Evidence map›Paper›PMID 26099166›Full record

ReviewJournal of child psychology and psychiatry, and allied disciplines2016

Research Review: Use of EEG biomarkers in child psychiatry research - current state and future directions.

Sandra K Loo, Agatha Lenartowicz, Scott Makeig

Abstract readReview
In one paragraph

Review in Journal of child psychology and psychiatry, and allied disciplines, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 pooled it
4.9field-weighted citation impact, top 4% 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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Event-related brain oscillations in attention-deficit/hyperactivity disorder (ADHD): A systematic review and meta-analysis.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2022
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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

3 authors at 3 institutions in 1 country.

Sandra K LooSemel Neuropsychiatric Institute, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Agatha LenartowiczSemel Neuropsychiatric Institute, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Scott MakeigSwartz Center for Computational Neuroscience, UCSD, San Diego, CA, USA.
Neuropsychiatric Research Institute · USUniversity of California, Los Angeles · USUniversity of California, San Diego · US

Funding

EEGLAB: Software for Analysis of Human Brain DynamicsR01NS047293 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Arnaud Delorme, Scott Makeig · 2004 to 2026
$10.2M
Linking Brain and Behavior in Chronic Tic DisordersR01NS097484 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, SANDRA K · 2016 to 2020
$1.7M
Developmental Pilot Study of External Trigeminal Nerve Stimulation for ADHDR34MH101282 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, SANDRA K, MCGOUGH, JAMES JOHN · 2014 to 2016
$693k
Linking Brain and Behavior in Chronic Tic DisorderR21NS080160 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, SANDRA K · 2013 to 2014
$436k
NIMH NIH HHS R34 MH101282NINDS NIH HHS R01 NS047293NINDS NIH HHS R01 NS097484NINDS NIH HHS R21 NS080160
6 · The paper itself

Abstract

backgroundElectroencephalography (EEG) and related measures have a long and productive history in child psychopathology research and are currently experiencing a renaissance in interest, particularly for use as putative biomarkers. METHOD AND SCOPE: First, the recent history leading to the use of EEG measures as endophenotypes and biomarkers for disease and treatment response are reviewed. Two key controversies within the area of noninvasive human electrophysiology research are discussed, and problems that currently either function as barriers or provide gateways to progress. First, the differences between the main types of EEG measurements (event-related potentials, quantitative EEG, and time-frequency measures) and how they can contribute collectively to better understanding of cortical dynamics underlying cognition and behavior are highlighted. Second, we focus on the ongoing shift in analytic focus to specific cortical sources and source networks whose dynamics are relevant to the clinical and experimental focus of the study, and the effective increase in source signal-to-noise ratio (SNR) that may be obtained in the process.

conclusionsUnderstanding of these issues informs any discussion of current trends in EEG research. We highlight possible ways to evolve our understanding of brain dynamics beyond the apparent contradictions in understanding and modeling EEG activity highlighted by these controversies. Finally, we summarize some promising future directions of EEG biomarker research in child psychopathology.

Indexed as

brain imagingEEGevent-related potentialneurophysiologypsychopathology

Identifiers

PMID26099166
PMCPMC4689673
OpenAlexW1506091216

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.