Longitudinal anatomic, functional, and molecular characterization of Pick disease phenotypes
To characterize longitudinal MRI and PET abnormalities in autopsy-confirmed Pick disease (PiD) and determine how patterns of neurodegeneration differ with respect to clinical syndrome. Seventeen patients with PiD were identified who had antemortem MRI (8 with behavioral variant frontotemporal dement...
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creator | Whitwell, Jennifer L. Tosakulwong, Nirubol Schwarz, Christopher C. Senjem, Matthew L. Spychalla, Anthony J. Duffy, Joseph R. Graff-Radford, Jon Machulda, Mary M. Boeve, Bradley F. Knopman, David S. Petersen, Ronald C. Lowe, Val J. Jack, Clifford R. Dickson, Dennis W. Parisi, Joseph E. Josephs, Keith A. |
description | To characterize longitudinal MRI and PET abnormalities in autopsy-confirmed Pick disease (PiD) and determine how patterns of neurodegeneration differ with respect to clinical syndrome.
Seventeen patients with PiD were identified who had antemortem MRI (8 with behavioral variant frontotemporal dementia [bvFTD-PiD], 6 with nonfluent/agrammatic primary progressive aphasia [naPPA-PiD], 1 with semantic primary progressive aphasia, 1 with unclassified primary progressive aphasia, and 1 with corticobasal syndrome). Thirteen patients had serial MRI for a total of 56 MRIs, 7 had [
F]fluorodeoxyglucose PET, 4 had Pittsburgh compound B (PiB) PET, and 1 patient had [
F]flortaucipir PET. Cross-sectional and longitudinal comparisons of gray matter volume and metabolism were performed between bvFTD-PiD, naPPA-PiD, and controls. Cortical PiB summaries were calculated to determine β-amyloid positivity.
The bvFTD-PiD and naPPA-PiD groups showed different foci of volume loss and hypometabolism early in the disease, with bvFTD-PiD involving bilateral prefrontal and anterior temporal cortices and naPPA-PiD involving left inferior frontal gyrus, insula, and orbitofrontal cortex. However, patterns merged over time, with progressive spread into prefrontal and anterior temporal lobe in naPPA-PiD, and eventual involvement of posterior temporal lobe, motor cortex, and parietal lobe in both groups. Rates of frontotemporal atrophy were faster in bvFTD-PiD than naPPA-PiD. One patient was β-amyloid-positive on PET with low Alzheimer neuropathologic changes at autopsy. Flortaucipir PET showed elevated uptake in frontotemporal white matter.
Patterns of atrophy and hypometabolism differ in PiD according to presenting syndrome, although patterns of neurodegeneration appear to converge over time. |
doi_str_mv | 10.1212/WNL.0000000000010948 |
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Seventeen patients with PiD were identified who had antemortem MRI (8 with behavioral variant frontotemporal dementia [bvFTD-PiD], 6 with nonfluent/agrammatic primary progressive aphasia [naPPA-PiD], 1 with semantic primary progressive aphasia, 1 with unclassified primary progressive aphasia, and 1 with corticobasal syndrome). Thirteen patients had serial MRI for a total of 56 MRIs, 7 had [
F]fluorodeoxyglucose PET, 4 had Pittsburgh compound B (PiB) PET, and 1 patient had [
F]flortaucipir PET. Cross-sectional and longitudinal comparisons of gray matter volume and metabolism were performed between bvFTD-PiD, naPPA-PiD, and controls. Cortical PiB summaries were calculated to determine β-amyloid positivity.
The bvFTD-PiD and naPPA-PiD groups showed different foci of volume loss and hypometabolism early in the disease, with bvFTD-PiD involving bilateral prefrontal and anterior temporal cortices and naPPA-PiD involving left inferior frontal gyrus, insula, and orbitofrontal cortex. However, patterns merged over time, with progressive spread into prefrontal and anterior temporal lobe in naPPA-PiD, and eventual involvement of posterior temporal lobe, motor cortex, and parietal lobe in both groups. Rates of frontotemporal atrophy were faster in bvFTD-PiD than naPPA-PiD. One patient was β-amyloid-positive on PET with low Alzheimer neuropathologic changes at autopsy. Flortaucipir PET showed elevated uptake in frontotemporal white matter.
Patterns of atrophy and hypometabolism differ in PiD according to presenting syndrome, although patterns of neurodegeneration appear to converge over time.</description><identifier>ISSN: 0028-3878</identifier><identifier>EISSN: 1526-632X</identifier><identifier>DOI: 10.1212/WNL.0000000000010948</identifier><identifier>PMID: 32989107</identifier><language>eng</language><publisher>United States: American Academy of Neurology</publisher><subject>Aged ; Amyloid beta-Peptides - metabolism ; Aphasia, Primary Progressive - diagnostic imaging ; Aphasia, Primary Progressive - metabolism ; Aphasia, Primary Progressive - pathology ; Atrophy - pathology ; Cerebral Cortex - diagnostic imaging ; Cerebral Cortex - metabolism ; Cerebral Cortex - pathology ; Cross-Sectional Studies ; Female ; Gray Matter - diagnostic imaging ; Gray Matter - metabolism ; Gray Matter - pathology ; Humans ; Longitudinal Studies ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Phenotype ; Pick Disease of the Brain - diagnostic imaging ; Pick Disease of the Brain - metabolism ; Pick Disease of the Brain - pathology ; Positron-Emission Tomography ; Primary Progressive Nonfluent Aphasia - diagnostic imaging ; Primary Progressive Nonfluent Aphasia - metabolism ; Primary Progressive Nonfluent Aphasia - pathology ; White Matter - diagnostic imaging ; White Matter - metabolism ; White Matter - pathology</subject><ispartof>Neurology, 2020-12, Vol.95 (24), p.e3190-e3202</ispartof><rights>American Academy of Neurology</rights><rights>2020 American Academy of Neurology.</rights><rights>2020 American Academy of Neurology 2020 American Academy of Neurology</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4538-74896dcb1e4cc42725962449bc6fac0d14c2253823fc75b1defe782d381537923</citedby><cites>FETCH-LOGICAL-c4538-74896dcb1e4cc42725962449bc6fac0d14c2253823fc75b1defe782d381537923</cites><orcidid>0000-0001-9308-9275 ; 0000-0001-7189-7917</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32989107$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Whitwell, Jennifer L.</creatorcontrib><creatorcontrib>Tosakulwong, Nirubol</creatorcontrib><creatorcontrib>Schwarz, Christopher C.</creatorcontrib><creatorcontrib>Senjem, Matthew L.</creatorcontrib><creatorcontrib>Spychalla, Anthony J.</creatorcontrib><creatorcontrib>Duffy, Joseph R.</creatorcontrib><creatorcontrib>Graff-Radford, Jon</creatorcontrib><creatorcontrib>Machulda, Mary M.</creatorcontrib><creatorcontrib>Boeve, Bradley F.</creatorcontrib><creatorcontrib>Knopman, David S.</creatorcontrib><creatorcontrib>Petersen, Ronald C.</creatorcontrib><creatorcontrib>Lowe, Val J.</creatorcontrib><creatorcontrib>Jack, Clifford R.</creatorcontrib><creatorcontrib>Dickson, Dennis W.</creatorcontrib><creatorcontrib>Parisi, Joseph E.</creatorcontrib><creatorcontrib>Josephs, Keith A.</creatorcontrib><title>Longitudinal anatomic, functional, and molecular characterization of Pick disease phenotypes</title><title>Neurology</title><addtitle>Neurology</addtitle><description>To characterize longitudinal MRI and PET abnormalities in autopsy-confirmed Pick disease (PiD) and determine how patterns of neurodegeneration differ with respect to clinical syndrome.
Seventeen patients with PiD were identified who had antemortem MRI (8 with behavioral variant frontotemporal dementia [bvFTD-PiD], 6 with nonfluent/agrammatic primary progressive aphasia [naPPA-PiD], 1 with semantic primary progressive aphasia, 1 with unclassified primary progressive aphasia, and 1 with corticobasal syndrome). Thirteen patients had serial MRI for a total of 56 MRIs, 7 had [
F]fluorodeoxyglucose PET, 4 had Pittsburgh compound B (PiB) PET, and 1 patient had [
F]flortaucipir PET. Cross-sectional and longitudinal comparisons of gray matter volume and metabolism were performed between bvFTD-PiD, naPPA-PiD, and controls. Cortical PiB summaries were calculated to determine β-amyloid positivity.
The bvFTD-PiD and naPPA-PiD groups showed different foci of volume loss and hypometabolism early in the disease, with bvFTD-PiD involving bilateral prefrontal and anterior temporal cortices and naPPA-PiD involving left inferior frontal gyrus, insula, and orbitofrontal cortex. However, patterns merged over time, with progressive spread into prefrontal and anterior temporal lobe in naPPA-PiD, and eventual involvement of posterior temporal lobe, motor cortex, and parietal lobe in both groups. Rates of frontotemporal atrophy were faster in bvFTD-PiD than naPPA-PiD. One patient was β-amyloid-positive on PET with low Alzheimer neuropathologic changes at autopsy. Flortaucipir PET showed elevated uptake in frontotemporal white matter.
Patterns of atrophy and hypometabolism differ in PiD according to presenting syndrome, although patterns of neurodegeneration appear to converge over time.</description><subject>Aged</subject><subject>Amyloid beta-Peptides - metabolism</subject><subject>Aphasia, Primary Progressive - diagnostic imaging</subject><subject>Aphasia, Primary Progressive - metabolism</subject><subject>Aphasia, Primary Progressive - pathology</subject><subject>Atrophy - pathology</subject><subject>Cerebral Cortex - diagnostic imaging</subject><subject>Cerebral Cortex - metabolism</subject><subject>Cerebral Cortex - pathology</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Gray Matter - diagnostic imaging</subject><subject>Gray Matter - metabolism</subject><subject>Gray Matter - pathology</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Phenotype</subject><subject>Pick Disease of the Brain - diagnostic imaging</subject><subject>Pick Disease of the Brain - metabolism</subject><subject>Pick Disease of the Brain - pathology</subject><subject>Positron-Emission Tomography</subject><subject>Primary Progressive Nonfluent Aphasia - diagnostic imaging</subject><subject>Primary Progressive Nonfluent Aphasia - metabolism</subject><subject>Primary Progressive Nonfluent Aphasia - pathology</subject><subject>White Matter - diagnostic imaging</subject><subject>White Matter - metabolism</subject><subject>White Matter - pathology</subject><issn>0028-3878</issn><issn>1526-632X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkUtP3TAQhS3UCi6Uf4CqLLsg4Ff82FSqUAuVriiLVu2ikuXrTIiLE9_aSRH8enzLq3Q2Ix1_c2bkg9ABwUeEEnr8_Xx5hJ-LYM3VFlqQhopaMPrjFVpgTFXNlFQ7aDfnXwVqqNTbaIdRrTTBcoF-LuN46ae59aMNlR3tFAfvDqtuHt3kYxEPi9pWQwzg5mBT5XqbrJsg-Vu7IarYVRfeXVWtz2AzVOsexjjdrCG_Qa87GzLsP_Q99O3Tx68nZ_Xyy-nnkw_L2vGGqVpypUXrVgS4c5xK2mhBOdcrJzrrcEu4o7SAlHVONivSQgdS0ZYp0jCpKdtD7-991_NqgNbBOCUbzDr5waYbE603L19G35vL-MdIxYQQuhi8ezBI8fcMeTKDzw5CsCPEOZtyjWSEY8kKyu9Rl2LOCbqnNQSbTTCmBGP-D6aMvf33xKehxySefa9jKJ-br8J8Dcn0YMPU__UThPCaYorLlgbXG0mxOzxtmno</recordid><startdate>20201215</startdate><enddate>20201215</enddate><creator>Whitwell, Jennifer L.</creator><creator>Tosakulwong, Nirubol</creator><creator>Schwarz, Christopher C.</creator><creator>Senjem, Matthew L.</creator><creator>Spychalla, Anthony J.</creator><creator>Duffy, Joseph R.</creator><creator>Graff-Radford, Jon</creator><creator>Machulda, Mary M.</creator><creator>Boeve, Bradley F.</creator><creator>Knopman, David S.</creator><creator>Petersen, Ronald C.</creator><creator>Lowe, Val J.</creator><creator>Jack, Clifford R.</creator><creator>Dickson, Dennis W.</creator><creator>Parisi, Joseph E.</creator><creator>Josephs, Keith A.</creator><general>American Academy of Neurology</general><general>Lippincott Williams & Wilkins</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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9308-9275</orcidid><orcidid>https://orcid.org/0000-0001-7189-7917</orcidid></search><sort><creationdate>20201215</creationdate><title>Longitudinal anatomic, functional, and molecular characterization of Pick disease phenotypes</title><author>Whitwell, Jennifer L. ; Tosakulwong, Nirubol ; Schwarz, Christopher C. ; Senjem, Matthew L. ; Spychalla, Anthony J. ; Duffy, Joseph R. ; Graff-Radford, Jon ; Machulda, Mary M. ; Boeve, Bradley F. ; Knopman, David S. ; Petersen, Ronald C. ; Lowe, Val J. ; Jack, Clifford R. ; Dickson, Dennis W. ; Parisi, Joseph E. ; Josephs, Keith A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4538-74896dcb1e4cc42725962449bc6fac0d14c2253823fc75b1defe782d381537923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Amyloid beta-Peptides - metabolism</topic><topic>Aphasia, Primary Progressive - diagnostic imaging</topic><topic>Aphasia, Primary Progressive - metabolism</topic><topic>Aphasia, Primary Progressive - pathology</topic><topic>Atrophy - pathology</topic><topic>Cerebral Cortex - diagnostic imaging</topic><topic>Cerebral Cortex - metabolism</topic><topic>Cerebral Cortex - pathology</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Gray Matter - diagnostic imaging</topic><topic>Gray Matter - metabolism</topic><topic>Gray Matter - pathology</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Phenotype</topic><topic>Pick Disease of the Brain - diagnostic imaging</topic><topic>Pick Disease of the Brain - metabolism</topic><topic>Pick Disease of the Brain - pathology</topic><topic>Positron-Emission Tomography</topic><topic>Primary Progressive Nonfluent Aphasia - diagnostic imaging</topic><topic>Primary Progressive Nonfluent Aphasia - metabolism</topic><topic>Primary Progressive Nonfluent Aphasia - pathology</topic><topic>White Matter - diagnostic imaging</topic><topic>White Matter - metabolism</topic><topic>White Matter - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Whitwell, Jennifer L.</creatorcontrib><creatorcontrib>Tosakulwong, Nirubol</creatorcontrib><creatorcontrib>Schwarz, Christopher C.</creatorcontrib><creatorcontrib>Senjem, Matthew L.</creatorcontrib><creatorcontrib>Spychalla, Anthony J.</creatorcontrib><creatorcontrib>Duffy, Joseph R.</creatorcontrib><creatorcontrib>Graff-Radford, Jon</creatorcontrib><creatorcontrib>Machulda, Mary M.</creatorcontrib><creatorcontrib>Boeve, Bradley F.</creatorcontrib><creatorcontrib>Knopman, David S.</creatorcontrib><creatorcontrib>Petersen, Ronald C.</creatorcontrib><creatorcontrib>Lowe, Val J.</creatorcontrib><creatorcontrib>Jack, Clifford R.</creatorcontrib><creatorcontrib>Dickson, Dennis W.</creatorcontrib><creatorcontrib>Parisi, Joseph E.</creatorcontrib><creatorcontrib>Josephs, Keith A.</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><jtitle>Neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Whitwell, Jennifer L.</au><au>Tosakulwong, Nirubol</au><au>Schwarz, Christopher C.</au><au>Senjem, Matthew L.</au><au>Spychalla, Anthony J.</au><au>Duffy, Joseph R.</au><au>Graff-Radford, Jon</au><au>Machulda, Mary M.</au><au>Boeve, Bradley F.</au><au>Knopman, David S.</au><au>Petersen, Ronald C.</au><au>Lowe, Val J.</au><au>Jack, Clifford R.</au><au>Dickson, Dennis W.</au><au>Parisi, Joseph E.</au><au>Josephs, Keith A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Longitudinal anatomic, functional, and molecular characterization of Pick disease phenotypes</atitle><jtitle>Neurology</jtitle><addtitle>Neurology</addtitle><date>2020-12-15</date><risdate>2020</risdate><volume>95</volume><issue>24</issue><spage>e3190</spage><epage>e3202</epage><pages>e3190-e3202</pages><issn>0028-3878</issn><eissn>1526-632X</eissn><abstract>To characterize longitudinal MRI and PET abnormalities in autopsy-confirmed Pick disease (PiD) and determine how patterns of neurodegeneration differ with respect to clinical syndrome.
Seventeen patients with PiD were identified who had antemortem MRI (8 with behavioral variant frontotemporal dementia [bvFTD-PiD], 6 with nonfluent/agrammatic primary progressive aphasia [naPPA-PiD], 1 with semantic primary progressive aphasia, 1 with unclassified primary progressive aphasia, and 1 with corticobasal syndrome). Thirteen patients had serial MRI for a total of 56 MRIs, 7 had [
F]fluorodeoxyglucose PET, 4 had Pittsburgh compound B (PiB) PET, and 1 patient had [
F]flortaucipir PET. Cross-sectional and longitudinal comparisons of gray matter volume and metabolism were performed between bvFTD-PiD, naPPA-PiD, and controls. Cortical PiB summaries were calculated to determine β-amyloid positivity.
The bvFTD-PiD and naPPA-PiD groups showed different foci of volume loss and hypometabolism early in the disease, with bvFTD-PiD involving bilateral prefrontal and anterior temporal cortices and naPPA-PiD involving left inferior frontal gyrus, insula, and orbitofrontal cortex. However, patterns merged over time, with progressive spread into prefrontal and anterior temporal lobe in naPPA-PiD, and eventual involvement of posterior temporal lobe, motor cortex, and parietal lobe in both groups. Rates of frontotemporal atrophy were faster in bvFTD-PiD than naPPA-PiD. One patient was β-amyloid-positive on PET with low Alzheimer neuropathologic changes at autopsy. Flortaucipir PET showed elevated uptake in frontotemporal white matter.
Patterns of atrophy and hypometabolism differ in PiD according to presenting syndrome, although patterns of neurodegeneration appear to converge over time.</abstract><cop>United States</cop><pub>American Academy of Neurology</pub><pmid>32989107</pmid><doi>10.1212/WNL.0000000000010948</doi><orcidid>https://orcid.org/0000-0001-9308-9275</orcidid><orcidid>https://orcid.org/0000-0001-7189-7917</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Amyloid beta-Peptides - metabolism Aphasia, Primary Progressive - diagnostic imaging Aphasia, Primary Progressive - metabolism Aphasia, Primary Progressive - pathology Atrophy - pathology Cerebral Cortex - diagnostic imaging Cerebral Cortex - metabolism Cerebral Cortex - pathology Cross-Sectional Studies Female Gray Matter - diagnostic imaging Gray Matter - metabolism Gray Matter - pathology Humans Longitudinal Studies Magnetic Resonance Imaging Male Middle Aged Phenotype Pick Disease of the Brain - diagnostic imaging Pick Disease of the Brain - metabolism Pick Disease of the Brain - pathology Positron-Emission Tomography Primary Progressive Nonfluent Aphasia - diagnostic imaging Primary Progressive Nonfluent Aphasia - metabolism Primary Progressive Nonfluent Aphasia - pathology White Matter - diagnostic imaging White Matter - metabolism White Matter - pathology |
title | Longitudinal anatomic, functional, and molecular characterization of Pick disease phenotypes |
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