DBIC
fMRI Scanner
Siemens MAGNETOM Prisma 3T with 32-, 64-, and 20-channel head coils, multiband & multi-echo BOLD, and the DBIC automated analysis pipeline.
Explore fMRI
A connected ecosystem of imaging, stimulation, and computing resources — open to the PBS, DBIC, and broader Dartmouth research community.
Housed in Moore Hall alongside the Department of Psychological and Brain Sciences and the Cognitive Science Program, these resources span a state-of-the-art 3 Tesla MRI scanner, petabyte-scale computing, and specialized labs for fNIRS, EEG, virtual reality, neurostimulation, and human psychophysiology. Many are available to researchers across campus.
Each resource has a dedicated page with specifications, imagery, and access details.
Siemens MAGNETOM Prisma 3T with 32-, 64-, and 20-channel head coils, multiband & multi-echo BOLD, and the DBIC automated analysis pipeline.
Explore fMRI
Wearable Kernel Flow2 time-domain fNIRS — whole-head, portable cortical imaging supporting two-person hyperscanning.
Explore fNIRS
DartFS petabyte storage, the Discovery HPC cluster, dedicated dual H200 GPUs, and shared access to open neuroimaging datasets.
Explore computing
Three electromagnetically shielded testing rooms with high-density Brain Products EEG for millisecond-scale neural recording.
Explore EEG
Immersive virtual reality for naturalistic paradigms and spatial cognition, with room-scale tracking. Shared on request.
Explore VR
MagVenture TMS with Localite neuronavigation, fMRI-compatible Starstim tDCS/tES, and temporal-interference stimulation.
Explore neurostim
Dyadic Biopac physiology, Medoc quantitative sensory testing, conditioned pain modulation, thermal imaging, and facial/movement decoding.
Explore psychophys
The Center for Open Neuroscience — DataLad, BIDS, and reproducible tools for sharing and versioning neuroimaging data at scale.
Explore CON
Sponsored by
Breaking the Neural Code at Dartmouth sponsors this site and several of the shared resources featured here — advancing an integrated, collaborative approach to understanding the brain across imaging, stimulation, and computation.