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A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging

Overview of attention for article published in Alzheimer's Research & Therapy, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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1 news outlet
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Citations

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27 Dimensions

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77 Mendeley
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Title
A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging
Published in
Alzheimer's Research & Therapy, January 2017
DOI 10.1186/s13195-016-0229-3
Pubmed ID
Authors

Juan Li, Lucas S. Broster, Gregory A. Jicha, Nancy B. Munro, Frederick A. Schmitt, Erin Abner, Richard Kryscio, Charles D. Smith, Yang Jiang

Abstract

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. 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. 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. The left frontal cognitive ERP indicator holds promise as a sensitive, simple, affordable, and noninvasive biomarker for detection of early cognitive impairment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 21%
Student > Bachelor 9 12%
Researcher 9 12%
Student > Master 7 9%
Student > Doctoral Student 6 8%
Other 13 17%
Unknown 17 22%
Readers by discipline Count As %
Medicine and Dentistry 17 22%
Psychology 11 14%
Neuroscience 7 9%
Engineering 4 5%
Nursing and Health Professions 3 4%
Other 12 16%
Unknown 23 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 February 2017.
All research outputs
#2,699,743
of 22,940,083 outputs
Outputs from Alzheimer's Research & Therapy
#634
of 1,236 outputs
Outputs of similar age
#57,352
of 417,650 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#10
of 23 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 417,650 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.