Evidence map›Paper›PMID 36004807›Full record

ArticlePsychological medicine2023

Association of neurostructural biomarkers with secondary attention-deficit/hyperactivity disorder (ADHD) symptom severity in children with traumatic brain injury: a prospective cohort study.

Nicholas P Ryan, Cathy Catroppa, Storm Courtney Ward, Keith Owen Yeates, Louise Crossley, Marisa Hollenkamp, Stephen Hearps, Miriam H Beauchamp, Vicki A Anderson

Open access · hybridAbstract read
In one paragraph

Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. The Role of GDNF and NSE in Attention-deficit/Hyperactivity Disorder: The Relationship with Sleep and Eating.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
    Article
  2. Review
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

9 authors at 5 institutions in 2 countries.

Nicholas P RyanCognitive Neuroscience Unit, Deakin University, Geelong, Australia.ORCID 0000-0002-0878-8889
Cathy CatroppaClinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.
Storm Courtney WardCognitive Neuroscience Unit, Deakin University, Geelong, Australia.
Keith Owen YeatesDepartment of Psychology, Hotchkiss Brain Institute, and Alberta Children's Hospital Research Institute, The University of Calgary, Calgary, Alberta, Canada.
Louise CrossleyClinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.
Marisa HollenkampCognitive Neuroscience Unit, Deakin University, Geelong, Australia.
Stephen HearpsClinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.
Miriam H BeauchampDepartment of Psychology, University of Montreal, Montreal, Canada.
Vicki A AndersonClinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.
Deakin University · AUMurdoch Children's Research Institute · AUThe University of Melbourne · AUCentre Hospitalier Universitaire Sainte-Justine · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite a well-established link between childhood traumatic brain injury (TBI) and elevated secondary attention-deficit/hyperactivity disorder (s-ADHD) symptomology, the neurostructural correlates of these symptoms are largely unknown. Based on the influential 'triple-network model' of ADHD, this prospective longitudinal investigation aimed to (i) assess the effect of childhood TBI on brain morphometry of higher-order cognitive networks proposed to play a key role in ADHD pathophysiology, including the default-mode network (DMN), salience network (SN) and central executive network (CEN); and (ii) assess the independent prognostic value of DMN, SN and CEN morphometry in predicting s-ADHD symptom severity after childhood TBI.

methodsThe study sample comprised 155 participants, including 112 children with medically confirmed mild-severe TBI ascertained from consecutive hospital admissions, and 43 typically developing (TD) children matched for age, sex and socio-economic status. High-resolution structural brain magnetic resonance imaging (MRI) sequences were acquired sub-acutely in a subset of 103 children with TBI and 34 TD children. Parents completed well-validated measures of ADHD symptom severity at 12-months post injury.

resultsRelative to TD children and those with milder levels of TBI severity (mild, complicated mild, moderate), children with severe TBI showed altered brain morphometry within large-scale, higher-order cognitive networks, including significantly diminished grey matter volumes within the DMN, SN and CEN. When compared with the TD group, the TBI group showed significantly higher ADHD symptomatology and higher rates of clinically elevated symptoms. In multivariable models adjusted for other well-established risk factors, altered DMN morphometry independently predicted higher s-ADHD symptomatology at 12-months post-injury, whilst SN and CEN morphometry were not significant independent predictors.

conclusionsOur prospective study findings suggest that neurostructural alterations within higher-order cognitive circuitry may represent a prospective risk factor for s-ADHD symptomatology at 12-months post-injury in children with TBI. High-resolution structural brain MRI has potential to provide early prognostic biomarkers that may help early identification of high-risk children with TBI who are likely to benefit from early surveillance and preventive measures to optimise long-term neuropsychiatric outcomes.

Indexed as

Attention Deficit Disorder with HyperactivityBrain ConcussionBrain Injuries, TraumaticBiomarkersBrainChildHumansMagnetic Resonance ImagingProspective StudiesBiomarkersAttention-deficit/hyperactivity disorderbrain injurieschildhoodstructural MRI

Identifiers

PMID36004807
PMCPMC10476057
OpenAlexW4293088680

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.