Face Recognition Brain Functional Connectivity in Patients With Major Depression: A Brain Source Localization Study by ERP

Objective: Patients with major depressive disorder (MDD) presents with face recognition defects. These defects negatively affect their social interactions. However, the cause of these defects is not clear. This study sought to explore whether MDD patients develop facial perceptual processing disorde...

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Autores principales:	Lei Lei, Yu Zhang, Xiaotong Song, Penghong Liu, Yujiao Wen, Aixia Zhang, Chunxia Yang, Ning Sun, Zhifen Liu, Kerang Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	major depressive disorder face recognition functional connectivity source localization ERP EEG Psychiatry RC435-571
Acceso en línea:	https://doaj.org/article/2e6cf0cf2ea044a597e99bd166b3c750
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spelling	oai:doaj.org-article:2e6cf0cf2ea044a597e99bd166b3c7502021-11-05T08:57:22ZFace Recognition Brain Functional Connectivity in Patients With Major Depression: A Brain Source Localization Study by ERP1664-064010.3389/fpsyt.2021.662502https://doaj.org/article/2e6cf0cf2ea044a597e99bd166b3c7502021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyt.2021.662502/fullhttps://doaj.org/toc/1664-0640Objective: Patients with major depressive disorder (MDD) presents with face recognition defects. These defects negatively affect their social interactions. However, the cause of these defects is not clear. This study sought to explore whether MDD patients develop facial perceptual processing disorders with characteristics of brain functional connectivity (FC).Methods: Event-related potential (ERP) was used to explore differences between 20 MDD patients and 20 healthy participants with face and non-face recognition tasks based on 64 EEG parameters. After pre-processing of EEG data and source reconstruction using the minimum-norm estimate (MNE), data were converted to AAL90 template to obtain a time series of 90 brain regions. EEG power spectra were determined using Fieldtrip incorporating a Fast Fourier transform. FC was determined for all pairs of brain signals for theta band using debiased estimate of weighted phase-lag index (wPLI) in Fieldtrip. To explore group differences in wPLI, independent t-tests were performed with p < 0.05 to indicate statistical significance. False discovery rate (FDR) correction was used to adjust p-values.Results: The findings showed that amplitude induction by face pictures was higher compared with that of non-face pictures both in MDD and healthy control (HC) groups. Face recognition amplitude in MDD group was lower compared with that in the HC group. Two time periods with significant differences were then selected for further analysis. Analysis showed that FC was stronger in the MDD group compared with that in the HC group in most brain regions in both periods. However, only one FC between two brain regions in HC group was stronger compared with that in the MDD group.Conclusion: Dysfunction in brain FC among MDD patients is a relatively complex phenomenon, exhibiting stronger and multiple connectivity with several brain regions of emotions. The findings of the current study indicate that the brain FC of MDD patients is more complex and less efficient in the initial stage of face recognition.Lei LeiLei LeiYu ZhangYu ZhangXiaotong SongXiaotong SongPenghong LiuPenghong LiuYujiao WenYujiao WenAixia ZhangAixia ZhangChunxia YangChunxia YangNing SunNing SunZhifen LiuZhifen LiuKerang ZhangKerang ZhangFrontiers Media S.A.articlemajor depressive disorderface recognitionfunctional connectivitysource localizationERPEEGPsychiatryRC435-571ENFrontiers in Psychiatry, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	major depressive disorder face recognition functional connectivity source localization ERP EEG Psychiatry RC435-571
spellingShingle	major depressive disorder face recognition functional connectivity source localization ERP EEG Psychiatry RC435-571 Lei Lei Lei Lei Yu Zhang Yu Zhang Xiaotong Song Xiaotong Song Penghong Liu Penghong Liu Yujiao Wen Yujiao Wen Aixia Zhang Aixia Zhang Chunxia Yang Chunxia Yang Ning Sun Ning Sun Zhifen Liu Zhifen Liu Kerang Zhang Kerang Zhang Face Recognition Brain Functional Connectivity in Patients With Major Depression: A Brain Source Localization Study by ERP
description	Objective: Patients with major depressive disorder (MDD) presents with face recognition defects. These defects negatively affect their social interactions. However, the cause of these defects is not clear. This study sought to explore whether MDD patients develop facial perceptual processing disorders with characteristics of brain functional connectivity (FC).Methods: Event-related potential (ERP) was used to explore differences between 20 MDD patients and 20 healthy participants with face and non-face recognition tasks based on 64 EEG parameters. After pre-processing of EEG data and source reconstruction using the minimum-norm estimate (MNE), data were converted to AAL90 template to obtain a time series of 90 brain regions. EEG power spectra were determined using Fieldtrip incorporating a Fast Fourier transform. FC was determined for all pairs of brain signals for theta band using debiased estimate of weighted phase-lag index (wPLI) in Fieldtrip. To explore group differences in wPLI, independent t-tests were performed with p < 0.05 to indicate statistical significance. False discovery rate (FDR) correction was used to adjust p-values.Results: The findings showed that amplitude induction by face pictures was higher compared with that of non-face pictures both in MDD and healthy control (HC) groups. Face recognition amplitude in MDD group was lower compared with that in the HC group. Two time periods with significant differences were then selected for further analysis. Analysis showed that FC was stronger in the MDD group compared with that in the HC group in most brain regions in both periods. However, only one FC between two brain regions in HC group was stronger compared with that in the MDD group.Conclusion: Dysfunction in brain FC among MDD patients is a relatively complex phenomenon, exhibiting stronger and multiple connectivity with several brain regions of emotions. The findings of the current study indicate that the brain FC of MDD patients is more complex and less efficient in the initial stage of face recognition.
format	article
author	Lei Lei Lei Lei Yu Zhang Yu Zhang Xiaotong Song Xiaotong Song Penghong Liu Penghong Liu Yujiao Wen Yujiao Wen Aixia Zhang Aixia Zhang Chunxia Yang Chunxia Yang Ning Sun Ning Sun Zhifen Liu Zhifen Liu Kerang Zhang Kerang Zhang
author_facet	Lei Lei Lei Lei Yu Zhang Yu Zhang Xiaotong Song Xiaotong Song Penghong Liu Penghong Liu Yujiao Wen Yujiao Wen Aixia Zhang Aixia Zhang Chunxia Yang Chunxia Yang Ning Sun Ning Sun Zhifen Liu Zhifen Liu Kerang Zhang Kerang Zhang
author_sort	Lei Lei
title	Face Recognition Brain Functional Connectivity in Patients With Major Depression: A Brain Source Localization Study by ERP
title_short	Face Recognition Brain Functional Connectivity in Patients With Major Depression: A Brain Source Localization Study by ERP
title_full	Face Recognition Brain Functional Connectivity in Patients With Major Depression: A Brain Source Localization Study by ERP
title_fullStr	Face Recognition Brain Functional Connectivity in Patients With Major Depression: A Brain Source Localization Study by ERP
title_full_unstemmed	Face Recognition Brain Functional Connectivity in Patients With Major Depression: A Brain Source Localization Study by ERP
title_sort	face recognition brain functional connectivity in patients with major depression: a brain source localization study by erp
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/2e6cf0cf2ea044a597e99bd166b3c750
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Face Recognition Brain Functional Connectivity in Patients With Major Depression: A Brain Source Localization Study by ERP

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