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Updated: Apr 14, 2026

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精神的神経画像における生物学的異質性の解析のためのマルチモーダル表現学習

Logan Grosenick1, Conor Liston1

  • 1Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY.

Biological psychiatry
|February 28, 2026
PubMed
まとめ

高度な機械学習モデルは、複雑な脳行動パターンを捉えることで精神的神経画像法を改善しています。これらの新しい方法は、うつ病やその他の障害の信頼できるバイオマーカーを発見するのに役立ちます。

キーワード:
精神的神経画像バイオマーカーうつ病機械学習マルチモーダル学習表現学習異質性深層学習基盤モデル

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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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