Multimodal predictive modeling: Scalable imaging informed approaches to predict future brain health.
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| Title: | Multimodal predictive modeling: Scalable imaging informed approaches to predict future brain health. |
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| Authors: | Ajith M; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science(TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, 55 Park Pl NE, Atlanta, 30303, GA, USA. Electronic address: majith@gsu.edu., Spence JS; Center for BrainHealth, The University of Texas at Dallas, Dallas, 75235, TX, USA., Chapman SB; Center for BrainHealth, The University of Texas at Dallas, Dallas, 75235, TX, USA., Calhoun VD; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science(TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, 55 Park Pl NE, Atlanta, 30303, GA, USA. |
| Source: | Journal of neuroscience methods [J Neurosci Methods] 2025 Feb; Vol. 414, pp. 110322. Date of Electronic Publication: 2024 Nov 26. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7905558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-678X (Electronic) Linking ISSN: 01650270 NLM ISO Abbreviation: J Neurosci Methods Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1872-678X |
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| DOI: | 10.1016/j.jneumeth.2024.110322 |
