Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression

Jun Su Park; Donghyeok Jo; Seho Lee; Young Tak Kim; Jung Bin Kim; Dong Joo Kim

doi:10.1109/ICCE-Asia57006.2022.9954764

Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression

Jun Su Park, Donghyeok Jo, Seho Lee, Young Tak Kim, Jung Bin Kim, Dong Joo Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Biomarkers using EEG could be used to detect and analyze various mental diseases. Many researchers are working on biomarkers that are mostly based on spectral analysis, resulting in poor reproducibility so restricted to being used in a clinical environment. In this study, we proposed new biomarker, a potential biomarker for MDD using resting state EEG and EEG connectivity algorithm. To develop new biomarker, the $PRED+CT$ dataset consisting of 43 MDD patients and 73 healthy control was used. wPLI connectivity for the low alpha band was acquired from 60 EEG channels. An independent sample t-test was conducted, and only statistically significant connectivity ($p < 0.001$) was selected among the connectivity. As a result, there was the biggest difference in connectivity between CPz and left hemisphere connectivity among MDD patients and healthy control. A decrease in connectivity between the central parietal region and frontal/temporal region located in the left hemisphere of MDD patients is also confirmed. New biomarker could be utilized in a diagnosis of MDD, and we expect it to be used in a clinical environment.

Original language	English
Title of host publication	2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665464345
DOIs	https://doi.org/10.1109/ICCE-Asia57006.2022.9954764
Publication status	Published - 2022
Event	2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022 - Yeosu, Korea, Republic of Duration: 2022 Oct 26 → 2022 Oct 28

Publication series

Name	2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022

Conference

Conference	2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
Country/Territory	Korea, Republic of
City	Yeosu
Period	22/10/26 → 22/10/28

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

EEG biomarker
EEG connectivity
MDD
electroencephalography

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Media Technology
Instrumentation

Access to Document

10.1109/ICCE-Asia57006.2022.9954764

Cite this

Park, J. S., Jo, D., Lee, S., Kim, Y. T., Kim, J. B., & Kim, D. J. (2022). Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression. In 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022 (2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Asia57006.2022.9954764

Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression. / Park, Jun Su; Jo, Donghyeok; Lee, Seho et al.
2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Park, JS, Jo, D, Lee, S, Kim, YT, Kim, JB & Kim, DJ 2022, Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression. in 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022. 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022, Yeosu, Korea, Republic of, 22/10/26. https://doi.org/10.1109/ICCE-Asia57006.2022.9954764

Park JS, Jo D, Lee S, Kim YT, Kim JB, Kim DJ. Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression. In 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022). doi: 10.1109/ICCE-Asia57006.2022.9954764

Park, Jun Su ; Jo, Donghyeok ; Lee, Seho et al. / Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression. 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022).

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abstract = "Biomarkers using EEG could be used to detect and analyze various mental diseases. Many researchers are working on biomarkers that are mostly based on spectral analysis, resulting in poor reproducibility so restricted to being used in a clinical environment. In this study, we proposed new biomarker, a potential biomarker for MDD using resting state EEG and EEG connectivity algorithm. To develop new biomarker, the $PRED+CT$ dataset consisting of 43 MDD patients and 73 healthy control was used. wPLI connectivity for the low alpha band was acquired from 60 EEG channels. An independent sample t-test was conducted, and only statistically significant connectivity ($p < 0.001$) was selected among the connectivity. As a result, there was the biggest difference in connectivity between CPz and left hemisphere connectivity among MDD patients and healthy control. A decrease in connectivity between the central parietal region and frontal/temporal region located in the left hemisphere of MDD patients is also confirmed. New biomarker could be utilized in a diagnosis of MDD, and we expect it to be used in a clinical environment.",

keywords = "EEG biomarker, EEG connectivity, MDD, electroencephalography",

author = "Park, {Jun Su} and Donghyeok Jo and Seho Lee and Kim, {Young Tak} and Kim, {Jung Bin} and Kim, {Dong Joo}",

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AB - Biomarkers using EEG could be used to detect and analyze various mental diseases. Many researchers are working on biomarkers that are mostly based on spectral analysis, resulting in poor reproducibility so restricted to being used in a clinical environment. In this study, we proposed new biomarker, a potential biomarker for MDD using resting state EEG and EEG connectivity algorithm. To develop new biomarker, the $PRED+CT$ dataset consisting of 43 MDD patients and 73 healthy control was used. wPLI connectivity for the low alpha band was acquired from 60 EEG channels. An independent sample t-test was conducted, and only statistically significant connectivity ($p < 0.001$) was selected among the connectivity. As a result, there was the biggest difference in connectivity between CPz and left hemisphere connectivity among MDD patients and healthy control. A decrease in connectivity between the central parietal region and frontal/temporal region located in the left hemisphere of MDD patients is also confirmed. New biomarker could be utilized in a diagnosis of MDD, and we expect it to be used in a clinical environment.

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Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this