Evidence map›Paper›PMID 33403915›Full record

ReviewBrain connectivity2021

A Review of the Default Mode Network in Autism Spectrum Disorders and Attention Deficit Hyperactivity Disorder.

Amritha Harikumar, David W Evans, Chase C Dougherty, Kimberly L H Carpenter, Andrew M Michael

Open access · hybridAbstract readReview
In one paragraph

Review in Brain connectivity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 4 pooled it
8.6field-weighted citation impact, top 1% 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

61 citing papers in PubMed, 4 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Cortical Network Overconnectivity Relates to Sensory, Cognitive, and Social Dimensions in Young Children With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Aberrant type 2 dopamine and mu-opioid receptor availability in autism spectrum disorder.European journal of nuclear medicine and molecular imaging · 2026
    Article
  13. Article
  14. Cortical Thickness and Curvature in Autism and ADHD: A Mega-Analysis.bioRxiv : the preprint server for biology · 2026
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 1 country.

Amritha HarikumarDepartment of Psychiatry, Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
David W EvansDepartment of Psychology, Bucknell University, Lewisburg, Pennsylvania, USA.
Chase C DoughertyDepartment of Psychiatry, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Kimberly L H CarpenterDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA.
Andrew M MichaelDepartment of Psychiatry and Behavioral Sciences, Duke Institute for Brain Science, Duke University, Durham, North Carolina, USA.
Duke University · USAthinoula A. Martinos Center for Biomedical Imaging · USBucknell University · USPenn State Milton S. Hershey Medical Center · US

Funding

Recruitment and Assessment CoreP50HD093074 · NICHD · DUKE UNIVERSITY · PI SCOTT N COMPTON · 2017 to 2026
$27.6M
NICHD NIH HHS P50 HD093074
6 · The paper itself

Abstract

Functional magnetic resonance imaging (fMRI) has been widely used to examine the relationships between brain function and phenotypic features in neurodevelopmental disorders. Techniques such as resting-state functional connectivity (FC) have enabled the identification of the primary networks of the brain. One fMRI network, in particular, the default mode network (DMN), has been implicated in social-cognitive deficits in autism spectrum disorders (ASD) and attentional deficits in attention deficit hyperactivity disorder (ADHD). Given the significant clinical and genetic overlap between ASD and ADHD, surprisingly, no reviews have compared the clinical, developmental, and genetic correlates of DMN in ASD and ADHD and here we address this knowledge gap. We find that, compared with matched controls, ASD studies show a mixed pattern of both stronger and weaker FC in the DMN and ADHD studies mostly show stronger FC. Factors such as age, intelligence quotient, medication status, and heredity affect DMN FC in both ASD and ADHD. We also note that most DMN studies make ASD versus ADHD group comparisons and fail to consider ASD+ADHD comorbidity. We conclude, by identifying areas for improvement and by discussing the importance of using transdiagnostic approaches such as the Research Domain Criteria (RDoC) to fully account for the phenotypic and genotypic heterogeneity and overlap of ASD and ADHD.

Indexed as

Attention Deficit Disorder with HyperactivityAutism Spectrum DisorderBrainDefault Mode NetworkHumansMagnetic Resonance ImagingADHDASDattention deficit hyperactivity disorderautism spectrum disordersdefault mode networkresting fMRI

Identifiers

PMID33403915
PMCPMC8112713
OpenAlexW3120906006

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.