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Refined prefrontal working memory network as a neuromarker for Alzheimer's disease
Cited 4 time in
Web of Science
Cited 4 time in Scopus
- Authors
- Issue Date
- 2021-11
- Publisher
- Optica Publishing Group
- Citation
- BIOMEDICAL OPTICS EXPRESS, Vol.12 No.11, pp.7199-7222
- Abstract
- Detecting Alzheimer's disease (AD) is an important step in preventing pathological brain damage. Working memory (WM)-related network modulation can be a pathological feature of AD, but is usually modulated by untargeted cognitive processes and individual variance, resulting in the concealment of this key information. Therefore, in this study, we comprehensively investigated a new neuromarker, named "refined network," in a prefrontal cortex (PFC) that revealed the pathological features of AD. A refined network was acquired by removing unnecessary variance from the WM-related network. By using a functional near-infrared spectroscopy (fNIRS) device, we evaluated the reliability of the refined network, which was identified from the three groups classified by AD progression: healthy people (N=31), mild cognitive impairment (N=11), and patients with AD (N=18). As a result, we identified edges with significant correlations between cognitive functions and groups in the dorsolateral PFC. Moreover, the refined network achieved a significantly correlating metric with neuropsychological test scores, and a remarkable three-class classification accuracy (95.0%). These results implicate the refined PFC WM-related network as a powerful neuromarker for AD screening. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
- ISSN
- 2156-7085
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