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Sci Rep. 2017 Jan 23;7:41414. doi: 10.1038/srep41414.

Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing.

Jang C1,2, Knight EQ3, Pae C1,2, Park B4, Yoon SA2,5, Park HJ1,2,5.

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BK21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
Department of Nuclear Medicine, Department of Radiology, Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Department of Psychiatry, Harvard Medical School, McLean Hospital, 115 Mill Street Belmont, MA 02478, USA.
Department of Statistics, Hankuk University of Foreign Studies, Yong-In, Republic of Korea.
Department of Cognitive Science, Yonsei University, Seoul, Republic of Korea.


Individuality, the uniqueness that distinguishes one person from another, may manifest as diverse rearrangements of functional connectivity during heterogeneous cognitive demands; yet, the neurobiological substrates of individuality, reflected in inter-individual variations of large-scale functional connectivity, have not been fully evidenced. Accordingly, we explored inter-individual variations of functional connectivity dynamics, subnetwork patterns and modular architecture while subjects watched identical video clips designed to induce different arousal levels. How inter-individual variations are manifested in the functional brain networks was examined with respect to four contrasting divisions: edges within the anterior versus posterior part of the brain, edges with versus without corresponding anatomically-defined structural pathways, inter- versus intra-module connections, and rich club edge types. Inter-subject variation in dynamic functional connectivity occurred to a greater degree within edges localized to anterior rather than posterior brain regions, without adhering to structural connectivity, between modules as opposed to within modules, and in weak-tie local edges rather than strong-tie rich-club edges. Arousal level significantly modulates inter-subject variability in functional connectivity, edge patterns, and modularity, and particularly enhances the synchrony of rich-club edges. These results imply that individuality resides in the dynamic reconfiguration of large-scale brain networks in response to a stream of cognitive demands.

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