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

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

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 predict...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2018-12-01
Series:eLife
Subjects:
working memory
rs-fMRI
functional connectivity
prediction model
biomarkers
Online Access:https://elifesciences.org/articles/38844

Internet

https://elifesciences.org/articles/38844

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