Subtyping insomnia disorder with a population graph attention autoencoder: revealing two distinct biotypes

Insomnia disorder (ID) is neurobiologically heterogeneous and often eludes characterization by traditional group-level neuroimaging. Subtyping based on neuroimaging and clinical data offers a promising strategy for identifying biologically and clinically meaningful ID subgroups. To address this need...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Heng Zhang, Hanbin Deng, Yiran Zhai, Jiang Zhang, Zixi Zhao, Liang Gong
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2026-02-01
Sarja:	Frontiers in Neuroscience
Aiheet:	graph attention autoencoder gray matter volume insomnia disorder structural covariance network structural MRI
Linkit:	https://www.frontiersin.org/articles/10.3389/fnins.2026.1766155/full
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