Key result
Multi-cognitive fNIRS identifies six symptom-related waveforms to characterize prefrontal working memory in psychiatric disorders.
Why the study?
The diversity of cognitive task paradigms using fNIRS and the lack of theoretical explanations for functional imaging atlases have hindered fNIRS application in psychiatry.
This paper proposes a theoretical framework for using fNIRS to characterize prefrontal working memory networks in psychiatric disorders.
Answers are grounded in this paper and cite their sources.
May inform fNIRS research on prefrontal networks in psychiatry; leaves open clinical validation and adoption.
The diversity of cognitive task paradigms using functional near-infrared spectroscopy (fNIRS) and the lack of theoretical explanations for these functional imaging atlases have greatly hindered the application of fNIRS in psychiatry. The fNIRS brain imaging based on multiple cognitive tasks could generally reflect the working patterns and neurovascular coupling changes in the prefrontal working memory network. By alternating the stimulation patterns of resting and task states, six typical symptom-related functional brain imaging waveforms related to psychiatric disorders are identified and three joint networks of the prefrontal working memory, namely, the attentional working memory primary coordination network, the perceptual content working memory secondary network, and the emotional-behavioral working memory executive network, are initially represented. This is the first attempt to characterize the cognitive, emotional, and behavioral regulation of the prefrontal working memory network using fNIRS, which may promote the application of fNIRS in clinical settings.
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Ren et al. (2022) conducted a review in Psychiatric disorders. fNIRS multi-cognitive tasks paradigm was evaluated. A multi-cognitive fNIRS task paradigm identifies six typical symptom-related functional brain imaging waveforms to characterize the prefrontal working memory network in psychiatric disorders.
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