Functional System and Areal Organization of a Highly Sampled Individual Human Brain

Timothy O. Laumann, Evan M. Gordon, Babatunde Adeyemo, Abraham Z. Snyder, Sung Jun Joo, Mei Yen Chen, Adrian W. Gilmore, Kathleen B. McDermott, Steven M. Nelson, Nico U.F. Dosenbach, Bradley L. Schlaggar, Jeanette A. Mumford, Russell A. Poldrack, Steven E. Petersen

Research output: Contribution to journalArticlepeer-review

577 Scopus citations


Resting state functional MRI (fMRI) has enabled description of group-level functional brain organization at multiple spatial scales. However, cross-subject averaging may obscure patterns of brain organization specific to each individual. Here, we characterized the brain organization of a single individual repeatedly measured over more than a year. We report a reproducible and internally valid subject-specific areal-level parcellation that corresponds with subject-specific task activations. Highly convergent correlation network estimates can be derived from this parcellation if sufficient data are collected-considerably more than typically acquired. Notably, within-subject correlation variability across sessions exhibited a heterogeneous distribution across the cortex concentrated in visual and somato-motor regions, distinct from the pattern of intersubject variability. Further, although the individual's systems-level organization is broadly similar to the group, it demonstrates distinct topological features. These results provide a foundation for studies of individual differences in cortical organization and function, especially for special or rare individuals.

Original languageEnglish (US)
Pages (from-to)657-670
Number of pages14
Issue number3
StatePublished - Aug 5 2015
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by MH100872 (T.O.L.), NS61144 (S.E.P.), NS46424 (S.E.P.), P30NS048056 (A.Z.S.), a McDonnell Foundation Collaborative Activity award (S.E.P.), Hope Center for Neurological Disorders Pilot Award (B.L.S.), Intellectual and Developmental Disabilities Research Center at Washington University (NIH/NICHDP30 HD062171), Mallinckrodt Institute of Radiology Pilot Grant (N.U.F.D.), Child Neurology Foundation Scientific Research Award (N.U.F.D.), WU Child Health Research Center K12-HD076224 (Alan Schwartz), McDonnell Center for Systems Neuroscience New Resource Proposal (N.U.F.D.), NS088590 (N.U.F.D.), Dart NeuroScience LLC (K.B.M.), DGE-1143954 (A.W.G.), MH091657 (Van Essen), and the Texas Emerging Technology Fund (D. Johnston, PI). We thank Alex Huk for facilitating data collection and Jonathan Power for helpful comments on the manuscript.

Publisher Copyright:
© 2015 Elsevier Inc.


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