A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging
Year: 2017
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Noninvasive and effective biomarkers for early detection of amnestic mild cognitive impairment (aMCI) before measurable changes in behavioral performance remain scarce. Cognitive event-related potentials (ERPs) measure synchronized synaptic neural activity associated with a cognitive event. Loss of synapses is a hallmark of the neuropathology of early Alzheimer's disease (AD). In the present study, we tested the hypothesis that ERP responses during working memory retrieval discriminate aMCI from cognitively normal controls (NC) matched in age and education. METHODS: Eighteen NC, 17 subjects with aMCI, and 13 subjects with AD performed a delayed match-to-sample task specially designed not only to be easy enough for impaired participants to complete but also to generate comparable performance between subjects with NC and those with aMCI. Scalp electroencephalography, memory accuracy, and reaction times were measured. RESULTS: Whereas memory performance separated the AD group from the others, the performance of NC and subjects with aMCI was similar. In contrast, left frontal cognitive ERP patterns differentiated subjects with aMCI from NC. Enhanced P3 responses at left frontal sites were associated with nonmatching relative to matching stimuli during working memory tasks in patients with aMCI and AD, but not in NC. The accuracy of discriminating aMCI from NC was 85% by using left frontal match/nonmatch effect combined with nonmatch reaction time. CONCLUSIONS: The left frontal cognitive ERP indicator holds promise as a sensitive, simple, affordable, and noninvasive biomarker for detection of early cognitive impairment.
Source: Alzheimer s Research & Therapy
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,290
Funders: Foundation for the National Institutes of Health, U.S. Department of Energy, Battelle, University of Kentucky, National Natural Science Foundation of China, Chinese Academy of Sciences, State Administration of Foreign Experts Affairs, National Institutes of Health, National Institute on Aging, National Center for Research Resources, National Center for Advancing Translational Sciences, Oak Ridge National Laboratory
Awards: G1645119126, G166562317, G1674622206, G203625172, G2075189144, G2481881534, G2584197162, G2790995170, G2988778103, G3064759636, G3167394766, 认知年老化中的补偿性重组机制:认知神经基础与干预研究, G3607501869, G384347443, 老年人一体化编码的认知神经机制探索与干预研究:一种减少与老化相关的联结记忆缺陷的新途径, G4423657506, G5217744629, G5698557502, G5726405315, G5799067433, Kentucky Center for Clinical and Translational Science, G6548787576, G675320460, G7311973614, G734282254, Kentucky Center for Clinical and Translational Science, 遗忘型轻度认知损伤与老年性痴呆内隐与外显记忆的神经环路机制- - 结合任务与静息的功能磁共振成像研究, G8445445436, G8906985441, G9000035486, G9000255711, Kentucky Center for Clinical and Translational Science
OpenAlex ID: W2568425819
