Progress in the Application of Deep Learning Combined with fNIRS in MCI Research

With the continuous development of functional near-infrared spectroscopy, (fNIRS) and deep learning technology, the fusion of deep learning with FNIRS is increasingly being utilized in research on MCI. This paper begins by outlining the basic principles of FNIRS and the fundamental concepts of deep learning required for fusion. It then summarizes the analysis methods and latest findings of deep learning fused with FNIRS in MCI research, and explores its future development direction.

Authors

Publication Details

Journal
International Journal of Biology and Life Sciences
Published
2025-09-23
DOI
https://doi.org/10.54097/426ysk77
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Progress in the Application of Deep Learning Combined with fNIRS in MCI Research

Litian Liu, Liyi Chi
International Journal of Biology and Life Sciences
Anomaly Detection Techniques and Applications
article

Progress in the Application of Deep Learning Combined with fNIRS in MCI Research

Litian Liu, Liyi Chi
article en

Abstract

With the continuous development of functional near-infrared spectroscopy, (fNIRS) and deep learning technology, the fusion of deep learning with FNIRS is increasingly being utilized in research on MCI. This paper begins by outlining the basic principles of FNIRS and the fundamental concepts of deep learning required for fusion. It then summarizes the analysis methods and latest findings of deep learning fused with FNIRS in MCI research, and explores its future development direction.

International Journal of Biology and Life SciencesVol. 12(1)
Openalex Percentile: Top 86%
Anomaly Detection Techniques and Applications
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Progress in the Application of Deep Learning Combined with fNIRS in MCI Research — Litian Liu, Liyi Chi · International Journal of Biology and Life Sciences (2025) | TGRS Research Map | TGRS