Evidence map›Paper›PMID 31666679›Full record

ArticleMolecular psychiatry2021

ADHD symptoms map onto noise-driven structure-function decoupling between hub and peripheral brain regions.

Luke J Hearne, Hsiang-Yuan Lin, Paula Sanz-Leon, Wen-Yih Isaac Tseng, Susan Shur-Fen Gau, James A Roberts, Luca Cocchi

Abstract read
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In one paragraph

Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

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  5. Structure-function coupling in the first month of life: Associations with age and attention.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

7 authors.

Luke J Hearne *Clinical Brain Networks Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-2014-1148
Hsiang-Yuan Lin *Department of Psychiatry, National Taiwan University Hospital, and College of Medicine, Taipei, Taiwan.ORCID http://orcid.org/0000-0001-9519-209X
Paula Sanz-LeonBrain Modelling Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Wen-Yih Isaac TsengInstitute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan.
Susan Shur-Fen GauDepartment of Psychiatry, National Taiwan University Hospital, and College of Medicine, Taipei, Taiwan. gaushufe@ntu.edu.tw.ORCID http://orcid.org/0000-0002-2718-8221
James A RobertsBrain Modelling Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0003-1626-6551
Luca CocchiClinical Brain Networks Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0003-3651-2676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adults with childhood-onset attention-deficit hyperactivity disorder (ADHD) show altered whole-brain connectivity. However, the relationship between structural and functional brain abnormalities, the implications for the development of life-long debilitating symptoms, and the underlying mechanisms remain uncharted. We recruited a unique sample of 80 medication-naive adults with a clinical diagnosis of childhood-onset ADHD without psychiatric comorbidities, and 123 age-, sex-, and intelligence-matched healthy controls. Structural and functional connectivity matrices were derived from diffusion spectrum imaging and multi-echo resting-state functional MRI data. Hub, feeder, and local connections were defined using diffusion data. Individual-level measures of structural connectivity and structure-function coupling were used to contrast groups and link behavior to brain abnormalities. Computational modeling was used to test possible neural mechanisms underpinning observed group differences in the structure-function coupling. Structural connectivity did not significantly differ between groups but, relative to controls, ADHD showed a reduction in structure-function coupling in feeder connections linking hubs with peripheral regions. This abnormality involved connections linking fronto-parietal control systems with sensory networks. Crucially, lower structure-function coupling was associated with higher ADHD symptoms. Results from our computational model further suggest that the observed structure-function decoupling in ADHD is driven by heterogeneity in neural noise variability across brain regions. By highlighting a neural cause of a clinically meaningful breakdown in the structure-function relationship, our work provides novel information on the nature of chronic ADHD. The current results encourage future work assessing the genetic and neurobiological underpinnings of neural noise in ADHD, particularly in brain regions encompassed by fronto-parietal systems.

Indexed as

Attention Deficit Disorder with HyperactivityAdultBrainBrain MappingHumansMagnetic Resonance ImagingNeural Pathways

Identifiers

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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 OpenQuestion graph.