@article{oai:repo.qst.go.jp:00049355,
 author = {Yamashita, Masahiro and Yoshihara, Yujiro and Hashimoto, Ryuichiro and Yahata, Noriaki and Ichikawa, Naho and Sakai, Yuki and Yamada, Takashi and Matsukawa, Noriko and Okada, Go and C Tanaka, Saori and Kasai, Kiyoto and Kato, Nobumasa and Okamoto, Yasumasma and Seymour, Ben and Takahashi, Hidehiko and Kawato, Mitsuo and Imamizu, Hiroshi and Yahata, Noriaki},
 journal = {eLife},
 month = {Dec},
 note = {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 3-back task performance in healthy participants, using resting state functional magnetic resonance imaging (rs-fMRI). This normative model was applied to independent participants ( = 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.},
 title = {A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity.},
 volume = {7},
 year = {2018}
}