Potential movement biomarkers for autism in children and adolescents

Christiana Butera, Jonathan Delafield-Butt, Emily Kilroy, Laura Harrison, Anna Anzulewicz, Krzysiek Sobota, Lisa Aziz-Zadeh

Research output: Contribution to conferencePoster

Abstract

Background -- While social communication deficits are the hallmark of autism spectrum disorders (ASD), motor deficits are known to be common in this population as well. Recently, members of our research team showed that kinematic markers collected by playing a tablet game may be a promising biomarker for identification of ASD as compared to a typically developing population (TD) in children ages 3-6 years old (Anzulewicz et al, 2016). To our knowledge, no one has replicated this finding in an older population.

Purpose -- To replicate and extend previous findings of kinematic differences in children with ASD to an older population of children (9-14 years old).

Methods -- Four TD children and 5 children with ASD (aged 9-12) played an iPad drawing game (Anzulewicz et al, 2016) that measured gesture kinematics and gesture force using inertial sensors and touch screen touch displacements. 212 features were calculated from the inertial sensor and touch screen data (ibid). A Kolmogorov-Smirnov (K-S) test was run to identify motor features distinct between ASD and TD children.

Results -- K-S test identified seven significantly different features (JerkMagnitudeMax, JerkMin_y, JerkRange_y, AttitudeRange_y, RotationRMS_x, RotationStdDev_x, JerkZeroCrossing_x) between ASD and TD groups that represented differences in acceleration of finger movements and the displacement of the iPad during movements.

Conclusions -- Results demonstrated inertial movement sensor parameter differences are key identifiers between 8-12 year old ASD and TD children, common to children 3-6 years old. Contact forces and the distribution of forces during coloring may serve as important identifiers of ASD irrespective of age during childhood, while other parameters may be age-dependent.

Research Support NIH R01 (1R01HD079432-01A1)

Conference

ConferenceUniversity of Southern California Research Day 2017
CountryUnited States
CityLos Angeles
Period5/04/17 → …

Fingerprint

Autistic Disorder
Biomarkers
Population
Biomechanical Phenomena
Gestures
Nonparametric Statistics
Autism Spectrum Disorder
Touch
Population Groups
Tablets
Fingers
Communication
Research

Keywords

  • autism
  • movement biomarkers
  • children
  • ASD
  • childhood disabilities
  • kinematic markers

Cite this

Butera, C., Delafield-Butt, J., Kilroy, E., Harrison, L., Anzulewicz, A., Sobota, K., & Aziz-Zadeh, L. (2017). Potential movement biomarkers for autism in children and adolescents. Poster session presented at University of Southern California Research Day 2017, Los Angeles, United States.
Butera, Christiana ; Delafield-Butt, Jonathan ; Kilroy, Emily ; Harrison, Laura ; Anzulewicz, Anna ; Sobota, Krzysiek ; Aziz-Zadeh, Lisa. / Potential movement biomarkers for autism in children and adolescents. Poster session presented at University of Southern California Research Day 2017, Los Angeles, United States.
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title = "Potential movement biomarkers for autism in children and adolescents",
abstract = "Background -- While social communication deficits are the hallmark of autism spectrum disorders (ASD), motor deficits are known to be common in this population as well. Recently, members of our research team showed that kinematic markers collected by playing a tablet game may be a promising biomarker for identification of ASD as compared to a typically developing population (TD) in children ages 3-6 years old (Anzulewicz et al, 2016). To our knowledge, no one has replicated this finding in an older population. Purpose -- To replicate and extend previous findings of kinematic differences in children with ASD to an older population of children (9-14 years old). Methods -- Four TD children and 5 children with ASD (aged 9-12) played an iPad drawing game (Anzulewicz et al, 2016) that measured gesture kinematics and gesture force using inertial sensors and touch screen touch displacements. 212 features were calculated from the inertial sensor and touch screen data (ibid). A Kolmogorov-Smirnov (K-S) test was run to identify motor features distinct between ASD and TD children.Results -- K-S test identified seven significantly different features (JerkMagnitudeMax, JerkMin_y, JerkRange_y, AttitudeRange_y, RotationRMS_x, RotationStdDev_x, JerkZeroCrossing_x) between ASD and TD groups that represented differences in acceleration of finger movements and the displacement of the iPad during movements.Conclusions -- Results demonstrated inertial movement sensor parameter differences are key identifiers between 8-12 year old ASD and TD children, common to children 3-6 years old. Contact forces and the distribution of forces during coloring may serve as important identifiers of ASD irrespective of age during childhood, while other parameters may be age-dependent.Research Support NIH R01 (1R01HD079432-01A1)",
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author = "Christiana Butera and Jonathan Delafield-Butt and Emily Kilroy and Laura Harrison and Anna Anzulewicz and Krzysiek Sobota and Lisa Aziz-Zadeh",
note = "Poster #118.; University of Southern California Research Day 2017 ; Conference date: 05-04-2017",
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Butera, C, Delafield-Butt, J, Kilroy, E, Harrison, L, Anzulewicz, A, Sobota, K & Aziz-Zadeh, L 2017, 'Potential movement biomarkers for autism in children and adolescents' University of Southern California Research Day 2017, Los Angeles, United States, 5/04/17, .

Potential movement biomarkers for autism in children and adolescents. / Butera, Christiana; Delafield-Butt, Jonathan; Kilroy, Emily; Harrison, Laura; Anzulewicz, Anna; Sobota, Krzysiek; Aziz-Zadeh, Lisa.

2017. Poster session presented at University of Southern California Research Day 2017, Los Angeles, United States.

Research output: Contribution to conferencePoster

TY - CONF

T1 - Potential movement biomarkers for autism in children and adolescents

AU - Butera, Christiana

AU - Delafield-Butt, Jonathan

AU - Kilroy, Emily

AU - Harrison, Laura

AU - Anzulewicz, Anna

AU - Sobota, Krzysiek

AU - Aziz-Zadeh, Lisa

N1 - Poster #118.

PY - 2017/4/5

Y1 - 2017/4/5

N2 - Background -- While social communication deficits are the hallmark of autism spectrum disorders (ASD), motor deficits are known to be common in this population as well. Recently, members of our research team showed that kinematic markers collected by playing a tablet game may be a promising biomarker for identification of ASD as compared to a typically developing population (TD) in children ages 3-6 years old (Anzulewicz et al, 2016). To our knowledge, no one has replicated this finding in an older population. Purpose -- To replicate and extend previous findings of kinematic differences in children with ASD to an older population of children (9-14 years old). Methods -- Four TD children and 5 children with ASD (aged 9-12) played an iPad drawing game (Anzulewicz et al, 2016) that measured gesture kinematics and gesture force using inertial sensors and touch screen touch displacements. 212 features were calculated from the inertial sensor and touch screen data (ibid). A Kolmogorov-Smirnov (K-S) test was run to identify motor features distinct between ASD and TD children.Results -- K-S test identified seven significantly different features (JerkMagnitudeMax, JerkMin_y, JerkRange_y, AttitudeRange_y, RotationRMS_x, RotationStdDev_x, JerkZeroCrossing_x) between ASD and TD groups that represented differences in acceleration of finger movements and the displacement of the iPad during movements.Conclusions -- Results demonstrated inertial movement sensor parameter differences are key identifiers between 8-12 year old ASD and TD children, common to children 3-6 years old. Contact forces and the distribution of forces during coloring may serve as important identifiers of ASD irrespective of age during childhood, while other parameters may be age-dependent.Research Support NIH R01 (1R01HD079432-01A1)

AB - Background -- While social communication deficits are the hallmark of autism spectrum disorders (ASD), motor deficits are known to be common in this population as well. Recently, members of our research team showed that kinematic markers collected by playing a tablet game may be a promising biomarker for identification of ASD as compared to a typically developing population (TD) in children ages 3-6 years old (Anzulewicz et al, 2016). To our knowledge, no one has replicated this finding in an older population. Purpose -- To replicate and extend previous findings of kinematic differences in children with ASD to an older population of children (9-14 years old). Methods -- Four TD children and 5 children with ASD (aged 9-12) played an iPad drawing game (Anzulewicz et al, 2016) that measured gesture kinematics and gesture force using inertial sensors and touch screen touch displacements. 212 features were calculated from the inertial sensor and touch screen data (ibid). A Kolmogorov-Smirnov (K-S) test was run to identify motor features distinct between ASD and TD children.Results -- K-S test identified seven significantly different features (JerkMagnitudeMax, JerkMin_y, JerkRange_y, AttitudeRange_y, RotationRMS_x, RotationStdDev_x, JerkZeroCrossing_x) between ASD and TD groups that represented differences in acceleration of finger movements and the displacement of the iPad during movements.Conclusions -- Results demonstrated inertial movement sensor parameter differences are key identifiers between 8-12 year old ASD and TD children, common to children 3-6 years old. Contact forces and the distribution of forces during coloring may serve as important identifiers of ASD irrespective of age during childhood, while other parameters may be age-dependent.Research Support NIH R01 (1R01HD079432-01A1)

KW - autism

KW - movement biomarkers

KW - children

KW - ASD

KW - childhood disabilities

KW - kinematic markers

M3 - Poster

ER -

Butera C, Delafield-Butt J, Kilroy E, Harrison L, Anzulewicz A, Sobota K et al. Potential movement biomarkers for autism in children and adolescents. 2017. Poster session presented at University of Southern California Research Day 2017, Los Angeles, United States.