Linking movement execution and perception in Autism Spectrum Disorder

Linking movement execution and perception in Autism Spectrum Disorder - Atypical movement and perception in ASD

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON46081

Enrollment

Registered

2019-01-17

Start date

2019-03-01

Completion date

Unknown

Last updated

2024-04-15

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

Conditions

Autism Spectrum Disoder

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: Age 18-40, IQ > 85, right-handed, normal or corrected-to-normal vision.

Exclusion criteria

Exclusion criteria: History of (neuro-)psychiatric disorders, brain surgery or brain trauma; use of anti-psychotic medication. For neuroimaging experiment: metal objects in the body that cannot be removed, such as pacemakers or metal prostheses, claustrophobia or panic in the scanner.

Design outcomes

Primary

Measure	Time frame
Production Experiment Executed kinematics will be quantitatively measured using the Microsoft Kinect, which captures multi-joint, 3-dimensional movement of the upper body. The following kinematic features will be calculated for each of the executed acts, using Kinect data processing scripts developed in our previous study [1]: • Vertical Amplitude (greatest vertical height achieved by either hand), • Holdtime (amount of time without significant movement, during the main act), • Peak Velocity (measured from the right hand), • Submovements (number of individual movements made by the right hand). As participants will perform each act multiple times, we can calculate the mean and standard deviation for the kinematics of each act, for each individual participant. Typicality of a gesture will also be assessed to determine to what extent individuals with ASD execute these gestures differently from typical individuals. fMRI Experiment: Stick-light figures were generated from the Kinect motion capture data acquired in our earlier study [1] and will be the source of the stimuli . Observed kinematics are those captured in a previous study, during which the stimuli were created. The same kinematic features will be used, allowing direct comparison. For the fMRI analysis, the main study parameter will be the blood-oxygen level dependent (BOLD) MRI signal as modelled while participants perform a semantic comprehension task. This will be used to calculate network connectivity measures.	—

Measure

Time frame

Production Experiment Executed kinematics will be quantitatively measured using the Microsoft Kinect, which captures multi-joint, 3-dimensional movement of the upper body. The following kinematic features will be calculated for each of the executed acts, using Kinect data processing scripts developed in our previous study [1]: • Vertical Amplitude (greatest vertical height achieved by either hand), • Holdtime (amount of time without significant movement, during the main act), • Peak Velocity (measured from the right hand), • Submovements (number of individual movements made by the right hand). As participants will perform each act multiple times, we can calculate the mean and standard deviation for the kinematics of each act, for each individual participant. Typicality of a gesture will also be assessed to determine to what extent individuals with ASD execute these gestures differently from typical individuals. fMRI Experiment: Stick-light figures were generated from the Kinect motion capture data acquired in our earlier study [1] and will be the source of the stimuli . Observed kinematics are those captured in a previous study, during which the stimuli were created. The same kinematic features will be used, allowing direct comparison. For the fMRI analysis, the main study parameter will be the blood-oxygen level dependent (BOLD) MRI signal as modelled while participants perform a semantic comprehension task. This will be used to calculate network connectivity measures.

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Secondary

Measure	Time frame
We will collect questionnaire data from the Actions and Feelings Questionnaire to assess social motor cognition. We will carry out the Purdue Pegboard Test to assess general motor coordination. These data will be collected in order to determine whether action recognition performance can be explained better by kinematics or by general social and motor impairment. They will also be used to characterize the two groups.	—

Measure

Time frame

We will collect questionnaire data from the Actions and Feelings Questionnaire to assess social motor cognition. We will carry out the Purdue Pegboard Test to assess general motor coordination. These data will be collected in order to determine whether action recognition performance can be explained better by kinematics or by general social and motor impairment. They will also be used to characterize the two groups.

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Countries

Netherlands

Outcome results