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Identifying the signature of prospective motor control in children with autism

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Identifying the signature of prospective motor control in children with autism. / Cavallo, Andrea; Romeo, Luca; Ansuini, Caterina; Battaglia, Francesca; Nobili, Lino; Pontil, Massimiliano; Panzeri, Stefano; Becchio, Cristina.

in: SCI REP-UK, Jahrgang 11, Nr. 1, 3165, 04.02.2021.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Cavallo, A, Romeo, L, Ansuini, C, Battaglia, F, Nobili, L, Pontil, M, Panzeri, S & Becchio, C 2021, 'Identifying the signature of prospective motor control in children with autism', SCI REP-UK, Jg. 11, Nr. 1, 3165. https://doi.org/10.1038/s41598-021-82374-2

APA

Cavallo, A., Romeo, L., Ansuini, C., Battaglia, F., Nobili, L., Pontil, M., Panzeri, S., & Becchio, C. (2021). Identifying the signature of prospective motor control in children with autism. SCI REP-UK, 11(1), [3165]. https://doi.org/10.1038/s41598-021-82374-2

Vancouver

Cavallo A, Romeo L, Ansuini C, Battaglia F, Nobili L, Pontil M et al. Identifying the signature of prospective motor control in children with autism. SCI REP-UK. 2021 Feb 4;11(1). 3165. https://doi.org/10.1038/s41598-021-82374-2

Bibtex

@article{a92d2caa36e94c499d7fa7419759b813,
title = "Identifying the signature of prospective motor control in children with autism",
abstract = "Failure to develop prospective motor control has been proposed to be a core phenotypic marker of autism spectrum disorders (ASD). However, whether genuine differences in prospective motor control permit discriminating between ASD and non-ASD profiles over and above individual differences in motor output remains unclear. Here, we combined high precision measures of hand movement kinematics and rigorous machine learning analyses to determine the true power of prospective movement data to differentiate children with autism and typically developing children. Our results show that while movement is unique to each individual, variations in the kinematic patterning of sequential grasping movements genuinely differentiate children with autism from typically developing children. These findings provide quantitative evidence for a prospective motor control impairment in autism and indicate the potential to draw inferences about autism on the basis of movement kinematics.",
author = "Andrea Cavallo and Luca Romeo and Caterina Ansuini and Francesca Battaglia and Lino Nobili and Massimiliano Pontil and Stefano Panzeri and Cristina Becchio",
year = "2021",
month = feb,
day = "4",
doi = "10.1038/s41598-021-82374-2",
language = "English",
volume = "11",
journal = "SCI REP-UK",
issn = "2045-2322",
publisher = "NATURE PUBLISHING GROUP",
number = "1",

}

RIS

TY - JOUR

T1 - Identifying the signature of prospective motor control in children with autism

AU - Cavallo, Andrea

AU - Romeo, Luca

AU - Ansuini, Caterina

AU - Battaglia, Francesca

AU - Nobili, Lino

AU - Pontil, Massimiliano

AU - Panzeri, Stefano

AU - Becchio, Cristina

PY - 2021/2/4

Y1 - 2021/2/4

N2 - Failure to develop prospective motor control has been proposed to be a core phenotypic marker of autism spectrum disorders (ASD). However, whether genuine differences in prospective motor control permit discriminating between ASD and non-ASD profiles over and above individual differences in motor output remains unclear. Here, we combined high precision measures of hand movement kinematics and rigorous machine learning analyses to determine the true power of prospective movement data to differentiate children with autism and typically developing children. Our results show that while movement is unique to each individual, variations in the kinematic patterning of sequential grasping movements genuinely differentiate children with autism from typically developing children. These findings provide quantitative evidence for a prospective motor control impairment in autism and indicate the potential to draw inferences about autism on the basis of movement kinematics.

AB - Failure to develop prospective motor control has been proposed to be a core phenotypic marker of autism spectrum disorders (ASD). However, whether genuine differences in prospective motor control permit discriminating between ASD and non-ASD profiles over and above individual differences in motor output remains unclear. Here, we combined high precision measures of hand movement kinematics and rigorous machine learning analyses to determine the true power of prospective movement data to differentiate children with autism and typically developing children. Our results show that while movement is unique to each individual, variations in the kinematic patterning of sequential grasping movements genuinely differentiate children with autism from typically developing children. These findings provide quantitative evidence for a prospective motor control impairment in autism and indicate the potential to draw inferences about autism on the basis of movement kinematics.

U2 - 10.1038/s41598-021-82374-2

DO - 10.1038/s41598-021-82374-2

M3 - SCORING: Journal article

C2 - 33542311

VL - 11

JO - SCI REP-UK

JF - SCI REP-UK

SN - 2045-2322

IS - 1

M1 - 3165

ER -