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Bradley L. Schlaggar

Researcher at Kennedy Krieger Institute

Publications -  235
Citations -  50974

Bradley L. Schlaggar is an academic researcher from Kennedy Krieger Institute. The author has contributed to research in topics: Resting state fMRI & Tourette syndrome. The author has an hindex of 70, co-authored 215 publications receiving 42675 citations. Previous affiliations of Bradley L. Schlaggar include Salk Institute for Biological Studies & Goethe University Frankfurt.

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Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

TL;DR: The results suggest the need for greater care in dealing with subject motion, and the need to critically revisit previous rs-fcMRI work that may not have adequately controlled for effects of transient subject movements.
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Functional network organization of the human brain

TL;DR: In this article, the authors studied functional brain organization in healthy adults using resting state functional connectivity MRI and proposed two novel brain wide graphs, one of 264 putative functional areas, the other a modification of voxelwise networks that eliminates potentially artificial short-distance relationships.
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Toward discovery science of human brain function

Bharat B. Biswal, +54 more
TL;DR: The 1000 Functional Connectomes Project (Fcon_1000) as discussed by the authors is a large-scale collection of functional connectome data from 1,414 volunteers collected independently at 35 international centers.
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Methods to detect, characterize, and remove motion artifact in resting state fMRI

TL;DR: It is found that motion-induced signal changes are often complex and variable waveforms, often shared across nearly all brain voxels, and often persist more than 10s after motion ceases, which increase observed RSFC correlations in a distance-dependent manner.
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Distinct brain networks for adaptive and stable task control in humans

TL;DR: The interactions of these regions are characterized by applying graph theory to resting state functional connectivity MRI data, suggesting the presence of two distinct task-control networks that appear to operate on different time scales and affect downstream processing via dissociable mechanisms.