2018年12月1日
A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity
eLife
- 巻
- 7
- 号
- 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
- ID情報
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- DOI : 10.7554/eLife.38844
- eISSN : 2050-084X
- PubMed ID : 30526859
- SCOPUS ID : 85059927913