ArticleBiomedical optics express2021
Refined prefrontal working memory network as a neuromarker for Alzheimer's disease.
Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Diagnostic potential of near-infrared spectroscopy in mild cognitive impairment and neurodegenerative disorders: Implications for resource-limited settings.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Pooled it
- Identification of functional near-infrared spectroscopy for older adults with mild cognitive impairment: a systematic review.Frontiers in aging neuroscience · 2025Pooled it
- Functional near-infrared spectroscopy for identifying mild cognitive impairment and Alzheimer's disease: a systematic review.Frontiers in neurology · 2025Pooled it
- Functional near-infrared spectroscopy: Systematic mapping of abnormal brain function features in neurological disorders.Neural regeneration research · 2026Article
- Effects of Baduanjin exercise on working memory in mild cognitive impairment: an fNIRS-based randomized controlled trial.Frontiers in aging neuroscience · 2026Article
- An fNIRS-based investigation of cerebral hemodynamic responses during verbal fluency task and n-back task in individuals with mild cognitive impairment.Frontiers in neurology · 2025Article
- Hotspots and trends in fNIRS disease research: A bibliometric analysis.Frontiers in neuroscience · 2023Review
- Screening for Alzheimer's disease using prefrontal resting-state functional near-infrared spectroscopy.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.