Meeting Banner
Abstract #0952

Individual identification using brain functional fingerprint detected by recurrent neural network

Shiyang Chen1 and Xiaoping Hu2

1The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 2Department of Bioengineering, University of California, Riverside, Riverside, CA, United States

We introduce a deep learning approach to derive functional fingerprint of the brain that can identify individuals. By investigating the features extracted by our model, we noticed that they mostly resemble the existing resting state networks, and three networks (default mode, attention, and frontopariental control networks) contribute the most to individual discriminability.

This abstract and the presentation materials are available to members only; a login is required.

Join Here