Tinnitus classification based on resting-state functional connectivity using a convolutional neural network architecture

Tinnitus classification based on resting-state functional connectivity using a convolutional neural network architecture

Objectives: Many studies have investigated aberrant functional connectivity (FC) using resting-state functional MRI (rs-fMRI) in subjective tinnitus patients. However, no studies have verified the efficacy of resting-state FC as a diagnostic imaging marker. We established a convolutional neural netw...

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Bibliographic Details
Main Authors: Qianhui Xu, Lei-Lei Zhou, Chunhua Xing, Xiaomin Xu, Yuan Feng, Han Lv, Fei Zhao, Yu-Chen Chen, Yuexin Cai
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:NeuroImage
Subjects:
Tinnitus
Resting state fMRI
Functional connectivity
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811924000612

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http://www.sciencedirect.com/science/article/pii/S1053811924000612

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