Individual Identification Using the Functional Brain Fingerprint Detected by the Recurrent Neural Network
Author:
Affiliation:
1. Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia.
2. Department of Bioengineering, University of California, Riverside, Riverside, California.
Publisher
Mary Ann Liebert Inc
Subject
General Neuroscience
Link
http://www.liebertpub.com/doi/pdf/10.1089/brain.2017.0561
Reference25 articles.
1. Tracking Whole-Brain Connectivity Dynamics in the Resting State
2. Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome Project
3. Spatiotemporal Modeling of Brain Dynamics Using Resting-State Functional Magnetic Resonance Imaging with Gaussian Hidden Markov Model
4. Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
5. A multi-modal parcellation of human cerebral cortex
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