Characterizing the Clinical Features and Atrophy Patterns of MAPT-Related Frontotemporal Dementia With Disease Progression Modeling
Mutations in the gene cause frontotemporal dementia (FTD). Most previous studies investigating the neuroanatomical signature of mutations have grouped all different mutations together and shown an association with focal atrophy of the temporal lobe. The variability in atrophy patterns between each p...
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creator | Young, Alexandra L. Bocchetta, Martina Russell, Lucy L. Convery, Rhian S. Peakman, Georgia Todd, Emily Cash, David M. Greaves, Caroline V. van Swieten, John Jiskoot, Lize Seelaar, Harro Moreno, Fermin Sanchez-Valle, Raquel Borroni, Barbara Laforce, Robert Masellis, Mario Tartaglia, Maria Carmela Graff, Caroline Galimberti, Daniela Rowe, James B. Finger, Elizabeth Synofzik, Matthis Vandenberghe, Rik de Mendonça, Alexandre Tagliavini, Fabrizio Santana, Isabel Ducharme, Simon Butler, Chris Gerhard, Alex Levin, Johannes Danek, Adrian Otto, Markus Sorbi, Sandro Williams, Steven C.R. Alexander, Daniel C. Rohrer, Jonathan D. |
description | Mutations in the
gene cause frontotemporal dementia (FTD). Most previous studies investigating the neuroanatomical signature of
mutations have grouped all different mutations together and shown an association with focal atrophy of the temporal lobe. The variability in atrophy patterns between each particular
mutation is less well-characterized. We aimed to investigate whether there were distinct groups of
mutation carriers based on their neuroanatomical signature.
We applied Subtype and Stage Inference (SuStaIn), an unsupervised machine learning technique that identifies groups of individuals with distinct progression patterns, to characterize patterns of regional atrophy in
associated FTD within the Genetic FTD Initiative (GENFI) cohort study.
Eighty-two
mutation carriers were analyzed, the majority of whom had P301L, IVS10+16, or R406W mutations, along with 48 healthy noncarriers. SuStaIn identified 2 groups of
mutation carriers with distinct atrophy patterns: a temporal subtype, in which atrophy was most prominent in the hippocampus, amygdala, temporal cortex, and insula; and a frontotemporal subtype, in which atrophy was more localized to the lateral temporal lobe and anterior insula, as well as the orbitofrontal and ventromedial prefrontal cortex and anterior cingulate. There was one-to-one mapping between IVS10+16 and R406W mutations and the temporal subtype and near one-to-one mapping between P301L mutations and the frontotemporal subtype. There were differences in clinical symptoms and neuropsychological test scores between subtypes: the temporal subtype was associated with amnestic symptoms, whereas the frontotemporal subtype was associated with executive dysfunction.
Our results demonstrate that different
mutations give rise to distinct atrophy patterns and clinical phenotype, providing insights into the underlying disease biology and potential utility for patient stratification in therapeutic trials. |
doi_str_mv | 10.1212/WNL.0000000000012410 |
format | Article |
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gene cause frontotemporal dementia (FTD). Most previous studies investigating the neuroanatomical signature of
mutations have grouped all different mutations together and shown an association with focal atrophy of the temporal lobe. The variability in atrophy patterns between each particular
mutation is less well-characterized. We aimed to investigate whether there were distinct groups of
mutation carriers based on their neuroanatomical signature.
We applied Subtype and Stage Inference (SuStaIn), an unsupervised machine learning technique that identifies groups of individuals with distinct progression patterns, to characterize patterns of regional atrophy in
associated FTD within the Genetic FTD Initiative (GENFI) cohort study.
Eighty-two
mutation carriers were analyzed, the majority of whom had P301L, IVS10+16, or R406W mutations, along with 48 healthy noncarriers. SuStaIn identified 2 groups of
mutation carriers with distinct atrophy patterns: a temporal subtype, in which atrophy was most prominent in the hippocampus, amygdala, temporal cortex, and insula; and a frontotemporal subtype, in which atrophy was more localized to the lateral temporal lobe and anterior insula, as well as the orbitofrontal and ventromedial prefrontal cortex and anterior cingulate. There was one-to-one mapping between IVS10+16 and R406W mutations and the temporal subtype and near one-to-one mapping between P301L mutations and the frontotemporal subtype. There were differences in clinical symptoms and neuropsychological test scores between subtypes: the temporal subtype was associated with amnestic symptoms, whereas the frontotemporal subtype was associated with executive dysfunction.
Our results demonstrate that different
mutations give rise to distinct atrophy patterns and clinical phenotype, providing insights into the underlying disease biology and potential utility for patient stratification in therapeutic trials.</description><identifier>ISSN: 0028-3878</identifier><identifier>ISSN: 1526-632X</identifier><identifier>EISSN: 1526-632X</identifier><identifier>DOI: 10.1212/WNL.0000000000012410</identifier><identifier>PMID: 34158384</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins</publisher><subject>Adult ; Aged ; Atrophy - genetics ; Atrophy - pathology ; Brain - pathology ; Disease Progression ; Female ; Frontotemporal Dementia - genetics ; Frontotemporal Dementia - pathology ; Humans ; Image Interpretation, Computer-Assisted - methods ; Machine Learning ; Magnetic Resonance Imaging ; Male ; Medicin och hälsovetenskap ; Middle Aged ; Mutation ; Neuroimaging - methods ; tau Proteins - genetics</subject><ispartof>Neurology, 2021-08, Vol.97 (9), p.e941-e952</ispartof><rights>Lippincott Williams & Wilkins</rights><rights>Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.</rights><rights>Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. 2021 American Academy of Neurology</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5411-2ad37df31dccefd317dd19c69bab03dfc7fd3a2e77877251f42acf61263a54bb3</citedby><cites>FETCH-LOGICAL-c5411-2ad37df31dccefd317dd19c69bab03dfc7fd3a2e77877251f42acf61263a54bb3</cites><orcidid>0000-0001-6237-2502 ; 0000-0001-8857-5383 ; 0000-0003-1551-5691 ; 0000-0001-7833-616X ; 0000-0003-4273-4267 ; 0000-0002-9284-5953 ; 0000-0002-7772-781X ; 0000-0003-4299-1941 ; 0000-0003-1989-7527 ; 0000-0002-2031-490X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,552,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34158384$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:147723458$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Young, Alexandra L.</creatorcontrib><creatorcontrib>Bocchetta, Martina</creatorcontrib><creatorcontrib>Russell, Lucy L.</creatorcontrib><creatorcontrib>Convery, Rhian S.</creatorcontrib><creatorcontrib>Peakman, Georgia</creatorcontrib><creatorcontrib>Todd, Emily</creatorcontrib><creatorcontrib>Cash, David M.</creatorcontrib><creatorcontrib>Greaves, Caroline V.</creatorcontrib><creatorcontrib>van Swieten, John</creatorcontrib><creatorcontrib>Jiskoot, Lize</creatorcontrib><creatorcontrib>Seelaar, Harro</creatorcontrib><creatorcontrib>Moreno, Fermin</creatorcontrib><creatorcontrib>Sanchez-Valle, Raquel</creatorcontrib><creatorcontrib>Borroni, Barbara</creatorcontrib><creatorcontrib>Laforce, Robert</creatorcontrib><creatorcontrib>Masellis, Mario</creatorcontrib><creatorcontrib>Tartaglia, Maria Carmela</creatorcontrib><creatorcontrib>Graff, Caroline</creatorcontrib><creatorcontrib>Galimberti, Daniela</creatorcontrib><creatorcontrib>Rowe, James B.</creatorcontrib><creatorcontrib>Finger, Elizabeth</creatorcontrib><creatorcontrib>Synofzik, Matthis</creatorcontrib><creatorcontrib>Vandenberghe, Rik</creatorcontrib><creatorcontrib>de Mendonça, Alexandre</creatorcontrib><creatorcontrib>Tagliavini, Fabrizio</creatorcontrib><creatorcontrib>Santana, Isabel</creatorcontrib><creatorcontrib>Ducharme, Simon</creatorcontrib><creatorcontrib>Butler, Chris</creatorcontrib><creatorcontrib>Gerhard, Alex</creatorcontrib><creatorcontrib>Levin, Johannes</creatorcontrib><creatorcontrib>Danek, Adrian</creatorcontrib><creatorcontrib>Otto, Markus</creatorcontrib><creatorcontrib>Sorbi, Sandro</creatorcontrib><creatorcontrib>Williams, Steven C.R.</creatorcontrib><creatorcontrib>Alexander, Daniel C.</creatorcontrib><creatorcontrib>Rohrer, Jonathan D.</creatorcontrib><creatorcontrib>Genetic FTD Initiative (GENFI)</creatorcontrib><creatorcontrib>on behalf of the Genetic FTD Initiative (GENFI)</creatorcontrib><title>Characterizing the Clinical Features and Atrophy Patterns of MAPT-Related Frontotemporal Dementia With Disease Progression Modeling</title><title>Neurology</title><addtitle>Neurology</addtitle><description>Mutations in the
gene cause frontotemporal dementia (FTD). Most previous studies investigating the neuroanatomical signature of
mutations have grouped all different mutations together and shown an association with focal atrophy of the temporal lobe. The variability in atrophy patterns between each particular
mutation is less well-characterized. We aimed to investigate whether there were distinct groups of
mutation carriers based on their neuroanatomical signature.
We applied Subtype and Stage Inference (SuStaIn), an unsupervised machine learning technique that identifies groups of individuals with distinct progression patterns, to characterize patterns of regional atrophy in
associated FTD within the Genetic FTD Initiative (GENFI) cohort study.
Eighty-two
mutation carriers were analyzed, the majority of whom had P301L, IVS10+16, or R406W mutations, along with 48 healthy noncarriers. SuStaIn identified 2 groups of
mutation carriers with distinct atrophy patterns: a temporal subtype, in which atrophy was most prominent in the hippocampus, amygdala, temporal cortex, and insula; and a frontotemporal subtype, in which atrophy was more localized to the lateral temporal lobe and anterior insula, as well as the orbitofrontal and ventromedial prefrontal cortex and anterior cingulate. There was one-to-one mapping between IVS10+16 and R406W mutations and the temporal subtype and near one-to-one mapping between P301L mutations and the frontotemporal subtype. There were differences in clinical symptoms and neuropsychological test scores between subtypes: the temporal subtype was associated with amnestic symptoms, whereas the frontotemporal subtype was associated with executive dysfunction.
Our results demonstrate that different
mutations give rise to distinct atrophy patterns and clinical phenotype, providing insights into the underlying disease biology and potential utility for patient stratification in therapeutic trials.</description><subject>Adult</subject><subject>Aged</subject><subject>Atrophy - genetics</subject><subject>Atrophy - pathology</subject><subject>Brain - pathology</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Frontotemporal Dementia - genetics</subject><subject>Frontotemporal Dementia - pathology</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Machine Learning</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medicin och hälsovetenskap</subject><subject>Middle Aged</subject><subject>Mutation</subject><subject>Neuroimaging - methods</subject><subject>tau Proteins - genetics</subject><issn>0028-3878</issn><issn>1526-632X</issn><issn>1526-632X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNp1kktvEzEUhS0EoiHwDxDyks0Uv-aRDVKUEkBKIUJFZWd57DsZ08l4anuIypY_jkvShiLhja3rc75rHV-EXlJyShllby4_rU7JcVEmKHmEJjRnRVZw9u0xmhDCqoxXZXWCnoXwPYlyVs6eohMuaF7xSkzQr0WrvNIRvP1p-w2OLeBFZ3urVYeXoOLoIWDVGzyP3g3tDV6rmNR9wK7B5_P1RfYFOhXB4KV3fXQRtoPzyXwGW-ijVfjSxhaf2QAqAF57t0nEYF2Pz52B1GrzHD1pVBfgxWGfoq_LdxeLD9nq8_uPi_kq07mgNGPK8NI0nBqtoTGclsbQmS5mtaoJN40uU1ExKMuqLFlOG8GUbgrKCq5yUdd8irI9N-xgGGs5eLtV_kY6ZeWhdJVOIEVBSTVL-tl_9YN35mi6M1KROnORsp2it3tvEmzB6BRFCuUh4sFNb1u5cT9kJUiVkzIBXh8A3l2PEKLc2qCh61QPbgyS5UKIglSkSFKxl2rvQvDQ3LehRN7OikyzIv-dlWR79fcT7013w3Hk7lyXvjxcdeMOvGxBdbH9wysoFRkjLMXFKclu0ZT_BpqIzvc</recordid><startdate>20210831</startdate><enddate>20210831</enddate><creator>Young, Alexandra L.</creator><creator>Bocchetta, 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With Disease Progression Modeling</title><author>Young, Alexandra L. ; Bocchetta, Martina ; Russell, Lucy L. ; Convery, Rhian S. ; Peakman, Georgia ; Todd, Emily ; Cash, David M. ; Greaves, Caroline V. ; van Swieten, John ; Jiskoot, Lize ; Seelaar, Harro ; Moreno, Fermin ; Sanchez-Valle, Raquel ; Borroni, Barbara ; Laforce, Robert ; Masellis, Mario ; Tartaglia, Maria Carmela ; Graff, Caroline ; Galimberti, Daniela ; Rowe, James B. ; Finger, Elizabeth ; Synofzik, Matthis ; Vandenberghe, Rik ; de Mendonça, Alexandre ; Tagliavini, Fabrizio ; Santana, Isabel ; Ducharme, Simon ; Butler, Chris ; Gerhard, Alex ; Levin, Johannes ; Danek, Adrian ; Otto, Markus ; Sorbi, Sandro ; Williams, Steven C.R. ; Alexander, Daniel C. ; Rohrer, Jonathan 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genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Young, Alexandra L.</creatorcontrib><creatorcontrib>Bocchetta, Martina</creatorcontrib><creatorcontrib>Russell, Lucy L.</creatorcontrib><creatorcontrib>Convery, Rhian S.</creatorcontrib><creatorcontrib>Peakman, Georgia</creatorcontrib><creatorcontrib>Todd, Emily</creatorcontrib><creatorcontrib>Cash, David M.</creatorcontrib><creatorcontrib>Greaves, Caroline V.</creatorcontrib><creatorcontrib>van Swieten, John</creatorcontrib><creatorcontrib>Jiskoot, Lize</creatorcontrib><creatorcontrib>Seelaar, Harro</creatorcontrib><creatorcontrib>Moreno, Fermin</creatorcontrib><creatorcontrib>Sanchez-Valle, Raquel</creatorcontrib><creatorcontrib>Borroni, Barbara</creatorcontrib><creatorcontrib>Laforce, Robert</creatorcontrib><creatorcontrib>Masellis, Mario</creatorcontrib><creatorcontrib>Tartaglia, Maria Carmela</creatorcontrib><creatorcontrib>Graff, 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behalf of the Genetic FTD Initiative (GENFI)</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>Neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Young, Alexandra L.</au><au>Bocchetta, Martina</au><au>Russell, Lucy L.</au><au>Convery, Rhian S.</au><au>Peakman, Georgia</au><au>Todd, Emily</au><au>Cash, David M.</au><au>Greaves, Caroline V.</au><au>van Swieten, John</au><au>Jiskoot, Lize</au><au>Seelaar, Harro</au><au>Moreno, Fermin</au><au>Sanchez-Valle, Raquel</au><au>Borroni, Barbara</au><au>Laforce, Robert</au><au>Masellis, Mario</au><au>Tartaglia, Maria Carmela</au><au>Graff, Caroline</au><au>Galimberti, Daniela</au><au>Rowe, James B.</au><au>Finger, Elizabeth</au><au>Synofzik, Matthis</au><au>Vandenberghe, Rik</au><au>de Mendonça, Alexandre</au><au>Tagliavini, Fabrizio</au><au>Santana, Isabel</au><au>Ducharme, Simon</au><au>Butler, Chris</au><au>Gerhard, Alex</au><au>Levin, Johannes</au><au>Danek, Adrian</au><au>Otto, Markus</au><au>Sorbi, Sandro</au><au>Williams, Steven C.R.</au><au>Alexander, Daniel C.</au><au>Rohrer, Jonathan D.</au><aucorp>Genetic FTD Initiative (GENFI)</aucorp><aucorp>on behalf of the Genetic FTD Initiative (GENFI)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterizing the Clinical Features and Atrophy Patterns of MAPT-Related Frontotemporal Dementia With Disease Progression Modeling</atitle><jtitle>Neurology</jtitle><addtitle>Neurology</addtitle><date>2021-08-31</date><risdate>2021</risdate><volume>97</volume><issue>9</issue><spage>e941</spage><epage>e952</epage><pages>e941-e952</pages><issn>0028-3878</issn><issn>1526-632X</issn><eissn>1526-632X</eissn><abstract>Mutations in the
gene cause frontotemporal dementia (FTD). Most previous studies investigating the neuroanatomical signature of
mutations have grouped all different mutations together and shown an association with focal atrophy of the temporal lobe. The variability in atrophy patterns between each particular
mutation is less well-characterized. We aimed to investigate whether there were distinct groups of
mutation carriers based on their neuroanatomical signature.
We applied Subtype and Stage Inference (SuStaIn), an unsupervised machine learning technique that identifies groups of individuals with distinct progression patterns, to characterize patterns of regional atrophy in
associated FTD within the Genetic FTD Initiative (GENFI) cohort study.
Eighty-two
mutation carriers were analyzed, the majority of whom had P301L, IVS10+16, or R406W mutations, along with 48 healthy noncarriers. SuStaIn identified 2 groups of
mutation carriers with distinct atrophy patterns: a temporal subtype, in which atrophy was most prominent in the hippocampus, amygdala, temporal cortex, and insula; and a frontotemporal subtype, in which atrophy was more localized to the lateral temporal lobe and anterior insula, as well as the orbitofrontal and ventromedial prefrontal cortex and anterior cingulate. There was one-to-one mapping between IVS10+16 and R406W mutations and the temporal subtype and near one-to-one mapping between P301L mutations and the frontotemporal subtype. There were differences in clinical symptoms and neuropsychological test scores between subtypes: the temporal subtype was associated with amnestic symptoms, whereas the frontotemporal subtype was associated with executive dysfunction.
Our results demonstrate that different
mutations give rise to distinct atrophy patterns and clinical phenotype, providing insights into the underlying disease biology and potential utility for patient stratification in therapeutic trials.</abstract><cop>United States</cop><pub>Lippincott Williams & Wilkins</pub><pmid>34158384</pmid><doi>10.1212/WNL.0000000000012410</doi><orcidid>https://orcid.org/0000-0001-6237-2502</orcidid><orcidid>https://orcid.org/0000-0001-8857-5383</orcidid><orcidid>https://orcid.org/0000-0003-1551-5691</orcidid><orcidid>https://orcid.org/0000-0001-7833-616X</orcidid><orcidid>https://orcid.org/0000-0003-4273-4267</orcidid><orcidid>https://orcid.org/0000-0002-9284-5953</orcidid><orcidid>https://orcid.org/0000-0002-7772-781X</orcidid><orcidid>https://orcid.org/0000-0003-4299-1941</orcidid><orcidid>https://orcid.org/0000-0003-1989-7527</orcidid><orcidid>https://orcid.org/0000-0002-2031-490X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0028-3878 |
ispartof | Neurology, 2021-08, Vol.97 (9), p.e941-e952 |
issn | 0028-3878 1526-632X 1526-632X |
language | eng |
recordid | cdi_swepub_primary_oai_swepub_ki_se_461089 |
source | MEDLINE; SWEPUB Freely available online; Journals@Ovid Complete; Alma/SFX Local Collection |
subjects | Adult Aged Atrophy - genetics Atrophy - pathology Brain - pathology Disease Progression Female Frontotemporal Dementia - genetics Frontotemporal Dementia - pathology Humans Image Interpretation, Computer-Assisted - methods Machine Learning Magnetic Resonance Imaging Male Medicin och hälsovetenskap Middle Aged Mutation Neuroimaging - methods tau Proteins - genetics |
title | Characterizing the Clinical Features and Atrophy Patterns of MAPT-Related Frontotemporal Dementia With Disease Progression Modeling |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T11%3A23%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characterizing%20the%20Clinical%20Features%20and%20Atrophy%20Patterns%20of%20MAPT-Related%20Frontotemporal%20Dementia%20With%20Disease%20Progression%20Modeling&rft.jtitle=Neurology&rft.au=Young,%20Alexandra%20L.&rft.aucorp=Genetic%20FTD%20Initiative%20(GENFI)&rft.date=2021-08-31&rft.volume=97&rft.issue=9&rft.spage=e941&rft.epage=e952&rft.pages=e941-e952&rft.issn=0028-3878&rft.eissn=1526-632X&rft_id=info:doi/10.1212/WNL.0000000000012410&rft_dat=%3Cproquest_swepu%3E2544460806%3C/proquest_swepu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2544460806&rft_id=info:pmid/34158384&rfr_iscdi=true |