The Multi-Frequency Decomposition Entropy Learning for Nonlinear fMRI Data Analysis

Functional magnetic resonance imaging (fMRI) have been widely adopted to explore the underlying neural mechanisms between psychiatric disorders which share common neurobiology and clinical manifestations. However, the existing studies mainly focus on linear relationships and ignore nonlinear contrib...

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Bibliographic Details

Published in:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Main Authors:	Di Han, Yuhu Shi, Lei Wang, Yueyang Li, Weiming Zeng
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Functional magnetic resonance imaging nonlinear functional connectivity multi-frequency variational mode decomposition copula entropy
Online Access:	https://ieeexplore.ieee.org/document/10793239/