Literature DB >> 35846621

Assessing Sensorimotor Synchronisation in Toddlers Using the Lookit Online Experiment Platform and Automated Movement Extraction.

Sinead Rocha1,2, Caspar Addyman3.   

Abstract

Adapting gross motor movement to match the tempo of auditory rhythmic stimulation (sensorimotor synchronisation; SMS) is a complex skill with a long developmental trajectory. Drumming tasks have previously been employed with infants and young children to measure the emergence of rhythmic entrainment, and may provide a tool for identification of those with atypical rhythm perception and production. Here we describe a new protocol for measuring infant rhythmic movement that can be employed at scale. In the current study, 50 two-year-olds drummed along with the audiovisual presentation of four steady rhythms, using videos of isochronous drumming at 400, 500, 600, and 700 ms IOI, and provided their spontaneous motor tempo (SMT) by drumming in silence. Toddlers' drumming is observed from video recordings made in participants' own homes, obtained via the Lookit platform for online infant studies. We use OpenPose deep-learning model to generate wireframe estimates of hand and body location for each video. The vertical displacement of the hand was extracted, and the power and frequency of infants' rhythmic entrainment quantified using Fast Fourier Transforms. We find evidence for age-appropriate tempo-flexibility in our sample. Our results demonstrate the feasibility of a fully digital approach to measuring rhythmic entrainment from within the participant's home, from early in development.
Copyright © 2022 Rocha and Addyman.

Entities:  

Keywords:  Lookit; OpenPose; automated movement analysis; development; infancy; machine learning; sensorimotor synchronisation

Year:  2022        PMID: 35846621      PMCID: PMC9282044          DOI: 10.3389/fpsyg.2022.897230

Source DB:  PubMed          Journal:  Front Psychol        ISSN: 1664-1078


  27 in total

1.  Rhythmic processing in children with developmental dyslexia: auditory and motor rhythms link to reading and spelling.

Authors:  Jennifer M Thomson; Usha Goswami
Journal:  J Physiol Paris       Date:  2008-03-18

2.  Tapping to a beat in synchrony predicts brain print sensitivity in pre-readers.

Authors:  Paula Ríos-López; Nicola Molinaro; Marie Lallier
Journal:  Brain Lang       Date:  2019-09-17       Impact factor: 2.381

3.  The music perception performance of children with and without dyslexia in Taiwan.

Authors:  Hom-Yi Lee; Yung-Siang Sie; Sz-Chi Chen; Man-Chen Cheng
Journal:  Psychol Rep       Date:  2015-02-04

4.  Delta- and theta-band cortical tracking and phase-amplitude coupling to sung speech by infants.

Authors:  Adam Attaheri; Áine Ní Choisdealbha; Giovanni M Di Liberto; Sinead Rocha; Perrine Brusini; Natasha Mead; Helen Olawole-Scott; Panagiotis Boutris; Samuel Gibbon; Isabel Williams; Christina Grey; Sheila Flanagan; Usha Goswami
Journal:  Neuroimage       Date:  2021-11-16       Impact factor: 6.556

Review 5.  Rhythm and timing as vulnerabilities in neurodevelopmental disorders.

Authors:  Miriam D Lense; Eniko Ladányi; Tal-Chen Rabinowitch; Laurel Trainor; Reyna Gordon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-08-23       Impact factor: 6.671

6.  Joint drumming: social context facilitates synchronization in preschool children.

Authors:  Sebastian Kirschner; Michael Tomasello
Journal:  J Exp Child Psychol       Date:  2008-09-12

7.  Video-based tracking approach for nonverbal synchrony: A comparison of Motion Energy Analysis and OpenPose.

Authors:  K Fujiwara; K Yokomitsu
Journal:  Behav Res Methods       Date:  2021-05-23

8.  Born to Speak and Sing: Musical Predictors of Language Development in Pre-schoolers.

Authors:  Nina Politimou; Simone Dalla Bella; Nicolas Farrugia; Fabia Franco
Journal:  Front Psychol       Date:  2019-05-24

9.  Precursors of dancing and singing to music in three- to four-months-old infants.

Authors:  Shinya Fujii; Hama Watanabe; Hiroki Oohashi; Masaya Hirashima; Daichi Nozaki; Gentaro Taga
Journal:  PLoS One       Date:  2014-05-16       Impact factor: 3.240

Review 10.  Is atypical rhythm a risk factor for developmental speech and language disorders?

Authors:  Enikő Ladányi; Valentina Persici; Anna Fiveash; Barbara Tillmann; Reyna L Gordon
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2020-04-03
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