Predicting Alzheimer’s Disease Using Deep Neuro-Functional Networks with Resting-State fMRI

Predicting Alzheimer’s Disease Using Deep Neuro-Functional Networks with Resting-State fMRI

Resting-state functional connectivity has been widely used for the past few years to forecast Alzheimer’s disease (AD). However, the conventional correlation calculation does not consider different frequency band features that may hold the brain atrophies’ original functional connectivity relationsh...

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Bibliographic Details
Main Authors:	Sambath Kumar Sethuraman, Nandhini Malaiyappan, Rajakumar Ramalingam, Shakila Basheer, Mamoon Rashid, Nazir Ahmad
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Electronics
Subjects:	rs-fMRI classifications high-order neuro-dynamic functional network deep learning Alzheimer’s disease
Online Access:	https://www.mdpi.com/2079-9292/12/4/1031

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