論文

査読有り 本文へのリンクあり
2018年12月1日

A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity

eLife
  • Masahiro Yamashita
  • Yujiro Yoshihara
  • Ryuichiro Hashimoto
  • Noriaki Yahata
  • Naho Ichikawa
  • Yuki Sakai
  • Takashi Yamada
  • Noriko Matsukawa
  • Go Okada
  • Saori C. Tanaka
  • Kiyoto Kasai
  • Nobumasa Kato
  • Yasumasa Okamoto
  • Ben Seymour
  • Hidehiko Takahashi
  • Mitsuo Kawato
  • Hiroshi Imamizu
  • 全て表示

7
記述言語
掲載種別
研究論文(学術雑誌)
DOI
10.7554/eLife.38844

© Yamashita et al. Working memory deficits are present in many neuropsychiatric diseases with diagnosis-related severity. However, it is unknown whether this common behavioral abnormality is a continuum explained by a neural mechanism shared across diseases or a set of discrete dysfunctions. Here, we performed predictive modeling to examine working memory ability (WMA) as a function of normative whole-brain connectivity across psychiatric diseases. We built a quantitative model for letter three-back task performance in healthy participants, using resting state functional magnetic resonance imaging (rs-fMRI). This normative model was applied to independent participants (N = 965) including four psychiatric diagnoses. Individual’s predicted WMA significantly correlated with a measured WMA in both healthy population and schizophrenia. Our predicted effect size estimates on WMA impairment were comparable to previous meta-analysis results. These results suggest a general association between brain connectivity and working memory ability applicable commonly to health and psychiatric diseases.

リンク情報
DOI
https://doi.org/10.7554/eLife.38844
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/30526859
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85059927913&origin=inward 本文へのリンクあり
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85059927913&origin=inward
ID情報
  • DOI : 10.7554/eLife.38844
  • eISSN : 2050-084X
  • PubMed ID : 30526859
  • SCOPUS ID : 85059927913

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