Precision Functional Mapping of Individual Human Brains

Evan M. Gordon, Timothy O. Laumann, Adrian W. Gilmore, Dillan J. Newbold, Deanna J. Greene, Jeffrey J. Berg, Mario Ortega, Catherine Hoyt-Drazen, Caterina Gratton, Haoxin Sun, Jacqueline M. Hampton, Rebecca S. Coalson, Annie L. Nguyen, Kathleen B. McDermott, Joshua S. Shimony, Abraham Z. Snyder, Bradley L. Schlaggar, Steven E. Petersen, Steven M. Nelson, Nico U.F. Dosenbach

Research output: Contribution to journalArticlepeer-review

693 Scopus citations

Abstract

Human functional MRI (fMRI) research primarily focuses on analyzing data averaged across groups, which limits the detail, specificity, and clinical utility of fMRI resting-state functional connectivity (RSFC) and task-activation maps. To push our understanding of functional brain organization to the level of individual humans, we assembled a novel MRI dataset containing 5 hr of RSFC data, 6 hr of task fMRI, multiple structural MRIs, and neuropsychological tests from each of ten adults. Using these data, we generated ten high-fidelity, individual-specific functional connectomes. This individual-connectome approach revealed several new types of spatial and organizational variability in brain networks, including unique network features and topologies that corresponded with structural and task-derived brain features. We are releasing this highly sampled, individual-focused dataset as a resource for neuroscientists, and we propose precision individual connectomics as a model for future work examining the organization of healthy and diseased individual human brains.

Original languageEnglish (US)
Pages (from-to)791-807.e7
JournalNeuron
Volume95
Issue number4
DOIs
StatePublished - Aug 16 2017
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by National Institutes of Health grants NS088590, TR000448 (N.U.F.D.), MH100872 (T.O.L.), MH104592 (D.J.G.), 1P30NS098577 (to the Neuroimaging Informatics and Analysis Center), and HD087011 (to the Intellectual and Developmental Disabilities Research Center at Washington University); the Jacobs Foundation grant 2016121703 (N.U.F.D.); the Child Neurology Foundation (N.U.F.D); the McDonnell Center for Systems Neuroscience (N.U.F.D., B.L.S.); the Mallinckrodt Institute of Radiology grant 14-011 (N.U.F.D.); the Hope Center for Neurological Disorders (N.U.F.D., B.L.S., S.E.P.); an American Psychological Association dissertation research award (A.W.G.); and Dart Neuroscience LLC. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the U.S. government.

Publisher Copyright:
© 2017 Elsevier Inc.

Keywords

  • brain networks
  • fMRI
  • functional connectivity
  • individual variability
  • myelin mapping

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