Influence of variable nerve fibre geometry on the excitation and blocking threshold. A simulation study
The aim of the study was to investigate how variable fibre geometry influences the excitation and blocking threshold of an undulating peripheral nerve fibre. The sensitivity of the excitation and blocking thresholds of the nerve fibres to various geometric and stimulation parameters was examined. Th...
Gespeichert in:
Veröffentlicht in: | Medical & biological engineering & computing 2005-05, Vol.43 (3), p.365-374 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 374 |
---|---|
container_issue | 3 |
container_start_page | 365 |
container_title | Medical & biological engineering & computing |
container_volume | 43 |
creator | Vucković, A Struijk, J J Rijkhoff, N J M |
description | The aim of the study was to investigate how variable fibre geometry influences the excitation and blocking threshold of an undulating peripheral nerve fibre. The sensitivity of the excitation and blocking thresholds of the nerve fibres to various geometric and stimulation parameters was examined. The nerve fibres had a spiral shape (defined by the undulation wavelength, undulation amplitude and phase), and the internodal length varied. Diameter-selective stimulation of nerve fibres was obtained using anodal block. Simulation was performed using a two-part simulation model: a volume conductor model to calculate the electrical potential distribution inside a tripolar cuff electrode and a model of a peripheral undulating human nerve fibre to simulate the fibre response to stimulation. The excitation threshold of the undulating fibres was up to 100% higher than the excitation threshold of the straight fibres. When a nerve was stimulated with long pulses, which are typically applied for anodal block (> 400 micros), the blocking threshold of the undulating fibres was up to four times higher than the blocking threshold of the straight fibres. Dependencies of the excitation threshold on geometric and stimulation parameters were the same as for a straight fibre. Dependencies of the blocking threshold on geometric and stimulation parameters were different compared with a straight fibre. Owing to the fibre undulation and variable internodal length, the blocking threshold and the minimum pulse duration to obtain anodal block were generally different in the proximal and distal directions. Owing to variable fibre geometry, the excitation threshold varied by up to +/- 40% of the mean value, and the blocking threshold varied by up to +/- 60 % of the mean value. Owing to undulation, the blocking threshold of large fibres could be higher than the blocking threshold of small-diameter fibres, even if they had the same geometry. The results indicate that, during skeletal muscle stretching and contracting or during variation in joint angle, the excitation and blocking thresholds of the nerve fibres change owing to variations in fibre geometry. A straight fibre model could be too simple for modelling the response of peripheral nerve fibres to electrical stimulation. |
doi_str_mv | 10.1007/BF02345814 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_68062873</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2089897481</sourcerecordid><originalsourceid>FETCH-LOGICAL-c343t-2a3f10f217e0c8af146e94f7e6ebbe1f380e838aa7a3738fd99e5300ce057e03</originalsourceid><addsrcrecordid>eNqFkU1Lw0AQhhdRtFYv_gBZPHgQUmc_kmyOWqwWCl56D5tktl1NsnU3KfbfG2mh4MXTMMwzLzM8hNwwmDCA9PF5BlzIWDF5QkYslSwCKeUpGQGTEAFj6oJchvABwFnM5Tm5YAmImPN4RFbz1tQ9tiVSZ-hWe6uLGmmLfovU2MIjXaFrsPM76lrarZHid2k73dmh1W1Fi9qVn7ZdDTOPYe3qakKfaLBNX--h0PXV7oqcGV0HvD7UMVnOXpbTt2jx_jqfPi2iUkjRRVwLw8BwliKUShsmE8ykSTHBokBmhAJUQmmdapEKZaosw1gAlAjxsCLG5H4fu_Huq8fQ5Y0NJda1btH1IU8UJFyl4l-QZZJLEMkA3v0BP1zv2-GHPIkzqUAMh4zJwx4qvQvBo8k33jba73IG-a-j_OhogG8PiX3RYHVED1LED-wsi48</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>659480337</pqid></control><display><type>article</type><title>Influence of variable nerve fibre geometry on the excitation and blocking threshold. A simulation study</title><source>MEDLINE</source><source>SpringerNature Journals</source><source>EBSCOhost Business Source Complete</source><creator>Vucković, A ; Struijk, J J ; Rijkhoff, N J M</creator><creatorcontrib>Vucković, A ; Struijk, J J ; Rijkhoff, N J M</creatorcontrib><description>The aim of the study was to investigate how variable fibre geometry influences the excitation and blocking threshold of an undulating peripheral nerve fibre. The sensitivity of the excitation and blocking thresholds of the nerve fibres to various geometric and stimulation parameters was examined. The nerve fibres had a spiral shape (defined by the undulation wavelength, undulation amplitude and phase), and the internodal length varied. Diameter-selective stimulation of nerve fibres was obtained using anodal block. Simulation was performed using a two-part simulation model: a volume conductor model to calculate the electrical potential distribution inside a tripolar cuff electrode and a model of a peripheral undulating human nerve fibre to simulate the fibre response to stimulation. The excitation threshold of the undulating fibres was up to 100% higher than the excitation threshold of the straight fibres. When a nerve was stimulated with long pulses, which are typically applied for anodal block (> 400 micros), the blocking threshold of the undulating fibres was up to four times higher than the blocking threshold of the straight fibres. Dependencies of the excitation threshold on geometric and stimulation parameters were the same as for a straight fibre. Dependencies of the blocking threshold on geometric and stimulation parameters were different compared with a straight fibre. Owing to the fibre undulation and variable internodal length, the blocking threshold and the minimum pulse duration to obtain anodal block were generally different in the proximal and distal directions. Owing to variable fibre geometry, the excitation threshold varied by up to +/- 40% of the mean value, and the blocking threshold varied by up to +/- 60 % of the mean value. Owing to undulation, the blocking threshold of large fibres could be higher than the blocking threshold of small-diameter fibres, even if they had the same geometry. The results indicate that, during skeletal muscle stretching and contracting or during variation in joint angle, the excitation and blocking thresholds of the nerve fibres change owing to variations in fibre geometry. A straight fibre model could be too simple for modelling the response of peripheral nerve fibres to electrical stimulation.</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/BF02345814</identifier><identifier>PMID: 16035225</identifier><language>eng</language><publisher>United States: Springer Nature B.V</publisher><subject>Biomedical engineering ; Electric Stimulation ; Geometry ; Humans ; Membrane Potentials - physiology ; Models, Neurological ; Nerve Fibers, Myelinated - physiology ; Nerve Fibers, Myelinated - ultrastructure ; Nervous system ; Peripheral Nerves - anatomy & histology ; Peripheral Nerves - physiology ; Simulation ; Studies</subject><ispartof>Medical & biological engineering & computing, 2005-05, Vol.43 (3), p.365-374</ispartof><rights>IFMBE 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c343t-2a3f10f217e0c8af146e94f7e6ebbe1f380e838aa7a3738fd99e5300ce057e03</citedby><cites>FETCH-LOGICAL-c343t-2a3f10f217e0c8af146e94f7e6ebbe1f380e838aa7a3738fd99e5300ce057e03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16035225$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vucković, A</creatorcontrib><creatorcontrib>Struijk, J J</creatorcontrib><creatorcontrib>Rijkhoff, N J M</creatorcontrib><title>Influence of variable nerve fibre geometry on the excitation and blocking threshold. A simulation study</title><title>Medical & biological engineering & computing</title><addtitle>Med Biol Eng Comput</addtitle><description>The aim of the study was to investigate how variable fibre geometry influences the excitation and blocking threshold of an undulating peripheral nerve fibre. The sensitivity of the excitation and blocking thresholds of the nerve fibres to various geometric and stimulation parameters was examined. The nerve fibres had a spiral shape (defined by the undulation wavelength, undulation amplitude and phase), and the internodal length varied. Diameter-selective stimulation of nerve fibres was obtained using anodal block. Simulation was performed using a two-part simulation model: a volume conductor model to calculate the electrical potential distribution inside a tripolar cuff electrode and a model of a peripheral undulating human nerve fibre to simulate the fibre response to stimulation. The excitation threshold of the undulating fibres was up to 100% higher than the excitation threshold of the straight fibres. When a nerve was stimulated with long pulses, which are typically applied for anodal block (> 400 micros), the blocking threshold of the undulating fibres was up to four times higher than the blocking threshold of the straight fibres. Dependencies of the excitation threshold on geometric and stimulation parameters were the same as for a straight fibre. Dependencies of the blocking threshold on geometric and stimulation parameters were different compared with a straight fibre. Owing to the fibre undulation and variable internodal length, the blocking threshold and the minimum pulse duration to obtain anodal block were generally different in the proximal and distal directions. Owing to variable fibre geometry, the excitation threshold varied by up to +/- 40% of the mean value, and the blocking threshold varied by up to +/- 60 % of the mean value. Owing to undulation, the blocking threshold of large fibres could be higher than the blocking threshold of small-diameter fibres, even if they had the same geometry. The results indicate that, during skeletal muscle stretching and contracting or during variation in joint angle, the excitation and blocking thresholds of the nerve fibres change owing to variations in fibre geometry. A straight fibre model could be too simple for modelling the response of peripheral nerve fibres to electrical stimulation.</description><subject>Biomedical engineering</subject><subject>Electric Stimulation</subject><subject>Geometry</subject><subject>Humans</subject><subject>Membrane Potentials - physiology</subject><subject>Models, Neurological</subject><subject>Nerve Fibers, Myelinated - physiology</subject><subject>Nerve Fibers, Myelinated - ultrastructure</subject><subject>Nervous system</subject><subject>Peripheral Nerves - anatomy & histology</subject><subject>Peripheral Nerves - physiology</subject><subject>Simulation</subject><subject>Studies</subject><issn>0140-0118</issn><issn>1741-0444</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkU1Lw0AQhhdRtFYv_gBZPHgQUmc_kmyOWqwWCl56D5tktl1NsnU3KfbfG2mh4MXTMMwzLzM8hNwwmDCA9PF5BlzIWDF5QkYslSwCKeUpGQGTEAFj6oJchvABwFnM5Tm5YAmImPN4RFbz1tQ9tiVSZ-hWe6uLGmmLfovU2MIjXaFrsPM76lrarZHid2k73dmh1W1Fi9qVn7ZdDTOPYe3qakKfaLBNX--h0PXV7oqcGV0HvD7UMVnOXpbTt2jx_jqfPi2iUkjRRVwLw8BwliKUShsmE8ykSTHBokBmhAJUQmmdapEKZaosw1gAlAjxsCLG5H4fu_Huq8fQ5Y0NJda1btH1IU8UJFyl4l-QZZJLEMkA3v0BP1zv2-GHPIkzqUAMh4zJwx4qvQvBo8k33jba73IG-a-j_OhogG8PiX3RYHVED1LED-wsi48</recordid><startdate>20050501</startdate><enddate>20050501</enddate><creator>Vucković, A</creator><creator>Struijk, J J</creator><creator>Rijkhoff, N J M</creator><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7SC</scope><scope>7TB</scope><scope>7TS</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7QO</scope><scope>7X8</scope></search><sort><creationdate>20050501</creationdate><title>Influence of variable nerve fibre geometry on the excitation and blocking threshold. A simulation study</title><author>Vucković, A ; Struijk, J J ; Rijkhoff, N J M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c343t-2a3f10f217e0c8af146e94f7e6ebbe1f380e838aa7a3738fd99e5300ce057e03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biomedical engineering</topic><topic>Electric Stimulation</topic><topic>Geometry</topic><topic>Humans</topic><topic>Membrane Potentials - physiology</topic><topic>Models, Neurological</topic><topic>Nerve Fibers, Myelinated - physiology</topic><topic>Nerve Fibers, Myelinated - ultrastructure</topic><topic>Nervous system</topic><topic>Peripheral Nerves - anatomy & histology</topic><topic>Peripheral Nerves - physiology</topic><topic>Simulation</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vucković, A</creatorcontrib><creatorcontrib>Struijk, J J</creatorcontrib><creatorcontrib>Rijkhoff, N J M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Physical Education Index</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Biotechnology Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Medical & biological engineering & computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vucković, A</au><au>Struijk, J J</au><au>Rijkhoff, N J M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of variable nerve fibre geometry on the excitation and blocking threshold. A simulation study</atitle><jtitle>Medical & biological engineering & computing</jtitle><addtitle>Med Biol Eng Comput</addtitle><date>2005-05-01</date><risdate>2005</risdate><volume>43</volume><issue>3</issue><spage>365</spage><epage>374</epage><pages>365-374</pages><issn>0140-0118</issn><eissn>1741-0444</eissn><abstract>The aim of the study was to investigate how variable fibre geometry influences the excitation and blocking threshold of an undulating peripheral nerve fibre. The sensitivity of the excitation and blocking thresholds of the nerve fibres to various geometric and stimulation parameters was examined. The nerve fibres had a spiral shape (defined by the undulation wavelength, undulation amplitude and phase), and the internodal length varied. Diameter-selective stimulation of nerve fibres was obtained using anodal block. Simulation was performed using a two-part simulation model: a volume conductor model to calculate the electrical potential distribution inside a tripolar cuff electrode and a model of a peripheral undulating human nerve fibre to simulate the fibre response to stimulation. The excitation threshold of the undulating fibres was up to 100% higher than the excitation threshold of the straight fibres. When a nerve was stimulated with long pulses, which are typically applied for anodal block (> 400 micros), the blocking threshold of the undulating fibres was up to four times higher than the blocking threshold of the straight fibres. Dependencies of the excitation threshold on geometric and stimulation parameters were the same as for a straight fibre. Dependencies of the blocking threshold on geometric and stimulation parameters were different compared with a straight fibre. Owing to the fibre undulation and variable internodal length, the blocking threshold and the minimum pulse duration to obtain anodal block were generally different in the proximal and distal directions. Owing to variable fibre geometry, the excitation threshold varied by up to +/- 40% of the mean value, and the blocking threshold varied by up to +/- 60 % of the mean value. Owing to undulation, the blocking threshold of large fibres could be higher than the blocking threshold of small-diameter fibres, even if they had the same geometry. The results indicate that, during skeletal muscle stretching and contracting or during variation in joint angle, the excitation and blocking thresholds of the nerve fibres change owing to variations in fibre geometry. A straight fibre model could be too simple for modelling the response of peripheral nerve fibres to electrical stimulation.</abstract><cop>United States</cop><pub>Springer Nature B.V</pub><pmid>16035225</pmid><doi>10.1007/BF02345814</doi><tpages>10</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0140-0118 |
ispartof | Medical & biological engineering & computing, 2005-05, Vol.43 (3), p.365-374 |
issn | 0140-0118 1741-0444 |
language | eng |
recordid | cdi_proquest_miscellaneous_68062873 |
source | MEDLINE; SpringerNature Journals; EBSCOhost Business Source Complete |
subjects | Biomedical engineering Electric Stimulation Geometry Humans Membrane Potentials - physiology Models, Neurological Nerve Fibers, Myelinated - physiology Nerve Fibers, Myelinated - ultrastructure Nervous system Peripheral Nerves - anatomy & histology Peripheral Nerves - physiology Simulation Studies |
title | Influence of variable nerve fibre geometry on the excitation and blocking threshold. A simulation study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T11%3A51%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Influence%20of%20variable%20nerve%20fibre%20geometry%20on%20the%20excitation%20and%20blocking%20threshold.%20A%20simulation%20study&rft.jtitle=Medical%20&%20biological%20engineering%20&%20computing&rft.au=Vuckovi%C4%87,%20A&rft.date=2005-05-01&rft.volume=43&rft.issue=3&rft.spage=365&rft.epage=374&rft.pages=365-374&rft.issn=0140-0118&rft.eissn=1741-0444&rft_id=info:doi/10.1007/BF02345814&rft_dat=%3Cproquest_cross%3E2089897481%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=659480337&rft_id=info:pmid/16035225&rfr_iscdi=true |