Identification of Mild Cognitive Impairment Conversion Using Augmented Resting-State Functional Connectivity Under Multi-Modal Parcellation

Identification of Mild Cognitive Impairment Conversion Using Augmented Resting-State Functional Connectivity Under Multi-Modal Parcellation

Mild cognitive impairment (MCI) is a transitional stage between normal aging and Alzheimer’s disease (AD), with a high risk of converting to AD. We propose a classification framework with a data augment method to identify MCI converter (MCI-C) and MCI non-converter (MCI-NC). Resting-state...

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Bibliographic Details
Main Authors: Jinhua Sheng, He Huang, Qiao Zhang, Zhongjin Li, Haodi Zhu, Jialei Wang, Ziyi Ying, Jing Zeng
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Alzheimer’s disease (AD)
human connectome project (HCP)
machine learning
MCI converter
mild cognitive impairment (MCI)
Online Access:https://ieeexplore.ieee.org/document/10360119/

Internet

https://ieeexplore.ieee.org/document/10360119/

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