Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI
We investigate how known differences in myelin architecture between regions along the cortico-spinal tract and frontal white matter (WM) in 19 healthy adolescents are reflected in several quantitative MRI parameters that have been proposed to non-invasively probe WM microstructure. In a clinically f...
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| creator | Groeschel, Samuel Hagberg, Gisela E Schultz, Thomas Balla, Dávid Z Klose, Uwe Hauser, Till-Karsten Nägele, Thomas Bieri, Oliver Prasloski, Thomas MacKay, Alex L Krägeloh-Mann, Ingeborg Scheffler, Klaus |
| description | We investigate how known differences in myelin architecture between regions along the cortico-spinal tract and frontal white matter (WM) in 19 healthy adolescents are reflected in several quantitative MRI parameters that have been proposed to non-invasively probe WM microstructure. In a clinically feasible scan time, both conventional imaging sequences as well as microstructural MRI parameters were assessed in order to quantitatively characterise WM regions that are known to differ in the thickness of their myelin sheaths, and in the presence of crossing or parallel fibre organisation.
We found that diffusion imaging, MR spectroscopy (MRS), myelin water fraction (MWF), Magnetization Transfer Imaging, and Quantitative Susceptibility Mapping were myelin-sensitive in different ways, giving complementary information for characterising WM microstructure with different underlying fibre architecture. From the diffusion parameters, neurite density (NODDI) was found to be more sensitive than fractional anisotropy (FA), underlining the limitation of FA in WM crossing fibre regions. In terms of sensitivity to different myelin content, we found that MWF, the mean diffusivity and chemical-shift imaging based MRS yielded the best discrimination between areas.
Multimodal assessment of WM microstructure was possible within clinically feasible scan times using a broad combination of quantitative microstructural MRI sequences. By assessing new microstructural WM parameters we were able to provide normative data and discuss their interpretation in regions with different myelin architecture, as well as their possible application as biomarker for WM disorders. |
| doi_str_mv | 10.1371/journal.pone.0167274 |
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We found that diffusion imaging, MR spectroscopy (MRS), myelin water fraction (MWF), Magnetization Transfer Imaging, and Quantitative Susceptibility Mapping were myelin-sensitive in different ways, giving complementary information for characterising WM microstructure with different underlying fibre architecture. From the diffusion parameters, neurite density (NODDI) was found to be more sensitive than fractional anisotropy (FA), underlining the limitation of FA in WM crossing fibre regions. In terms of sensitivity to different myelin content, we found that MWF, the mean diffusivity and chemical-shift imaging based MRS yielded the best discrimination between areas.
Multimodal assessment of WM microstructure was possible within clinically feasible scan times using a broad combination of quantitative microstructural MRI sequences. By assessing new microstructural WM parameters we were able to provide normative data and discuss their interpretation in regions with different myelin architecture, as well as their possible application as biomarker for WM disorders.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0167274</identifier><identifier>PMID: 27898701</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adolescents ; Adult ; Anisotropy ; Architecture ; Biology and Life Sciences ; Biomarkers ; Brain ; Brain - diagnostic imaging ; Brain - metabolism ; Brain Mapping ; Brain research ; Child ; Children & youth ; Cybernetics ; Data processing ; Diffusion ; Diffusion parameters ; Diffusion Tensor Imaging ; Feasibility studies ; Female ; Gene mapping ; Histology ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Magnetic resonance spectroscopy ; Male ; Medicine and Health Sciences ; Microstructure ; Microstructures ; Myelin ; Myelin sheath ; Myelin Sheath - chemistry ; Myelin Sheath - metabolism ; Neuroimaging ; NMR ; Nuclear magnetic resonance ; Order parameters ; Parameter sensitivity ; Physical Sciences ; Research and Analysis Methods ; Sequences ; Sheaths ; Spectroscopy ; Substantia alba ; White Matter - diagnostic imaging ; White Matter - metabolism ; White Matter - pathology ; White Matter - ultrastructure ; Young Adult</subject><ispartof>PloS one, 2016-11, Vol.11 (11), p.e0167274-e0167274</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Groeschel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Groeschel et al 2016 Groeschel et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-41d0ff29d0ddf3c82807dd972d70d4e4c4403c686d60d948273e615924dea3353</citedby><cites>FETCH-LOGICAL-c725t-41d0ff29d0ddf3c82807dd972d70d4e4c4403c686d60d948273e615924dea3353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127571/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127571/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27898701$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Groeschel, Samuel</creatorcontrib><creatorcontrib>Hagberg, Gisela E</creatorcontrib><creatorcontrib>Schultz, Thomas</creatorcontrib><creatorcontrib>Balla, Dávid Z</creatorcontrib><creatorcontrib>Klose, Uwe</creatorcontrib><creatorcontrib>Hauser, Till-Karsten</creatorcontrib><creatorcontrib>Nägele, Thomas</creatorcontrib><creatorcontrib>Bieri, Oliver</creatorcontrib><creatorcontrib>Prasloski, Thomas</creatorcontrib><creatorcontrib>MacKay, Alex L</creatorcontrib><creatorcontrib>Krägeloh-Mann, Ingeborg</creatorcontrib><creatorcontrib>Scheffler, Klaus</creatorcontrib><title>Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>We investigate how known differences in myelin architecture between regions along the cortico-spinal tract and frontal white matter (WM) in 19 healthy adolescents are reflected in several quantitative MRI parameters that have been proposed to non-invasively probe WM microstructure. In a clinically feasible scan time, both conventional imaging sequences as well as microstructural MRI parameters were assessed in order to quantitatively characterise WM regions that are known to differ in the thickness of their myelin sheaths, and in the presence of crossing or parallel fibre organisation.
We found that diffusion imaging, MR spectroscopy (MRS), myelin water fraction (MWF), Magnetization Transfer Imaging, and Quantitative Susceptibility Mapping were myelin-sensitive in different ways, giving complementary information for characterising WM microstructure with different underlying fibre architecture. From the diffusion parameters, neurite density (NODDI) was found to be more sensitive than fractional anisotropy (FA), underlining the limitation of FA in WM crossing fibre regions. In terms of sensitivity to different myelin content, we found that MWF, the mean diffusivity and chemical-shift imaging based MRS yielded the best discrimination between areas.
Multimodal assessment of WM microstructure was possible within clinically feasible scan times using a broad combination of quantitative microstructural MRI sequences. By assessing new microstructural WM parameters we were able to provide normative data and discuss their interpretation in regions with different myelin architecture, as well as their possible application as biomarker for WM disorders.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adult</subject><subject>Anisotropy</subject><subject>Architecture</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - metabolism</subject><subject>Brain Mapping</subject><subject>Brain research</subject><subject>Child</subject><subject>Children & youth</subject><subject>Cybernetics</subject><subject>Data processing</subject><subject>Diffusion</subject><subject>Diffusion parameters</subject><subject>Diffusion Tensor Imaging</subject><subject>Feasibility studies</subject><subject>Female</subject><subject>Gene mapping</subject><subject>Histology</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Magnetic Resonance Imaging</subject><subject>Magnetic resonance spectroscopy</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Microstructure</subject><subject>Microstructures</subject><subject>Myelin</subject><subject>Myelin sheath</subject><subject>Myelin Sheath - chemistry</subject><subject>Myelin Sheath - metabolism</subject><subject>Neuroimaging</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Order parameters</subject><subject>Parameter sensitivity</subject><subject>Physical Sciences</subject><subject>Research and Analysis Methods</subject><subject>Sequences</subject><subject>Sheaths</subject><subject>Spectroscopy</subject><subject>Substantia alba</subject><subject>White Matter - diagnostic imaging</subject><subject>White Matter - metabolism</subject><subject>White Matter - pathology</subject><subject>White Matter - ultrastructure</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAYhSMEYmPwDxBEQkJw0eLP2LlBKuOr0qpJhcGl5dlO4iqNi-0A-_c4azY1aBdTpMSxn3PiHL9vlj2HYA4xg-82rvedbOc715k5gAVDjDzIjmGJ0axAAD88GB9lT0LYAEAxL4rH2RFivOQMwONMLUIwIdiuzn82Npp8JWM0Pl9Z5V2Ivlex9ya3Xf7By3Rfm9q6LuR_bGzyj7aqjDddzFdXpk2rC68Gk73m4tp1tV4-zR5Vsg3m2fg8yS4-f_p--nV2dv5lebo4mymGaJwRqEFVoVIDrSusOOKAaV0ypBnQxBBFCMCq4IUugC4JRwybAtISEW0kxhSfZC_3vrvWBTHmEwTkhNCScowSsdwT2smN2Hm7lf5KOGnF9YTztZA-WtUawSApFEIElqgiEEt-CQhEkHJeGZnek9f78Wv95dZolWLwsp2YTlc624ja_RYUIkYZTAZvRgPvfvUmRLG1QZm2lZ1x_bBvChgHoOD3QAlFFNCSJfTVf-jdQYxULdO_2q5yaYtqMBULwhCCKd0h0PkdVLq02VqV6q6yaX4ieDsRJCaav7GWfQhi-W19f_b8x5R9fcA2RraxCa7t41CLU5DswaF6gzfV7XlAIIa2uUlDDG0jxrZJsheHZ3kruukT_A9NIRBJ</recordid><startdate>20161129</startdate><enddate>20161129</enddate><creator>Groeschel, Samuel</creator><creator>Hagberg, Gisela E</creator><creator>Schultz, Thomas</creator><creator>Balla, Dávid Z</creator><creator>Klose, Uwe</creator><creator>Hauser, Till-Karsten</creator><creator>Nägele, Thomas</creator><creator>Bieri, Oliver</creator><creator>Prasloski, Thomas</creator><creator>MacKay, Alex L</creator><creator>Krägeloh-Mann, Ingeborg</creator><creator>Scheffler, Klaus</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20161129</creationdate><title>Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI</title><author>Groeschel, Samuel ; Hagberg, Gisela E ; Schultz, Thomas ; Balla, Dávid Z ; Klose, Uwe ; Hauser, Till-Karsten ; Nägele, Thomas ; Bieri, Oliver ; Prasloski, Thomas ; MacKay, Alex L ; Krägeloh-Mann, Ingeborg ; Scheffler, Klaus</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c725t-41d0ff29d0ddf3c82807dd972d70d4e4c4403c686d60d948273e615924dea3353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Adult</topic><topic>Anisotropy</topic><topic>Architecture</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - metabolism</topic><topic>Brain Mapping</topic><topic>Brain research</topic><topic>Child</topic><topic>Children & youth</topic><topic>Cybernetics</topic><topic>Data processing</topic><topic>Diffusion</topic><topic>Diffusion parameters</topic><topic>Diffusion Tensor Imaging</topic><topic>Feasibility studies</topic><topic>Female</topic><topic>Gene mapping</topic><topic>Histology</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Magnetic Resonance Imaging</topic><topic>Magnetic resonance spectroscopy</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Microstructure</topic><topic>Microstructures</topic><topic>Myelin</topic><topic>Myelin sheath</topic><topic>Myelin Sheath - chemistry</topic><topic>Myelin Sheath - metabolism</topic><topic>Neuroimaging</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Order parameters</topic><topic>Parameter sensitivity</topic><topic>Physical Sciences</topic><topic>Research and Analysis Methods</topic><topic>Sequences</topic><topic>Sheaths</topic><topic>Spectroscopy</topic><topic>Substantia alba</topic><topic>White Matter - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Groeschel, Samuel</au><au>Hagberg, Gisela E</au><au>Schultz, Thomas</au><au>Balla, Dávid Z</au><au>Klose, Uwe</au><au>Hauser, Till-Karsten</au><au>Nägele, Thomas</au><au>Bieri, Oliver</au><au>Prasloski, Thomas</au><au>MacKay, Alex L</au><au>Krägeloh-Mann, Ingeborg</au><au>Scheffler, Klaus</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-11-29</date><risdate>2016</risdate><volume>11</volume><issue>11</issue><spage>e0167274</spage><epage>e0167274</epage><pages>e0167274-e0167274</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>We investigate how known differences in myelin architecture between regions along the cortico-spinal tract and frontal white matter (WM) in 19 healthy adolescents are reflected in several quantitative MRI parameters that have been proposed to non-invasively probe WM microstructure. In a clinically feasible scan time, both conventional imaging sequences as well as microstructural MRI parameters were assessed in order to quantitatively characterise WM regions that are known to differ in the thickness of their myelin sheaths, and in the presence of crossing or parallel fibre organisation.
We found that diffusion imaging, MR spectroscopy (MRS), myelin water fraction (MWF), Magnetization Transfer Imaging, and Quantitative Susceptibility Mapping were myelin-sensitive in different ways, giving complementary information for characterising WM microstructure with different underlying fibre architecture. From the diffusion parameters, neurite density (NODDI) was found to be more sensitive than fractional anisotropy (FA), underlining the limitation of FA in WM crossing fibre regions. In terms of sensitivity to different myelin content, we found that MWF, the mean diffusivity and chemical-shift imaging based MRS yielded the best discrimination between areas.
Multimodal assessment of WM microstructure was possible within clinically feasible scan times using a broad combination of quantitative microstructural MRI sequences. By assessing new microstructural WM parameters we were able to provide normative data and discuss their interpretation in regions with different myelin architecture, as well as their possible application as biomarker for WM disorders.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27898701</pmid><doi>10.1371/journal.pone.0167274</doi><tpages>e0167274</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adolescents Adult Anisotropy Architecture Biology and Life Sciences Biomarkers Brain Brain - diagnostic imaging Brain - metabolism Brain Mapping Brain research Child Children & youth Cybernetics Data processing Diffusion Diffusion parameters Diffusion Tensor Imaging Feasibility studies Female Gene mapping Histology Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Magnetic resonance spectroscopy Male Medicine and Health Sciences Microstructure Microstructures Myelin Myelin sheath Myelin Sheath - chemistry Myelin Sheath - metabolism Neuroimaging NMR Nuclear magnetic resonance Order parameters Parameter sensitivity Physical Sciences Research and Analysis Methods Sequences Sheaths Spectroscopy Substantia alba White Matter - diagnostic imaging White Matter - metabolism White Matter - pathology White Matter - ultrastructure Young Adult |
| title | Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T18%3A50%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessing%20White%20Matter%20Microstructure%20in%20Brain%20Regions%20with%20Different%20Myelin%20Architecture%20Using%20MRI&rft.jtitle=PloS%20one&rft.au=Groeschel,%20Samuel&rft.date=2016-11-29&rft.volume=11&rft.issue=11&rft.spage=e0167274&rft.epage=e0167274&rft.pages=e0167274-e0167274&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0167274&rft_dat=%3Cgale_plos_%3EA472218275%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1844595832&rft_id=info:pmid/27898701&rft_galeid=A472218275&rft_doaj_id=oai_doaj_org_article_7146c224192f413a8b04121588fea13a&rfr_iscdi=true |