A generalizable foundation model for analysis of human brain MRI

Tak, Divyanshu; Garomsa, Biniam A.; Zapaishchykova, Anna; Chaunzwa, Tafadzwa L.; Pardo, Juan Carlos; Ye, Zezhong; Zielke, John; Ravipati, Yashwanth; Pai, Suraj; Vajapeyam, Sri; Mahootiha, Maryam; Parker, Mitchell I.; Pike, Luke R. G.; Smith, Ceilidh; Familiar, Ariana; Liu, Kevin X.; Prabhu, Sanjay P.; Arnaout, Omar; Bandopadhayay, Pratiti; Nabavizadeh, Ali; Mueller, Sabine; Aerts, Hugo J.W.L.; Huang, R. Stephanie; Poussaint, Tina Young; Kann, Benjamin H.

doi:10.1038/s41593-026-02202-6

articleNature NeuroscienceFeb 5, 2026HYBRID OA

A generalizable foundation model for analysis of human brain MRI

DTDivyanshu Tak BABiniam A. GaromsaAZAnna ZapaishchykovaTLTafadzwa L. Chaunzwa JCJuan Carlos Pardo

Brigham and Women's Hospital · Harvard University · +10 more institutions

PubMed

Indexed incrossrefpubmed

Abstract

Artificial intelligence applied to brain magnetic resonance imaging (MRI) holds potential to advance diagnosis, prognosis and treatment planning for neurological diseases. The field has been constrained, thus far, by limited training data and task-specific models that do not generalize well across patient populations and medical tasks. By leveraging self-supervised learning, pretraining and targeted adaptation, foundation models present a promising paradigm to overcome these limitations. Here we present Brain Imaging Adaptive Core (BrainIAC)-a foundation model designed to learn generalized representations from unlabeled brain MRI data and serve as a core basis for diverse downstream application adaptation.…

Citation impact

7

total citations

FWCI: 111.42
Percentile: 100%
References: 69

Too recent for citation history.

Authors

25

DT
Divyanshu TakCorresponding
Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Artificial Intelligence in Medicine (Canada)
BA
Biniam A. Garomsa
Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Artificial Intelligence in Medicine (Canada)
AZ
Anna Zapaishchykova
Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Artificial Intelligence in Medicine (Canada)
TL
Tafadzwa L. Chaunzwa
Brigham and Women's Hospital, Memorial Sloan Kettering Cancer Center, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Artificial Intelligence in Medicine (Canada)
JC
Juan Carlos Pardo
Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Artificial Intelligence in Medicine (Canada)

Topics & keywords

Topics

Keywords

Neuroimaging
Foundation (evidence)
Functional magnetic resonance imaging
Magnetic resonance imaging
Human brain
Core (optical fiber)
Deep learning
Brain mapping

No related works found for this paper.