Evidence map›Paper›PMID 29484255›Full record

ArticleBrain and behavior2018

Brain resting-state networks in adolescents with high-functioning autism: Analysis of spatial connectivity and temporal neurodynamics.

Antoine Bernas, Evelien M Barendse, Albert P Aldenkamp, Walter H Backes, Paul A M Hofman, Marc P H Hendriks, Roy P C Kessels, Frans M J Willems, Peter H N de With, Svitlana Zinger and 1 more

Abstract read
In one paragraph

Article in Brain and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

11 authors.

Antoine BernasDepartment of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands.ORCID 0000-0002-2006-4891
Evelien M BarendseDepartment of Neurology Maastricht University Medical Center Maastricht The Netherlands.
Albert P AldenkampDepartment of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands.
Walter H BackesSchool for Mental Health and Neuroscience Maastricht University Medical Center Maastricht The Netherlands.
Paul A M HofmanSchool for Mental Health and Neuroscience Maastricht University Medical Center Maastricht The Netherlands.
Marc P H HendriksDonders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen Nijmegen The Netherlands.
Roy P C KesselsDonders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen Nijmegen The Netherlands.
Frans M J WillemsDepartment of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands.
Peter H N de WithDepartment of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands.
Svitlana ZingerDepartment of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands.
Jacobus F A JansenSchool for Mental Health and Neuroscience Maastricht University Medical Center Maastricht The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Autism spectrum disorder (ASD) is mainly characterized by functional and communication impairments as well as restrictive and repetitive behavior. The leading hypothesis for the neural basis of autism postulates globally abnormal brain connectivity, which can be assessed using functional magnetic resonance imaging (fMRI). Even in the absence of a task, the brain exhibits a high degree of functional connectivity, known as intrinsic, or resting-state, connectivity. Global default connectivity in individuals with autism versus controls is not well characterized, especially for a high-functioning young population. The aim of this study is to test whether high-functioning adolescents with ASD (HFA) have an abnormal resting-state functional connectivity. Materials and Methods: We performed spatial and temporal analyses on resting-state networks (RSNs) in 13 HFA adolescents and 13 IQ- and age-matched controls. For the spatial analysis, we used probabilistic independent component analysis (ICA) and a permutation statistical method to reveal the RSN differences between the groups. For the temporal analysis, we applied Granger causality to find differences in temporal neurodynamics. Results: Controls and HFA display very similar patterns and strengths of resting-state connectivity. We do not find any significant differences between HFA adolescents and controls in the spatial resting-state connectivity. However, in the temporal dynamics of this connectivity, we did find differences in the causal effect properties of RSNs originating in temporal and prefrontal cortices. Conclusion: The results show a difference between HFA and controls in the temporal neurodynamics from the ventral attention network to the salience-executive network: a pathway involving cognitive, executive, and emotion-related cortices. We hypothesized that this weaker dynamic pathway is due to a subtle trigger challenging the cognitive state prior to the resting state.

Indexed as

Autism Spectrum DisorderPrefrontal CortexTemporal LobeAdolescentBrain MappingCognitionConnectomeEmotionsFemaleHumansMagnetic Resonance ImagingMaleNerve NetSpatio-Temporal Analysisautism spectrum disorderfunctional MRIGranger causalityhigh‐functioning autismindependent component analysisresting‐state brain connectivitytemporal neurodynamics

Identifiers

PMID29484255
PMCPMC5822569

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.