Why the study?
Can fNIRS-based resting-state functional connectivity analysis serve as an early screening model for mild cognitive impairment?
Can fNIRS-based resting-state functional connectivity analysis serve as an early screening model for mild cognitive impairment?
fNIRS-based resting-state functional connectivity analysis shows potential as a biomarker for early screening of mild cognitive impairment.
Should not yet guide MCI screening; leaves open validation of fNIRS connectivity biomarkers in prospective studies.
Our findings indicate that fNIRS-based resting-state functional connectivity analysis could support MCI diagnosis. Notably, long-range connections involving the prefrontal and occipital lobes have the potential to be efficient biomarkers.
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Zhang et al. (2022) studied this question.
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