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

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.

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References
1.
Xu P, Huang R, Wang J, Van Dam N, Xie T, Dong Z . Different topological organization of human brain functional networks with eyes open versus eyes closed. Neuroimage. 2014; 90:246-55. DOI: 10.1016/j.neuroimage.2013.12.060. View

2.
Felleman D, Van Essen D . Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex. 1991; 1(1):1-47. DOI: 10.1093/cercor/1.1.1-a. View

3.
Doucet G, Naveau M, Petit L, Delcroix N, Zago L, Crivello F . Brain activity at rest: a multiscale hierarchical functional organization. J Neurophysiol. 2011; 105(6):2753-63. DOI: 10.1152/jn.00895.2010. View

4.
Buckner R, Krienen F, Castellanos A, Diaz J, Yeo B . The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol. 2011; 106(5):2322-45. PMC: 3214121. DOI: 10.1152/jn.00339.2011. View

5.
Shannon B, Dosenbach R, Su Y, Vlassenko A, Larson-Prior L, Nolan T . Morning-evening variation in human brain metabolism and memory circuits. J Neurophysiol. 2012; 109(5):1444-56. PMC: 3602835. DOI: 10.1152/jn.00651.2012. View