Evidence map›Paper›PMID 24157391›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2013

A potential electroencephalography and cognitive biosignature for the child behavior checklist-dysregulation profile.

James J McGough, James T McCracken, Alexander L Cho, Edward Castelo, Alexandra Sturm, Jennifer Cowen, John Piacentini, Sandra K Loo

Abstract readComparative Study
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–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, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Frustration, Cognition, and Psychophysiology in Dysregulated Children: A Research Domain Criteria Approach.Journal of the American Academy of Child and Adolescent Psychiatry · 2022
    Article
  9. Article
  10. Parsing heterogeneity in attention-deficit hyperactivity disorder using EEG-based subgroups.Journal of child psychology and psychiatry, and allied disciplines · 2018
    Article
  11. Article
  12. 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

8 authors.

James J McGoughSemel Institute for Neuroscience and Human Behavior and David Geffen School of Medicine at the University of California-Los Angeles. Electronic address: jmcgough@mednet.ucla.edu.
James T McCracken
Alexander L Cho
Edward Castelo
Alexandra Sturm
Jennifer Cowen
John Piacentini
Sandra K Loo

Funding

Translational Research to Enhance Cognitive ControlP50MH077248 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MCCRACKEN, JAMES T. · 2006 to 2011
$9.2M
Characterization and Sequential Pharmacotherapy of Severe Mood DysregulationU01MH093582 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MCGOUGH, JAMES JOHN · 2012 to 2013
$416k
Brain Source Analysis of Existing EEG Data in Childhood ADHDR03MH092829 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, SANDRA K · 2011 to 2012
$168k
NIMH NIH HHS P50 MH077248NIMH NIH HHS P50MH77248NIMH NIH HHS R01MH92829NIMH NIH HHS R03 MH092829NIMH NIH HHS U01 MH093582NIMH NIH HHS U01MH093582
6 · The paper itself

Abstract

objectiveThe Child Behavior Checklist-Dysregulation Profile (CBCL/DP) identifies youth at increased risk for significant psychopathology. Although the genetic architecture and several biological correlates of the CBCL/DP have been described, little work has elucidated its underlying neurobiology. We examined the potential utility of electroencephalography (EEG), along with behavioral and cognitive assessments, in differentiating individuals based on the CBCL/DP.

methodParticipants aged 7 to 14 years of age were categorized into 3 age- and sex-matched groups based on clinical assessment and CBCL/DP: typically developing controls without attention-deficit/hyperactivity disorder (ADHD) (n = 38), individuals with ADHD without the CBCL/DP (ADHD/DP-) (n = 38), and individuals with the CBCL/DP (CBCL/DP+) (n = 38). Groups were compared with EEG and measures of clinical phenomenology and cognition.

resultsADHD/DP- and CBCL/DP+ groups had increased inattention, but the CBCL/DP+ group had increased hyperactive/impulsive symptoms, disruptive behavior, mood, and anxiety comorbidities compared with the group with ADHD alone. Cognitive profiles suggested that ADHD/DP-participants had fast impulsive responses, whereas CBCL/DP+ participants were slow and inattentive. On EEG, CBCL/DP+ had a distinct profile of attenuated δ-band and elevated α-band spectral power in the central and parietal regions compared to ADHD/DP- and controls. The low-δ/high-α profile was correlated with measures of emotion and behavior problems and not with inattentive symptomatology or cognitive measures. There were no EEG differences between the ADHD/DP- and control groups.

conclusionsAn EEG/cognitive profile suggests a distinct pattern of underlying neural dysfunction with the CBCL/DP that might ultimately serve as a biosignature. Further work is required to identify potential relationships with clinically defined psychiatric disorders, particularly those of dysregulated mood.

Indexed as

AdolescentAlpha RhythmAnxiety DisordersAttention Deficit and Disruptive Behavior DisordersAttention Deficit Disorder with HyperactivityBrainChecklistChildChild Behavior DisordersComorbidityDelta RhythmElectroencephalographyFemaleHumansImpulsive BehaviorMaleattention-deficit/hyperactivity disorder (ADHD)biological markersbrain imaging techniquescognitive neurosciencemood dysregulation

Identifiers

PMID24157391
PMCPMC3839814

What OpenQuestion holds

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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.