Evidence map›Paper›PMID 38169954›Full record

ArticleMind, brain and education : the official journal of the International Mind, Brain, and Education Society2022

EEG Data Quality in Real-World Settings: Examining Neural Correlates of Attention in School-Aged Children.

Keye Xu, Sarah Jo Torgrimson, Remi Torres, Agatha Lenartowicz, Jennie K Grammer

Open access · greenAbstract read
In one paragraph

Article in Mind, brain and education : the official journal of the International Mind, Brain, and Education Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
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

5 authors at 1 institution in 1 country.

Keye XuSchool of Education and Information Studies, University of California, Los Angeles.ORCID 0000-0002-1694-268X
Sarah Jo TorgrimsonSchool of Education and Information Studies, University of California, Los Angeles.ORCID 0000-0002-8659-2419
Remi TorresSchool of Education and Information Studies, University of California, Los Angeles.ORCID 0000-0003-2317-3134
Agatha LenartowiczSemel Institute for Neuroscience and Behavior, University of California, Los Angeles.ORCID 0000-0001-8015-8251
Jennie K GrammerSchool of Education and Information Studies, University of California, Los Angeles.ORCID 0000-0001-8731-0535
University of California, Los Angeles · US

Funding

Combining neural oscillations, physiology and privacy-preserving LiDAR/millimeter wave sensing technology to track attention states in natural contextsR61MH138713 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Emre Ertin, Jennie K. Grammer · 2025 to 2026
$1.3M
Real-time attention tracking in the classroomR21MH119448 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GRAMMER, JENNIE K., LENARTOWICZ, AGATHA · 2019 to 2020
$403k
NIMH NIH HHS R21 MH119448NIMH NIH HHS R61 MH138713
6 · The paper itself

Abstract

Advances in mobile electroencephalography (EEG) technology have made it possible to examine covert cognitive processes in real-world settings such as student attention in the classroom. Here, we outline research using wired and wireless EEG technology to examine attention in elementary school children across increasingly naturalistic paradigms in schools, ranging from a lab-based paradigm where children met one-on-one with an experimenter in a field laboratory to mobile EEG testing conducted in the same school during semi-naturalistic classroom lessons. Despite an increase of data loss with the classroom-based paradigm, we demonstrate that it is feasible to collect quality data in classroom settings with young children. We also provide a test case for how robust EEG signals, such as alpha oscillations, can be used to identify measurable differences in covert processes like attention in classrooms. We end with pragmatic suggestions for researchers interested in employing naturalistic EEG methods in real-world, multisensory contexts.

Identifiers

PMID38169954
PMCPMC10760994
OpenAlexW4213334966

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.