Electroencephalography Alpha Traveling Waves as Early Predictors of Treatment Response in Major Depressive Episodes: Insights from Intermittent Photic Stimulation

<b>Background:</b> Early evaluation of treatment efficacy in adolescents and young adults with major depressive episodes (MDEs) remains a clinical challenge, often delaying timely therapeutic adjustments. Electroencephalography (EEG) alpha traveling waves, particularly those elicited by intermittent photic stimulation (IPS), may serve as biomarkers reflecting neural dynamics. This study aimed to investigate whether IPS-induced alpha traveling waves could predict early treatment outcomes in transitional-aged youth with MDEs. <b>Methods</b>: We recorded EEG signals from 119 patients aged 16-24 years at admission, prior to a standardized two-week treatment regimen. IPS was applied using multiple stimulus frequencies, and alpha traveling waves were analyzed in terms of directionality (forward vs. backward) and hemispheric lateralization. <b>Results</b>: Alpha traveling wave amplitudes varied across individuals, depending on stimulus frequency and hemisphere. Notably, a higher amplitude of backward alpha traveling waves at 10 Hz IPS in the left hemisphere significantly predicted positive early treatment response. In contrast, forward waves and right hemisphere responses did not show predictive value. <b>Conclusions</b>: IPS-induced backward alpha traveling waves in the left hemisphere may represent promising EEG biomarkers for early prediction of treatment efficacy in youth with MDEs. These findings offer a potential neurophysiological tool to support personalized treatment strategies and inform future clinical applications in adolescent and young adult depression.

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Publication Details

Journal
Biomedicines
Published
2025-04-20
DOI
https://doi.org/10.3390/biomedicines13041001
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Electroencephalography Alpha Traveling Waves as Early Predictors of Treatment Response in Major Depressive Episodes: Insights from Intermittent Photic Stimulation

Junjie Zheng, Minya Wu, Yongquan Gu, Guanhui Wu et al.
2 links
Biomedicines
EEG and Brain-Computer Interfaces
article

Electroencephalography Alpha Traveling Waves as Early Predictors of Treatment Response in Major Depressive Episodes: Insights from Intermittent Photic Stimulation

Junjie Zheng, Minya Wu, Yongquan Gu, Guanhui Wu, Aoling Cai, Haifeng Zhang, Li Zhang, Fei Wang, Xiaojing Guo, Bin Zeng, Jingshuai Zhou
article en

Abstract

<b>Background:</b> Early evaluation of treatment efficacy in adolescents and young adults with major depressive episodes (MDEs) remains a clinical challenge, often delaying timely therapeutic adjustments. Electroencephalography (EEG) alpha traveling waves, particularly those elicited by intermittent photic stimulation (IPS), may serve as biomarkers reflecting neural dynamics. This study aimed to investigate whether IPS-induced alpha traveling waves could predict early treatment outcomes in transitional-aged youth with MDEs. <b>Methods</b>: We recorded EEG signals from 119 patients aged 16-24 years at admission, prior to a standardized two-week treatment regimen. IPS was applied using multiple stimulus frequencies, and alpha traveling waves were analyzed in terms of directionality (forward vs. backward) and hemispheric lateralization. <b>Results</b>: Alpha traveling wave amplitudes varied across individuals, depending on stimulus frequency and hemisphere. Notably, a higher amplitude of backward alpha traveling waves at 10 Hz IPS in the left hemisphere significantly predicted positive early treatment response. In contrast, forward waves and right hemisphere responses did not show predictive value. <b>Conclusions</b>: IPS-induced backward alpha traveling waves in the left hemisphere may represent promising EEG biomarkers for early prediction of treatment efficacy in youth with MDEs. These findings offer a potential neurophysiological tool to support personalized treatment strategies and inform future clinical applications in adolescent and young adult depression.

BiomedicinesVol. 13(4)
Nanjing Brain Hospital (CN), Second Affiliated Hospital of Nanjing Medical University (CN), Nanjing Medical University (CN), Northeastern University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Jiangsu Provincial Department of Human Resources and Social Security, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 92%
EEG and Brain-Computer Interfaces
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