TY - JOUR
T1 - Functional System and Areal Organization of a Highly Sampled Individual Human Brain
AU - Laumann, Timothy O.
AU - Gordon, Evan M.
AU - Adeyemo, Babatunde
AU - Snyder, Abraham Z.
AU - Joo, Sung Jun
AU - Chen, Mei Yen
AU - Gilmore, Adrian W.
AU - McDermott, Kathleen B.
AU - Nelson, Steven M.
AU - Dosenbach, Nico U.F.
AU - Schlaggar, Bradley L.
AU - Mumford, Jeanette A.
AU - Poldrack, Russell A.
AU - Petersen, Steven E.
N1 - 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.
PY - 2015/8/5
Y1 - 2015/8/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84938738793&partnerID=8YFLogxK
U2 - 10.1016/j.neuron.2015.06.037
DO - 10.1016/j.neuron.2015.06.037
M3 - Article
C2 - 26212711
AN - SCOPUS:84938738793
VL - 87
SP - 657
EP - 670
JO - Neuron
JF - Neuron
SN - 0896-6273
IS - 3
ER -