Journal article 1363 views
A multi-scale computational assessment of channel gating assumptions within the Meissner corpuscle
Journal of Biomechanics, Volume: 48, Issue: 1, Pages: 73 - 80
Swansea University Authors: Djordje Peric , Eduardo De Souza Neto , Wulf Dettmer
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.jbiomech.2014.11.003
Abstract
From the macroscopic mechanical deformation of skin to the feeling of touch is a chain of complex events whereby information is converted from one form to another between different scales. An important link in this chain is receptor activation, which requires incorporation of microanatomical, cellul...
Published in: | Journal of Biomechanics |
---|---|
ISSN: | 0021-9290 |
Published: |
2015
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa21453 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
first_indexed |
2015-05-17T02:02:55Z |
---|---|
last_indexed |
2020-12-19T03:35:15Z |
id |
cronfa21453 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2020-12-18T11:26:33.0705065</datestamp><bib-version>v2</bib-version><id>21453</id><entry>2015-05-16</entry><title>A multi-scale computational assessment of channel gating assumptions within the Meissner corpuscle</title><swanseaauthors><author><sid>9d35cb799b2542ad39140943a9a9da65</sid><ORCID>0000-0002-1112-301X</ORCID><firstname>Djordje</firstname><surname>Peric</surname><name>Djordje Peric</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>91568dee6643b7d350f0d5e8edb7b46a</sid><ORCID>0000-0002-9378-4590</ORCID><firstname>Eduardo</firstname><surname>De Souza Neto</surname><name>Eduardo De Souza Neto</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>30bb53ad906e7160e947fa01c16abf55</sid><ORCID>0000-0003-0799-4645</ORCID><firstname>Wulf</firstname><surname>Dettmer</surname><name>Wulf Dettmer</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2015-05-16</date><deptcode>CIVL</deptcode><abstract>From the macroscopic mechanical deformation of skin to the feeling of touch is a chain of complex events whereby information is converted from one form to another between different scales. An important link in this chain is receptor activation, which requires incorporation of microanatomical, cellular and ion channel transduction models. Of particular interest is the deformations at the axon membrane bi-layer, which are believed to be involved in mechanoelectrical signal transduction by activation of ion channels. We present a fully coupled multi-scale finite element analysis of the finger pad during tactile exploration, whereby the Meissner corpuscle, which is modeled as a single representative volume element (RVE) at the microscopic level, interacts with the macroscopic finger model. Maximum values of local stretching and compression occurring at the bi-layer are monitored for finger models with and without fingerprints, the presence of which generates a remarkable amplification of the signal. The contours of the surface being explored are well represented by the maximal peaks observed within the membrane.</abstract><type>Journal Article</type><journal>Journal of Biomechanics</journal><volume>48</volume><journalNumber>1</journalNumber><paginationStart>73</paginationStart><paginationEnd>80</paginationEnd><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0021-9290</issnPrint><issnElectronic/><keywords/><publishedDay>2</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-01-02</publishedDate><doi>10.1016/j.jbiomech.2014.11.003</doi><url/><notes/><college>COLLEGE NANME</college><department>Civil Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>CIVL</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-12-18T11:26:33.0705065</lastEdited><Created>2015-05-16T08:31:32.2471258</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering</level></path><authors><author><firstname>D.D.</firstname><surname>Somer</surname><order>1</order></author><author><firstname>Djordje</firstname><surname>Peric</surname><orcid>0000-0002-1112-301X</orcid><order>2</order></author><author><firstname>Eduardo</firstname><surname>De Souza Neto</surname><orcid>0000-0002-9378-4590</orcid><order>3</order></author><author><firstname>Wulf</firstname><surname>Dettmer</surname><orcid>0000-0003-0799-4645</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807> |
spelling |
2020-12-18T11:26:33.0705065 v2 21453 2015-05-16 A multi-scale computational assessment of channel gating assumptions within the Meissner corpuscle 9d35cb799b2542ad39140943a9a9da65 0000-0002-1112-301X Djordje Peric Djordje Peric true false 91568dee6643b7d350f0d5e8edb7b46a 0000-0002-9378-4590 Eduardo De Souza Neto Eduardo De Souza Neto true false 30bb53ad906e7160e947fa01c16abf55 0000-0003-0799-4645 Wulf Dettmer Wulf Dettmer true false 2015-05-16 CIVL From the macroscopic mechanical deformation of skin to the feeling of touch is a chain of complex events whereby information is converted from one form to another between different scales. An important link in this chain is receptor activation, which requires incorporation of microanatomical, cellular and ion channel transduction models. Of particular interest is the deformations at the axon membrane bi-layer, which are believed to be involved in mechanoelectrical signal transduction by activation of ion channels. We present a fully coupled multi-scale finite element analysis of the finger pad during tactile exploration, whereby the Meissner corpuscle, which is modeled as a single representative volume element (RVE) at the microscopic level, interacts with the macroscopic finger model. Maximum values of local stretching and compression occurring at the bi-layer are monitored for finger models with and without fingerprints, the presence of which generates a remarkable amplification of the signal. The contours of the surface being explored are well represented by the maximal peaks observed within the membrane. Journal Article Journal of Biomechanics 48 1 73 80 0021-9290 2 1 2015 2015-01-02 10.1016/j.jbiomech.2014.11.003 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2020-12-18T11:26:33.0705065 2015-05-16T08:31:32.2471258 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering D.D. Somer 1 Djordje Peric 0000-0002-1112-301X 2 Eduardo De Souza Neto 0000-0002-9378-4590 3 Wulf Dettmer 0000-0003-0799-4645 4 |
title |
A multi-scale computational assessment of channel gating assumptions within the Meissner corpuscle |
spellingShingle |
A multi-scale computational assessment of channel gating assumptions within the Meissner corpuscle Djordje Peric Eduardo De Souza Neto Wulf Dettmer |
title_short |
A multi-scale computational assessment of channel gating assumptions within the Meissner corpuscle |
title_full |
A multi-scale computational assessment of channel gating assumptions within the Meissner corpuscle |
title_fullStr |
A multi-scale computational assessment of channel gating assumptions within the Meissner corpuscle |
title_full_unstemmed |
A multi-scale computational assessment of channel gating assumptions within the Meissner corpuscle |
title_sort |
A multi-scale computational assessment of channel gating assumptions within the Meissner corpuscle |
author_id_str_mv |
9d35cb799b2542ad39140943a9a9da65 91568dee6643b7d350f0d5e8edb7b46a 30bb53ad906e7160e947fa01c16abf55 |
author_id_fullname_str_mv |
9d35cb799b2542ad39140943a9a9da65_***_Djordje Peric 91568dee6643b7d350f0d5e8edb7b46a_***_Eduardo De Souza Neto 30bb53ad906e7160e947fa01c16abf55_***_Wulf Dettmer |
author |
Djordje Peric Eduardo De Souza Neto Wulf Dettmer |
author2 |
D.D. Somer Djordje Peric Eduardo De Souza Neto Wulf Dettmer |
format |
Journal article |
container_title |
Journal of Biomechanics |
container_volume |
48 |
container_issue |
1 |
container_start_page |
73 |
publishDate |
2015 |
institution |
Swansea University |
issn |
0021-9290 |
doi_str_mv |
10.1016/j.jbiomech.2014.11.003 |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
document_store_str |
0 |
active_str |
0 |
description |
From the macroscopic mechanical deformation of skin to the feeling of touch is a chain of complex events whereby information is converted from one form to another between different scales. An important link in this chain is receptor activation, which requires incorporation of microanatomical, cellular and ion channel transduction models. Of particular interest is the deformations at the axon membrane bi-layer, which are believed to be involved in mechanoelectrical signal transduction by activation of ion channels. We present a fully coupled multi-scale finite element analysis of the finger pad during tactile exploration, whereby the Meissner corpuscle, which is modeled as a single representative volume element (RVE) at the microscopic level, interacts with the macroscopic finger model. Maximum values of local stretching and compression occurring at the bi-layer are monitored for finger models with and without fingerprints, the presence of which generates a remarkable amplification of the signal. The contours of the surface being explored are well represented by the maximal peaks observed within the membrane. |
published_date |
2015-01-02T03:25:27Z |
_version_ |
1763750893354745856 |
score |
11.037056 |