Evidence map›Paper›PMID 33654073›Full record

ArticleTranslational psychiatry2021

Structural brain network topology underpinning ADHD and response to methylphenidate treatment.

Kristi R Griffiths, Taylor A Braund, Michael R Kohn, Simon Clarke, Leanne M Williams, Mayuresh S Korgaonkar

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  19. The structural connectome in ADHD.Psychoradiology · 2021
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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

6 authors at 2 institutions in 2 countries.

Kristi R GriffithsBrain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia. Kristi.griffiths@sydney.edu.au.ORCID http://orcid.org/0000-0002-7108-2272
Taylor A BraundBrain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0001-8408-9070
Michael R KohnBrain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia.
Simon ClarkeBrain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia.
Leanne M WilliamsPsychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Mayuresh S KorgaonkarBrain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-1339-2221
The University of Sydney · AUVA Palo Alto Health Care System · US

Funding

Department of Health | National Health and Medical Research Council (NHMRC) 1122842
6 · The paper itself

Abstract

Behavioural disturbances in attention deficit hyperactivity disorder (ADHD) are thought to be due to dysfunction of spatially distributed, interconnected neural systems. While there is a fast-growing literature on functional dysconnectivity in ADHD, far less is known about the structural architecture underpinning these disturbances and how it may contribute to ADHD symptomology and treatment prognosis. We applied graph theoretical analyses on diffusion MRI tractography data to produce quantitative measures of global network organisation and local efficiency of network nodes. Support vector machines (SVMs) were used for comparison of multivariate graph measures of 37 children and adolescents with ADHD relative to 26 age and gender matched typically developing children (TDC). We also explored associations between graph measures and functionally-relevant outcomes such as symptom severity and prediction of methylphenidate (MPH) treatment response. We found that multivariate patterns of reduced local efficiency, predominantly in subcortical regions (SC), were able to distinguish between ADHD and TDC groups with 76% accuracy. For treatment prognosis, higher global efficiency, higher local efficiency of the right supramarginal gyrus and multivariate patterns of increased local efficiency across multiple networks at baseline also predicted greater symptom reduction after 6 weeks of MPH treatment. Our findings demonstrate that graph measures of structural topology provide valuable diagnostic and prognostic markers of ADHD, which may aid in mechanistic understanding of this complex disorder.

Indexed as

Attention Deficit Disorder with HyperactivityCentral Nervous System StimulantsMethylphenidateAdolescentBrainBrain MappingChildHumansMagnetic Resonance ImagingCentral Nervous System StimulantsMethylphenidate

Identifiers

PMID33654073
PMCPMC7925571
OpenAlexW3135301060

What OpenQuestion holds

Textmetadata
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.