Cargando…

Brain networks involved in tactile speed classification of moving dot patterns: the effects of speed and dot periodicity

Humans are able to judge the speed of an object’s motion by touch. Research has suggested that tactile judgment of speed is influenced by physical properties of the moving object, though the neural mechanisms underlying this process remain poorly understood. In the present study, functional magnetic...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Jiajia, Kitada, Ryo, Kochiyama, Takanori, Yu, Yinghua, Makita, Kai, Araki, Yuta, Wu, Jinglong, Sadato, Norihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5286508/
https://www.ncbi.nlm.nih.gov/pubmed/28145505
http://dx.doi.org/10.1038/srep40931
_version_ 1782504015163031552
author Yang, Jiajia
Kitada, Ryo
Kochiyama, Takanori
Yu, Yinghua
Makita, Kai
Araki, Yuta
Wu, Jinglong
Sadato, Norihiro
author_facet Yang, Jiajia
Kitada, Ryo
Kochiyama, Takanori
Yu, Yinghua
Makita, Kai
Araki, Yuta
Wu, Jinglong
Sadato, Norihiro
author_sort Yang, Jiajia
collection PubMed
description Humans are able to judge the speed of an object’s motion by touch. Research has suggested that tactile judgment of speed is influenced by physical properties of the moving object, though the neural mechanisms underlying this process remain poorly understood. In the present study, functional magnetic resonance imaging was used to investigate brain networks that may be involved in tactile speed classification and how such networks may be affected by an object’s texture. Participants were asked to classify the speed of 2-D raised dot patterns passing under their right middle finger. Activity in the parietal operculum, insula, and inferior and superior frontal gyri was positively related to the motion speed of dot patterns. Activity in the postcentral gyrus and superior parietal lobule was sensitive to dot periodicity. Psycho-physiological interaction (PPI) analysis revealed that dot periodicity modulated functional connectivity between the parietal operculum (related to speed) and postcentral gyrus (related to dot periodicity). These results suggest that texture-sensitive activity in the primary somatosensory cortex and superior parietal lobule influences brain networks associated with tactually-extracted motion speed. Such effects may be related to the influence of surface texture on tactile speed judgment.
format Online
Article
Text
id pubmed-5286508
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-52865082017-02-06 Brain networks involved in tactile speed classification of moving dot patterns: the effects of speed and dot periodicity Yang, Jiajia Kitada, Ryo Kochiyama, Takanori Yu, Yinghua Makita, Kai Araki, Yuta Wu, Jinglong Sadato, Norihiro Sci Rep Article Humans are able to judge the speed of an object’s motion by touch. Research has suggested that tactile judgment of speed is influenced by physical properties of the moving object, though the neural mechanisms underlying this process remain poorly understood. In the present study, functional magnetic resonance imaging was used to investigate brain networks that may be involved in tactile speed classification and how such networks may be affected by an object’s texture. Participants were asked to classify the speed of 2-D raised dot patterns passing under their right middle finger. Activity in the parietal operculum, insula, and inferior and superior frontal gyri was positively related to the motion speed of dot patterns. Activity in the postcentral gyrus and superior parietal lobule was sensitive to dot periodicity. Psycho-physiological interaction (PPI) analysis revealed that dot periodicity modulated functional connectivity between the parietal operculum (related to speed) and postcentral gyrus (related to dot periodicity). These results suggest that texture-sensitive activity in the primary somatosensory cortex and superior parietal lobule influences brain networks associated with tactually-extracted motion speed. Such effects may be related to the influence of surface texture on tactile speed judgment. Nature Publishing Group 2017-02-01 /pmc/articles/PMC5286508/ /pubmed/28145505 http://dx.doi.org/10.1038/srep40931 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Yang, Jiajia
Kitada, Ryo
Kochiyama, Takanori
Yu, Yinghua
Makita, Kai
Araki, Yuta
Wu, Jinglong
Sadato, Norihiro
Brain networks involved in tactile speed classification of moving dot patterns: the effects of speed and dot periodicity
title Brain networks involved in tactile speed classification of moving dot patterns: the effects of speed and dot periodicity
title_full Brain networks involved in tactile speed classification of moving dot patterns: the effects of speed and dot periodicity
title_fullStr Brain networks involved in tactile speed classification of moving dot patterns: the effects of speed and dot periodicity
title_full_unstemmed Brain networks involved in tactile speed classification of moving dot patterns: the effects of speed and dot periodicity
title_short Brain networks involved in tactile speed classification of moving dot patterns: the effects of speed and dot periodicity
title_sort brain networks involved in tactile speed classification of moving dot patterns: the effects of speed and dot periodicity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5286508/
https://www.ncbi.nlm.nih.gov/pubmed/28145505
http://dx.doi.org/10.1038/srep40931
work_keys_str_mv AT yangjiajia brainnetworksinvolvedintactilespeedclassificationofmovingdotpatternstheeffectsofspeedanddotperiodicity
AT kitadaryo brainnetworksinvolvedintactilespeedclassificationofmovingdotpatternstheeffectsofspeedanddotperiodicity
AT kochiyamatakanori brainnetworksinvolvedintactilespeedclassificationofmovingdotpatternstheeffectsofspeedanddotperiodicity
AT yuyinghua brainnetworksinvolvedintactilespeedclassificationofmovingdotpatternstheeffectsofspeedanddotperiodicity
AT makitakai brainnetworksinvolvedintactilespeedclassificationofmovingdotpatternstheeffectsofspeedanddotperiodicity
AT arakiyuta brainnetworksinvolvedintactilespeedclassificationofmovingdotpatternstheeffectsofspeedanddotperiodicity
AT wujinglong brainnetworksinvolvedintactilespeedclassificationofmovingdotpatternstheeffectsofspeedanddotperiodicity
AT sadatonorihiro brainnetworksinvolvedintactilespeedclassificationofmovingdotpatternstheeffectsofspeedanddotperiodicity