Neurite orientation dispersion and density imaging quantifies corticospinal tract microstructural organization in children with unilateral cerebral palsy

Children with unilateral cerebral palsy (UCP) due to early brain injury exhibit disrupted connectivity of corticospinal tracts (CSTs), which can be quantified using diffusion‐weighted magnetic resonance imaging (DWI). Diffusion tensor imaging (DTI) is commonly used to quantify white matter organizat...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Human brain mapping 2019-12, Vol.40 (17), p.4888-4900
Hauptverfasser: Nemanich, Samuel T., Mueller, Bryon A., Gillick, Bernadette T.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 4900
container_issue 17
container_start_page 4888
container_title Human brain mapping
container_volume 40
creator Nemanich, Samuel T.
Mueller, Bryon A.
Gillick, Bernadette T.
description Children with unilateral cerebral palsy (UCP) due to early brain injury exhibit disrupted connectivity of corticospinal tracts (CSTs), which can be quantified using diffusion‐weighted magnetic resonance imaging (DWI). Diffusion tensor imaging (DTI) is commonly used to quantify white matter organization, however, this model lacks the biological specificity to accurately describe underlying microstructural properties. Newer approaches, such as neurite orientation dispersion and density imaging (NODDI), may provide more biologically accurate information regarding CST microstructure. In this study, we directly compared metrics of CST microstructure using NODDI and DTI models to characterize the microstructural organization of corticospinal pathways. Twenty participants with UCP participating in a neuromodulation/rehabilitation intervention underwent imaging including multi‐shell DWI; 10 participants' datasets were adequately completed for neuroimaging analysis. Task fMRI‐guided probabilistic tractography from motor cortex to brainstem was performed at baseline and follow‐up to reconstruct the CSTs. Diffusion metrics were compared between hemispheres at baseline, and between baseline and follow‐up to test for intervention effects. Correlation analyses were used to compare baseline metrics to changes in hand function following the intervention. DTI results showed that mean fractional anisotropy in lesioned and nonlesioned CSTs did not significantly differ, but mean, axial, and radial diffusivity were greater in the lesioned CST. For NODDI, intracellular volume fraction (ICVF) and orientation dispersion index (ODI) were lower in the lesioned CST. Unimanual function was strongly correlated with ICVF, but not FA. NODDI may reveal distinct properties of CST microstructure that are linked to motor function, indicating their potential in characterizing brain structure and development.
doi_str_mv 10.1002/hbm.24744
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6813864</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2307896370</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4434-2b3748cb5a220d08cda1434a5efacd549124b593c787b32a94776ff69f62ca563</originalsourceid><addsrcrecordid>eNp1kc1u1TAQhS0EoqWw4AWQJTawSOv_JBskqIAiFdjA2nIc596pEju1HarLm_C2OKRUgMRqjsafjsbnIPSUklNKCDvbd9MpE7UQ99AxJW1dEdry-6tWsmpFTY_Qo5SuCKFUEvoQHXHKpWxbeox-fHJLhOxwiOB8NhmCxz2k2cW0SuN73DufIB8wTGYHfoevF-MzDOAStiFmsCHN4M2IczQ24wlsDCnHxeYllm2IO-Ph-2YNHts9jH10Ht9A3uPFw2iyW0HroutWMZsxHR6jB0OZ7sntPEFf3739cn5RXX5-_-H89WVlheCiYh2vRWM7aRgjPWlsb2jZG-kGY3spWspEJ1tu66buODMljloNg2oHxayRip-gV5vvvHST621Jodyg51i-Gw86GNB_v3jY6134plVDeaNEMXhxaxDD9eJS1hMk68bReBeWpBlTiksiKCvo83_Qq7DEEl2hOKmbVvGaFOrlRq05puiGu2Mo0WvhuhSufxVe2Gd_Xn9H_m64AGcbcAOjO_zfSV-8-bhZ_gTs0bqB</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2307896370</pqid></control><display><type>article</type><title>Neurite orientation dispersion and density imaging quantifies corticospinal tract microstructural organization in children with unilateral cerebral palsy</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Nemanich, Samuel T. ; Mueller, Bryon A. ; Gillick, Bernadette T.</creator><creatorcontrib>Nemanich, Samuel T. ; Mueller, Bryon A. ; Gillick, Bernadette T.</creatorcontrib><description>Children with unilateral cerebral palsy (UCP) due to early brain injury exhibit disrupted connectivity of corticospinal tracts (CSTs), which can be quantified using diffusion‐weighted magnetic resonance imaging (DWI). Diffusion tensor imaging (DTI) is commonly used to quantify white matter organization, however, this model lacks the biological specificity to accurately describe underlying microstructural properties. Newer approaches, such as neurite orientation dispersion and density imaging (NODDI), may provide more biologically accurate information regarding CST microstructure. In this study, we directly compared metrics of CST microstructure using NODDI and DTI models to characterize the microstructural organization of corticospinal pathways. Twenty participants with UCP participating in a neuromodulation/rehabilitation intervention underwent imaging including multi‐shell DWI; 10 participants' datasets were adequately completed for neuroimaging analysis. Task fMRI‐guided probabilistic tractography from motor cortex to brainstem was performed at baseline and follow‐up to reconstruct the CSTs. Diffusion metrics were compared between hemispheres at baseline, and between baseline and follow‐up to test for intervention effects. Correlation analyses were used to compare baseline metrics to changes in hand function following the intervention. DTI results showed that mean fractional anisotropy in lesioned and nonlesioned CSTs did not significantly differ, but mean, axial, and radial diffusivity were greater in the lesioned CST. For NODDI, intracellular volume fraction (ICVF) and orientation dispersion index (ODI) were lower in the lesioned CST. Unimanual function was strongly correlated with ICVF, but not FA. NODDI may reveal distinct properties of CST microstructure that are linked to motor function, indicating their potential in characterizing brain structure and development.</description><identifier>ISSN: 1065-9471</identifier><identifier>EISSN: 1097-0193</identifier><identifier>DOI: 10.1002/hbm.24744</identifier><identifier>PMID: 31355991</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley &amp; Sons, Inc</publisher><subject>Adolescent ; Anisotropy ; Brain ; Brain - diagnostic imaging ; Brain injury ; Brain mapping ; Brain stem ; Cerebral palsy ; Cerebral Palsy - diagnostic imaging ; Child ; Children ; Correlation analysis ; Cortex (motor) ; corticospinal tract ; Density ; Diffusion ; Diffusion Magnetic Resonance Imaging ; diffusion‐weighted MRI ; Dispersion ; Female ; Functional magnetic resonance imaging ; Head injuries ; Hemispheres ; Humans ; Image processing ; Image Processing, Computer-Assisted ; Magnetic resonance imaging ; Male ; Medical imaging ; Microstructure ; Neural networks ; neurite orientation dispersion and density imaging ; Neurites - physiology ; Neuroimaging ; Neurology ; Neuromodulation ; Orientation ; Paralysis ; Pyramidal tracts ; Pyramidal Tracts - diagnostic imaging ; Rehabilitation ; Substantia alba ; Tensors ; unilateral cerebral palsy ; White Matter - diagnostic imaging ; Young Adult</subject><ispartof>Human brain mapping, 2019-12, Vol.40 (17), p.4888-4900</ispartof><rights>2019 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4434-2b3748cb5a220d08cda1434a5efacd549124b593c787b32a94776ff69f62ca563</citedby><cites>FETCH-LOGICAL-c4434-2b3748cb5a220d08cda1434a5efacd549124b593c787b32a94776ff69f62ca563</cites><orcidid>0000-0001-6093-7266</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6813864/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6813864/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1411,27901,27902,45550,45551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31355991$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nemanich, Samuel T.</creatorcontrib><creatorcontrib>Mueller, Bryon A.</creatorcontrib><creatorcontrib>Gillick, Bernadette T.</creatorcontrib><title>Neurite orientation dispersion and density imaging quantifies corticospinal tract microstructural organization in children with unilateral cerebral palsy</title><title>Human brain mapping</title><addtitle>Hum Brain Mapp</addtitle><description>Children with unilateral cerebral palsy (UCP) due to early brain injury exhibit disrupted connectivity of corticospinal tracts (CSTs), which can be quantified using diffusion‐weighted magnetic resonance imaging (DWI). Diffusion tensor imaging (DTI) is commonly used to quantify white matter organization, however, this model lacks the biological specificity to accurately describe underlying microstructural properties. Newer approaches, such as neurite orientation dispersion and density imaging (NODDI), may provide more biologically accurate information regarding CST microstructure. In this study, we directly compared metrics of CST microstructure using NODDI and DTI models to characterize the microstructural organization of corticospinal pathways. Twenty participants with UCP participating in a neuromodulation/rehabilitation intervention underwent imaging including multi‐shell DWI; 10 participants' datasets were adequately completed for neuroimaging analysis. Task fMRI‐guided probabilistic tractography from motor cortex to brainstem was performed at baseline and follow‐up to reconstruct the CSTs. Diffusion metrics were compared between hemispheres at baseline, and between baseline and follow‐up to test for intervention effects. Correlation analyses were used to compare baseline metrics to changes in hand function following the intervention. DTI results showed that mean fractional anisotropy in lesioned and nonlesioned CSTs did not significantly differ, but mean, axial, and radial diffusivity were greater in the lesioned CST. For NODDI, intracellular volume fraction (ICVF) and orientation dispersion index (ODI) were lower in the lesioned CST. Unimanual function was strongly correlated with ICVF, but not FA. NODDI may reveal distinct properties of CST microstructure that are linked to motor function, indicating their potential in characterizing brain structure and development.</description><subject>Adolescent</subject><subject>Anisotropy</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain injury</subject><subject>Brain mapping</subject><subject>Brain stem</subject><subject>Cerebral palsy</subject><subject>Cerebral Palsy - diagnostic imaging</subject><subject>Child</subject><subject>Children</subject><subject>Correlation analysis</subject><subject>Cortex (motor)</subject><subject>corticospinal tract</subject><subject>Density</subject><subject>Diffusion</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>diffusion‐weighted MRI</subject><subject>Dispersion</subject><subject>Female</subject><subject>Functional magnetic resonance imaging</subject><subject>Head injuries</subject><subject>Hemispheres</subject><subject>Humans</subject><subject>Image processing</subject><subject>Image Processing, Computer-Assisted</subject><subject>Magnetic resonance imaging</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Microstructure</subject><subject>Neural networks</subject><subject>neurite orientation dispersion and density imaging</subject><subject>Neurites - physiology</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Neuromodulation</subject><subject>Orientation</subject><subject>Paralysis</subject><subject>Pyramidal tracts</subject><subject>Pyramidal Tracts - diagnostic imaging</subject><subject>Rehabilitation</subject><subject>Substantia alba</subject><subject>Tensors</subject><subject>unilateral cerebral palsy</subject><subject>White Matter - diagnostic imaging</subject><subject>Young Adult</subject><issn>1065-9471</issn><issn>1097-0193</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc1u1TAQhS0EoqWw4AWQJTawSOv_JBskqIAiFdjA2nIc596pEju1HarLm_C2OKRUgMRqjsafjsbnIPSUklNKCDvbd9MpE7UQ99AxJW1dEdry-6tWsmpFTY_Qo5SuCKFUEvoQHXHKpWxbeox-fHJLhOxwiOB8NhmCxz2k2cW0SuN73DufIB8wTGYHfoevF-MzDOAStiFmsCHN4M2IczQ24wlsDCnHxeYllm2IO-Ph-2YNHts9jH10Ht9A3uPFw2iyW0HroutWMZsxHR6jB0OZ7sntPEFf3739cn5RXX5-_-H89WVlheCiYh2vRWM7aRgjPWlsb2jZG-kGY3spWspEJ1tu66buODMljloNg2oHxayRip-gV5vvvHST621Jodyg51i-Gw86GNB_v3jY6134plVDeaNEMXhxaxDD9eJS1hMk68bReBeWpBlTiksiKCvo83_Qq7DEEl2hOKmbVvGaFOrlRq05puiGu2Mo0WvhuhSufxVe2Gd_Xn9H_m64AGcbcAOjO_zfSV-8-bhZ_gTs0bqB</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Nemanich, Samuel T.</creator><creator>Mueller, Bryon A.</creator><creator>Gillick, Bernadette T.</creator><general>John Wiley &amp; Sons, Inc</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>7QR</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6093-7266</orcidid></search><sort><creationdate>20191201</creationdate><title>Neurite orientation dispersion and density imaging quantifies corticospinal tract microstructural organization in children with unilateral cerebral palsy</title><author>Nemanich, Samuel T. ; Mueller, Bryon A. ; Gillick, Bernadette T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4434-2b3748cb5a220d08cda1434a5efacd549124b593c787b32a94776ff69f62ca563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Anisotropy</topic><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Brain injury</topic><topic>Brain mapping</topic><topic>Brain stem</topic><topic>Cerebral palsy</topic><topic>Cerebral Palsy - diagnostic imaging</topic><topic>Child</topic><topic>Children</topic><topic>Correlation analysis</topic><topic>Cortex (motor)</topic><topic>corticospinal tract</topic><topic>Density</topic><topic>Diffusion</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>diffusion‐weighted MRI</topic><topic>Dispersion</topic><topic>Female</topic><topic>Functional magnetic resonance imaging</topic><topic>Head injuries</topic><topic>Hemispheres</topic><topic>Humans</topic><topic>Image processing</topic><topic>Image Processing, Computer-Assisted</topic><topic>Magnetic resonance imaging</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Microstructure</topic><topic>Neural networks</topic><topic>neurite orientation dispersion and density imaging</topic><topic>Neurites - physiology</topic><topic>Neuroimaging</topic><topic>Neurology</topic><topic>Neuromodulation</topic><topic>Orientation</topic><topic>Paralysis</topic><topic>Pyramidal tracts</topic><topic>Pyramidal Tracts - diagnostic imaging</topic><topic>Rehabilitation</topic><topic>Substantia alba</topic><topic>Tensors</topic><topic>unilateral cerebral palsy</topic><topic>White Matter - diagnostic imaging</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nemanich, Samuel T.</creatorcontrib><creatorcontrib>Mueller, Bryon A.</creatorcontrib><creatorcontrib>Gillick, Bernadette T.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human brain mapping</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nemanich, Samuel T.</au><au>Mueller, Bryon A.</au><au>Gillick, Bernadette T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Neurite orientation dispersion and density imaging quantifies corticospinal tract microstructural organization in children with unilateral cerebral palsy</atitle><jtitle>Human brain mapping</jtitle><addtitle>Hum Brain Mapp</addtitle><date>2019-12-01</date><risdate>2019</risdate><volume>40</volume><issue>17</issue><spage>4888</spage><epage>4900</epage><pages>4888-4900</pages><issn>1065-9471</issn><eissn>1097-0193</eissn><abstract>Children with unilateral cerebral palsy (UCP) due to early brain injury exhibit disrupted connectivity of corticospinal tracts (CSTs), which can be quantified using diffusion‐weighted magnetic resonance imaging (DWI). Diffusion tensor imaging (DTI) is commonly used to quantify white matter organization, however, this model lacks the biological specificity to accurately describe underlying microstructural properties. Newer approaches, such as neurite orientation dispersion and density imaging (NODDI), may provide more biologically accurate information regarding CST microstructure. In this study, we directly compared metrics of CST microstructure using NODDI and DTI models to characterize the microstructural organization of corticospinal pathways. Twenty participants with UCP participating in a neuromodulation/rehabilitation intervention underwent imaging including multi‐shell DWI; 10 participants' datasets were adequately completed for neuroimaging analysis. Task fMRI‐guided probabilistic tractography from motor cortex to brainstem was performed at baseline and follow‐up to reconstruct the CSTs. Diffusion metrics were compared between hemispheres at baseline, and between baseline and follow‐up to test for intervention effects. Correlation analyses were used to compare baseline metrics to changes in hand function following the intervention. DTI results showed that mean fractional anisotropy in lesioned and nonlesioned CSTs did not significantly differ, but mean, axial, and radial diffusivity were greater in the lesioned CST. For NODDI, intracellular volume fraction (ICVF) and orientation dispersion index (ODI) were lower in the lesioned CST. Unimanual function was strongly correlated with ICVF, but not FA. NODDI may reveal distinct properties of CST microstructure that are linked to motor function, indicating their potential in characterizing brain structure and development.</abstract><cop>Hoboken, USA</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>31355991</pmid><doi>10.1002/hbm.24744</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-6093-7266</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1065-9471
ispartof Human brain mapping, 2019-12, Vol.40 (17), p.4888-4900
issn 1065-9471
1097-0193
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6813864
source MEDLINE; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central
subjects Adolescent
Anisotropy
Brain
Brain - diagnostic imaging
Brain injury
Brain mapping
Brain stem
Cerebral palsy
Cerebral Palsy - diagnostic imaging
Child
Children
Correlation analysis
Cortex (motor)
corticospinal tract
Density
Diffusion
Diffusion Magnetic Resonance Imaging
diffusion‐weighted MRI
Dispersion
Female
Functional magnetic resonance imaging
Head injuries
Hemispheres
Humans
Image processing
Image Processing, Computer-Assisted
Magnetic resonance imaging
Male
Medical imaging
Microstructure
Neural networks
neurite orientation dispersion and density imaging
Neurites - physiology
Neuroimaging
Neurology
Neuromodulation
Orientation
Paralysis
Pyramidal tracts
Pyramidal Tracts - diagnostic imaging
Rehabilitation
Substantia alba
Tensors
unilateral cerebral palsy
White Matter - diagnostic imaging
Young Adult
title Neurite orientation dispersion and density imaging quantifies corticospinal tract microstructural organization in children with unilateral cerebral palsy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-20T18%3A17%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Neurite%20orientation%20dispersion%20and%20density%20imaging%20quantifies%20corticospinal%20tract%20microstructural%20organization%20in%20children%20with%20unilateral%20cerebral%20palsy&rft.jtitle=Human%20brain%20mapping&rft.au=Nemanich,%20Samuel%20T.&rft.date=2019-12-01&rft.volume=40&rft.issue=17&rft.spage=4888&rft.epage=4900&rft.pages=4888-4900&rft.issn=1065-9471&rft.eissn=1097-0193&rft_id=info:doi/10.1002/hbm.24744&rft_dat=%3Cproquest_pubme%3E2307896370%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2307896370&rft_id=info:pmid/31355991&rfr_iscdi=true