Evidence map›Paper›PMID 29588051›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2018

Data-Driven Subtyping of Executive Function-Related Behavioral Problems in Children.

Joe Bathelt, Joni Holmes, Duncan E Astle, Centre for Attention Learning and Memory (CALM) Team

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
4.7field-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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

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  15. Clinical subtyping using community detection: Limited utility?International journal of methods in psychiatric research · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Joe BatheltMRC Cognition and Brain Sciences Unit, University of Cambridge, UK. Electronic address: joe.bathelt@mrc-cbu.cam.ac.uk.
Joni HolmesMRC Cognition and Brain Sciences Unit, University of Cambridge, UK.
Duncan E AstleMRC Cognition and Brain Sciences Unit, University of Cambridge, UK.
Centre for Attention Learning and Memory (CALM) TeamMRC Cognition and Brain Sciences Unit, University of Cambridge, UK.
MRC Cognition and Brain Sciences Unit · GB

Funding

Medical Research Council MC_UP_A060_1103Medical Research Council MC_UP_A060_1104Medical Research Council MC_UU_00005/2Medical Research Council MC_UU_00005/7
6 · The paper itself

Abstract

objectiveExecutive functions (EF) are cognitive skills that are important for regulating behavior and for achieving goals. Executive function deficits are common in children who struggle in school and are associated with multiple neurodevelopmental disorders. However, there is also considerable heterogeneity across children, even within diagnostic categories. This study took a data-driven approach to identify distinct clusters of children with common profiles of EF-related difficulties, and then identified patterns of brain organization that distinguish these data-driven groups.

methodThe sample consisted of 442 children identified by health and educational professionals as having difficulties in attention, learning, and/or memory. We applied community clustering, a data-driven clustering algorithm, to group children by similarities on a commonly used rating scale of EF-associated behavioral difficulties, the Conners 3 questionnaire. We then investigated whether the groups identified by the algorithm could be distinguished on white matter connectivity using a structural connectomics approach combined with partial least squares analysis.

resultsThe data-driven clustering yielded 3 distinct groups of children with symptoms of one of the following: (1) elevated inattention and hyperactivity/impulsivity, and poor EF; (2) learning problems; or (3) aggressive behavior and problems with peer relationships. These groups were associated with significant interindividual variation in white matter connectivity of the prefrontal and anterior cingulate cortices.

conclusionIn sum, data-driven classification of EF-related behavioral difficulties identified stable groups of children, provided a good account of interindividual differences, and aligned closely with underlying neurobiological substrates.

Indexed as

Attention Deficit Disorder with HyperactivityAutism Spectrum DisorderBrainChildExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleProblem BehaviorSurveys and Questionnaireschildhoodexecutive functionnosologystructural imaging

Identifiers

PMID29588051
PMCPMC5889789
OpenAlexW2729782039

What OpenQuestion holds

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LicenceCC BY
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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.