Evidence map›Paper›PMID 33716711›Full record

ArticleFrontiers in aging neuroscience2021

Gauging Working Memory Capacity From Differential Resting Brain Oscillations in Older Individuals With A Wearable Device.

Soheil Borhani, Xiaopeng Zhao, Margaret R Kelly, Karah E Gottschalk, Fengpei Yuan, Gregory A Jicha, Yang Jiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 18% of its field
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Soheil BorhaniDepartment of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, Knoxville, TN, United States.
Xiaopeng ZhaoDepartment of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, Knoxville, TN, United States.
Margaret R KellySanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States.
Karah E GottschalkCenter on Gerontology, School of Public Health, University of Kentucky, Lexington, KY, United States.
Fengpei YuanDepartment of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, Knoxville, TN, United States.
Gregory A JichaSanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States.
Yang JiangSanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States.
University of Kentucky · USUniversity of Tennessee at Knoxville · US

Funding

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 R56 AG060608
6 · The paper itself

Abstract

Working memory is a core cognitive function and its deficits is one of the most common cognitive impairments. Reduced working memory capacity manifests as reduced accuracy in memory recall and prolonged speed of memory retrieval in older adults. Currently, the relationship between healthy older individuals' age-related changes in resting brain oscillations and their working memory capacity is not clear. Eyes-closed resting electroencephalogram (rEEG) is gaining momentum as a potential neuromarker of mild cognitive impairments. Wearable and wireless EEG headset measuring key electrophysiological brain signals during rest and a working memory task was utilized. This research's central hypothesis is that rEEG (e.g., eyes closed for 90 s) frequency and network features are surrogate markers for working memory capacity in healthy older adults. Forty-three older adults' memory performance (accuracy and reaction times), brain oscillations during rest, and inter-channel magnitude-squared coherence during rest were analyzed. We report that individuals with a lower memory retrieval accuracy showed significantly increased alpha and beta oscillations over the right parietal site. Yet, faster working memory retrieval was significantly correlated with increased delta and theta band powers over the left parietal sites. In addition, significantly increased coherence between the left parietal site and the right frontal area is correlated with the faster speed in memory retrieval. The frontal and parietal dynamics of resting EEG is associated with the "

Indexed as

coherence analysisEEGmild cognitive impairmentresting-stateworking memory

Identifiers

PMID33716711
PMCPMC7944100
OpenAlexW3129734780

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.