Evidence map›Paper›PMID 21419826›Full record

ArticleBiological psychology2011

Drowsiness/alertness algorithm development and validation using synchronized EEG and cognitive performance to individualize a generalized model.

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

Abstract read
In one paragraph

Article in Biological psychology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Differences in resting state and task-based EEG measures between patients with major depressive disorder and healthy controls.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  3. Vigilant Attention During Cognitive and Language Processing in Aphasia.Journal of speech, language, and hearing research : JSLHR · 2024
    Article
  4. Review
  5. 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
  6. 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
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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  17. Article
  18. 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.

Robin R JohnsonAdvanced Brain Monitoring, Inc., University of California, Los Angeles, USA. rjohnson@b-alert.com
Djordje P Popovic
Richard E Olmstead
Maja Stikic
Daniel J Levendowski
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
Organization of neural coding and plasticity in L2/3 of mouse S1 cortexR01NS092367 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Daniel Feldman · 2023 to 2026
$1.9M
PORTABLE DROWSINESS MONITORING DEVICER44NS035387 · NINDS · ADVANCED BRAIN MONITORING, INC. · PI LEVENDOWSKI, DANIEL J · 1999 to 2000
$389k
ALERTNESS QUANTIFICATION SYSTEM USING NORMATIVE INDICESN44NS092367 · NINDS · ADVANCED BRAIN MONITORING, INC. · PI KONSTANTINOVIC, ZORAN R · 1999 to 2000
$276k
AMBULATORY BRAIN MONITORING DEVICER44NS038036 · NINDS · ADVANCED BRAIN MONITORING, INC. · PI LEVENDOWSKI, DANIEL J · 1999 to 2000
$204k
PORTABLE SELF APPLYING DROWSINESS DETECTION DEVICER43NS035387 · NINDS · ADVANCED BRAIN MONITORING, INC. · PI KONSTANTINOVIC, ZORAN R · 1997 to 1997
–
ALERTNESS QUANTIFICATION SYSTEM USING NORMATIVE INDICESN43NS072367 · NINDS · ADVANCED BRAIN MONITORING, INC. · PI KONSTANTINOVIC, ZORAN R · 1997 to 1998
–
AMBULATORY, BATTERY POWERED, PHYSIOLOGICAL RECORDINGN43NS062344 · NINDS · ADVANCED BRAIN MONITORING, INC. · PI DRAKULIC, BUDIMIR S · 1996 to 1997
–
NINDS NIH HHS N43-NS62344NINDS NIH HHS N43-NS72367NINDS NIH HHS N44-NS92367NINDS NIH HHS R01 NS092367NINDS NIH HHS R37 NS092367NINDS NIH HHS R43-NS35387NINDS NIH HHS R44 NS035387NINDS NIH HHS R44 NS038036
6 · The paper itself

Abstract

A great deal of research over the last century has focused on drowsiness/alertness detection, as fatigue-related physical and cognitive impairments pose a serious risk to public health and safety. Available drowsiness/alertness detection solutions are unsatisfactory for a number of reasons: (1) lack of generalizability, (2) failure to address individual variability in generalized models, and/or (3) lack of a portable, un-tethered application. The current study aimed to address these issues, and determine if an individualized electroencephalography (EEG) based algorithm could be defined to track performance decrements associated with sleep loss, as this is the first step in developing a field deployable drowsiness/alertness detection system. The results indicated that an EEG-based algorithm, individualized using a series of brief "identification" tasks, was able to effectively track performance decrements associated with sleep deprivation. Future development will address the need for the algorithm to predict performance decrements due to sleep loss, and provide field applicability.

Indexed as

AdolescentAdultAlgorithmsArousalCognitionData Interpretation, StatisticalElectroencephalographyElectrooculographyFemaleGeneralization, PsychologicalHumansLearningMaleMiddle AgedModels, PsychologicalMotor Activity

Identifiers

PMID21419826
PMCPMC3155983

What OpenQuestion holds

Textmetadata
LicenceTDM
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.