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

Satoshi Hirose, Takamitsu Watanabe, Koji Jimura, Masaki Katsura, Akira Kunimatsu, Osamu Abe, Kuni Ohtomo, Yasushi Miyashita, Seiki Konishi

Research output: Contribution to journalArticle

14 Citations (Scopus)

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 the information for areal boundaries is readily available inside the region of interest.

Original languageEnglish
Article numbere36496
JournalPloS one
Volume7
Issue number5
DOIs
Publication statusPublished - 2012 May 4
Externally publishedYes

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

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    Hirose, S., Watanabe, T., Jimura, K., Katsura, M., Kunimatsu, A., Abe, O., Ohtomo, K., Miyashita, Y., & Konishi, S. (2012). Local signal time-series during rest used for areal boundary mapping in individual human brains. PloS one, 7(5), [e36496]. https://doi.org/10.1371/journal.pone.0036496