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Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function.

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Title: Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function.
Authors: Li X; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States., Kochunov P; Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States., Adali T; Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, United States., Silva RF; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States., Calhoun VD; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.
Source: Imaging neuroscience (Cambridge, Mass.) [Imaging Neurosci (Camb)] 2026 Jun 18; Vol. 4. Date of Electronic Publication: 2026 Jun 18 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: The MIT Press Country of Publication: United States NLM ID: 9918663686606676 Publication Model: eCollection Cited Medium: Internet ISSN: 2837-6056 (Electronic) Linking ISSN: 28376056 NLM ISO Abbreviation: Imaging Neurosci (Camb) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.<br /><searchLink fieldCode="AU" term="%22Kochunov+P%22">Kochunov P</searchLink>; Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.<br /><searchLink fieldCode="AU" term="%22Adali+T%22">Adali T</searchLink>; Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, United States.<br /><searchLink fieldCode="AU" term="%22Silva+RF%22">Silva RF</searchLink>; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.<br /><searchLink fieldCode="AU" term="%22Calhoun+VD%22">Calhoun VD</searchLink>; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.
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  Data: <searchLink fieldCode="JN" term="%229918663686606676%22">Imaging neuroscience (Cambridge, Mass.)</searchLink> [Imaging Neurosci (Camb)] 2026 Jun 18; Vol. 4. <i>Date of Electronic Publication: </i>2026 Jun 18 (<i>Print Publication: </i>2026).
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        Value: 10.1162/IMAG.a.1266
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              Text: 2026 Jun 18
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