Action Prediction in Autism Spectrum Disorders

Action Prediction in Autism Spectrum Disorders - Action Prediction Autism

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON40834

Enrollment

Registered

2015-04-08

Start date

2017-05-04

Completion date

Unknown

Last updated

2024-04-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Autism Autism Spectrum Disorder

Interventions

None listed

Eligibility

Age

12 Years to 17 Years

Inclusion criteria

Inclusion criteria: - right-handed, between 12 and 18 years old, IQ higher than 80 - Autism group: clinical diagnosis of autism spectrum disorder

Exclusion criteria

Exclusion criteria: - psychiatric (co-)morbidity, history of epilepsy, visual impairments

Design outcomes

Primary

Measure	Time frame
Based on previous findings, we expect that healthy controls predict the different action steps of the presented action sequences and that their predictions become faster for the later action steps, reflecting the integration of the contextual information. For the ASD group on the other hand, we expect to see less predictions and no improvement for the last action steps, reflecting a prediction difficulty and a deficit in integration of information as suggested by previous literature. In addition, we expect to find group differences in neural connectivity, measured by means of EEG coherence analysis. In addition, we aim to explore changes in EEG coherence related to action prediction and finally assess group differences.	—

Measure

Time frame

Based on previous findings, we expect that healthy controls predict the different action steps of the presented action sequences and that their predictions become faster for the later action steps, reflecting the integration of the contextual information. For the ASD group on the other hand, we expect to see less predictions and no improvement for the last action steps, reflecting a prediction difficulty and a deficit in integration of information as suggested by previous literature. In addition, we expect to find group differences in neural connectivity, measured by means of EEG coherence analysis. In addition, we aim to explore changes in EEG coherence related to action prediction and finally assess group differences.

—

Secondary

Measure	Time frame
Behavioural task performance during the EEG-ET task will be used assess the compliance of the participants and ensure both groups were equally able to perform the task. Age, AQ, IQ, and gender will be taken into consideration as covariates in the statistical tests.	—

Countries

Netherlands

Outcome results