Machine Learning Based Identification of Depressive Symptoms Among Students in a Chinese University Using Functional Near-Infrared Spectroscopy

fNIRS-VFT may serve as an objective tool for evaluating depressive symptoms in university students. The findings underscore the central role of the left MPFC in the neural mechanisms underlying depression. This work developed an fNIRS-based identification system for depression in university students.

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Publication Details

Journal
ALPHA PSYCHIATRY
Published
2025-12-18
DOI
https://doi.org/10.31083/ap49235
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
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article

Machine Learning Based Identification of Depressive Symptoms Among Students in a Chinese University Using Functional Near-Infrared Spectroscopy

Ning null Wang, Luhan null Yang, Rongxun null Liu, Yange null Wei et al.
ALPHA PSYCHIATRY
Optical Imaging and Spectroscopy Techniques
article

Machine Learning Based Identification of Depressive Symptoms Among Students in a Chinese University Using Functional Near-Infrared Spectroscopy

Ning null Wang, Luhan null Yang, Rongxun null Liu, Yange null Wei, Huang null Zheng, Yong null Meng, Guangjun null Ji, Wei null Zheng, Peng null Luo, Zhengyun null Zhan, Yuanle null Chen, Xingliang null Xiong, Jinnan null Yan
article en

Abstract

fNIRS-VFT may serve as an objective tool for evaluating depressive symptoms in university students. The findings underscore the central role of the left MPFC in the neural mechanisms underlying depression. This work developed an fNIRS-based identification system for depression in university students.

ALPHA PSYCHIATRYVol. 26(6)
Guangdong University Of Finances and Economics (CN), Peking University (CN), Henan Psychiatric Hospital (CN), Nanjing Brain Hospital (CN), Guangdong University of Finance (CN), Guangdong 999 Brain Hospital (CN), Henan Medical University (CN), Guangzhou Medical University (CN)
Quality Education
Openalex Percentile: Top 30%
Optical Imaging and Spectroscopy Techniques
DOIOpen Access PDFOpenAlex
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