Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function.
- DOI
- 10.1162/imag.a.1266
- Published
- 2026
- Container
- Imaging neuroscience (Cambridge, Mass.)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1162/imag.a.1266,
title = {Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function.},
author = {Li X and Kochunov P and Adali T and Silva RF and Calhoun VD},
year = {2026},
journal = {Imaging neuroscience (Cambridge, Mass.)},
doi = {10.1162/imag.a.1266},
url = {https://doi.org/10.1162/imag.a.1266}
}RIS
TY - JOUR TI - Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function. AU - Li X AU - Kochunov P AU - Adali T AU - Silva RF AU - Calhoun VD PY - 2026 JO - Imaging neuroscience (Cambridge, Mass.) DO - 10.1162/imag.a.1266 UR - https://doi.org/10.1162/imag.a.1266 ER -
APA
X, L., P, K., T, A., RF, S., & VD, C. (2026). Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function.. Imaging neuroscience (Cambridge, Mass.). https://doi.org/10.1162/imag.a.1266
Source records
- pubmed · retrieved 2026-09-26T03:00:38.414Z