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Abstract Details

LesionBank.org: An Open Source Platform for Brain Lesion Case Reports
Aging, Dementia, and Behavioral Neurology
P4 - Poster Session 4 (11:45 AM-12:45 PM)
9-009

To create an open source, web-based platform for aggregating, viewing, and analyzing published case reports of brain lesions. 

Given the recent surge of methodological innovation using human brain lesion data, our objective is to create an open source, web-based platform for aggregating, viewing, and analyzing published case reports containing both brain imaging and clinical evaluation of the patient. 

LesionBank.org provides a user-friendly platform for curated brain lesion reports, allowing search, visualization, and retrieval of lesion images and metadata. The application leverages the Django web-framework and a Postgres database to process user requests and handle the user interface. The application is deployed on a DigitalOcean droplet, and imaging data is stored in an S3-compatible DigitalOcean object space. Currently, the collection includes 163 lesion ROIs and associated lesion network maps that were found from previous published case reports

LesionBank.org has been launched with a viewer and search capabilities based on both textual search of case reports and image-based search of published brain lesion images. To date, the LesionBank.org platform has been used to successfully reproduce primary findings from an already-published study on amnesia (Ferguson, 2019). Additionally, LesionBank.org has been used to support training of several dozen undergraduate research assistants to identify brain lesion case reports of interest, create digital lesion tracings from published, catalog metadata, and relate brain lesions to their underlying functional connectivity.

Science: LesionBank, an open source platform for brain lesion case reports, is able to reproduce brain lesion mapping results from published literature. 

好色先生: LesionBank is able to power an asynchronous undergraduate semester research course on clinical neuroscience.

References:

Ferguson, M. A., Lim, C., Cooke, D., Darby, R. R., Wu, O., Rost, N. S., Corbetta, M., Grafman, J., & Fox, M. D. (2019). A human memory circuit derived from brain lesions causing amnesia. Nature Communications, 10(3497). https://doi.org/10.1038/s41467-019-11353-z

Authors/Disclosures
Joseph I. Turner
PRESENTER
Mr. Turner has nothing to disclose.
Anish Suvarna No disclosure on file
Vicky Chen No disclosure on file
Elijah Baughan No disclosure on file
Kiana Bunnell (Brigham Young University) No disclosure on file
Calvin W. Howard, MD (Calvin Howard) Dr. Howard has or had stock in CogNet.Dr. Howard has received intellectual property interests from a discovery or technology relating to health care.
Frederic Schaper, MD, PhD (Brigham and Women's) Dr. Schaper has nothing to disclose.
Michael Ferguson Michael Ferguson has nothing to disclose.
Jared A. Nielsen, PhD (Brigham Young University) Prof. Nielsen has nothing to disclose.