Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy

Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy

Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which is considered the most common neurodegenerative disease in the elderly. Some MCI patients tend to remain stable over time and do not evolve to AD. It is essential to diagnose MCI in its early stages and...

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Bibliographic Details
Main Authors: Dalin Yang, Ruisen Huang, So-Hyeon Yoo, Myung-Jun Shin, Jin A. Yoon, Yong-Il Shin, Keum-Shik Hong
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Aging Neuroscience
Subjects:
functional near-infrared spectroscopy (fNIRS)
mild cognitive impairment (MCI)
convolutional neural network (CNN)
temporal feature
brain map
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Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2020.00141/full

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https://www.frontiersin.org/article/10.3389/fnagi.2020.00141/full

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