Classification of Mild Cognitive Impairment Using Functional Near-Infrared Spectroscopy-Derived Biomarkers With Convolutional Neural Networks

CONCLUSION: These findings suggest that the fNIRS-derived spatial features with CNNs could be a promising way for early detection of MCI as a surrogate for a conventional screening tool and demonstrate the superiority of the fNIRS-derived spatial features with CNNs to the MoCA.PMID:38569587 | PMC:PMC10990628 | DOI:10.30773/pi.2023.0409

Source: Psychiatry Investigation - April 3, 2024 Category: Psychiatry Authors: Jin-Hyuck Park Source Type: research