Computer-Aided Tinnitus Detection based on Brain Network Analysis of EEG Functional Connectivity

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Mohagheghian F.; Makkiabadi B.; JALILVAND H.; Khajehpoor H.; Samadzadehaghdam N.; Eqlimi E.; DEEVBAND M.R.

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Journal: Journal of Biomedical Physics and Engineering Year:2019 | Volume:9 | Issue:6 Page(s): 687-698

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Title

Computer-Aided Tinnitus Detection based on Brain Network Analysis of EEG Functional Connectivity

Author(s)

Keywords

Tinnitus

Electroencephalography

Network Aanalysis

Functional Connectivity

Classification

Abstract

Background: Tinnitus known as a central nervous system disorder is correlated with specific oscillatory activities within auditory and non-auditory brain areas. Several studies in the past few years have revealed that in the most Tinnitus cases, the response pattern of neurons in auditory system is changed due to auditory deafferentation, which leads to variation and disruption of the brain networks. Objective: In this paper, we introduce an approach to automatically distinguish Tinnitus individuals from healthy controls based on whole-brain Functional Connectivity and network analysis. Material and Methods: The Functional Connectivity analysis was applied to the resting state electroencephalographic (EEG) data of both groups using Weighted Phase Lag Index (WPLI) for various frequency bands in 2-44 Hz frequency range. In this case-control study, the Classification was performed on graph theoretical measures using support vector machine (SVM) as a robust Classification method. Results: Experimental results showed promising Classification performance with a high accuracy, sensitivity, and speciﬁ city in all frequency bands, specifically in the beta2 frequency band. Conclusion: The current study provides substantial evidence that Tinnitus network can be successfully detected by consistent measures of the brain networks based on EEG Functional Connectivity.

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APA: Copy

Mohagheghian, F., JALILVAND, H., Khajehpoor, H., Samadzadehaghdam, N., Eqlimi, E., & DEEVBAND, M.R.. (2019). Computer-Aided Tinnitus Detection based on Brain Network Analysis of EEG Functional Connectivity. JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING, 9(6), 687-698. SID. https://sid.ir/paper/334714/en

Vancouver: Copy

Mohagheghian F., JALILVAND H., Khajehpoor H., Samadzadehaghdam N., Eqlimi E., DEEVBAND M.R.. Computer-Aided Tinnitus Detection based on Brain Network Analysis of EEG Functional Connectivity. JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING[Internet]. 2019;9(6):687-698. Available from: https://sid.ir/paper/334714/en

IEEE: Copy

F. Mohagheghian, H. JALILVAND, H. Khajehpoor, N. Samadzadehaghdam, E. Eqlimi, and M.R. DEEVBAND, “Computer-Aided Tinnitus Detection based on Brain Network Analysis of EEG Functional Connectivity,” JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING, vol. 9, no. 6, pp. 687–698, 2019, [Online]. Available: https://sid.ir/paper/334714/en

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