Theodore D. Satterthwaite

发表

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

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

Identifying patterns in temporal variation of functional connectivity using resting state FMRI

Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

A Graph-Based Brain Parcellation Method Extracting Sparse Networks

Christos Davatzikos, Theodore D. Satterthwaite, Harini Eavani, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

Christos Davatzikos, Sterling C. Johnson, Ilya M. Nasrallah, 2019, NeuroImage.

Unsupervised Learning of Functional Network Dynamics in Resting State fMRI

Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, 2013, IPMI.

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

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

Faster family‐wise error control for neuroimaging with a parametric bootstrap

Russell T. Shinohara, David R. Roalf, Kosha Ruparel, 2017, Biostatistics.

Identifying Sparse Connectivity Patterns in the brain using resting-state fMRI

Roman Filipovych, Christos Davatzikos, Ruben C. Gur, 2015, NeuroImage.

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

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

Being right is its own reward: Load and performance related ventral striatum activation to correct responses during a working memory task in youth

Mark A. Elliott, Kosha Ruparel, Ruben C. Gur, 2012, NeuroImage.

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

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

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Lei Wang, Jessica A. Turner, Lars T. Westlye, 2018 .

System-level matching of structural and functional connectomes in the human brain

Ragini Verma, Mark A. Elliott, Drew Parker, 2019, NeuroImage.

Data-driven Assessment of Structural Image Quality

Christos Davatzikos, Russell T. Shinohara, Mark A. Elliott, 2017, 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.

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.

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.

Large-scale sparse functional networks from resting state fMRI

Yong Fan, Theodore D. Satterthwaite, Hongming Li, 2017, 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.

GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex

Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, 2015, NeuroImage.

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

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

Subject-level measurement of local cortical coupling

Russell T. Shinohara, David R. Roalf, Kosha Ruparel, 2016, NeuroImage.

The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth

Mark A. Elliott, David R. Roalf, Kosha Ruparel, 2016, NeuroImage.

Discriminative Sparse Connectivity Patterns for Classification of fMRI Data

Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, 2014, MICCAI.

MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection

Christos Davatzikos, Susan M. Resnick, Ruben C. Gur, 2016, NeuroImage.

MIMoSA: An Approach to Automatically Segment T2 Hyperintense and T1 Hypointense Lesions in Multiple Sclerosis

Russell T. Shinohara, Rohit Bakshi, Kristin A. Linn, 2018, BrainLes@MICCAI.

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.

A simple permutation-based test of intermodal correspondence

Russell T. Shinohara, Ruben C. Gur, Raquel E. Gur, 2020, bioRxiv.

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

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

Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks

Yong Fan, Theodore D. Satterthwaite, Hongming Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

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 impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort

Ragini Verma, Mark A. Elliott, David R. Roalf, 2016, NeuroImage.

QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI

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

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

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

Neuroimaging of the Philadelphia Neurodevelopmental Cohort

Christos Davatzikos, Ragini Verma, Mark A. Elliott, 2014, NeuroImage.

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.

Sparse Dictionary Learning of Resting State fMRI Networks

Roman Filipovych, Christos Davatzikos, Ruben C. Gur, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

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

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

Quantitative assessment of structural image quality

M. Dylan Tisdall, Christos Davatzikos, Russell T. Shinohara, 2018, NeuroImage.

Efficient Coding in the Economics of Human Brain Connectomics

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

Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine

Bilwaj Gaonkar, Christos Davatzikos, Russell T. Shinohara, 2016, NeuroImage.

Harmonization of multi-site diffusion tensor imaging data

Robert T. Schultz, Russell T. Shinohara, Ragini Verma, 2017 .

Brain state flexibility accompanies motor-skill acquisition

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

Harmonization of large multi-site imaging datasets: Application to 10,232 MRIs for the analysis of imaging patterns of structural brain change throughout the lifespan

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

Individual Variation in Control Network Topography Supports Executive Function in Youth

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

Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth

Mark A. Elliott, Kosha Ruparel, Ruben C. Gur, 2012, NeuroImage.

Multi‐scale network regression for brain‐phenotype associations

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

Structural drivers of diverse neural dynamics and their evolution across development

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

Discovering Synchronized Subsets of Sequences: A Large Scale Solution

Robert T. Schultz, Evangelos Sariyanidi, Theodore D. Satterthwaite, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multivariate fMRI Analysis Using Optimally-discriminative Voxel-based Analysis

Christos Davatzikos, Mark A. Elliott, Tianhao Zhang, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Dissociable but inter-related systems of cognitive control and reward during decision making: Evidence from pupillometry and event-related fMRI

Theodore D. Satterthwaite, Randy L. Buckner, Mohana Ramaratnam, 2007, NeuroImage.

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging pdf

Christos Davatzikos, John C. Morris, Sterling C. Johnson, 2020, ArXiv.

MIMoSA: A Method for Inter-Modal Segmentation Analysis

Peter A. Calabresi, Russell T. Shinohara, Kristin A. Linn, 2017, bioRxiv.

The correspondence problem: which brain maps are significantly similar?

David C. Glahn, Theodore D. Satterthwaite, Armin Raznahan, 2017, bioRxiv.

Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth

Christos Davatzikos, Simon B. Eickhoff, Ragini Verma, 2013, NeuroImage.

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data

Simon B. Eickhoff, Mark A. Elliott, Kosha Ruparel, 2013, NeuroImage.

ODVBA-C: Optimally-Discriminative Voxel-Based Analysis of Continuous Variables

Christos Davatzikos, Tianhao Zhang, Theodore D. Satterthwaite, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

FlywheelTools: Data Curation and Manipulation on the Flywheel Platform

John A. Detre, Philip A. Cook, Theodore D. Satterthwaite, 2021, Frontiers in Neuroinformatics.

Development and application of novel performance validity metrics for computerized neurocognitive batteries.

David R. Roalf, Tyler M. Moore, Theodore D. Satterthwaite, 2021, Journal of the International Neuropsychological Society : JINS.

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

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

A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosis

Russell T. Shinohara, Rohit Bakshi, Kristin A. Linn, 2018, NeuroImage: Clinical.

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

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

Statistical Pitfalls in Brain Age Analyses

Russell T. Shinohara, Thomas E. Nichols, Tyler M. Moore, 2020, bioRxiv.

Cognitive behavioral therapy increases amygdala connectivity with the cognitive control network in both MDD and PTSD☆

Russell T. Shinohara, Yvette I. Sheline, Theodore D. Satterthwaite, 2017, NeuroImage: Clinical.

Aberrant Cortical Morphometry in the 22q11.2 Deletion Syndrome

David R. Roalf, Kosha Ruparel, Ruben C. Gur, 2015, Biological Psychiatry.

Linked dimensions of psychopathology and connectivity in functional brain networks

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

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

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

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.

Beyond stereotypes of adolescent risk taking: Placing the adolescent brain in developmental context

Theodore D. Satterthwaite, Valerie F. Reyna, Daniel Romer, 2017, Developmental Cognitive Neuroscience.

Sex differences in the developing brain: insights from multimodal neuroimaging

Theodore D. Satterthwaite, Armin Raznahan, A. Raznahan, 2018, Neuropsychopharmacology.

Heritability of Subcortical and Limbic Brain Volume and Shape in Multiplex-Multigenerational Families with Schizophrenia

Mark A. Elliott, David R. Roalf, Kosha Ruparel, 2015, Biological Psychiatry.

Striatal intrinsic reinforcement signals during recognition memory: relationship to response bias and dysregulation in schizophrenia

Mark A. Elliott, Ruben C. Gur, Raquel E. Gur, 2011, Front. Behav. Neurosci..

A positive mood, a flexible brain

Danielle S. Bassett, Theodore D. Satterthwaite, Richard F. Betzel, 2016 .

Default mode network segregation and social de fi cits in autism spectrum disorder : Evidence from non-medicated children DMN in children with ASD

Chandan J. Vaidya, Evan M. Gordon, Theodore D. Satterthwaite, 2015 .

Individual Variation in Functional Topography of Association Networks in Youth

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

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.

Evolution of brain network dynamics in neurodevelopment

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

Default mode network segregation and social deficits in autism spectrum disorder: Evidence from non-medicated children

Chandan J. Vaidya, Evan M. Gordon, Theodore D. Satterthwaite, 2015, NeuroImage: Clinical.

Classification of multi-site MR images in the presence of heterogeneity using multi-task learning☆

Christos Davatzikos, Dewen Hu, Yong Fan, 2018, NeuroImage: Clinical.

Towards an Individualized Delineation of Functional Neuroanatomy

Christos Davatzikos, Theodore D. Satterthwaite, C. Davatzikos, 2015, Neuron.

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

Danielle S. Bassett, Graham L. Baum, David R. Roalf, 2019 .

Elevated Amygdala Perfusion Mediates Developmental Sex Differences in Trait Anxiety

Russell T. Shinohara, John A. Detre, Mark A. Elliott, 2016, Biological Psychiatry.

Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods

Christos Davatzikos, Mohamad Habes, Susan M. Resnick, 2018, Neurobiology of Aging.

Neurostructural Heterogeneity in Youth With Internalizing Symptoms

Christos Davatzikos, Russell T. Shinohara, Yong Fan, 2019, Biological Psychiatry.

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

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

Common and Dissociable Regional Cerebral Blood Flow Differences Associate with Dimensions of Psychopathology Across Categorical Diagnoses

Russell T. Shinohara, John A. Detre, Mark A. Elliott, 2017, Molecular Psychiatry.

Approaches to Defining Common and Dissociable Neurobiological Deficits Associated With Psychopathology in Youth

Russell T. Shinohara, Tyler M. Moore, Theodore D. Satterthwaite, 2019, Biological Psychiatry.

Normative brain size variation and brain shape diversity in humans

M. Mallar Chakravarty, Russell T. Shinohara, Ruben C. Gur, 2018, Science.

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

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