Evidence map›Paper›PMID 36000340›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2023

Multivariate associations between behavioural dimensions and white matter across children and adolescents with and without attention-deficit/hyperactivity disorder.

Xuan Bu, Yingxue Gao, Kaili Liang, Weijie Bao, Ying Chen, Lanting Guo, Qiyong Gong, Hanzhang Lu, Brian Caffo, Susumu Mori and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

11 authors at 4 institutions in 2 countries.

Xuan BuDepartment of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.
Yingxue GaoDepartment of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.
Kaili LiangDepartment of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.
Weijie BaoDepartment of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.
Ying ChenDepartment of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.
Lanting GuoDepartment of Psychiatry, West China Hospital of Sichuan University, Chengdu, China.
Qiyong GongDepartment of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.
Hanzhang LuThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Brian CaffoDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Susumu MoriThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Xiaoqi HuangDepartment of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.
Johns Hopkins University · USWest China Hospital of Sichuan University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNKey Laboratory of Guangdong Province · CN

Funding

Statistical methods for structural and functional integration in multi-modal neuroimaging dataR01EB029977 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI CAFFO, BRIAN SCOTT · 2021 to 2024
$1.9M
NIBIB NIH HHS R01 EB029977
6 · The paper itself

Abstract

backgroundAttention deficit/hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental disorder. Integrity of white matter microstructure plays a key role in the neural mechanism of ADHD presentations. However, the relationships between specific behavioural dimensions and white matter microstructure are less well known. This study aimed to identify associations between white matter and a broad set of clinical features across children and adolescent with and without ADHD using a data-driven multivariate approach.

methodWe recruited a total of 130 children (62 controls and 68 ADHD) and employed regularized generalized canonical correlation analysis to characterize the associations between white matter and a comprehensive set of clinical measures covering three domains, including symptom, cognition and behaviour. We further applied linear discriminant analysis to integrate these associations to explore potential developmental effects.

resultsWe delineated two brain-behaviour dimensional associations in each domain resulting a total of six multivariate patterns of white matter microstructural alterations linked to hyperactivity-impulsivity and mild affected; executive functions and working memory; externalizing behaviour and social withdrawal, respectively. Apart from executive function and externalizing behaviour sharing similar white matter patterns, all other dimensions linked to a specific pattern of white matter microstructural alterations. The multivariate dimensional association scores showed an overall increase and normalization with age in ADHD group while remained stable in controls.

conclusionsWe found multivariate neurobehavioral associations exist across ADHD and controls, which suggested that multiple white matter patterns underlie ADHD heterogeneity and provided neural bases for more precise diagnosis and individualized treatment.

Indexed as

Attention Deficit Disorder with HyperactivityWhite MatterAdolescentBrainChildCognitionExecutive FunctionHumansADHDmagnetic resonance imagingmultivariate analysispaediatrics

Identifiers

PMID36000340
PMCPMC10087687
OpenAlexW4293169257

What OpenQuestion holds

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LicenceCC BY-NC
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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.