Quantitative Assessment of Resting-State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach.

Journal: Journal of Alzheimer's disease : JAD

PMID: 33579839

Abstract

BACKGROUND: Mild cognitive impairment (MCI) is considered a prodromal stage of Alzheimer's disease. Early diagnosis of MCI can allow for treatment to improve cognitive function and reduce modifiable risk factors.

Authors

Dalin Yang

School of Mechanical Engineering, Pusan National University, Guemjeong-gu, Busan, Republic of Korea.
Keum-Shik Hong

Keywords

Aged Aged, 80 and over Algorithms Brain Mapping Cognitive Dysfunction Deep Learning Discriminant Analysis Feasibility Studies Female Humans Machine Learning Male Neural Networks, Computer Neural Pathways Neuroimaging Reproducibility of Results Rest Spectroscopy, Near-Infrared Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (33579839)

Quantitative Assessment of Resting-State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach.

Abstract

Authors

Keywords

External Resources

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