BrainPrint statistics

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chevron_left Morphometric analysis Ageing prediction chevron_right
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Associated diseases

Associated diseases

BrainPrint specifications


Unique identifier OMICS_22430
Name BrainPrint
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability Stable
FreeSurfer, ShapeDNA-tria
Maintained Yes


  • ShapeDNA



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Publications for BrainPrint

BrainPrint in publications

PMCID: 5884835
PMID: 29618790
DOI: 10.1038/s41598-018-23696-6

[…] dataset of mri brain scans from three public brain databases and used a new mathematical algorithm for shape analysis of anatomical data. with this technique, they developed a software pipeline (brainprint), with which they have been able to classify nearly all subjects (99.8%) on the basis of the mri scans. in their second paper, the same authors expanded their approach and did very well […]

PMCID: 5116071
PMID: 27845344
DOI: 10.1038/ncomms13291

[…] of brain anatomy and offers state-of-the-art performance for a range of shape retrieval and segmentation applications. a collection of the descriptors of brain structures, known as the brainprint, can provide an accurate and holistic representation of brain morphology, and has been successfully applied to subject identification, sex and age prediction, brain asymmetry analysis, […]

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BrainPrint institution(s)
Computer Science and Artificial Intelligence Lab, MIT, Cambridge, MA, USA; Massachusetts General Hospital, Harvard Medical School, MA, USA; University of California, San Diego, CA, USA; VA San Diego, Center of Excellence for Stress and Mental Health, CA, USA
BrainPrint funding source(s)
Supported in part by the Humboldt foundation, the National Cancer Institute (1K25-CA181632-01), the Martinos Center for Biomedical Imaging (P41-RR014075, P41-EB015896), the National Alliance for Medical Image Computing (U54- EB005149), the Neurolmaging Analysis Center (P41-EB015902) the National Center for Research Resources (U24 RR021382), the National Institute for Biomedical Imaging and Bioengineering (5P41EB015896-15, R01EB006758), the National Institute on Aging (AG022381, 5R01AG008122-22, AG018344, AG018386), the National Center for Alternative Medicine (RC1 AT005728-01), the national Institute for Neurological Disorders and Stroke (R01 NS052585-01, 1R21NS072652-01, 1R01NS070963, R01NS083534), and was made possible by the resources provided by Shared Instrumentation Grants 1S10RR023401, 1S10RR019307, and 1S10RR023043; by The Autism & Dyslexia Project funded by the Ellison Medical Foundation, and by the NIH Blueprint for Neuroscience Research (5U01-MH093765), part of the multi-institutional Human Connectome Project.

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