Theodore D. Satterthwaite - researchr alias

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Viewing Publication 1 - 48 from 48

2023

ALE meta-analyses of voxel-based morphometry studies: Parameter validation via large-scale simulationsLennart Frahm, Theodore D. Satterthwaite, Peter T. Fox, Robert Langner, Simon B. Eickhoff. neuroimage, 281:120383, November 2023. [doi]

Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonizationFengling Hu, Andrew A. Chen, Hannah Horng, Vishnu Bashyam, Christos Davatzikos, Aaron Alexander-Bloch, Mingyao Li, Haochang Shou, Theodore D. Satterthwaite, Meichen Yu, Russell T. Shinohara. neuroimage, 274:120125, July 2023. [doi]

Computing personalized brain functional networks from fMRI using self-supervised deep learningHongming Li, Dhivya Srinivasan, Chuanjun Zhuo, Zaixu Cui, Raquel E. Gur, Ruben C. Gur, Desmond J. Oathes, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan 0001. mia, 85:102756, April 2023. [doi]

2022

Harmonizing functional connectivity reduces scanner effects in community detectionAndrew A. Chen, Dhivya Srinivasan, Raymond Pomponio, Yong Fan 0001, Ilya M. Nasrallah, Susan M. Resnick, Lori L. Beason-Held, Christos Davatzikos, Theodore D. Satterthwaite, Dani S. Bassett, Russell T. Shinohara, Haochang Shou. neuroimage, 256:119198, 2022. [doi]

Retinal ganglion cell endowment is correlated with optic tract fiber cross section, not densityHuseyin O. Taskin, Yuchuan Qiao, Valerie J. Sydnor, Matthew Cieslak, Edda B. Haggerty, Theodore D. Satterthwaite, Jessica I. W. Morgan, Yonggang Shi, Geoffrey Karl Aguirre. neuroimage, 260:119495, 2022. [doi]

Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondenceSara Weinstein, Simon N. Vandekar, Erica B. Baller, Danni Tu, Azeez Adebimpe, Tinashe M. Tapera, Ruben C. Gur, Raquel E. Gur, John A. Detre, Armin Raznahan, Aaron Alexander-Bloch, Theodore D. Satterthwaite, Russell T. Shinohara, Jun-Young Park. neuroimage, 264:119712, 2022. [doi]

2021

2020

Discovering Synchronized Subsets of Sequences: A Large Scale SolutionEvangelos Sariyanidi, Casey J. Zampella, G. Keith Bartley, John D. Herrington, Theodore D. Satterthwaite, Robert T. Schultz, Birkan Tunç. cvpr 2020: 9490-9499 [doi]

Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientistsHao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok. neuroimage, 216:116745, 2020. [doi]

2019

2018

On testing for spatial correspondence between maps of human brain structure and functionAaron Alexander-Bloch, Haochang Shou, Siyuan Liu, Theodore D. Satterthwaite, David C. Glahn, Russell T. Shinohara, Simon N. Vandekar, Armin Raznahan. neuroimage, 178:540-551, 2018. [doi]

The impact of in-scanner head motion on structural connectivity derived from diffusion MRIGraham L. Baum, David R. Roalf, Philip A. Cook, Rastko Ciric, Adon F. G. Rosen, Cedric Xia, Mark A. Elliott, Kosha Ruparel, Ragini Verma, Birkan Tunç, Ruben C. Gur, Raquel E. Gur, Danielle S. Bassett, Theodore D. Satterthwaite. neuroimage, 173:275-286, 2018. [doi]

Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networksHongming Li, Theodore D. Satterthwaite, Yong Fan 0001. isbi 2018: 101-104 [doi]

Brain state expression and transitions are related to complex executive cognition in normative neurodevelopmentJohn D. Medaglia, Theodore D. Satterthwaite, Apoorva Kelkar, Rastko Ciric, Tyler M. Moore, Kosha Ruparel, Ruben C. Gur, Raquel E. Gur, Danielle S. Bassett. neuroimage, 166:293-306, 2018. [doi]

Brain state flexibility accompanies motor-skill acquisitionPranav G. Reddy, Marcelo Gomes Mattar, Andrew C. Murphy, Nicholas F. Wymbs, Scott T. Grafton, Theodore D. Satterthwaite, Danielle S. Bassett. neuroimage, 171:135-147, 2018. [doi]

MIMoSA: An Approach to Automatically Segment T2 Hyperintense and T1 Hypointense Lesions in Multiple SclerosisAlessandra M. Valcarcel, Kristin A. Linn, Fariha Khalid, Simon N. Vandekar, Shahamat Tauhid, Theodore D. Satterthwaite, John Muschelli, Rohit Bakshi, Russell T. Shinohara. miccai 2019: 47-56 [doi]

2017

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivityRastko Ciric, Daniel H. Wolf, Jonathan D. Power, David R. Roalf, Graham L. Baum, Kosha Ruparel, Russell T. Shinohara, Mark A. Elliott, Simon B. Eickhoff, Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, Danielle S. Bassett, Theodore D. Satterthwaite. neuroimage, 154:174-187, 2017. [doi]

Harmonization of multi-site diffusion tensor imaging dataJean-Philippe Fortin, Drew Parker, Birkan Tunç, Takanori Watanabe, Mark A. Elliott, Kosha Ruparel, David R. Roalf, Theodore D. Satterthwaite, Ruben C. Gur, Raquel E. Gur, Robert T. Schultz, Ragini Verma, Russell T. Shinohara. neuroimage, 161:149-170, 2017. [doi]

Large-scale sparse functional networks from resting state fMRIHongming Li, Theodore D. Satterthwaite, Yong Fan 0001. neuroimage, 156:1-13, 2017. [doi]

2016

MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selectionJimit Doshi, Güray Erus, Yangming Ou, Susan M. Resnick, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Susan Furth, Christos Davatzikos. neuroimage, 127:186-195, 2016. [doi]

Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machineKristin A. Linn, Bilwaj Gaonkar, Theodore D. Satterthwaite, Jimit Doshi, Christos Davatzikos, Russell T. Shinohara. neuroimage, 132:157-166, 2016. [doi]

The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohortDavid R. Roalf, Megan Quarmley, Mark A. Elliott, Theodore D. Satterthwaite, Simon N. Vandekar, Kosha Ruparel, Efstathios D. Gennatas, Monica E. Calkins, Tyler M. Moore, Ryan Hopson, Karthik Prabhakaran, Chad Jackson, Ragini Verma, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur. neuroimage, 125:903-919, 2016. [doi]

Subject-level measurement of local cortical couplingSimon N. Vandekar, Russell T. Shinohara, Armin Raznahan, Ryan Hopson, David R. Roalf, Kosha Ruparel, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite. neuroimage, 133:88-97, 2016. [doi]

2015

Identifying Sparse Connectivity Patterns in the brain using resting-state fMRIHarini Eavani, Theodore D. Satterthwaite, Roman Filipovych, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos. neuroimage, 105:286-299, 2015. [doi]

GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortexNicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos. neuroimage, 106:207-221, 2015. [doi]

2014

2013

Unsupervised Learning of Functional Network Dynamics in Resting State fMRIHarini Eavani, Theodore D. Satterthwaite, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos. ipmi 2013: 426-437 [doi]

Identifying patterns in temporal variation of functional connectivity using resting state FMRIHarini Eavani, Theodore D. Satterthwaite, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos. In ISBI. 2013: 1086-1089 [doi]

A Graph-Based Brain Parcellation Method Extracting Sparse NetworksNicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite, Christos Davatzikos. prni 2013: 157-160 [doi]

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity dataTheodore D. Satterthwaite, Mark A. Elliott, Raphael T. Gerraty, Kosha Ruparel, James Loughead, Monica E. Calkins, Simon B. Eickhoff, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur, Daniel H. Wolf. neuroimage, 64:240-256, 2013. [doi]

Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youthTheodore D. Satterthwaite, Daniel H. Wolf, Kosha Ruparel, Güray Erus, Mark A. Elliott, Simon B. Eickhoff, Efstathios D. Gennatas, Chad Jackson, Karthik Prabhakaran, Alex R. Smith, Hakon Hakonarson, Ragini Verma, Christos Davatzikos, Raquel E. Gur, Ruben C. Gur. neuroimage, 83:45-57, 2013. [doi]

ODVBA-C: Optimally-Discriminative Voxel-Based Analysis of Continuous VariablesTianhao Zhang, Theodore D. Satterthwaite, Christos Davatzikos. prni 2013: 161-164 [doi]

2012

Sparse Dictionary Learning of Resting State fMRI NetworksHarini Eavani, Roman Filipovych, Christos Davatzikos, Theodore D. Satterthwaite, Raquel E. Gur, Ruben C. Gur. prni 2012: 73-76 [doi]

Being right is its own reward: Load and performance related ventral striatum activation to correct responses during a working memory task in youthTheodore D. Satterthwaite, Kosha Ruparel, James Loughead, Mark A. Elliott, Raphael T. Gerraty, Monica E. Calkins, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur, Daniel H. Wolf. neuroimage, 61(3):723-729, 2012. [doi]

Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youthTheodore D. Satterthwaite, Daniel H. Wolf, James Loughead, Kosha Ruparel, Mark A. Elliott, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur. neuroimage, 60(1):623-632, 2012. [doi]

Multivariate fMRI Analysis Using Optimally-discriminative Voxel-based AnalysisTianhao Zhang, Theodore D. Satterthwaite, Mark A. Elliott, Ruben C. Gur, Raquel E. Gur, Christos Davatzikos. prni 2012: 33-36 [doi]

2007

Dissociable but inter-related systems of cognitive control and reward during decision making: Evidence from pupillometry and event-related fMRITheodore D. Satterthwaite, Leonard Green, Joel Myerson, Jamie Parker, Mohana Ramaratnam, Randy L. Buckner. neuroimage, 37(3):1017-1031, 2007. [doi]

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2007

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