Evidence map›Paper›PMID 21927601›Full record

ArticleFrontiers in human neuroscience2011

EEG-derived estimators of present and future cognitive performance.

Maja Stikic, Robin R Johnson, Daniel J Levendowski, Djordje P Popovic, Richard E Olmstead, Chris Berka

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
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  5. Article
  6. EEG event related potentials in sustained, focused and divided attention tasks: Potential biomarkers for cognitive impairment in HIV patients.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Article
  7. Article
  8. Alertness-based subject-dependent and subject-independent filter optimization for improving classification efficiency of SSVEP detection.Technology and health care : official journal of the European Society for Engineering and Medicine · 2020
    Article
  9. Article
  10. Article
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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

6 authors.

Maja StikicAdvanced Brain Monitoring Inc. Carlsbad, CA, USA.
Robin R Johnson
Daniel J Levendowski
Djordje P Popovic
Richard E Olmstead
Chris Berka

Funding

Microscale organization and sensory coding in L2_3 of mouse somatosensory cortexR37NS092367 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI FELDMAN, DANIEL · 2015 to 2021
$2.8M
The Neurocognitive Profile: A High Efficiency Integrated Brain-Behavior AssayR43MH078436 · NIMH · ADVANCED BRAIN MONITORING, INC. · PI BERKA, CHRIS · 2007 to 2008
$400k
NIMH NIH HHS R43 MH078436NINDS NIH HHS R37 NS092367
6 · The paper itself

Abstract

Previous electroencephalography (EEG)-based fatigue-related research primarily focused on the association between concurrent cognitive performance and time-locked physiology. The goal of this study was to investigate the capability of EEG to assess the impact of fatigue on both present and future cognitive performance during a 20-min sustained attention task, the 3-choice active vigilance task (3CVT), that requires subjects to discriminate one primary target from two secondary non-target geometric shapes. The current study demonstrated the ability of EEG to estimate not only present, but also future cognitive performance, utilizing a single, combined reaction time (RT), and accuracy performance metric. The correlations between observed and estimated performance, for both present and future performance, were strong (up to 0.89 and 0.79, respectively). The models were able to consistently estimate "unacceptable" performance throughout the entire 3CVT, i.e., excessively missed responses and/or slow RTs, while acceptable performance was recognized less accurately later in the task. The developed models were trained on a relatively large dataset (n = 50 subjects) to increase stability. Cross-validation results suggested the models were not over-fitted. This study indicates that EEG can be used to predict gross-performance degradations 5-15 min in advance.

Indexed as

cognitive performance estimatorscombined performance metricelectroencephalographyfatiguesustained attention tasks

Identifiers

PMID21927601
PMCPMC3153861

What OpenQuestion holds

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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.