MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging
The incidence of neurodegenerative diseases has shown an increasing trend. These conditions typically cause progressive functional disability. Identification of robust biomarkers of neurodegenerative diseases is a key imperative to facilitate early identification of the pathological features and to...
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| Veröffentlicht in: | Journal of magnetic resonance imaging 2020-12, Vol.52 (6), p.1620-1636 |
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| container_title | Journal of magnetic resonance imaging |
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| creator | Andica, Christina Kamagata, Koji Hatano, Taku Saito, Yuya Ogaki, Kotaro Hattori, Nobutaka Aoki, Shigeki |
| description | The incidence of neurodegenerative diseases has shown an increasing trend. These conditions typically cause progressive functional disability. Identification of robust biomarkers of neurodegenerative diseases is a key imperative to facilitate early identification of the pathological features and to foster a better understanding of the pathogenetic mechanisms of individual diseases. Diffusion tensor imaging (DTI) is the most widely used diffusion MRI technique for assessment of neurodegenerative diseases. The DTI parameters are promising biomarkers for evaluation of microstructural changes; however, some limitations of DTI restrict its wider clinical use. New diffusion MRI techniques, such as diffusion kurtosis imaging (DKI), bi‐tensor DTI, and neurite orientation density and dispersion imaging (NODDI) have been demonstrated to provide value addition to DTI for evaluation of neurodegenerative diseases. In this review article, we summarize the key technical aspects and provide an overview of the current state of knowledge regarding the role of DKI, bi‐tensor DTI, and NODDI as biomarkers of microstructural changes in representative neurodegenerative diseases including Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and Huntington's disease.
Level of Evidence
5
Technical Efficacy Stage
2 J. MAGN. RESON. IMAGING 2020;52:1620–1636. |
| doi_str_mv | 10.1002/jmri.27019 |
| format | Article |
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Level of Evidence
5
Technical Efficacy Stage
2 J. MAGN. RESON. IMAGING 2020;52:1620–1636.</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.27019</identifier><identifier>PMID: 31837086</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Alzheimer's disease ; Amyotrophic lateral sclerosis ; Biomarkers ; bi‐tensor diffusion tensor imaging ; Brain - diagnostic imaging ; Brain Diseases ; Diffusion ; diffusion kurtosis imaging ; Diffusion Magnetic Resonance Imaging ; Diffusion Tensor Imaging ; Evaluation ; Humans ; Huntington's disease ; Huntingtons disease ; Kurtosis ; Magnetic resonance imaging ; Mathematical analysis ; Medical imaging ; Movement disorders ; neurite orientation dispersion and density imaging ; Neurites ; Neurodegenerative diseases ; Neuroimaging ; Parkinson's disease ; Review ; Reviews ; single‐tensor diffusion tensor imaging ; Tensors</subject><ispartof>Journal of magnetic resonance imaging, 2020-12, Vol.52 (6), p.1620-1636</ispartof><rights>2019 The Authors. published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.</rights><rights>2019 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.</rights><rights>2019. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5149-bfb753075ac7ccd0704668a7a810cb164c052226cea3b58cf6748743652652453</citedby><cites>FETCH-LOGICAL-c5149-bfb753075ac7ccd0704668a7a810cb164c052226cea3b58cf6748743652652453</cites><orcidid>0000-0002-8491-0698 ; 0000-0002-9339-6950</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.27019$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.27019$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31837086$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Andica, Christina</creatorcontrib><creatorcontrib>Kamagata, Koji</creatorcontrib><creatorcontrib>Hatano, Taku</creatorcontrib><creatorcontrib>Saito, Yuya</creatorcontrib><creatorcontrib>Ogaki, Kotaro</creatorcontrib><creatorcontrib>Hattori, Nobutaka</creatorcontrib><creatorcontrib>Aoki, Shigeki</creatorcontrib><title>MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description>The incidence of neurodegenerative diseases has shown an increasing trend. These conditions typically cause progressive functional disability. Identification of robust biomarkers of neurodegenerative diseases is a key imperative to facilitate early identification of the pathological features and to foster a better understanding of the pathogenetic mechanisms of individual diseases. Diffusion tensor imaging (DTI) is the most widely used diffusion MRI technique for assessment of neurodegenerative diseases. The DTI parameters are promising biomarkers for evaluation of microstructural changes; however, some limitations of DTI restrict its wider clinical use. New diffusion MRI techniques, such as diffusion kurtosis imaging (DKI), bi‐tensor DTI, and neurite orientation density and dispersion imaging (NODDI) have been demonstrated to provide value addition to DTI for evaluation of neurodegenerative diseases. In this review article, we summarize the key technical aspects and provide an overview of the current state of knowledge regarding the role of DKI, bi‐tensor DTI, and NODDI as biomarkers of microstructural changes in representative neurodegenerative diseases including Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and Huntington's disease.
Level of Evidence
5
Technical Efficacy Stage
2 J. MAGN. RESON. IMAGING 2020;52:1620–1636.</description><subject>Alzheimer's disease</subject><subject>Amyotrophic lateral sclerosis</subject><subject>Biomarkers</subject><subject>bi‐tensor diffusion tensor imaging</subject><subject>Brain - diagnostic imaging</subject><subject>Brain Diseases</subject><subject>Diffusion</subject><subject>diffusion kurtosis imaging</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Diffusion Tensor Imaging</subject><subject>Evaluation</subject><subject>Humans</subject><subject>Huntington's disease</subject><subject>Huntingtons disease</subject><subject>Kurtosis</subject><subject>Magnetic resonance imaging</subject><subject>Mathematical analysis</subject><subject>Medical imaging</subject><subject>Movement disorders</subject><subject>neurite orientation dispersion and density imaging</subject><subject>Neurites</subject><subject>Neurodegenerative diseases</subject><subject>Neuroimaging</subject><subject>Parkinson's disease</subject><subject>Review</subject><subject>Reviews</subject><subject>single‐tensor diffusion tensor imaging</subject><subject>Tensors</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><recordid>eNp9kU1LAzEQhoMoVqsXf4AseBFhNd_ZvQi2tVqpCKLnkE2zNXV3U5Ou4r83tVrUgxCYMPPwMMMLwAGCpwhCfDarvT3FAqJ8A-wghnGKWcY34x8ykqIMig7YDWEGIcxzyrZBh6CMCJjxHTC-vU961tXKPxsfElcmAzM1jfFqYV9N0vPKNsnABucny_nA-NieJEPv6tguyzZY1ySjWk1tM90DW6Wqgtn_ql3wOLx86F-n47urUf9inGqGaJ4WZSEYgYIpLbSeQAEp55kSKkNQF4hTDeMRmGujSMEyXXJBM0EJZzg-ykgXnK-887aozUSbZuFVJefexjvepVNW_p409klO3asUglFCeBQcfwm8e2lNWMjaBm2qSjXGtUFiQijPBWJ5RI_-oDPX-iaeJzHlCHFO86XwZEVp70Lwplwvg6BchiSXIcnPkCJ8-HP9NfqdSgTQCnizlXn_RyVvbu9HK-kH8gibdw</recordid><startdate>202012</startdate><enddate>202012</enddate><creator>Andica, Christina</creator><creator>Kamagata, Koji</creator><creator>Hatano, Taku</creator><creator>Saito, Yuya</creator><creator>Ogaki, Kotaro</creator><creator>Hattori, Nobutaka</creator><creator>Aoki, Shigeki</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><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>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8491-0698</orcidid><orcidid>https://orcid.org/0000-0002-9339-6950</orcidid></search><sort><creationdate>202012</creationdate><title>MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging</title><author>Andica, Christina ; Kamagata, Koji ; Hatano, Taku ; Saito, Yuya ; Ogaki, Kotaro ; Hattori, Nobutaka ; Aoki, Shigeki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5149-bfb753075ac7ccd0704668a7a810cb164c052226cea3b58cf6748743652652453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alzheimer's disease</topic><topic>Amyotrophic lateral sclerosis</topic><topic>Biomarkers</topic><topic>bi‐tensor diffusion tensor imaging</topic><topic>Brain - diagnostic imaging</topic><topic>Brain Diseases</topic><topic>Diffusion</topic><topic>diffusion kurtosis imaging</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>Diffusion Tensor Imaging</topic><topic>Evaluation</topic><topic>Humans</topic><topic>Huntington's disease</topic><topic>Huntingtons disease</topic><topic>Kurtosis</topic><topic>Magnetic resonance imaging</topic><topic>Mathematical analysis</topic><topic>Medical imaging</topic><topic>Movement disorders</topic><topic>neurite orientation dispersion and density imaging</topic><topic>Neurites</topic><topic>Neurodegenerative diseases</topic><topic>Neuroimaging</topic><topic>Parkinson's disease</topic><topic>Review</topic><topic>Reviews</topic><topic>single‐tensor diffusion tensor imaging</topic><topic>Tensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andica, Christina</creatorcontrib><creatorcontrib>Kamagata, Koji</creatorcontrib><creatorcontrib>Hatano, Taku</creatorcontrib><creatorcontrib>Saito, Yuya</creatorcontrib><creatorcontrib>Ogaki, Kotaro</creatorcontrib><creatorcontrib>Hattori, Nobutaka</creatorcontrib><creatorcontrib>Aoki, Shigeki</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library Free Content</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</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>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andica, Christina</au><au>Kamagata, Koji</au><au>Hatano, Taku</au><au>Saito, Yuya</au><au>Ogaki, Kotaro</au><au>Hattori, Nobutaka</au><au>Aoki, Shigeki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2020-12</date><risdate>2020</risdate><volume>52</volume><issue>6</issue><spage>1620</spage><epage>1636</epage><pages>1620-1636</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract>The incidence of neurodegenerative diseases has shown an increasing trend. These conditions typically cause progressive functional disability. Identification of robust biomarkers of neurodegenerative diseases is a key imperative to facilitate early identification of the pathological features and to foster a better understanding of the pathogenetic mechanisms of individual diseases. Diffusion tensor imaging (DTI) is the most widely used diffusion MRI technique for assessment of neurodegenerative diseases. The DTI parameters are promising biomarkers for evaluation of microstructural changes; however, some limitations of DTI restrict its wider clinical use. New diffusion MRI techniques, such as diffusion kurtosis imaging (DKI), bi‐tensor DTI, and neurite orientation density and dispersion imaging (NODDI) have been demonstrated to provide value addition to DTI for evaluation of neurodegenerative diseases. In this review article, we summarize the key technical aspects and provide an overview of the current state of knowledge regarding the role of DKI, bi‐tensor DTI, and NODDI as biomarkers of microstructural changes in representative neurodegenerative diseases including Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and Huntington's disease.
Level of Evidence
5
Technical Efficacy Stage
2 J. MAGN. RESON. IMAGING 2020;52:1620–1636.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>31837086</pmid><doi>10.1002/jmri.27019</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-8491-0698</orcidid><orcidid>https://orcid.org/0000-0002-9339-6950</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Alzheimer's disease Amyotrophic lateral sclerosis Biomarkers bi‐tensor diffusion tensor imaging Brain - diagnostic imaging Brain Diseases Diffusion diffusion kurtosis imaging Diffusion Magnetic Resonance Imaging Diffusion Tensor Imaging Evaluation Humans Huntington's disease Huntingtons disease Kurtosis Magnetic resonance imaging Mathematical analysis Medical imaging Movement disorders neurite orientation dispersion and density imaging Neurites Neurodegenerative diseases Neuroimaging Parkinson's disease Review Reviews single‐tensor diffusion tensor imaging Tensors |
| title | MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging |
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