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

Autor: 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
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: eLife, Vol 7 (2018)
Druh dokumentu: article
ISSN: 2050-084X
DOI: 10.7554/eLife.38844
Popis: 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.
Databáze: Directory of Open Access Journals