Machine learning-based morphological brain analysis in schizophrenia and unaffected siblings: a multisite study of potential risk markers.
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| Title: | Machine learning-based morphological brain analysis in schizophrenia and unaffected siblings: a multisite study of potential risk markers. |
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| Authors: | Manabu I; Department of Neurology, Shimane University, Matsue, Shimane, Japan., Tanigaki K; Research Institute, Shiga Medical Center, Moriyama, Shiga, Japan., Ogawa N; Department of Neurology, Shiga University of Medical Science, Otsu, Shiga, Japan., Nitta N; Department of Neurosurgery, Shiga University of Medical Science, Otsu, Shiga, Japan., Shiino A; Molecular Neuroscience Research Center, Shiga University of Medical Science, Otsu, Shiga, Japan. |
| Source: | Frontiers in neuroscience [Front Neurosci] 2026 May 20; Vol. 20, pp. 1688282. Date of Electronic Publication: 2026 May 20 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101478481 Publication Model: eCollection Cited Medium: Print ISSN: 1662-4548 (Print) Linking ISSN: 1662453X NLM ISO Abbreviation: Front Neurosci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1662-4548 |
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| DOI: | 10.3389/fnins.2026.1688282 |
