Evidence map›Paper›PMID 31752659›Full record

SynthesisJournal of neurodevelopmental disorders2019

Are there shared neural correlates between dyslexia and ADHD? A meta-analysis of voxel-based morphometry studies.

Lauren M McGrath, Catherine J Stoodley

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of neurodevelopmental disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Facial expression recognition ability and its neuropsychological mechanisms in children with attention deficit and hyperactive disorder.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024
    Review
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  14. A systematic meta-review of systematic reviews on attention deficit hyperactivity disorder.European psychiatry : the journal of the Association of European Psychiatrists · 2023
    Review
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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

2 authors.

Lauren M McGrathDepartment of Psychology, University of Denver, Frontier Hall, 2155 S. Race St., Denver, CO, 80208, USA. lauren.mcgrath@du.edu.ORCID 0000-0001-6928-9656
Catherine J StoodleyDepartment of Psychology and Center for Behavioral Neuroscience, American University, Washington, DC, USA.

Funding

VALIDITY OF SUBTYPES OF ADHDP50HD027802 · NICHD · UNIVERSITY OF COLORADO AT BOULDER · PI ERIK G WILLCUTT · 1990 to 2026
$44.9M
Cognitive and neural predictors of comorbidity between reading and attention problemsR15HD086662 · NICHD · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI MCGRATH, LAUREN M · 2016 to 2016
$410k
National Institute of Child Health and Human Development P50HD027802National Institute of Child Health and Human Development R15HD086662NICHD NIH HHS P50 HD027802NICHD NIH HHS R15 HD086662
6 · The paper itself

Abstract

backgroundDyslexia and Attention-deficit/hyperactivity disorder (ADHD) are highly comorbid neurodevelopmental disorders (estimates of 25-40% bidirectional comorbidity). Previous work has identified strong genetic and cognitive overlap between the disorders, but neural overlap is relatively unexplored. This study is a systematic meta-analysis of existing voxel-based morphometry studies to determine whether there is any overlap in the gray matter correlates of both disorders.

methodsWe conducted anatomic likelihood estimate (ALE) meta-analyses of voxel-based morphometry studies in which individuals with dyslexia (15 studies; 417 cases, 416 controls) or ADHD (22 studies; 898 cases, 763 controls) were compared to typically developing controls. We generated ALE maps for dyslexia vs. controls and ADHD vs. controls using more conservative (p < .001, k = 50) and more lenient (p < .005, k = 50) thresholds. To determine the overlap of gray matter correlates of dyslexia and ADHD, we examined the statistical conjunction between the ALE maps for dyslexia vs. controls and ADHD vs. controls (false discovery rate [FDR] p < .05, k = 50, 5000 permutations).

resultsResults showed largely distinct gray matter differences associated with dyslexia and ADHD. There was no evidence of statistically significant gray matter overlap at our conservative threshold, and only one region of overlap in the right caudate at our more lenient threshold. Reduced gray matter in the right caudate may be relevant to shared cognitive correlates in executive functioning and/or procedural learning. The more general finding of largely distinct regional differences in gray matter between dyslexia and ADHD suggests that other neuroimaging modalities may be more sensitive to overlapping neural correlates, and that current neuroimaging recruitment approaches may be hindering progress toward uncovering neural systems associated with comorbidity.

conclusionsThe current study is the first to meta-analyze overlap between gray matter differences in dyslexia and ADHD, which is a critical step toward constructing a multi-level understanding of this comorbidity that spans the genetic, neural, and cognitive levels of analysis.

Indexed as

ComorbidityNeuroimagingAttention Deficit Disorder with HyperactivityCaudate NucleusDyslexiaGray MatterHumansAttention-deficit/hyperactivity disorderCaudateDyslexiaMeta-analysisVoxel-based morphometry

Identifiers

PMID31752659
PMCPMC6873566

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.