The Brain Imaging and Neurophysiology Database (BIND)

The Brain Imaging and Neurophysiology Database (BIND) represents one of the
largest multi-institutional, multimodal neuroimaging repositories, comprising
1.8 million brain scans from 38,945 subjects linked to neurophysiological
recordings. This comprehensive dataset addresses critical limitations in
neuroimaging research by providing unprecedented scale and diversity across
pathologies and healthy controls. BIND integrates de-identified data from
three major academic medical centers -- Massachusetts General Hospital,
Brigham and Women's Hospital, and Stanford University Medical Center --
including 1,724,300 MRI scans (1.5T, 3T, and 7T), 54,154 CT scans, 5,720 PET
scans, and 655 SPECT scans, converted to standardized NIfTI format following
BIDS organization. The database spans the full age spectrum and encompasses
diverse neurological conditions alongside healthy subjects. We deployed Bio-
Medical Large Language Models to extract structured clinical metadata from
84,960 associated radiology reports, categorizing findings into standardized
pathology classifications. All imaging data are linked to previously published
EEG and polysomnography recordings from the Harvard Electroencephalography
Database and Human Sleep Project, enabling unprecedented multimodal analyses.
BIND is freely accessible for academic research through the Brain Data Science
Platform (<https://bdsp.io/>). This resource facilitates large-scale
neuroimaging studies, machine learning applications, and multimodal brain
research to accelerate discoveries in clinical neuroscience.