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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\u2019s 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.<\/jats:p>","DOI":"10.7554\/elife.38844","type":"journal-article","created":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T08:01:51Z","timestamp":1544428911000},"source":"Crossref","is-referenced-by-count":91,"title":["A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity"],"prefix":"10.7554","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1520-2548","authenticated-orcid":true,"given":"Masahiro","family":"Yamashita","sequence":"first","affiliation":[{"name":"Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yujiro","family":"Yoshihara","sequence":"additional","affiliation":[{"name":"Department of 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