Local signal time-series during rest used for areal boundary mapping in individual human brains

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Abstract

It is widely thought that resting state functional connectivity likely reflects functional interaction among brain areas and that different functional areas interact with different sets of brain areas. A method for mapping areal boundaries has been formulated based on the large-scale spatial characteristics of regional interaction revealed by resting state functional connectivity. In the present study, we present a novel analysis for areal boundary mapping that requires only the signal timecourses within a region of interest, without reference to the information from outside the region. The areal boundaries were generated by the novel analysis and were compared with those generated by the previously-established standard analysis. The boundaries were robust and reproducible across the two analyses, in two regions of interest tested. These results suggest that th e information for areal boundaries is readily available inside the region of interest. © 2012 Hirose et al.

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Hirose, S., Watanabe, T., Jimura, K., Katsura, M., Kunimatsu, A., Abe, O., … Konishi, S. (2012). Local signal time-series during rest used for areal boundary mapping in individual human brains. PLoS ONE, 7(5). https://doi.org/10.1371/journal.pone.0036496

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