Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review.
Journal:
Frontiers in neurology
Published Date:
May 22, 2025
Abstract
BACKGROUND: Effective connectivity (EC) refers to the directional influences or causal relationships between brain regions. In the field of artificial intelligence, machine learning has demonstrated remarkable proficiency in image recognition and the complex dataset analysis. In recent years, machine learning models leveraging EC have been increasingly used to classify neurodegenerative diseases and differentiate them from healthy controls. This review aims to comprehensively examine research employing EC-derived from techniques such as functional magnetic resonance imaging, electroencephalography, and magnetoencephalography-in conjunction with machine learning methods to classify neurodegenerative diseases.
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