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Updated: Feb 28, 2026

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脳MRIおよびうつ病関連脳生物学の予測における機械学習および深層学習の適用

Jiayue-Clara Jiang1, Camille Brianceau2, Elise Delzant2

  • 1Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia. j.jiang@uq.edu.au.

Translational psychiatry
|February 25, 2026
PubMed
まとめ

脳灰白質構造を用いた機械学習モデルは、大うつ病性障害（MDD）の予測精度が限定的である。有望ではあるが、これらの脳ベースの予測因子は、うつ病の診断における臨床的利用にはさらなる研究が必要である。

キーワード:
機械学習深層学習うつ病MRI脳構造予測モデリング神経画像大うつ病性障害

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Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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