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Populations Norms for “SLURP”—An iPad App for Quantification of Visuomotor Coordination Testing

Currently the integrity of brain function that drives behavior is predominantly measured in terms of pure motor function, yet most human behavior is visually driven. A means of easily quantifying such visually-driven brain function for comparison against population norms is lacking. Analysis of eye-...

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Detalles Bibliográficos
Autores principales: Junghans, Barbara M., Khuu, Sieu K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636550/
https://www.ncbi.nlm.nih.gov/pubmed/31354420
http://dx.doi.org/10.3389/fnins.2019.00711
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author Junghans, Barbara M.
Khuu, Sieu K.
author_facet Junghans, Barbara M.
Khuu, Sieu K.
author_sort Junghans, Barbara M.
collection PubMed
description Currently the integrity of brain function that drives behavior is predominantly measured in terms of pure motor function, yet most human behavior is visually driven. A means of easily quantifying such visually-driven brain function for comparison against population norms is lacking. Analysis of eye-hand coordination (EHC) using a digital game-like situation with downloadable spatio-temporal details has potential for clinicians and researchers. A simplified protocol for the Lee-Ryan EHC (Slurp) Test app for iPad® has been developed to monitor EHC. The two subtests selected, each of six quickly completed items with appeal to all ages, were found equivalent in terms of total errors/time and sensitive to developmental and aging milestones known to affect EHC. The sensitivity of outcomes due to the type of stylus being used during testing was also explored. Populations norms on 221 participants aged 5 to 80(+)years are presented for each test item according to two commonly used stylus types. The Slurp app uses two-dimensional space and is suited to clinicians for pre/post-intervention testing and to researchers in psychological, medical, and educational domains who are interested in understanding brain function.
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spelling pubmed-66365502019-07-26 Populations Norms for “SLURP”—An iPad App for Quantification of Visuomotor Coordination Testing Junghans, Barbara M. Khuu, Sieu K. Front Neurosci Neuroscience Currently the integrity of brain function that drives behavior is predominantly measured in terms of pure motor function, yet most human behavior is visually driven. A means of easily quantifying such visually-driven brain function for comparison against population norms is lacking. Analysis of eye-hand coordination (EHC) using a digital game-like situation with downloadable spatio-temporal details has potential for clinicians and researchers. A simplified protocol for the Lee-Ryan EHC (Slurp) Test app for iPad® has been developed to monitor EHC. The two subtests selected, each of six quickly completed items with appeal to all ages, were found equivalent in terms of total errors/time and sensitive to developmental and aging milestones known to affect EHC. The sensitivity of outcomes due to the type of stylus being used during testing was also explored. Populations norms on 221 participants aged 5 to 80(+)years are presented for each test item according to two commonly used stylus types. The Slurp app uses two-dimensional space and is suited to clinicians for pre/post-intervention testing and to researchers in psychological, medical, and educational domains who are interested in understanding brain function. Frontiers Media S.A. 2019-07-10 /pmc/articles/PMC6636550/ /pubmed/31354420 http://dx.doi.org/10.3389/fnins.2019.00711 Text en Copyright © 2019 Junghans and Khuu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Junghans, Barbara M.
Khuu, Sieu K.
Populations Norms for “SLURP”—An iPad App for Quantification of Visuomotor Coordination Testing
title Populations Norms for “SLURP”—An iPad App for Quantification of Visuomotor Coordination Testing
title_full Populations Norms for “SLURP”—An iPad App for Quantification of Visuomotor Coordination Testing
title_fullStr Populations Norms for “SLURP”—An iPad App for Quantification of Visuomotor Coordination Testing
title_full_unstemmed Populations Norms for “SLURP”—An iPad App for Quantification of Visuomotor Coordination Testing
title_short Populations Norms for “SLURP”—An iPad App for Quantification of Visuomotor Coordination Testing
title_sort populations norms for “slurp”—an ipad app for quantification of visuomotor coordination testing
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636550/
https://www.ncbi.nlm.nih.gov/pubmed/31354420
http://dx.doi.org/10.3389/fnins.2019.00711
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