturing Consensus Judgments of Value.

D. Bassett, J. Vettel, B. Doré, 2018, Cerebral cortex.

Dynamic structural network evolution in compressed granular systems

Danielle S. Bassett, James G. Puckett, Lia Papadopoulos, 2016 .

Alprazolam modulates persistence energy during emotion processing in first-degree relatives of individuals with schizophrenia: a network control study

Ari E. Kahn, Eli J. Cornblath, D. Bassett, 2021, bioRxiv.

Individual Di&erences in Learning Social and Non- Social Network Structures

D. Bassett, J. Vettel, E. Falk, 2021 .

Functional brain network reconfiguration during learning in a dynamic environment

Danielle S. Bassett, Ankit N. Khambhati, Joseph W. Kable, 2019, Nature Communications.

Brain network analysis: a practical tutorial.

Danielle S Bassett, D. Bassett, 2016, Brain : a journal of neurology.

Functional disconnection of associative cortical areas predicts performance during BCI learning

Danielle S. Bassett, Denis Schwartz, Laurent Hugueville, 2019 .

A Powerful DREADD: Revealing Structural Drivers of Functional Dynamics

Danielle S. Bassett, Ankit N. Khambhati, D. Bassett, 2016, Neuron.

Spectral mapping of brain functional connectivity from diffusion imaging

Danielle S Bassett, George J. Pappas, Sérgio Pequito, 2018, Scientific Reports.

Spatial brain networks

Danielle S. Bassett, Jennifer Stiso, D. Bassett, 2018 .

Conformational control of mechanical networks

Jason Z. Kim, S. Strogatz, D. Bassett, 2019, Nature Physics.

Conformational control of mechanical networks

Zhixin Lu, Danielle S. Bassett, Steven H. Strogatz, 2018, Nature Physics.

Structural drivers of diverse neural dynamics and their evolution across development

Danielle S. Bassett, Evelyn Tang, Chad Giusti, 2016, 1607.01010.

Structural Controllability of Symmetric Networks

Fabio Pasqualetti, Danielle S. Bassett, Tommaso Menara, 2019, IEEE Transactions on Automatic Control.

The feasibility of an in‐scanner smoking lapse paradigm to examine the neural correlates of lapses

D. Bassett, E. Falk, R. MacLean, 2021, Addiction biology.

Embedding of biological distribution networks with differing environmental constraints

Danielle S. Bassett, Henrik Ronellenfitsch, David Kleinfeld, 2016, 1612.08058.

A Neural Programming Language for the Reservoir Computer

Jason Z. Kim, D. Bassett, 2022, 2203.05032.

Exposure theory for learning complex networks with random walks

D. Bassett, A. Klishin, 2022, J. Complex Networks.

Characterization of Mental States through Node Connectivity between Brain Signals

Danielle S. Bassett, Stefania Colonnese, Fabrizio de Vico Fallani, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Edinburgh Research Explorer Reflections on the past two decades of neuroscience

M. Sur, B. Khakh, M. Farah, 2022 .

Daily Stressor-Related Negative Mood and its Associations with Flourishing and Daily Curiosity

D. Bassett, B. Doré, E. Falk, 2021, Journal of Happiness Studies.

The modular organization of human anatomical brain networks: Accounting for the cost of wiring

Graham L. Baum, D. Bassett, R. Betzel, 2016, Network Neuroscience.

Network structure influences the strength of learned neural representations

Ari E. Kahn, Karol P Szymula, D. Bassett, 2023, bioRxiv.

Stability Conditions for Cluster Synchronization in Networks of Kuramoto Oscillators pdf

Giacomo Baggio, Fabio Pasqualetti, Danielle S. Bassett, 2018, ArXiv.

Spatial Embedding Imposes Constraints on the Network Architectures of Neural Systems

Jennifer Stiso, Danielle Bassett, D. Bassett, 2018, 1807.04691.

Single-cell Networks Reorganise to Facilitate Whole-brain Supercritical Dynamics During Epileptic Seizures

M. Meyer, D. Bassett, R. Rosch, 2021, bioRxiv.

Non-equilibrium dynamics and entropy production in the human brain

Eli J. Cornblath, Maxwell A. Bertolero, Christopher W. Lynn, 2020 .

Graph Signal Processing of Human Brain Imaging Data

Alejandro Ribeiro, Dimitri Van De Ville, Danielle S. Bassett, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Individual differences in delay discounting are associated with dorsal prefrontal cortex connectivity in children, adolescents, and adults

Adam R. Pines, J. Kable, D. Bassett, 2023, Developmental Cognitive Neuroscience.

Invertible generalized synchronization: A putative mechanism for implicit learning in neural systems.

Danielle S Bassett, Zhixin Lu, D. Bassett, 2020, Chaos.

Daily and momentary sensation-seeking and urgency in young adults: Associations with risk-taking and sleep

D. Bassett, E. Falk, A. McGowan, 2021 .

Vibrational Stabilization of Cluster Synchronization in Oscillator Networks

D. Bassett, F. Pasqualetti, Yuzhen Qin, 2023, IEEE Open Journal of Control Systems.

Exact and Approximate Stability Conditions for Cluster Synchronization of Kuramoto Oscillators

Giacomo Baggio, Fabio Pasqualetti, Danielle S. Bassett, 2019, 2019 American Control Conference (ACC).

Brain signal analytics from graph signal processing perspective

Alejandro Ribeiro, Danielle S. Bassett, Scott T. Grafton, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Developmental increases in white matter network controllability support a growing diversity of brain dynamics

Graham L. Baum, Ari E. Kahn, D. Bassett, 2016, Nature Communications.

The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability

Evan M. Gordon, Richard F. Betzel, Maxwell A. Bertolero, 2019, NeuroImage.

Brain connectivity is modularly represented in the genome

Graham L. Baum, Maxwell A. Bertolero, D. Bassett, 2018 .

Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression

E. Leibenluft, J. Kable, D. Bassett, 2015, Neuropsychopharmacology.

TOPOGRAPHIC PROFILING OF MEMORY-RELATED PATTERN SEPARATION PROCESSES IN HUMANS

Reinder Vos de Wael, D. Bassett, J. Smallwood, 2020 .

Functional control of electrophysiological network architecture using direct neurostimulation in humans

Ari E. Kahn, D. Bassett, T. Lucas, 2019, Network Neuroscience.

Know Your Place: Neural Processing of Social Hierarchy in Humans

C. Zink, D. Bassett, A. Meyer-Lindenberg, 2008, Neuron.

Local Patterns to Global Architectures: Influences of Network Topology on Human Learning

D. Bassett, S. Thompson-Schill, E. A. Karuza, 2016, Trends in Cognitive Sciences.

Mental State Transitions and the Role of Polysynaptic Pathways

D. Bassett, R. Betzel, Theresa Rizk, 2016 .

Detection of functional brain network reconfiguration during task-driven cognitive states

Scott T. Grafton, Michael B. Miller, D. Bassett, 2016, NeuroImage.

Rentian scaling for the measurement of optimal embedding of complex networks into physical space

D. Bassett, F. Klimm, M. Sperry, 2017, J. Complex Networks.

Robust Detection of Dynamic Community Structure in Networks

Scott T. Grafton, P. Mucha, D. Bassett, 2012, Chaos.

Brain Network Architecture: Implications for Human Learning

Danielle S. Bassett, Marcelo G. Mattar, D. Bassett, 2016, 1609.01790.

Brain-based ranking of cognitive domains to predict schizophrenia

G. Varoquaux, B. Thirion, O. Grisel, 2018, bioRxiv.

Evolution of brain network dynamics in neurodevelopment

Lucy R. Chai, D. Bassett, R. Gur, 2017, Network Neuroscience.

A Network Science Cartography of Cognitive Control System Dynamics

Michael W. Cole, Danielle S. Bassett, Michael Cole, 2018 .

Inaugural Article: Dynamic network structure of interhemispheric coordination

M. Gazzaniga, D. Bassett, K. Doron, 2012 .

Defining and predicting transdiagnostic categories of neurodegenerative disease

Eli J. Cornblath, John L. Robinson, D. Bassett, 2019, Nature Biomedical Engineering.

Network structure of cascading neural systems predicts stimulus propagation and recovery

John M. Beggs, Jason Z. Kim, D. Bassett, 2020, Journal of neural engineering.

Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists

D. Bassett, J. Miranda, J. Smallwood, 2020, NeuroImage.

Supplement to: Diversity of meso-scale architecture in human and non-human connectomes

Richard F. Betzel, D. Bassett, J. Medaglia, 2017 .

Supplement to : Optimally controlling the human connectome : the role of network topology

Richard F. Betzel, D. Bassett, Shi Gu, 2016 .

Development of top-down cortical propagations in youth

Maxwell A. Bertolero, Tinashe M. Tapera, Adam R. Pines, 2023, Neuron.

Supervised chaotic source separation by a tank of water

Jason Z. Kim, D. Bassett, Zhixin Lu, 2019, Chaos.

Reorderability of node-filtered order complexes.

D. Bassett, Ann Sizemore Blevins, 2020, Physical review. E.

Core-Periphery Organisation of Human Brain Dynamics

Mason A. Porter, Danielle S. Bassett, Peter J. Mucha, 2012 .

Accurately Predicting Functional Connectivity from Diffusion Imaging

George J. Pappas, Victor M. Preciado, Cassiano O. Becker, 2015, 1512.02602.

A Parsimonious Dynamical Model for Structural Learning in the Human Brain

D. Bassett, Zhixin Lu, 2018 .

Measuring Neuronal Avalanches to inform Brain-Computer Interfaces

Leonardo L. Gollo, Ari E. Kahn, D. Bassett, 2023, bioRxiv.

Network structure of neural systems supporting cascading dynamics predicts stimulus propagation and recovery

Danielle S. Bassett, Harang Ju, Jason Kim, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Functional disconnection of associative cortical areas predicts performance during BCI learning

Ari E. Kahn, D. Bassett, N. George, 2019 .

Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

D. Bassett, T. Lucas, F. Pasqualetti, 2019, Journal of neural engineering.

Spatiotemporal neural correlates of brain-computer interface learning

Danielle S. Bassett, Denis Schwartz, Laurent Hugueville, 2018, bioRxiv.

Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface

D. Bassett, M. Chavez, D. Schwartz, 2017, Int. J. Neural Syst..

Brain Network Architecture

Danielle S. Bassett, Marcelo G. Mattar, D. Bassett, 2019 .

The expanding horizons of network neuroscience: From description to prediction and control

D. Bassett, P. Fotiadis, P. Srivastava, 2022, NeuroImage.

Edinburgh Research Explorer Reflections on the past two decades of neuroscience

M. Sur, B. Khakh, M. Farah, 2022 .

Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks

Shubhankar P. Patankar, Jason Z. Kim, D. Bassett, 2020, Network Neuroscience.

How humans learn and represent networks

Christopher W. Lynn, D. Bassett, 2019, Proceedings of the National Academy of Sciences.

Uncovering dynamic stock return correlations with multilayer network analysis

D. Bassett, Robert Ready, Danielle N. Rubin, 2019, Appl. Netw. Sci..

Network Controllability in the IFG Relates to Controlled Language Variability and Susceptibility to TMS

Denise Y. Harvey, D. Bassett, J. Medaglia, 2017, 1709.05022.

Material for : Resolving Structure in Human Brain Organization : Identifying Mesoscale Organization in Weighted Network Representations

D. Bassett, J. Carlson, K. Lim, 2014 .

Spectral mapping of brain functional connectivity from diffusion imaging

Cassiano O. Becker, Scott T. Grafton, Michael B. Miller, 2018, Scientific Reports.