Literature DB >> 30724588

Kinematic analysis of fast pen strokes in children with ADHD.

Patricia Laniel1, Nadir Faci2, Réjean Plamondon2, Miriam H Beauchamp3, Bruno Gauthier1.   

Abstract

In this study, we aimed to determine whether a new measure of fine motor skills, the Pen Stroke Test (PST), can discriminate between children with and without attention-deficit/hyperactivity disorder (ADHD). Twelve children with ADHD and 12 controls age 8-11 were asked to produce handwriting strokes on a digitizer. The sigma-lognormal model derived from the Kinematic Theory of rapid human movements was used to analyze the strokes. Standard measurements of fine motor skills and handwriting were also obtained. Children with ADHD demonstrated poorer motor planning (t0, D) and execution (nbLog) and greater variability in motor control (SNR/nbLog) than did controls. Parameters extracted from the PST were significantly correlated with performance on other motor and handwriting measures. This study provides preliminary evidence that the PST may be useful as a tool for rapidly detecting motor skill problems in the context of ADHD.

Entities:  

Keywords:  ADHD; Kinematic Theory of rapid human movements; Sigma-lognormal model; children; fine motor control; handwriting; kinematic analysis

Year:  2019        PMID: 30724588     DOI: 10.1080/21622965.2018.1550402

Source DB:  PubMed          Journal:  Appl Neuropsychol Child        ISSN: 2162-2965            Impact factor:   1.493


  2 in total

1.  Central and Peripheral Shoulder Fatigue Pre-screening Using the Sigma-Lognormal Model: A Proof of Concept.

Authors:  Anaïs Laurent; Réjean Plamondon; Mickael Begon
Journal:  Front Hum Neurosci       Date:  2020-05-19       Impact factor: 3.169

2.  Handwriting in children with Attention Deficient Hyperactive Disorder: role of graphology.

Authors:  Rony Cohen; Batia Cohen-Kroitoru; Ayelet Halevy; Sharon Aharoni; Irena Aizenberg; Avinoam Shuper
Journal:  BMC Pediatr       Date:  2019-12-10       Impact factor: 2.125

  2 in total

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