Machine learning-based identification of abnormal functional connectivity in obesity across different metabolic states.
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| Title: | Machine learning-based identification of abnormal functional connectivity in obesity across different metabolic states. |
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| Authors: | Yue Y; School of Computing, University of Otago, Dunedin, New Zealand. yuan.yue@otago.ac.nz., Manning P; Department of Medicine, University of Otago, Dunedin, New Zealand., De Ridder D; Department of Surgical Science, University of Otago, Dunedin, New Zealand., Hall M; Department of Surgical Science, University of Otago, Dunedin, New Zealand., Adhia DB; Department of Surgical Science, University of Otago, Dunedin, New Zealand., Ross S; Department of Medicine, University of Otago, Dunedin, New Zealand., Alencar da Costa D; School of Computing, University of Otago, Dunedin, New Zealand., Deng JD; School of Computing, University of Otago, Dunedin, New Zealand. |
| Source: | Communications medicine [Commun Med (Lond)] 2026 Mar 10; Vol. 6 (1). Date of Electronic Publication: 2026 Mar 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918250414506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-664X (Electronic) Linking ISSN: 2730664X NLM ISO Abbreviation: Commun Med (Lond) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2730-664X |
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| DOI: | 10.1038/s43856-026-01518-5 |
