A unified framework for personalized regions selection and functional relation modeling for early MCI identification

A unified framework for personalized regions selection and functional relation modeling for early MCI identification

Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely adopted to investigate functional abnormalities in brain diseases. Rs-fMRI data is unsupervised in nature because the psychological and neurological labels are coarse-grained, and no accurate region-wise label is provided...

Full description

Bibliographic Details
Main Authors: Jiyeon Lee, Wonjun Ko, Eunsong Kang, Heung-Il Suk
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:NeuroImage
Subjects:
Resting-state functional magnetic resonance imaging
Reinforcement learning
Graph neural network
Mild cognitive impairment
Deep learning
Personalized regions selection
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921003256

Internet

http://www.sciencedirect.com/science/article/pii/S1053811921003256

Similar Items