No Cover Image

Journal article 689 views 66 downloads

Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time

Esin Karahan Orcid Logo, Alison G. Costigan Orcid Logo, Kim S. Graham Orcid Logo, Andrew D. Lawrence Orcid Logo, Jiaxiang Zhang Orcid Logo

The Journal of Neuroscience, Volume: 39, Issue: 30, Pages: 5910 - 5921

Swansea University Author: Jiaxiang Zhang Orcid Logo

  • 61207_VoR.pdf

    PDF | Version of Record

    Copyright © 2019 Karahan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License

    Download (1.45MB)

Check full text

DOI (Published version): 10.1523/jneurosci.2954-18.2019

Abstract

The speed of motor reaction to an external stimulus varies substantially between individuals and is slowed in aging. However, the neuroanatomical origins of interindividual variability in reaction time (RT) remain unclear. Here, we combined a cognitive model of RT and a biophysical compartment model...

Full description

Published in: The Journal of Neuroscience
ISSN: 0270-6474 1529-2401
Published: Society for Neuroscience 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa61207
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2022-10-03T13:39:23Z
last_indexed 2023-01-13T19:21:50Z
id cronfa61207
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-10-03T14:47:12.4901153</datestamp><bib-version>v2</bib-version><id>61207</id><entry>2022-09-13</entry><title>Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time</title><swanseaauthors><author><sid>555e06e0ed9a87608f2d035b3bde3a87</sid><ORCID>0000-0002-4758-0394</ORCID><firstname>Jiaxiang</firstname><surname>Zhang</surname><name>Jiaxiang Zhang</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-09-13</date><deptcode>SCS</deptcode><abstract>The speed of motor reaction to an external stimulus varies substantially between individuals and is slowed in aging. However, the neuroanatomical origins of interindividual variability in reaction time (RT) remain unclear. Here, we combined a cognitive model of RT and a biophysical compartment model of diffusion-weighted MRI (DWI) to characterize the relationship between RT and microstructure of the corticospinal tract (CST) and the optic radiation (OR), the primary motor output and visual input pathways associated with visual-motor responses. We fitted an accumulator model of RT to 46 female human participants' behavioral performance in a simple reaction time task. The non-decision time parameter (Ter) derived from the model was used to account for the latencies of stimulus encoding and action initiation. From multi-shell DWI data, we quantified tissue microstructure of the CST and OR with the neurite orientation dispersion and density imaging (NODDI) model as well as the conventional diffusion tensor imaging model. Using novel skeletonization and segmentation approaches, we showed that DWI-based microstructure metrics varied substantially along CST and OR. The Ter of individual participants was negatively correlated with the NODDI measure of the neurite density in the bilateral superior CST. Further, we found no significant correlation between the microstructural measures and mean RT. Thus, our findings suggest a link between interindividual differences in sensorimotor speed and selective microstructural properties in white-matter tracts.</abstract><type>Journal Article</type><journal>The Journal of Neuroscience</journal><volume>39</volume><journalNumber>30</journalNumber><paginationStart>5910</paginationStart><paginationEnd>5921</paginationEnd><publisher>Society for Neuroscience</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0270-6474</issnPrint><issnElectronic>1529-2401</issnElectronic><keywords>along tract analysis; cognitive model; microstructure; NODDI; non-decision time; simple reaction time</keywords><publishedDay>24</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-07-24</publishedDate><doi>10.1523/jneurosci.2954-18.2019</doi><url/><notes/><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This work was supported by a European Research Council starting grant (716321), by the Cardiff University Neuroscience and Mental Health Research Institute with a PhD studentship to A.G.C., and by a Wellcome Trust Strategic Award (104943/Z/14/Z) to K.S.G. and A.D.L.</funders><projectreference/><lastEdited>2022-10-03T14:47:12.4901153</lastEdited><Created>2022-09-13T13:53:34.5977602</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Esin</firstname><surname>Karahan</surname><orcid>0000-0001-7566-9225</orcid><order>1</order></author><author><firstname>Alison G.</firstname><surname>Costigan</surname><orcid>0000-0002-9164-3081</orcid><order>2</order></author><author><firstname>Kim S.</firstname><surname>Graham</surname><orcid>0000-0002-1512-7667</orcid><order>3</order></author><author><firstname>Andrew D.</firstname><surname>Lawrence</surname><orcid>0000-0001-6705-2110</orcid><order>4</order></author><author><firstname>Jiaxiang</firstname><surname>Zhang</surname><orcid>0000-0002-4758-0394</orcid><order>5</order></author></authors><documents><document><filename>61207__25287__a41d698220e3449db36291c7a14100e9.pdf</filename><originalFilename>61207_VoR.pdf</originalFilename><uploaded>2022-10-03T14:40:59.3157297</uploaded><type>Output</type><contentLength>1516303</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Copyright &#xA9; 2019 Karahan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-10-03T14:47:12.4901153 v2 61207 2022-09-13 Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time 555e06e0ed9a87608f2d035b3bde3a87 0000-0002-4758-0394 Jiaxiang Zhang Jiaxiang Zhang true false 2022-09-13 SCS The speed of motor reaction to an external stimulus varies substantially between individuals and is slowed in aging. However, the neuroanatomical origins of interindividual variability in reaction time (RT) remain unclear. Here, we combined a cognitive model of RT and a biophysical compartment model of diffusion-weighted MRI (DWI) to characterize the relationship between RT and microstructure of the corticospinal tract (CST) and the optic radiation (OR), the primary motor output and visual input pathways associated with visual-motor responses. We fitted an accumulator model of RT to 46 female human participants' behavioral performance in a simple reaction time task. The non-decision time parameter (Ter) derived from the model was used to account for the latencies of stimulus encoding and action initiation. From multi-shell DWI data, we quantified tissue microstructure of the CST and OR with the neurite orientation dispersion and density imaging (NODDI) model as well as the conventional diffusion tensor imaging model. Using novel skeletonization and segmentation approaches, we showed that DWI-based microstructure metrics varied substantially along CST and OR. The Ter of individual participants was negatively correlated with the NODDI measure of the neurite density in the bilateral superior CST. Further, we found no significant correlation between the microstructural measures and mean RT. Thus, our findings suggest a link between interindividual differences in sensorimotor speed and selective microstructural properties in white-matter tracts. Journal Article The Journal of Neuroscience 39 30 5910 5921 Society for Neuroscience 0270-6474 1529-2401 along tract analysis; cognitive model; microstructure; NODDI; non-decision time; simple reaction time 24 7 2019 2019-07-24 10.1523/jneurosci.2954-18.2019 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University This work was supported by a European Research Council starting grant (716321), by the Cardiff University Neuroscience and Mental Health Research Institute with a PhD studentship to A.G.C., and by a Wellcome Trust Strategic Award (104943/Z/14/Z) to K.S.G. and A.D.L. 2022-10-03T14:47:12.4901153 2022-09-13T13:53:34.5977602 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Esin Karahan 0000-0001-7566-9225 1 Alison G. Costigan 0000-0002-9164-3081 2 Kim S. Graham 0000-0002-1512-7667 3 Andrew D. Lawrence 0000-0001-6705-2110 4 Jiaxiang Zhang 0000-0002-4758-0394 5 61207__25287__a41d698220e3449db36291c7a14100e9.pdf 61207_VoR.pdf 2022-10-03T14:40:59.3157297 Output 1516303 application/pdf Version of Record true Copyright © 2019 Karahan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License true eng https://creativecommons.org/licenses/by/4.0
title Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time
spellingShingle Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time
Jiaxiang Zhang
title_short Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time
title_full Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time
title_fullStr Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time
title_full_unstemmed Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time
title_sort Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time
author_id_str_mv 555e06e0ed9a87608f2d035b3bde3a87
author_id_fullname_str_mv 555e06e0ed9a87608f2d035b3bde3a87_***_Jiaxiang Zhang
author Jiaxiang Zhang
author2 Esin Karahan
Alison G. Costigan
Kim S. Graham
Andrew D. Lawrence
Jiaxiang Zhang
format Journal article
container_title The Journal of Neuroscience
container_volume 39
container_issue 30
container_start_page 5910
publishDate 2019
institution Swansea University
issn 0270-6474
1529-2401
doi_str_mv 10.1523/jneurosci.2954-18.2019
publisher Society for Neuroscience
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 Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description The speed of motor reaction to an external stimulus varies substantially between individuals and is slowed in aging. However, the neuroanatomical origins of interindividual variability in reaction time (RT) remain unclear. Here, we combined a cognitive model of RT and a biophysical compartment model of diffusion-weighted MRI (DWI) to characterize the relationship between RT and microstructure of the corticospinal tract (CST) and the optic radiation (OR), the primary motor output and visual input pathways associated with visual-motor responses. We fitted an accumulator model of RT to 46 female human participants' behavioral performance in a simple reaction time task. The non-decision time parameter (Ter) derived from the model was used to account for the latencies of stimulus encoding and action initiation. From multi-shell DWI data, we quantified tissue microstructure of the CST and OR with the neurite orientation dispersion and density imaging (NODDI) model as well as the conventional diffusion tensor imaging model. Using novel skeletonization and segmentation approaches, we showed that DWI-based microstructure metrics varied substantially along CST and OR. The Ter of individual participants was negatively correlated with the NODDI measure of the neurite density in the bilateral superior CST. Further, we found no significant correlation between the microstructural measures and mean RT. Thus, our findings suggest a link between interindividual differences in sensorimotor speed and selective microstructural properties in white-matter tracts.
published_date 2019-07-24T04:19:52Z
_version_ 1763754317458702336
score 11.037603

Similar Items