R
R. Todd Constable
Researcher at Yale University
Publications - 350
Citations - 30503
R. Todd Constable is an academic researcher from Yale University. The author has contributed to research in topics: Medicine & Functional magnetic resonance imaging. The author has an hindex of 89, co-authored 306 publications receiving 25266 citations. Previous affiliations of R. Todd Constable include Haskins Laboratories.
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Journal ArticleDOI
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
Emily S. Finn,Xilin Shen,Dustin Scheinost,Monica D. Rosenberg,Jessica S. Huang,Marvin M. Chun,Xenophon Papademetris,R. Todd Constable +7 more
TL;DR: In this article, the authors show that every individual has a unique pattern of functional connections between brain regions, which act as a fingerprint that can accurately identify the individual from a large group.
Journal ArticleDOI
Sex differences in the functional organization of the brain for language
Bennett A. Shaywitz,Sally E. Shaywltz,Kenneth R. Pugh,Kenneth R. Pugh,R. Todd Constable,Pawel Skudlarski,Robert K. Fulbright,Richard A. Bronen,Jack M. Fletcher,Donald Shankweiler,Leonard Katz,John C. Gore +11 more
TL;DR: The data provide clear evidence for a sex difference in the functional organization of the brain for language and indicate that these variations exist at the level of phonological processing.
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Disruption of posterior brain systems for reading in children with developmental dyslexia.
Bennett A. Shaywitz,Sally E. Shaywitz,Kenneth R. Pugh,Kenneth R. Pugh,W. Einar Mencl,W. Einar Mencl,Robert K. Fulbright,Pawel Skudlarski,R. Todd Constable,Karen E. Marchione,Jack M. Fletcher,G. Reid Lyon,John C. Gore,John C. Gore +13 more
TL;DR: Brain activation patterns in dyslexic and nonimpaired children during pseudoword and real-word reading tasks that required phonologic analysis provided neurobiological evidence of an underlying disruption in the neural systems for reading in children with dyslexia.
Journal ArticleDOI
A neuromarker of sustained attention from whole-brain functional connectivity.
Monica D. Rosenberg,Emily S. Finn,Dustin Scheinost,Xenophon Papademetris,Xilin Shen,R. Todd Constable,Marvin M. Chun +6 more
TL;DR: It is demonstrated that whole-brain functional network strength provides a broadly applicable neuromarker of sustained attention, and predicts a clinical measure of attention—symptoms of attention deficit hyperactivity disorder—from resting-state connectivity in an independent sample of children and adolescents.
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Using connectome-based predictive modeling to predict individual behavior from brain connectivity.
Xilin Shen,Emily S. Finn,Dustin Scheinost,Monica D. Rosenberg,Marvin M. Chun,Xenophon Papademetris,R. Todd Constable +6 more
TL;DR: This protocol includes the following steps: feature selection, feature summarization, model building, and assessment of prediction significance, and it has been demonstrated that the CPM protocol performs as well as or better than many of the existing approaches in brain-behavior prediction.