Theodore D. Satterthwaite
University of Pennsylvania
436 Papers
687 Citations
Theodore D. Satterthwaite is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 65, co-authored 306 publications. Previous affiliations of Theodore D. Satterthwaite include Allen Institute for Brain Science & Osaka University.
Chat about Author
Papers
An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data
Theodore D. Satterthwaite,Mark A. Elliott,Raphael T. Gerraty,Kosha Ruparel,James Loughead,Monica E. Calkins,Simon B. Eickhoff,Simon B. Eickhoff,Hakon Hakonarson,Ruben C. Gur,Ruben C. Gur,Raquel E. Gur,Daniel H. Wolf +12 more
TL;DR: It is demonstrated that the effect of motion on rsfc-MRI can be substantially attenuated through improved preprocessing procedures, but not completely removed.
1.8K
Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth.
Theodore D. Satterthwaite,Daniel H. Wolf,James Loughead,Kosha Ruparel,Mark A. Elliott,Hakon Hakonarson,Ruben C. Gur,Ruben C. Gur,Raquel E. Gur,Raquel E. Gur +9 more
TL;DR: The results demonstrate the pervasive influence of motion on multiple types functional connectivity analysis, and underline the importance of accounting for motion in studies of neurodevelopment.
1.2K
Sex differences in the structural connectome of the human brain.
Madhura Ingalhalikar,Alex J. Smith,Drew Parker,Theodore D. Satterthwaite,Mark A. Elliott,Kosha Ruparel,Hakon Hakonarson,Raquel E. Gur,Ruben C. Gur,Ragini Verma +9 more
TL;DR: Overall, the results suggest that male brains are structured to facilitate connectivity between perception and coordinated action, whereas female brains are designed to facilitate communication between analytical and intuitive processing modes.
Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium
T.G.M. van Erp,Derrek P. Hibar,Jerod M. Rasmussen,David C. Glahn,Godfrey D. Pearlson,Ole A. Andreassen,Ingrid Agartz,Ingrid Agartz,Lars T. Westlye,Lars T. Westlye,Unn K. Haukvik,Anders M. Dale,Ingrid Melle,Cecilie B. Hartberg,Oliver Gruber,Bernd Kraemer,David Zilles,Gary Donohoe,Gary Donohoe,Sinead Kelly,Sinead Kelly,Colm McDonald,Derek W. Morris,Derek W. Morris,Dara M. Cannon,Aiden Corvin,Marise W. J. Machielsen,Laura Koenders,L. de Haan,Dick J. Veltman,Theodore D. Satterthwaite,Daniel H. Wolf,R.C. Gur,R.E. Gur,Steven G. Potkin,Daniel H. Mathalon,Daniel H. Mathalon,Bryon A. Mueller,Adrian Preda,Fabio Macciardi,Stefan Ehrlich,Stefan Ehrlich,Esther Walton,Johanna Hass,Vince D. Calhoun,HJ Bockholt,Scott R. Sponheim,Jody M. Shoemaker,N.E.M. van Haren,Hilleke E. Hulshoff Pol,Roel A. Ophoff,Roel A. Ophoff,René S. Kahn,Roberto Roiz-Santiañez,Benedicto Crespo-Facorro,Lei Wang,Kathryn I. Alpert,Erik G. Jönsson,Erik G. Jönsson,Rali Dimitrova,Catherine Bois,Heather C. Whalley,Andrew M. McIntosh,Stephen M. Lawrie,Ryota Hashimoto,Paul M. Thompson,Jessica A. Turner +66 more
TL;DR: Worldwide cooperative analyses of brain imaging data support a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analytic approaches, and validates that collaborative data analyses can readily be used across brain phenotypes and disorders.
1.1K
Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.
Rastko 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 +13 more
TL;DR: A systematic evaluation of 14 participant‐level confound regression methods for functional connectivity highlights the heterogeneous efficacy of existing methods, and suggests that different confounding regression strategies may be appropriate in the context of specific scientific goals.
1K