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Behavioural and Neural Indices of Perceptual Decision-making in Autistic Children During Visual Motion Tasks, 2018-2020
Creator
Manning, C, University of Oxford, University of Reading
Hassall, C, University of Oxford
Hunt, L, University of Oxford
Norcia, A, Stanford University
Wagenmakers, E, University of Amsterdam
Evans, N, University of Queensland
Scerif, G, University of Oxford
Study number / PID
855625 (UKDA)
10.5255/UKDA-SN-855625 (DOI)
Data access
Restricted
Series
Not available
Abstract
This collection contains the EEG and behavioural data relating to the article by Manning et al. published in the journal, 'Behavioural and neural indices of perceptual decision-making in autistic children during visual motion tasks'. Many studies report atypical responses to sensory information in autistic individuals, yet it is not clear which stages of processing are affected, with little consideration given to decision-making processes. We combined diffusion modelling with high-density EEG to identify which processing stages differ between 50 autistic and 50 typically developing children aged 6-14 years during two visual motion tasks. Our pre-registered hypotheses were that autistic children would show task-dependent differences in sensory evidence accumulation, alongside a more cautious decision-making style and longer non-decision time across tasks. We tested these hypotheses using hierarchical Bayesian diffusion models with a rigorous blind modelling approach, finding no conclusive evidence for our hypotheses. Using a data-driven method, we identified a response-locked centro-parietal component previously linked to the decision-making process. The build-up in this component did not consistently relate to evidence accumulation in autistic children. This suggests that the relationship between the EEG measure and diffusion-modelling is not straightforward in autistic children. Compared to a related study of children with dyslexia, motion processing differences appear less pronounced in autistic children. Exploratory analyses also suggest weak evidence that ADHD symptoms moderate perceptual decision-making in autistic children.Autism affects social functioning and encompasses sensory symptoms such as aversion to sounds or fluorescent lights. It is not known why sensory symptoms occur. Previous research has overlooked the dynamic process leading to sensory responses, so we do not know the point at which differences arise. For example, whether a heightened...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
Not available
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Group
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
The sample included 50 autistic children and 50 typically developing children, aged 6 to 14 years. Participants were recruited from local schools, community contacts and invitations to families who participated in previous studies. Two experimental tasks were presented on a computer using MATLAB: a direction integration task and a motion coherence task. In both tasks, children were asked to judge the direction of motion as quickly and accurately as possible. EEG data were collected with a 128-electrode Hydrocel Geodesic Sensor Net connected to Net Amps 300 (Electrical Geodesics Inc., OR, USA), using NetStation 4.5 software. A photodiode attached to the monitor independently checked the timing of stimulus presentation. Children made their responses using a Cedrus RB-540 response box (Cedrus, CA, USA). For further details, please see the published manuscript.
Funding information
Grant number
204685/Z/16/Z
Access
Publisher
UK Data Service
Publication year
2022
Terms of data access
The Data Collection is available for download to users registered with the UK Data Service.