J
Jonathan D. Power
Researcher at Cornell University
Publications - 62
Citations - 27694
Jonathan D. Power is an academic researcher from Cornell University. The author has contributed to research in topics: Resting state fMRI & Brain mapping. The author has an hindex of 36, co-authored 56 publications receiving 22586 citations. Previous affiliations of Jonathan D. Power include Cornell College & NewYork–Presbyterian Hospital.
Papers
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Journal ArticleDOI
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
Jonathan D. Power,Kelly Anne Barnes,Abraham Z. Snyder,Bradley L. Schlaggar,Steven E. Petersen +4 more
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.
Journal ArticleDOI
Functional network organization of the human brain
Jonathan D. Power,Alexander L. Cohen,Steven M. Nelson,Gagan S. Wig,Kelly Anne Barnes,Jessica A. Church,Alecia C. Vogel,Timothy O. Laumann,F.M. Miezin,Bradley L. Schlaggar,Steven E. Petersen +10 more
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.
Journal ArticleDOI
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Jonathan D. Power,Anish Mitra,Timothy O. Laumann,Abraham Z. Snyder,Bradley L. Schlaggar,Steven E. Petersen +5 more
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.
Journal ArticleDOI
Prediction of Individual Brain Maturity Using fMRI
Nico U.F. Dosenbach,Binyam Nardos,Alexander L. Cohen,Damien A. Fair,Jonathan D. Power,Jessica A. Church,Steven M. Nelson,Gagan S. Wig,Gagan S. Wig,Alecia C. Vogel,Christina N. Lessov-Schlaggar,Kelly Anne Barnes,Joseph W. Dubis,Eric Feczko,Rebecca S. Coalson,John R. Pruett,M Deanna,Steven E. Petersen,Bradley L. Schlaggar +18 more
TL;DR: Support vector machine-based multivariate pattern analysis extracts sufficient information from fcMRI data to make accurate predictions about individuals’ brain maturity across development, and prediction of individual brain maturity as a functional connectivity maturation index is allowed.
Journal ArticleDOI
Multi-task connectivity reveals flexible hubs for adaptive task control
Michael W. Cole,Jeremy R. Reynolds,Jonathan D. Power,Grega Repovs,Alan Anticevic,Alan Anticevic,Todd S. Braver +6 more
TL;DR: It was found that the FPN's brain-wide functional connectivity pattern shifted more than those of other networks across a variety of task states and that these connectivity patterns could be used to identify the current task.