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The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics

Unconstrained day-to-day activities are difficult to quantify and how the corresponding movements shape the brain remain unclear. Here, we recorded all touchscreen smartphone interactions at a sub-second precision and show that the unconstrained day-to-day behavior captured on the phone reflects in...

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Detalles Bibliográficos
Autores principales: Balerna, Myriam, Ghosh, Arko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548339/
https://www.ncbi.nlm.nih.gov/pubmed/31304290
http://dx.doi.org/10.1038/s41746-017-0011-3
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author Balerna, Myriam
Ghosh, Arko
author_facet Balerna, Myriam
Ghosh, Arko
author_sort Balerna, Myriam
collection PubMed
description Unconstrained day-to-day activities are difficult to quantify and how the corresponding movements shape the brain remain unclear. Here, we recorded all touchscreen smartphone interactions at a sub-second precision and show that the unconstrained day-to-day behavior captured on the phone reflects in the simple sensorimotor computations measured in the laboratory. The behavioral diversity on the phone, the speed of interactions, the amount of social & non-social interactions, all uniquely influenced the trial-to-trial motor variability used to measure the amount of intrinsic neuronal noise. Surprisingly, both the motor performance and the early somatosensory cortical signals (assessed using EEG in passive conditions) became noisier with increased social interactions. Inter-individual differences in how people use the smartphone can help thus decompose the structure of low-level sensorimotor computations.
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spelling pubmed-65483392019-07-12 The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics Balerna, Myriam Ghosh, Arko NPJ Digit Med Brief Communication Unconstrained day-to-day activities are difficult to quantify and how the corresponding movements shape the brain remain unclear. Here, we recorded all touchscreen smartphone interactions at a sub-second precision and show that the unconstrained day-to-day behavior captured on the phone reflects in the simple sensorimotor computations measured in the laboratory. The behavioral diversity on the phone, the speed of interactions, the amount of social & non-social interactions, all uniquely influenced the trial-to-trial motor variability used to measure the amount of intrinsic neuronal noise. Surprisingly, both the motor performance and the early somatosensory cortical signals (assessed using EEG in passive conditions) became noisier with increased social interactions. Inter-individual differences in how people use the smartphone can help thus decompose the structure of low-level sensorimotor computations. Nature Publishing Group UK 2018-03-07 /pmc/articles/PMC6548339/ /pubmed/31304290 http://dx.doi.org/10.1038/s41746-017-0011-3 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Brief Communication
Balerna, Myriam
Ghosh, Arko
The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics
title The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics
title_full The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics
title_fullStr The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics
title_full_unstemmed The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics
title_short The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics
title_sort details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548339/
https://www.ncbi.nlm.nih.gov/pubmed/31304290
http://dx.doi.org/10.1038/s41746-017-0011-3
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