An interpretable deep-learning approach to detect biomarkers in anxious-depressed symptoms from prefrontal fNIRS signals during an autobiographical memory test

Zhang, Y., Xu, Y., Cheng, Y., Zhao, Y., Potenza, M. N., & Shi, H. (2025). An interpretable deep-learning approach to detect biomarkers in anxious-depressed symptoms from prefrontal fNIRS signals during an autobiographical memory test. Asian Journal of Psychiatry, 107, 104451. https://doi.org/10.1016/j.ajp.2025.104451
Authors:
Yan Zhang
Yawen Xu
Yihang Cheng
Yihong Zhao
Marc N Potenza
Hui Shi
Affiliated Authors:
Yihong Zhao
Columbia Affiliation:
Author Keywords:
anxious-depressed symptoms
autobiographical memory test
biomarkers discovery
functional near-infrared spectroscopy
interpretable deep learning
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Publication Type:
Article
Unique ID:
10.1016/j.ajp.2025.104451
PMID:
40158273
DOI:
10.1016/j.ajp.2025.104451
Journal:
Asian Journal of Psychiatry
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

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