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 - 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.
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U2 - 10.1016/j.neuron.2015.06.037
DO - 10.1016/j.neuron.2015.06.037
M3 - Article
C2 - 26212711
AN - SCOPUS:84938738793
SN - 0896-6273
VL - 87
SP - 657
EP - 670
JO - Neuron
JF - Neuron
IS - 3
ER -