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...
Autores principales: | , , , , , , , |
---|---|
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 |