Evidence map›Paper›PMID 36050371›Full record

ArticleScientific reports2022

Temporal binding of social events less pronounced in individuals with Autism Spectrum Disorder.

David H V Vogel, Mathis Jording, Carolin Esser, Amelie Conrad, Peter H Weiss, Kai Vogeley

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

David H V VogelInstitute of Neuroscience and Medicine, Cognitive Neuroscience (INM3), Research Center Juelich, Jülich, Germany. david.vogel@uk-koeln.de.
Mathis JordingInstitute of Neuroscience and Medicine, Cognitive Neuroscience (INM3), Research Center Juelich, Jülich, Germany.
Carolin EsserFaculty of Medicine and University Hospital Cologne, Department of Psychiatry, University of Cologne, Cologne, Germany.
Amelie ConradFaculty of Medicine and University Hospital Cologne, Department of Psychiatry, University of Cologne, Cologne, Germany.
Peter H WeissInstitute of Neuroscience and Medicine, Cognitive Neuroscience (INM3), Research Center Juelich, Jülich, Germany.
Kai VogeleyInstitute of Neuroscience and Medicine, Cognitive Neuroscience (INM3), Research Center Juelich, Jülich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differences in predictive processing are considered amongst the prime candidates for mechanisms underlying different symptoms of autism spectrum disorder (ASD). A particularly valuable paradigm to investigate these processes is temporal binding (TB) assessed through time estimation tasks. In this study, we report on two separate experiments using a TB task designed to assess the influence of top-down social information on action event related TB. Both experiments were performed with a group of individuals diagnosed with ASD and a matched group without ASD. The results replicate earlier findings on a pronounced social hyperbinding for social action-event sequences and extend them to persons with ASD. Hyperbinding however, is less pronounced in the group with ASD as compared to the group without ASD. We interpret our results as indicative of a reduced predictive processing during social interaction. This reduction most likely results from differences in the integration of top-down social information into action-event monitoring. We speculate that this corresponds to differences in mentalizing processes in ASD.

Indexed as

Autism Spectrum DisorderHumansTime

Identifiers

PMID36050371
PMCPMC9437002

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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.