Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders

[1]  Gustavo Deco,et al.  Modeling resting-state functional networks when the cortex falls asleep: local and global changes. , 2014, Cerebral cortex.

[2]  John Suckling,et al.  A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series , 2014, NeuroImage.

[3]  Nicola Filippini,et al.  Functional connectivity in the basal ganglia network differentiates PD patients from controls , 2014, Neurology.

[4]  Ravi S. Menon,et al.  Identification of Optimal Structural Connectivity Using Functional Connectivity and Neural Modeling , 2014, The Journal of Neuroscience.

[5]  M. Corbetta,et al.  How Local Excitation–Inhibition Ratio Impacts the Whole Brain Dynamics , 2014, The Journal of Neuroscience.

[6]  Neda Jahanshad,et al.  Whole-genome analyses of whole-brain data: working within an expanded search space , 2014, Nature Neuroscience.

[7]  Peter M Visscher,et al.  Large-scale genomics unveils the genetic architecture of psychiatric disorders , 2014, Nature Neuroscience.

[8]  H. Laufs,et al.  Decoding Wakefulness Levels from Typical fMRI Resting-State Data Reveals Reliable Drifts between Wakefulness and Sleep , 2014, Neuron.

[9]  Hamid Reza Mohseni,et al.  Exploring mechanisms of spontaneous functional connectivity in MEG: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations , 2014, NeuroImage.

[10]  C. Mathys,et al.  Computational approaches to psychiatry , 2014, Current Opinion in Neurobiology.

[11]  O. Sporns.  Contributions and challenges for network models in cognitive neuroscience , 2014, Nature Neuroscience.

[12]  Stephen M Smith,et al.  Fast transient networks in spontaneous human brain activity , 2014, eLife.

[13]  Eswar Damaraju,et al.  Tracking whole-brain connectivity dynamics in the resting state. , 2014, Cerebral cortex.

[14]  Morten L. Kringelbach,et al.  Exploring the network dynamics underlying brain activity during rest , 2014, Progress in Neurobiology.

[15]  A. Fornito,et al.  Brain Networks in Schizophrenia , 2014, Neuropsychology Review.

[16]  Morten L. Kringelbach,et al.  Neural Plasticity in Human Brain Connectivity: The Effects of Long Term Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson’s Disease , 2014, PloS one.

[17]  Timothy O. Laumann,et al.  Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.

[18]  Gustavo Deco,et al.  Structural connectivity in schizophrenia and its impact on the dynamics of spontaneous functional networks. , 2013, Chaos.

[19]  René S. Kahn,et al.  Impaired Rich Club Connectivity in Unaffected Siblings of Schizophrenia Patients , 2013, Schizophrenia bulletin.

[20]  O. Sporns,et al.  Network hubs in the human brain , 2013, Trends in Cognitive Sciences.

[21]  Edward T. Bullmore,et al.  Fledgling pathoconnectomics of psychiatric disorders , 2013, Trends in Cognitive Sciences.

[22]  R. Cameron Craddock,et al.  Clinical applications of the functional connectome , 2013, NeuroImage.

[23]  Jeff H. Duyn,et al.  Sleep and the functional connectome , 2013, NeuroImage.

[24]  H. Laufs,et al.  Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep , 2013, Proceedings of the National Academy of Sciences.

[25]  Ravi S. Menon,et al.  Resting‐state networks show dynamic functional connectivity in awake humans and anesthetized macaques , 2013, Human brain mapping.

[26]  Joaquín Goñi,et al.  Abnormal rich club organization and functional brain dynamics in schizophrenia. , 2013, JAMA psychiatry.

[27]  A. Franco,et al.  Toward a neuroimaging treatment selection biomarker for major depressive disorder. , 2013, JAMA psychiatry.

[28]  Maurizio Corbetta,et al.  Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations , 2013, The Journal of Neuroscience.

[29]  Fenna M. Krienen,et al.  Opportunities and limitations of intrinsic functional connectivity MRI , 2013, Nature Neuroscience.

[30]  K. Berridge,et al.  Neuroscience of affect: brain mechanisms of pleasure and displeasure , 2013, Current Opinion in Neurobiology.

[31]  Keith Heberlein,et al.  Imaging human connectomes at the macroscale , 2013, Nature Methods.

[32]  T. Insel,et al.  Toward the future of psychiatric diagnosis: the seven pillars of RDoC , 2013, BMC Medicine.

[33]  Gustavo Deco,et al.  Resting brains never rest: computational insights into potential cognitive architectures , 2013, Trends in Neurosciences.

[34]  Viktor K. Jirsa,et al.  The Virtual Brain Integrates Computational Modeling and Multimodal Neuroimaging , 2013, Brain Connect..

[35]  Olaf Sporns,et al.  Network attributes for segregation and integration in the human brain , 2013, Current Opinion in Neurobiology.

[36]  Karl J. Friston,et al.  Analysing connectivity with Granger causality and dynamic causal modelling , 2013, Current Opinion in Neurobiology.

[37]  Kang Sim,et al.  Longitudinal neuroimaging and neuropsychological changes in bipolar disorder patients: Review of the evidence , 2013, Neuroscience & Biobehavioral Reviews.

[38]  A. Lozano,et al.  Probing and Regulating Dysfunctional Circuits Using Deep Brain Stimulation , 2013, Neuron.

[39]  I. Hickie,et al.  A systematic review of resting-state functional-MRI studies in major depression. , 2012, Journal of affective disorders.

[40]  T. Insel,et al.  Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it? , 2012, Molecular Psychiatry.

[41]  Enzo Tagliazucchi,et al.  Automatic sleep staging using fMRI functional connectivity data , 2012, NeuroImage.

[42]  Edward T. Bullmore,et al.  Schizophrenia, neuroimaging and connectomics , 2012, NeuroImage.

[43]  W. Singer,et al.  Neuronal Dynamics and Neuropsychiatric Disorders: Toward a Translational Paradigm for Dysfunctional Large-Scale Networks , 2012, Neuron.

[44]  Maja A. A. Binnewijzend,et al.  Resting-state fMRI changes in Alzheimer's disease and mild cognitive impairment , 2012, Neurobiology of Aging.

[45]  Morten L. Kringelbach,et al.  Modeling the outcome of structural disconnection on resting-state functional connectivity , 2012, NeuroImage.

[46]  Abraham Z. Snyder,et al.  A brief history of the resting state: The Washington University perspective , 2012, NeuroImage.

[47]  A. Meyer-Lindenberg,et al.  Psychopathology and the Human Connectome: Toward a Transdiagnostic Model of Risk For Mental Illness , 2012, Neuron.

[48]  G Deco,et al.  Functional Graph Alterations in Schizophrenia: A Result from a Global Anatomic Decoupling? , 2012, Pharmacopsychiatry.

[49]  O. Sporns,et al.  The economy of brain network organization , 2012, Nature Reviews Neuroscience.

[50]  Katherine E. Prater,et al.  Functional connectivity tracks clinical deterioration in Alzheimer's disease , 2012, Neurobiology of Aging.

[51]  G. Deco,et al.  Ongoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors , 2012, The Journal of Neuroscience.

[52]  B. Biswal,et al.  Characterizing variation in the functional connectome: promise and pitfalls , 2012, Trends in Cognitive Sciences.

[53]  A. Lozano,et al.  Deep brain stimulation therapy , 2012, BMJ : British Medical Journal.

[54]  Bryon A. Mueller,et al.  Altered resting state complexity in schizophrenia , 2012, NeuroImage.

[55]  Abraham Z. Snyder,et al.  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.

[56]  Mark E. Schmidt,et al.  The Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception , 2012, Alzheimer's & Dementia.

[57]  Karl J. Friston,et al.  Computational psychiatry , 2012, Trends in Cognitive Sciences.

[58]  M. Milham.  Open Neuroscience Solutions for the Connectome-wide Association Era , 2012, Neuron.

[59]  D. Linden.  The Challenges and Promise of Neuroimaging in Psychiatry , 2012, Neuron.

[60]  Gustavo Deco,et al.  Role of local network oscillations in resting-state functional connectivity , 2011, NeuroImage.

[61]  Karl J. Friston,et al.  Post hoc Bayesian model selection , 2011, NeuroImage.

[62]  Morten L. Kringelbach,et al.  Balancing the Brain: Resting State Networks and Deep Brain Stimulation , 2011, Front. Integr. Neurosci..

[63]  M. Corbetta,et al.  The Dynamical Balance of the Brain at Rest , 2011, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[64]  M. Frank,et al.  From reinforcement learning models to psychiatric and neurological disorders , 2011, Nature Neuroscience.

[65]  H. Mayberg,et al.  Stuck in a rut: rethinking depression and its treatment , 2011, Trends in Neurosciences.

[66]  D. Zald,et al.  Reconsidering anhedonia in depression: Lessons from translational neuroscience , 2011, Neuroscience & Biobehavioral Reviews.

[67]  F. Esposito,et al.  Distributed changes in default-mode resting-state connectivity in multiple sclerosis , 2011, Multiple sclerosis.

[68]  E. Bullmore,et al.  Disrupted Axonal Fiber Connectivity in Schizophrenia , 2011, Biological Psychiatry.

[69]  Olaf Sporns,et al.  MR connectomics: Principles and challenges , 2010, Journal of Neuroscience Methods.

[70]  R. Kahn,et al.  Aberrant Frontal and Temporal Complex Network Structure in Schizophrenia: A Graph Theoretical Analysis , 2010, The Journal of Neuroscience.

[71]  Scott T. Grafton,et al.  Dynamic reconfiguration of human brain networks during learning , 2010, Proceedings of the National Academy of Sciences.

[72]  Mara Cercignani,et al.  Twenty‐five pitfalls in the analysis of diffusion MRI data , 2010, NMR in biomedicine.

[73]  M. Petrides,et al.  Broca’s region: linking human brain functional connectivity data and non‐human primate tracing anatomy studies , 2010, The European journal of neuroscience.

[74]  Edward T. Bullmore,et al.  Frontiers in Systems Neuroscience Systems Neuroscience , 2022 .

[75]  E. Bullmore,et al.  Functional Connectivity and Brain Networks in Schizophrenia , 2010, The Journal of Neuroscience.

[76]  S. Rombouts,et al.  Frontiers in Systems Neuroscience Systems Neuroscience , 2022 .

[77]  Philip J. Hahn,et al.  Network perspectives on the mechanisms of deep brain stimulation , 2010, Neurobiology of Disease.

[78]  N. Volkow,et al.  Functional connectivity density mapping , 2010, Proceedings of the National Academy of Sciences.

[79]  M. Fox,et al.  Clinical Applications of Resting State Functional Connectivity , 2010, Front. Syst. Neurosci..

[80]  Christian Windischberger,et al.  Toward discovery science of human brain function , 2010, Proceedings of the National Academy of Sciences.

[81]  Catie Chang,et al.  Time–frequency dynamics of resting-state brain connectivity measured with fMRI , 2010, NeuroImage.

[82]  Christopher S. Monk,et al.  Alterations of resting state functional connectivity in the default network in adolescents with autism spectrum disorders , 2010, Brain Research.

[83]  K. Amunts,et al.  Centenary of Brodmann's Map — Conception and Fate , 2022 .

[84]  R Cameron Craddock,et al.  Disease state prediction from resting state functional connectivity , 2009, Magnetic resonance in medicine.

[85]  Justin L. Vincent,et al.  Precuneus shares intrinsic functional architecture in humans and monkeys , 2009, Proceedings of the National Academy of Sciences.

[86]  K. Berridge,et al.  Towards a functional neuroanatomy of pleasure and happiness , 2009, Trends in Cognitive Sciences.

[87]  D. Zald,et al.  Worth the ‘EEfRT’? The Effort Expenditure for Rewards Task as an Objective Measure of Motivation and Anhedonia , 2009, PloS one.

[88]  Heidi Johansen-Berg,et al.  Using diffusion imaging to study human connectional anatomy. , 2009, Annual review of neuroscience.

[89]  O. Sporns,et al.  Key role of coupling, delay, and noise in resting brain fluctuations , 2009, Proceedings of the National Academy of Sciences.

[90]  Olaf Sporns,et al.  Modeling the Impact of Lesions in the Human Brain , 2009, PLoS Comput. Biol..

[91]  O. Sporns,et al.  Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[92]  O Sporns,et al.  Predicting human resting-state functional connectivity from structural connectivity , 2009, Proceedings of the National Academy of Sciences.

[93]  Frederik Barkhof,et al.  Model‐free group analysis shows altered BOLD FMRI networks in dementia , 2009, Human brain mapping.

[94]  Viktor K. Jirsa,et al.  Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire , 2008, PLoS Comput. Biol..

[95]  Z. Khachaturian.  Alzheimer's & Dementia: The Journal of the Alzheimer's Association , 2008, Alzheimer's & Dementia.

[96]  M. Greicius.  Resting-state functional connectivity in neuropsychiatric disorders , 2008, Current opinion in neurology.

[97]  O. Sporns,et al.  Dynamical consequences of lesions in cortical networks , 2008, Human brain mapping.

[98]  Daniel L. Rubin,et al.  Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease , 2008, PLoS Comput. Biol..

[99]  Yong He,et al.  Disrupted small-world networks in schizophrenia. , 2008, Brain : a journal of neurology.

[100]  Viktor K. Jirsa,et al.  A Low Dimensional Description of Globally Coupled Heterogeneous Neural Networks of Excitatory and Inhibitory Neurons , 2008, PLoS Comput. Biol..

[101]  O. Sporns,et al.  Identification and Classification of Hubs in Brain Networks , 2007, PloS one.

[102]  G. Glover,et al.  Resting-State Functional Connectivity in Major Depression: Abnormally Increased Contributions from Subgenual Cingulate Cortex and Thalamus , 2007, Biological Psychiatry.

[103]  M. Fox,et al.  Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.

[104]  M. Kringelbach,et al.  Translational principles of deep brain stimulation , 2007, Nature Reviews Neuroscience.

[105]  Olaf Sporns,et al.  Network structure of cerebral cortex shapes functional connectivity on multiple time scales , 2007, Proceedings of the National Academy of Sciences.

[106]  Mark R. Trusheim,et al.  Stratified medicine: strategic and economic implications of combining drugs and clinical biomarkers , 2007, Nature Reviews Drug Discovery.

[107]  Loretta S. Malta,et al.  A meta-analysis of structural brain abnormalities in PTSD , 2006, Neuroscience & Biobehavioral Reviews.

[108]  S. Rombouts,et al.  Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.

[109]  J. Heckman.  Skill Formation and the Economics of Investing in Disadvantaged Children , 2006, Science.

[110]  Daniel P. Kennedy,et al.  Failing to deactivate: resting functional abnormalities in autism. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[111]  Karl J. Friston,et al.  Synaptic Plasticity and Dysconnection in Schizophrenia , 2006, Biological Psychiatry.

[112]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[113]  K. Berridge,et al.  Hedonic Hot Spot in Nucleus Accumbens Shell: Where Do μ-Opioids Cause Increased Hedonic Impact of Sweetness? , 2005, The Journal of Neuroscience.

[114]  Olaf Sporns,et al.  The Human Connectome: A Structural Description of the Human Brain , 2005, PLoS Comput. Biol..

[115]  M. Kringelbach.  The human orbitofrontal cortex: linking reward to hedonic experience , 2005, Nature Reviews Neuroscience.

[116]  Olga V. Demler,et al.  Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. , 2005, Archives of general psychiatry.

[117]  M. Greicius,et al.  Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.

[118]  George Loewenstein,et al.  Social Projection of Transient Drive States , 2003, Personality & social psychology bulletin.

[119]  Karl J. Friston,et al.  Dynamic causal modelling , 2003, NeuroImage.

[120]  Xiao-Jing Wang,et al.  What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitation-inhibition balance. , 2003, Journal of neurophysiology.

[121]  Vinod Menon,et al.  Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[122]  C. Beaulieu,et al.  The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.

[123]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[124]  J. Morris,et al.  Functional Brain Imaging of Young, Nondemented, and Demented Older Adults , 2000, Journal of Cognitive Neuroscience.

[125]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[126]  J. Barendregt,et al.  Global burden of disease , 1997, The Lancet.

[127]  Society of magnetic resonance in medicine , 1990 .

[128]  E. Bleuler.  [Dementia praecox or the group of schizophrenias]. , 1968, Vertex.

[129]  R. Deriche,et al.  From Diffusion MRI to Brain Connectomics , 2013 .

[130]  W. Cullen,et al.  Research confuses me: what is the difference between case-control and cohort studies in quantitative research? , 2013, Irish medical journal.

[131]  G. Deco,et al.  Emerging concepts for the dynamical organization of resting-state activity in the brain , 2010, Nature Reviews Neuroscience.

[132]  G. Sandini,et al.  Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease. , 2009, Brain : a journal of neurology.

[133]  Viktor K. Jirsa,et al.  Neuronal Dynamics and Brain Connectivity , 2007 .

[134]  C. Honey,et al.  Identification and Classification of Hubs in Brain , 2007 .

[135]  P. Hagmann.  From diffusion MRI to brain connectomics , 2005 .

[136]  Emil Kraepelin,et al.  Dementia praecox and paraphrenia , 2002 .

[137]  P. Basser,et al.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. , 1996, Journal of magnetic resonance. Series B.

[138]  Karl J. Friston,et al.  Schizophrenia: a disconnection syndrome? , 1995, Clinical neuroscience.

[139]  HighWire Press.  The journal of neuroscience : the official journal of the Society for Neuroscience. , 1981 .

[140]  H. Haken.  Cooperative phenomena in systems far from thermal equilibrium and in nonphysical systems , 1975 .

[141]  C. Wernicke.  Der aphasische Symptomencomplex: Eine psychologische Studie auf anatomischer Basis , 1874 .