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Identification of depression subtypes and relevant brain regions using a data-driven approach

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dc.contributor.author Tokuda, Tomoki
dc.contributor.author Yoshimoto, Junichiro
dc.contributor.author Shimizu, Yu
dc.contributor.author Okada, Go
dc.contributor.author Takamura, Masahiro
dc.contributor.author Okamoto, Yasumasa
dc.contributor.author Yamawaki, Shigeto
dc.contributor.author Doya, Kenji
dc.date.accessioned 2018-10-10T01:15:11Z
dc.date.available 2018-10-10T01:15:11Z
dc.date.issued 2018-09-20
dc.identifier.issn 2045-2322
dc.identifier.uri http://hdl.handle.net/10061/12593
dc.description.abstract It is well known that depressive disorder is heterogeneous, yet little is known about its neurophysiological subtypes. In the present study, we identified neurophysiological subtypes of depression related to specific neural substrates. We performed cluster analysis for 134 subjects (67 depressive subjects and 67 controls) using a high-dimensional dataset consisting of resting state functional connectivity measured by functional MRI, clinical questionnaire scores, and various biomarkers. Applying a newly developed, multiple co-clustering method to this dataset, we identified three subtypes of depression that are characterized by functional connectivity between the right Angular Gyrus (AG) and other brain areas in default mode networks, and Child Abuse Trauma Scale (CATS) scores. These subtypes are also related to Selective Serotonin-Reuptake Inhibitor (SSRI) treatment outcomes, which implies that we may be able to predict effectiveness of treatment based on AG-related functional connectivity and CATS. ja_JP
dc.language.iso en ja_JP
dc.publisher Springer Nature ja_JP
dc.rights @ The Author(s) 2018 ja_JP
dc.title Identification of depression subtypes and relevant brain regions using a data-driven approach ja_JP
dc.type.nii Journal Article ja_JP
dc.contributor.transcription ヨシモト, ジュンイチロウ
dc.contributor.alternative 吉本, 潤一郎
dc.identifier.fulltexturl https://doi.org/10.1038/s41598-018-32521-z ja_JP
dc.textversion publisher ja_JP
dc.identifier.abstracturl http://www.nature.com/articles/s41598-018-32521-z#Abs1 ja_JP
dc.identifier.jtitle Scientific Reports ja_JP
dc.identifier.volume 8 ja_JP
dc.identifier.issue 1 ja_JP
dc.relation.doi info:doi/10.1038/s41598-018-32521-z ja_JP
dc.identifier.artnum 14082 ja_JP
dc.identifier.NAIST-ID 73296782 ja_JP
dc.relation.pmid 30237567 ja_JP

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