Evidence map›Paper›PMID 33767139›Full record

ArticleTranslational psychiatry2021

Gray matter networks associated with attention and working memory deficit in ADHD across adolescence and adulthood.

Kuaikuai Duan, Wenhao Jiang, Kelly Rootes-Murdy, Gido H Schoenmacker, Alejandro Arias-Vasquez, Jan K Buitelaar, Martine Hoogman, Jaap Oosterlaan, Pieter J Hoekstra, Dirk J Heslenfeld and 4 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  6. Fronto-Thalamo-Cerebellar Circuitry in Predicting Cognition and Behavior of ABCD Adolescents.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
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  9. Integrating Neuroimaging and Genetics via Contrastive Learning for Working Memory.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2024
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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

14 authors at 6 institutions in 2 countries.

Kuaikuai DuanTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Wenhao JiangDepartment of Psychology, Georgia State University, Atlanta, GA, USA.
Kelly Rootes-MurdyDepartment of Psychology, Georgia State University, Atlanta, GA, USA.
Gido H SchoenmackerDepartment of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Alejandro Arias-VasquezDepartment of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Jan K BuitelaarDepartment of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0001-8288-7757
Martine HoogmanDepartment of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Jaap OosterlaanClinical Neuropsychology Section, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Pieter J HoekstraDepartment of Psychiatry, University of Groningen, Groningen, The Netherlands.
Dirk J HeslenfeldFaculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Catharina A HartmanDepartment of Psychiatry, University of Groningen, Groningen, The Netherlands.
Vince D CalhounTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Jessica A TurnerTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University Georgia Institute of Technology and Emory University, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-0076-8434
Jingyu LiuTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University Georgia Institute of Technology and Emory University, Atlanta, GA, USA. jliu75@gsu.edu.ORCID http://orcid.org/0000-0002-1724-7523
Radboud University Nijmegen · NLGeorgia Institute of Technology · USGeorgia State University · USUniversity of Groningen · NLEmma Kinderziekenhuis · NLVrije Universiteit Amsterdam · NL

Funding

Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Genetic Networks Influencing Gray Matter Changes in Persistent ADHDR01MH106655 · NIMH · THE MIND RESEARCH NETWORK · PI LIU, JINGYU · 2016 to 2019
$1.5M
NIBIB NIH HHS U54 EB020403NIMH NIH HHS R01 MH106655
6 · The paper itself

Abstract

Attention-deficit/hyperactivity disorder (ADHD) is a childhood-onset neuropsychiatric disorder and may persist into adulthood. Working memory and attention deficits have been reported to persist from childhood to adulthood. How neuronal underpinnings of deficits differ across adolescence and adulthood is not clear. In this study, we investigated gray matter of two cohorts, 486 adults and 508 adolescents, each including participants from ADHD and healthy controls families. Two cohorts both presented significant attention and working memory deficits in individuals with ADHD. Independent component analysis was applied to the gray matter of each cohort, separately, to extract cohort-inherent networks. Then, we identified gray matter networks associated with inattention or working memory in each cohort, and projected them onto the other cohort for comparison. Two components in the inferior, middle/superior frontal regions identified in adults and one component in the insula and inferior frontal region identified in adolescents were significantly associated with working memory in both cohorts. One component in bilateral cerebellar tonsil and culmen identified in adults and one component in left cerebellar region identified in adolescents were significantly associated with inattention in both cohorts. All these components presented a significant or nominal level of gray matter reduction for ADHD participants in adolescents, but only one showed nominal reduction in adults. Our findings suggest although the gray matter reduction of these regions may not be indicative of persistency of ADHD, their persistent associations with inattention or working memory indicate an important role of these regions in the mechanism of persistence or remission of the disorder.

Indexed as

Attention Deficit Disorder with HyperactivityAdolescentAdultBrainChildGray MatterHumansMagnetic Resonance ImagingMemory DisordersMemory, Short-TermYoung Adult

Identifiers

PMID33767139
PMCPMC7994833
OpenAlexW3138398833

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.