| Literature DB >> 26212711 |
Timothy O Laumann1, Evan M Gordon2, Babatunde Adeyemo2, Abraham Z Snyder3, Sung Jun Joo4, Mei-Yen Chen4, Adrian W Gilmore5, Kathleen B McDermott6, Steven M Nelson7, Nico U F Dosenbach2, Bradley L Schlaggar8, Jeanette A Mumford9, Russell A Poldrack10, Steven E Petersen11.
Abstract
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. VIDEO ABSTRACT.Entities:
Mesh:
Year: 2015 PMID: 26212711 PMCID: PMC4642864 DOI: 10.1016/j.neuron.2015.06.037
Source DB: PubMed Journal: Neuron ISSN: 0896-6273 Impact factor: 17.173