Information transfer within and between autistic and non-autistic people

This publication is included in the Autistic Autism Scholarship Project. two authors of this publication are identified as autistic in the project.

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Crompton, C. J., Foster, S. J., Wilks, C., Dodd, M., Efthimiou, T. N., Ropar, D., Sasson, N., Lages, M., & Fletcher-Watson, S. (2025). Information transfer within and between autistic and non-autistic people. Nature Human Behaviour, 9(7), 1488-1500. https://doi.org/10.1038/s41562-025-02163-z

Journal or book title
Nature Human Behaviour
Publisher
Springer Science and Business Media LLC
Volume
9
Issue
7
Pages
1488-1500
Publication date: 14 May 2025 Added to AutiHub: 5 Jul 2026 Type: Article Article language: English
Publisher source (DOI) Full text OpenAlex source

This publication is integrated into AutiHub through:

Authors

Publication authors
9
Publication authors identified as autistic
2 / 9 (22.2%)
  1. Catherine J. Crompton
  2. Sarah J. Foster *
  3. Charlotte Wilks
  4. Michelle Dodd *
  5. Themis Nikolas Efthimiou
  1. Danielle Ropar
  2. Noah Sasson
  3. Martin Lages
  4. Sue Fletcher-Watson

Abstract

Autism is clinically defined by social communication deficits, suggesting that autistic people may be less effective at sharing information, particularly with one another. However, recent research indicates that neurotype mismatches, rather than autism itself, degrade information sharing. Here, using the diffusion chain method, we examined information transfer in autistic, non-autistic and mixed-neurotype chains (N = 311), replicating and extending a key study. We hypothesized that information transfer would deteriorate faster and rapport would be lower in mixed-neurotype compared with single-neurotype chains. Additionally, we examined whether informing participants of the diagnostic status of their chain and whether information was fictional or factual impacted performance and rapport. We found no difference in information transfer between single-neurotype and mixed-neurotype chains. Non-autistic chains indicated higher rapport, and disclosing diagnosis improved rapport. This result challenges assumptions about autistic communication deficits but contrasts with prior findings. Enhanced participant heterogeneity and methodological differences may explain these unexpected results. Protocol registration The Stage 1 protocol for this Registered Report was accepted in principle on 23 August 2022. The protocol, as accepted by the journal, can be found at https://osf.io/us9c7/.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 2 Oct 2026 17:07.

Cited references
99
With a DOI
92
Without a DOI, from raw bibliography text
7
16 / 99 (16.2%) cited references include at least one author identified as autistic.
References with data to complete
7 / 99 (7.1%)
References with detected author names
93 / 99 (93.9%)
Without detected author names
6
Without a structured title
7
Without a stable identifier
7
References with raw author names still to review
6
References with external metadata lookup issues
1
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
336
From DOI or external metadata
336
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
14
153 / 336 (45.5%) names are linked to an author already present in AutiHub. 183 / 336 (54.5%) names are not yet linked.
Names linked to a person identified as autistic
19 / 336 (5.7%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 19 / 153 (12.4%). Distinct people identified as autistic: 15 / 275 (5.5%).
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