Improving interference control without conflict exposure: prefrontal fNIRS-decoded neurofeedback training

We proposed a closed-loop neuromodulation approach designed to modify prefrontal neural dynamics, with its core innovation lying in time-resolved individualized decoding. This method can significantly improve cognitive function such as interference control while avoiding exposure to unwanted stimuli and has potential for cognitive enhancement and the treatment of psychological disorders such as phobias and post-traumatic stress disorder.

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Publication Details

Journal
Neurophotonics
Published
2025-12-03
DOI
https://doi.org/10.1117/1.nph.12.4.045009
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

Improving interference control without conflict exposure: prefrontal fNIRS-decoded neurofeedback training

Zhi‐Hong Wen, Di Wu, Minghao Dong, Xiuchao Wang et al.
Neurophotonics
EEG and Brain-Computer Interfaces
article

Improving interference control without conflict exposure: prefrontal fNIRS-decoded neurofeedback training

Zhi‐Hong Wen, Di Wu, Minghao Dong, Xiuchao Wang, Yixuan Yuan, Wanying Xing, Lingwei Zeng
article en

Abstract

We proposed a closed-loop neuromodulation approach designed to modify prefrontal neural dynamics, with its core innovation lying in time-resolved individualized decoding. This method can significantly improve cognitive function such as interference control while avoiding exposure to unwanted stimuli and has potential for cognitive enhancement and the treatment of psychological disorders such as phobias and post-traumatic stress disorder.

NeurophotonicsVol. 12(04)
Xidian University (CN), Air Force Medical University (CN)
Openalex Percentile: Top 62%
EEG and Brain-Computer Interfaces
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