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Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts.
https://repo.qst.go.jp/records/84727
https://repo.qst.go.jp/records/847273fbbe4e5-bbcc-480e-8a32-19b9b62c138a
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2021-10-04 | |||||
タイトル | ||||||
タイトル | Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts. | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Yamashita, Ayumu
× Yamashita, Ayumu× Sakai, Yuki× Yamada, Takashi× Yahata, Noriaki× Kunimatsu, Akira× Okada, Naohiro× Itahashi, Takashi× Hashimoto, Ryuichiro× Mizuta, Hiroto× Ichikawa, Naho× Takamura, Masahiro× Okada, Go× Yamagata, Hirotaka× Harada, Kenichiro× Matsuo, Koji× C Tanaka, Saori× Kawato, Mitsuo× Kasai, Kiyoto× Kato, Nobumasa× Takahashi, Hidehiko× Okamoto, Yasumasa× Yamashita, Okito× Imamizu, Hiroshi× Noriaki, Yahata |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Large-scale neuroimaging data acquired and shared by multiple institutions are essential to advance neuroscientific understanding of pathophysiological mechanisms in psychiatric disorders, such as major depressive disorder (MDD). About 75% of studies that have applied machine learning technique to neuroimaging have been based on diagnoses by clinicians. However, an increasing number of studies have highlighted the difficulty in finding a clear association between existing clinical diagnostic categories and neurobiological abnormalities. Here, using resting-state functional magnetic resonance imaging, we determined and validated resting-state functional connectivity related to depression symptoms that were thought to be directly related to neurobiological abnormalities. We then compared the resting-state functional connectivity related to depression symptoms with that related to depression diagnosis that we recently identified. In particular, for the discovery dataset with 477 participants from 4 imaging sites, we removed site differences using our recently developed harmonization method and developed a brain network prediction model of depression symptoms (Beck Depression Inventory-II [BDI] score). The prediction model significantly predicted BDI score for an independent validation dataset with 439 participants from 4 different imaging sites. Finally, we found 3 common functional connections between those related to depression symptoms and those related to MDD diagnosis. These findings contribute to a deeper understanding of the neural circuitry of depressive symptoms in MDD, a hetero-symptomatic population, revealing the neural basis of MDD. | |||||
書誌情報 |
Frontiers in psychiatry 巻 12, p. 667881, 発行日 2021-06 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1664-0640 | |||||
PubMed番号 | ||||||
識別子タイプ | PMID | |||||
関連識別子 | 34177657 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.3389/fpsyt.2021.667881 | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://www.frontiersin.org/articles/10.3389/fpsyt.2021.667881 |