Evidence map›Paper›PMID 33337367›Full record

ArticleJournal of Alzheimer's disease : JAD2021

Memory-Related Frontal Brainwaves Predict Transition to Mild Cognitive Impairment in Healthy Older Individuals Five Years Before Diagnosis.

Yang Jiang, Juan Li, Frederick A Schmitt, Gregory A Jicha, Nancy B Munro, Xiaopeng Zhao, Charles D Smith, Richard J Kryscio, Erin L Abner

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yang JiangDepartment of Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY, USA.
Juan LiKey Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Science, Beijing, China.
Frederick A SchmittDepartment of Neurology, College of Medicine, University of Kentucky, Lexington, KY, USA.
Gregory A JichaDepartment of Neurology, College of Medicine, University of Kentucky, Lexington, KY, USA.
Nancy B MunroOak Ridge National Laboratory, Oak Ridge, TN, USA.
Xiaopeng ZhaoDepartment of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN, USA.
Charles D SmithDepartment of Neurology, College of Medicine, University of Kentucky, Lexington, KY, USA.
Richard J KryscioDepartment of Statistics, College of Art and Sciences, University of Kentucky, Lexington, KY, USA.
Erin L AbnerDepartment of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY, USA.

Funding

University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI GOLD, BRIAN TIMOTHY, VAN ELDIK, LINDA J · 2006 to 2020
$23.3M
Predictive Neurophysiological Biomarkers for Risk of Alzheimer’s Disease (AD) and Related Dementia (ADRD) Induced Cognitive Impairment in Sino-US CohortsR56AG060608 · NIA · UNIVERSITY OF KENTUCKY · PI JIANG, YANG · 2018 to 2018
$440k
NIA NIH HHS P30 AG028383NIA NIH HHS P30 AG072946NIA NIH HHS R56 AG060608
6 · The paper itself

Abstract

backgroundEarly prognosis of high-risk older adults for amnestic mild cognitive impairment (aMCI), using noninvasive and sensitive neuromarkers, is key for early prevention of Alzheimer's disease. We have developed individualized measures in electrophysiological brain signals during working memory that distinguish patients with aMCI from age-matched cognitively intact older individuals.

objectiveHere we test longitudinally the prognosis of the baseline neuromarkers for aMCI risk. We hypothesized that the older individuals diagnosed with incident aMCI already have aMCI-like brain signatures years before diagnosis.

methodsElectroencephalogram (EEG) and memory performance were recorded during a working memory task at baseline. The individualized baseline neuromarkers, annual cognitive status, and longitudinal changes in memory recall scores up to 10 years were analyzed.

resultsSeven of the 19 cognitively normal older adults were diagnosed with incident aMCI for a median 5.2 years later. The seven converters' frontal brainwaves were statistically identical to those patients with diagnosed aMCI (n = 14) at baseline. Importantly, the converters' baseline memory-related brainwaves (reduced mean frontal responses to memory targets) were significantly different from those who remained normal. Furthermore, differentiation pattern of left frontal memory-related responses (targets versus nontargets) was associated with an increased risk hazard of aMCI (HR = 1.47, 95% CI 1.03, 2.08).

conclusionThe memory-related neuromarkers detect MCI-like brain signatures about five years before diagnosis. The individualized frontal neuromarkers index increased MCI risk at baseline. These noninvasive neuromarkers during our Bluegrass memory task have great potential to be used repeatedly for individualized prognosis of MCI risk and progression before clinical diagnosis.

Indexed as

Brain WavesElectroencephalographyProdromal SymptomsAgedCognitionCognitive DysfunctionFemaleHumansLongitudinal StudiesMaleMemory, Short-TermNeuropsychological TestsAmnestic mild cognitive impairmentcognitive ERPdelayed match-to-sampledementia riskEEGmemory-related potentialsworking memory

Identifiers

PMID33337367
PMCPMC7902960

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Registered trials

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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.