Evidence map›Paper›PMID 27422412›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2017

Network Structure among Brain Systems in Adult ADHD is Uniquely Modified by Stimulant Administration.

Robert P Cary, Siddharth Ray, David S Grayson, Julia Painter, Samuel Carpenter, Leeza Maron, Olaf Sporns, Alexander A Stevens, Joel T Nigg, Damien A Fair

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

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  10. Brain connectivity and academic skills in English learners.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Article
  11. Examining the role of dopamine in methylphenidate's effects on resting brain function.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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  20. Correlated Gene Expression and Anatomical Communication Support Synchronized Brain Activity in the Mouse Functional Connectome.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
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

10 authors at 2 institutions in 1 country.

Robert P CaryDepartment of Behavioral Neuroscience, Oregon Health & Science University, USA.
Siddharth RayDepartment of Behavioral Neuroscience, Oregon Health & Science University, USA.
David S GraysonDepartment of Behavioral Neuroscience, Oregon Health & Science University, USA.
Julia PainterDepartment of Behavioral Neuroscience, Oregon Health & Science University, USA.
Samuel CarpenterDepartment of Behavioral Neuroscience, Oregon Health & Science University, USA.
Leeza MaronDepartment of Psychiatry, Oregon Health & Science University, USA.
Olaf SpornsDepartment of Psychological and Brain Sciences, Indiana University, USA.
Alexander A StevensDepartment of Psychiatry, Oregon Health & Science University, USA.
Joel T NiggDepartment of Psychiatry, Oregon Health & Science University, USA.
Damien A FairDepartment of Behavioral Neuroscience, Oregon Health & Science University, USA.
Oregon Health & Science University · USIndiana University · US

Funding

Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASDR01MH096773 · NIMH · UNIVERSITY OF MINNESOTA · PI DOSENBACH, NICO, FAIR, DAMIEN A · 2012 to 2024
$9.4M
Longitudinal Imaging Study of ADHD Brain DevelopmentR01MH086654 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI NIGG, JOEL T · 2010 to 2014
$2.9M
Functional Circuits as an Endophenotype for ADHD in ChildrenR00MH091238 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI FAIR, DAMIEN A · 2011 to 2013
$723k
NIMH NIH HHS R00 MH091238NIMH NIH HHS R01 MH086654NIMH NIH HHS R01 MH096773
6 · The paper itself

Abstract

Current research in connectomics highlights that self-organized functional networks or "communities" of cortical areas can be detected in the adult brain. This perspective may provide clues to mechanisms of treatment response in psychiatric conditions. Here we examine functional brain community topology based on resting-state fMRI in adult Attention-Deficit/Hyperactivity Disorder (ADHD; n = 22) and controls (n = 31). We sought to evaluate ADHD patterns in adulthood and their modification by short term stimulants administration. Participants with ADHD were scanned one or two weeks apart, once with medication and once without; comparison participants were scanned at one time-point. Functional connectivity was estimated from these scans and community detection applied to determine cortical network topology. Measures of change in connectivity profile were calculated via a graph measure, termed the Node Dissociation Index (NDI). Compared to controls, several cortical networks had atypical connectivity in adults with ADHD when withholding stimulants, as measured by NDI. In most networks stimulants significantly reduced, but did not eliminate, differences in the distribution of connections between key brain systems relative to the control sample. These findings provide an enriched model of connectivity in ADHD and demonstrate how stimulants may exert functional effects by altering connectivity profiles in the brain.

Indexed as

AdolescentAdultAttention Deficit Disorder with HyperactivityBrainCentral Nervous System StimulantsCohort StudiesConnectomeFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysPsychiatric Status Rating ScalesRestTreatment OutcomeYoung AdultCentral Nervous System StimulantsADHDfunctional connectivityMRIresting statestimulants

Identifiers

PMID27422412
PMCPMC6248828
OpenAlexW2463506838

What OpenQuestion holds

Textmetadata
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.