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...
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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. |
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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 & 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 & 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 & 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 & 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> |
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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 |
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