In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis

Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of therapeutic strategies. Magnetic resonance imaging texture analysis (MRTA) has been used previously to extract texture descriptors from structural clini...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in neuroscience Vol. 11; p. 599
Main Authors Colgan, Niall, Ganeshan, Balaji, Harrison, Ian F., Ismail, Ozama, Holmes, Holly E., Wells, Jack A., Powell, Nick M., O'Callaghan, James M., O'Neill, Michael J., Murray, Tracey K., Ahmed, Zeshan, Collins, Emily C., Johnson, Ross A., Groves, Ashley, Lythgoe, Mark F.
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 06.11.2017
Frontiers Media S.A
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of therapeutic strategies. Magnetic resonance imaging texture analysis (MRTA) has been used previously to extract texture descriptors from structural clinical scans in AD to determine cerebral tissue heterogeneity. In this study, we examined the potential of MRTA to specifically identify tau pathology in an AD mouse model and compared the MRTA metrics to histological measures of tau burden. MRTA was applied to T2 weighted high-resolution MR images of nine 8.5-month-old rTg4510 tau pathology (TG) mice and 16 litter matched wild-type (WT) mice. MRTA comprised of the filtration-histogram technique, where the filtration step extracted and enhanced features of different sizes (fine, medium, and coarse texture scales), followed by quantification of texture using histogram analysis (mean gray level intensity, mean intensity, entropy, uniformity, skewness, standard-deviation, and kurtosis). MRTA was applied to manually segmented regions of interest (ROI) drawn within the cortex, hippocampus, and thalamus regions and the level of tau burden was assessed in equivalent regions using histology. Texture parameters were markedly different between WT and TG in the cortex (E, < 0.01, K, < 0.01), the hippocampus (K, < 0.05) and in the thalamus (K, < 0.01). In addition, we observed significant correlations between histological measurements of tau burden and kurtosis in the cortex, hippocampus and thalamus. MRTA successfully differentiated WT and TG in brain regions with varying degrees of tau pathology (cortex, hippocampus, and thalamus) based on T2 weighted MR images. Furthermore, the kurtosis measurement correlated with histological measures of tau burden. This initial study indicates that MRTA may have a role in the early diagnosis of AD and the assessment of tau pathology using routinely acquired structural MR images.
AbstractList Background: Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of therapeutic strategies. Magnetic resonance imaging texture analysis (MRTA) has been used previously to extract texture descriptors from structural clinical scans in AD to determine cerebral tissue heterogeneity. In this study, we examined the potential of MRTA to specifically identify tau pathology in an AD mouse model and compared the MRTA metrics to histological measures of tau burden.Methods: MRTA was applied to T2 weighted high-resolution MR images of nine 8.5-month-old rTg4510 tau pathology (TG) mice and 16 litter matched wild-type (WT) mice. MRTA comprised of the filtration-histogram technique, where the filtration step extracted and enhanced features of different sizes (fine, medium, and coarse texture scales), followed by quantification of texture using histogram analysis (mean gray level intensity, mean intensity, entropy, uniformity, skewness, standard-deviation, and kurtosis). MRTA was applied to manually segmented regions of interest (ROI) drawn within the cortex, hippocampus, and thalamus regions and the level of tau burden was assessed in equivalent regions using histology.Results: Texture parameters were markedly different between WT and TG in the cortex (E, p < 0.01, K, p < 0.01), the hippocampus (K, p < 0.05) and in the thalamus (K, p < 0.01). In addition, we observed significant correlations between histological measurements of tau burden and kurtosis in the cortex, hippocampus and thalamus.Conclusions: MRTA successfully differentiated WT and TG in brain regions with varying degrees of tau pathology (cortex, hippocampus, and thalamus) based on T2 weighted MR images. Furthermore, the kurtosis measurement correlated with histological measures of tau burden. This initial study indicates that MRTA may have a role in the early diagnosis of AD and the assessment of tau pathology using routinely acquired structural MR images.
Background: Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of therapeutic strategies. Magnetic resonance imaging texture analysis (MRTA) has been used previously to extract texture descriptors from structural clinical scans in AD to determine cerebral tissue heterogeneity. In this study, we examined the potential of MRTA to specifically identify tau pathology in an AD mouse model and compared the MRTA metrics to histological measures of tau burden. Methods: MRTA was applied to T2 weighted high-resolution MR images of nine 8.5-month-old rTg4510 tau pathology (TG) mice and 16 litter matched wild-type (WT) mice. MRTA comprised of the filtration-histogram technique, where the filtration step extracted and enhanced features of different sizes (fine, medium, and coarse texture scales), followed by quantification of texture using histogram analysis (mean gray level intensity, mean intensity, entropy, uniformity, skewness, standard-deviation, and kurtosis). MRTA was applied to manually segmented regions of interest (ROI) drawn within the cortex, hippocampus, and thalamus regions and the level of tau burden was assessed in equivalent regions using histology. Results: Texture parameters were markedly different between WT and TG in the cortex (E, p < 0.01, K, p < 0.01), the hippocampus (K, p < 0.05) and in the thalamus (K, p < 0.01). In addition, we observed significant correlations between histological measurements of tau burden and kurtosis in the cortex, hippocampus and thalamus. Conclusions: MRTA successfully differentiated WT and TG in brain regions with varying degrees of tau pathology (cortex, hippocampus, and thalamus) based on T2 weighted MR images. Furthermore, the kurtosis measurement correlated with histological measures of tau burden. This initial study indicates that MRTA may have a role in the early diagnosis of AD and the assessment of tau pathology using routinely acquired structural MR images.Background: Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of therapeutic strategies. Magnetic resonance imaging texture analysis (MRTA) has been used previously to extract texture descriptors from structural clinical scans in AD to determine cerebral tissue heterogeneity. In this study, we examined the potential of MRTA to specifically identify tau pathology in an AD mouse model and compared the MRTA metrics to histological measures of tau burden. Methods: MRTA was applied to T2 weighted high-resolution MR images of nine 8.5-month-old rTg4510 tau pathology (TG) mice and 16 litter matched wild-type (WT) mice. MRTA comprised of the filtration-histogram technique, where the filtration step extracted and enhanced features of different sizes (fine, medium, and coarse texture scales), followed by quantification of texture using histogram analysis (mean gray level intensity, mean intensity, entropy, uniformity, skewness, standard-deviation, and kurtosis). MRTA was applied to manually segmented regions of interest (ROI) drawn within the cortex, hippocampus, and thalamus regions and the level of tau burden was assessed in equivalent regions using histology. Results: Texture parameters were markedly different between WT and TG in the cortex (E, p < 0.01, K, p < 0.01), the hippocampus (K, p < 0.05) and in the thalamus (K, p < 0.01). In addition, we observed significant correlations between histological measurements of tau burden and kurtosis in the cortex, hippocampus and thalamus. Conclusions: MRTA successfully differentiated WT and TG in brain regions with varying degrees of tau pathology (cortex, hippocampus, and thalamus) based on T2 weighted MR images. Furthermore, the kurtosis measurement correlated with histological measures of tau burden. This initial study indicates that MRTA may have a role in the early diagnosis of AD and the assessment of tau pathology using routinely acquired structural MR images.
Background: Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of therapeutic strategies. Magnetic resonance imaging texture analysis (MRTA) has been used previously to extract texture descriptors from structural clinical scans in AD to determine cerebral tissue heterogeneity. In this study, we examined the potential of MRTA to specifically identify tau pathology in an AD mouse model and compared the MRTA metrics to histological measures of tau burden. Methods: MRTA was applied to T2 weighted high-resolution MR images of nine 8.5-month-old rTg4510 tau pathology (TG) mice and 16 litter matched wild-type (WT) mice. MRTA comprised of the filtration-histogram technique, where the filtration step extracted and enhanced features of different sizes (fine, medium, and coarse texture scales), followed by quantification of texture using histogram analysis (mean gray level intensity, mean intensity, entropy, uniformity, skewness, standard-deviation, and kurtosis). MRTA was applied to manually segmented regions of interest (ROI) drawn within the cortex, hippocampus, and thalamus regions and the level of tau burden was assessed in equivalent regions using histology. Results: Texture parameters were markedly different between WT and TG in the cortex (E, p < 0.01, K, p < 0.01), the hippocampus (K, p < 0.05) and in the thalamus (K, p < 0.01). In addition, we observed significant correlations between histological measurements of tau burden and kurtosis in the cortex, hippocampus and thalamus. Conclusions: MRTA successfully differentiated WT and TG in brain regions with varying degrees of tau pathology (cortex, hippocampus, and thalamus) based on T2 weighted MR images. Furthermore, the kurtosis measurement correlated with histological measures of tau burden. This initial study indicates that MRTA may have a role in the early diagnosis of AD and the assessment of tau pathology using routinely acquired structural MR images.
Background: Non-invasive characterization of the pathological features of Alzheimer’s disease (AD) could enhance patient management and the development of therapeutic strategies. Magnetic resonance imaging texture analysis (MRTA) has been used previously to extract texture descriptors from structural clinical scans in AD to determine cerebral tissue heterogeneity. In this study, we examined the potential of MRTA to specifically identify tau pathology in an AD mouse model and compared the MRTA metrics to histological measures of tau burden. Methods: MRTA was applied to T2 weighted high-resolution MR images of nine 8.5-month-old rTg4510 tau pathology (TG) mice and sixteen litter matched wild-type (WT) mice. MRTA comprised of the filtration-histogram technique, where the filtration step extracted and enhanced features of different sizes (fine, medium and coarse texture scales), followed by quantification of texture using histogram analysis (mean grey level intensity (mean intensity, entropy, uniformity, skewness, standard-deviation and kurtosis). MRTA was applied to manually segmented regions of interest drawn within the cortex, hippocampus and thalamus regions and the level of tau burden was assessed in equivalent regions using histology. Results: Texture parameters were markedly different between WT and TG in the cortex (E, p<0.01, K, p<0.01), the hippocampus (K, p<0.05) and in the thalamus (K, p<0.01). In addition, we observed significant correlations between histological measurements of tau burden and kurtosis in the cortex, hippocampus and thalamus. Conclusions: MRTA successfully differentiated WT and TG in brain regions with varying degrees of tau pathology (cortex, hippocampus and thalamus) based on T2 weighted MR images. Furthermore, the kurtosis measurement correlated with histological measures of tau burden. This initial study indicates that MRTA may have a role in the early diagnosis of AD and the assessment of tau pathology using routinely acquired structural MR images.
Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of therapeutic strategies. Magnetic resonance imaging texture analysis (MRTA) has been used previously to extract texture descriptors from structural clinical scans in AD to determine cerebral tissue heterogeneity. In this study, we examined the potential of MRTA to specifically identify tau pathology in an AD mouse model and compared the MRTA metrics to histological measures of tau burden. MRTA was applied to T2 weighted high-resolution MR images of nine 8.5-month-old rTg4510 tau pathology (TG) mice and 16 litter matched wild-type (WT) mice. MRTA comprised of the filtration-histogram technique, where the filtration step extracted and enhanced features of different sizes (fine, medium, and coarse texture scales), followed by quantification of texture using histogram analysis (mean gray level intensity, mean intensity, entropy, uniformity, skewness, standard-deviation, and kurtosis). MRTA was applied to manually segmented regions of interest (ROI) drawn within the cortex, hippocampus, and thalamus regions and the level of tau burden was assessed in equivalent regions using histology. Texture parameters were markedly different between WT and TG in the cortex (E, < 0.01, K, < 0.01), the hippocampus (K, < 0.05) and in the thalamus (K, < 0.01). In addition, we observed significant correlations between histological measurements of tau burden and kurtosis in the cortex, hippocampus and thalamus. MRTA successfully differentiated WT and TG in brain regions with varying degrees of tau pathology (cortex, hippocampus, and thalamus) based on T2 weighted MR images. Furthermore, the kurtosis measurement correlated with histological measures of tau burden. This initial study indicates that MRTA may have a role in the early diagnosis of AD and the assessment of tau pathology using routinely acquired structural MR images.
Author Holmes, Holly E.
Johnson, Ross A.
Wells, Jack A.
O'Callaghan, James M.
Colgan, Niall
Powell, Nick M.
Ganeshan, Balaji
Groves, Ashley
Collins, Emily C.
Lythgoe, Mark F.
O'Neill, Michael J.
Murray, Tracey K.
Ismail, Ozama
Harrison, Ian F.
Ahmed, Zeshan
AuthorAffiliation 2 School of Physics, National University of Ireland Galway , Galway , Ireland
5 Eli Lilly & Co. Ltd., Lilly Corporate Center , Indianapolis, IN , United States
3 Institute of Nuclear Medicine, University College London Hospitals , London , United Kingdom
1 Division of Medicine, UCL Centre for Advanced Biomedical Imaging, University College London , London , United Kingdom
4 Eli Lilly & Co. Ltd. , Windlesham , United Kingdom
AuthorAffiliation_xml – name: 4 Eli Lilly & Co. Ltd. , Windlesham , United Kingdom
– name: 1 Division of Medicine, UCL Centre for Advanced Biomedical Imaging, University College London , London , United Kingdom
– name: 5 Eli Lilly & Co. Ltd., Lilly Corporate Center , Indianapolis, IN , United States
– name: 2 School of Physics, National University of Ireland Galway , Galway , Ireland
– name: 3 Institute of Nuclear Medicine, University College London Hospitals , London , United Kingdom
Author_xml – sequence: 1
  givenname: Niall
  surname: Colgan
  fullname: Colgan, Niall
– sequence: 2
  givenname: Balaji
  surname: Ganeshan
  fullname: Ganeshan, Balaji
– sequence: 3
  givenname: Ian F.
  surname: Harrison
  fullname: Harrison, Ian F.
– sequence: 4
  givenname: Ozama
  surname: Ismail
  fullname: Ismail, Ozama
– sequence: 5
  givenname: Holly E.
  surname: Holmes
  fullname: Holmes, Holly E.
– sequence: 6
  givenname: Jack A.
  surname: Wells
  fullname: Wells, Jack A.
– sequence: 7
  givenname: Nick M.
  surname: Powell
  fullname: Powell, Nick M.
– sequence: 8
  givenname: James M.
  surname: O'Callaghan
  fullname: O'Callaghan, James M.
– sequence: 9
  givenname: Michael J.
  surname: O'Neill
  fullname: O'Neill, Michael J.
– sequence: 10
  givenname: Tracey K.
  surname: Murray
  fullname: Murray, Tracey K.
– sequence: 11
  givenname: Zeshan
  surname: Ahmed
  fullname: Ahmed, Zeshan
– sequence: 12
  givenname: Emily C.
  surname: Collins
  fullname: Collins, Emily C.
– sequence: 13
  givenname: Ross A.
  surname: Johnson
  fullname: Johnson, Ross A.
– sequence: 14
  givenname: Ashley
  surname: Groves
  fullname: Groves, Ashley
– sequence: 15
  givenname: Mark F.
  surname: Lythgoe
  fullname: Lythgoe, Mark F.
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29163005$$D View this record in MEDLINE/PubMed
BookMark eNp1Uk1rGzEUFCWlSdzeeyoLvfRiV99aXQoh9MOQ0tI6pTfxrJU2MmspXe2G-t9XaychCfQkMZoZ5j3NKTqKKTqEXhO8YKzW730MMS8oJmqBsdD6GTohUtI5F-z30YP7MTrNeYOxpDWnL9Ax1USyojhBP5ex-hVuUrXcQhtiWyVfrWCsvsNwlbrU7qrLPMFfoY1uCLb64XKKEK27V6zc32HsoavOInS7HPJL9NxDl92r23OGLj99XJ1_mV98-7w8P7uYW67xMJfEU99gpQVV1AH3DDvitZYltqZeUGEZF9QyqYhvgINljdZCMUkL1DRshpYH3ybBxlz3YQv9ziQIZg-kvjXQl8ydMxI7Thmta7wGbgXXdaMoUyCsbewaT14fDl7X43rrGuviUEZ6ZPr4JYYr06YbI2RNVNnmDL27NejTn9HlwWxDtq7rILo0ZkO0VFwqzCbq2yfUTRr7srxsKMOi1lQIVlhvHia6j3L3d4UgDwTbp5x7540NAwwhTQFDZwg2U0nMviRmKonZl6QI8RPhnfd_Jf8AI4e_CQ
CitedBy_id crossref_primary_10_1002_mds_27931
crossref_primary_10_1002_trc2_70005
crossref_primary_10_3389_fnagi_2021_668559
crossref_primary_10_1007_s12975_019_00746_3
crossref_primary_10_1111_ene_14609
crossref_primary_10_3389_fnagi_2021_791679
crossref_primary_10_1161_STROKEAHA_122_039732
crossref_primary_10_3233_JPD_223232
Cites_doi 10.1038/nrneurol.2009.215
10.1016/j.neuroimage.2015.10.043
10.1007/s00330-009-1605-1
10.1016/j.nicl.2013.05.010
10.1007/BF00308809
10.1212/WNL.0b013e3182a43e45
10.1109/42.668698
10.1109/42.712137
10.1371/journal.pone.0069595
10.1371/journal.pone.0069905
10.1016/S1474-4422(12)70291-0
10.1007/s00429-010-0295-4
10.1016/j.pscychresns.2014.05.014
10.3174/ajnr.A2232
10.1102/1470-7330.2013.9045
10.1523/JNEUROSCI.3279-05.2005
10.1016/j.acra.2007.06.028
10.1038/tpj.2012.3
10.1016/S1474-4422(09)70299-6
10.1001/archneur.58.3.397
10.1126/science.1113694
ContentType Journal Article
Copyright 2017. This work is licensed 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.
Copyright © 2017 Colgan, Ganeshan, Harrison, Ismail, Holmes, Wells, Powell, O'Callaghan, O'Neill, Murray, Ahmed, Collins, Johnson, Groves and Lythgoe. 2017 Colgan, Ganeshan, Harrison, Ismail, Holmes, Wells, Powell, O'Callaghan, O'Neill, Murray, Ahmed, Collins, Johnson, Groves and Lythgoe
Copyright_xml – notice: 2017. This work is licensed 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.
– notice: Copyright © 2017 Colgan, Ganeshan, Harrison, Ismail, Holmes, Wells, Powell, O'Callaghan, O'Neill, Murray, Ahmed, Collins, Johnson, Groves and Lythgoe. 2017 Colgan, Ganeshan, Harrison, Ismail, Holmes, Wells, Powell, O'Callaghan, O'Neill, Murray, Ahmed, Collins, Johnson, Groves and Lythgoe
DBID AAYXX
CITATION
NPM
3V.
7XB
88I
8FE
8FH
8FK
ABUWG
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
GNUQQ
HCIFZ
LK8
M2P
M7P
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
Q9U
7X8
5PM
DOA
DOI 10.3389/fnins.2017.00599
DatabaseName CrossRef
PubMed
ProQuest Central (Corporate)
ProQuest Central (purchase pre-March 2016)
Science Database (Alumni Edition)
ProQuest SciTech Collection
ProQuest Natural Science Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
ProQuest One
ProQuest Central Korea
ProQuest Central Student
SciTech Premium Collection
Biological Sciences
Science Database
Biological Science Database
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest Central Basic
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
PubMed
Publicly Available Content Database
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Natural Science Collection
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
Natural Science Collection
ProQuest Central Korea
Biological Science Collection
ProQuest Central (New)
ProQuest Science Journals (Alumni Edition)
ProQuest Biological Science Collection
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
Biological Science Database
ProQuest SciTech Collection
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
MEDLINE - Academic

Publicly Available Content Database
PubMed
Database_xml – sequence: 1
  dbid: DOA
  name: Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Anatomy & Physiology
EISSN 1662-453X
ExternalDocumentID oai_doaj_org_article_60e4232880ba4c5498d7237a5ccdcb0d
PMC5681716
29163005
10_3389_fnins_2017_00599
Genre Journal Article
GeographicLocations United Kingdom--UK
United States--US
GeographicLocations_xml – name: United Kingdom--UK
– name: United States--US
GrantInformation_xml – fundername: Medical Research Council
  grantid: MR/K026739/1
– fundername: Medical Research Council
  grantid: MR/J013110/1
– fundername: National Centre for the Replacement, Refinement and Reduction of Animals in Research
  grantid: NC/K500276/1
GroupedDBID ---
29H
2WC
53G
5GY
5VS
88I
8FE
8FH
9T4
AAFWJ
AAYXX
ABUWG
ACGFO
ACGFS
ACXDI
ADRAZ
AEGXH
AENEX
AFKRA
AFPKN
AIAGR
ALMA_UNASSIGNED_HOLDINGS
AZQEC
BBNVY
BENPR
BHPHI
BPHCQ
CCPQU
CITATION
CS3
DIK
DU5
DWQXO
E3Z
EBS
EJD
EMOBN
F5P
FRP
GNUQQ
GROUPED_DOAJ
GX1
HCIFZ
HYE
KQ8
LK8
M2P
M48
M7P
O5R
O5S
OK1
OVT
P2P
PGMZT
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
RNS
RPM
W2D
C1A
NPM
PQGLB
3V.
7XB
8FK
PKEHL
PQEST
PQUKI
PRINS
Q9U
7X8
5PM
PUEGO
ID FETCH-LOGICAL-c490t-61f2fd0795272ea4f30e1f99616692f525c3452c3671fda4ac3d9957362367dd3
IEDL.DBID M48
ISSN 1662-453X
1662-4548
IngestDate Wed Aug 27 01:27:50 EDT 2025
Thu Aug 21 14:07:34 EDT 2025
Thu Jul 10 17:17:16 EDT 2025
Fri Jul 25 11:51:40 EDT 2025
Mon Jul 21 06:04:09 EDT 2025
Tue Jul 01 01:01:22 EDT 2025
Thu Apr 24 23:03:30 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords tauopathies
MRI imaging
Alzheimer's Disease
MRTA
texture analysis
Language English
License This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c490t-61f2fd0795272ea4f30e1f99616692f525c3452c3671fda4ac3d9957362367dd3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
These authors have contributed equally to this work as Joint first author.
This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience
These authors have contributed equally to this work as Joint senior author.
Reviewed by: Frithjof Kruggel, University of California, Irvine, United States; Felix Carbonell, Biospective Inc., Canada
Edited by: Pedro Antonio Valdes-Sosa, Joint China-Cuba Laboratory for Frontier Research in Translational Neurotechnology, China
OpenAccessLink https://doaj.org/article/60e4232880ba4c5498d7237a5ccdcb0d
PMID 29163005
PQID 2305892553
PQPubID 4424402
ParticipantIDs doaj_primary_oai_doaj_org_article_60e4232880ba4c5498d7237a5ccdcb0d
pubmedcentral_primary_oai_pubmedcentral_nih_gov_5681716
proquest_miscellaneous_1967467036
proquest_journals_2305892553
pubmed_primary_29163005
crossref_citationtrail_10_3389_fnins_2017_00599
crossref_primary_10_3389_fnins_2017_00599
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2017-11-06
PublicationDateYYYYMMDD 2017-11-06
PublicationDate_xml – month: 11
  year: 2017
  text: 2017-11-06
  day: 06
PublicationDecade 2010
PublicationPlace Switzerland
PublicationPlace_xml – name: Switzerland
– name: Lausanne
PublicationTitle Frontiers in neuroscience
PublicationTitleAlternate Front Neurosci
PublicationYear 2017
Publisher Frontiers Research Foundation
Frontiers Media S.A
Publisher_xml – name: Frontiers Research Foundation
– name: Frontiers Media S.A
References Ludvigson (B11) 2011; 216
Freeborough (B5) 1998; 17
Colgan (B2) 2016; 125
Radulescu (B17); 2
Radulescu (B16) 2014; 223
Erten-Lyons (B4) 2013; 81
Braak (B1) 1991; 82
de Oliveira (B3) 2011; 32
Santacruz (B19) 2005; 309
Radulescu (B15); 13
Frisoni (B6) 2010; 6
Jack (B10) 2010; 9
Jack (B9) 2013; 12
Sled (B21) 1998; 17
Suoranta (B22) 2013; 8
Ganeshan (B8) 2007; 14
Miles (B13) 2012; 13
Sanz-Cortes (B20) 2013; 8
Meyer-Baese (B12) 2014
Morris (B14) 2001; 58
Torabi (B23) 2006
Ganeshan (B7) 2010; 20
Ramsden (B18) 2005; 25
References_xml – volume: 6
  start-page: 67
  year: 2010
  ident: B6
  article-title: The clinical use of structural MRI in Alzheimer disease
  publication-title: Nat. Rev. Neurol.
  doi: 10.1038/nrneurol.2009.215
– volume: 125
  start-page: 739
  year: 2016
  ident: B2
  article-title: Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2015.10.043
– volume: 20
  start-page: 941
  year: 2010
  ident: B7
  article-title: Three-dimensional textural analysis of brain images reveals distributed grey-matter abnormalities in schizophrenia
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-009-1605-1
– volume: 2
  start-page: 716
  ident: B17
  article-title: Abnormalities in fronto-striatal connectivity within language networks relate to differences in grey-matter heterogeneity in Asperger syndrome
  publication-title: Neuroimage Clin.
  doi: 10.1016/j.nicl.2013.05.010
– volume: 82
  start-page: 239
  year: 1991
  ident: B1
  article-title: Neuropathological stageing of Alzheimer-related changes
  publication-title: Acta Neuropathol.
  doi: 10.1007/BF00308809
– start-page: 79
  volume-title: Biomedical and Pharmaceutical Engineering, ICBPE 2006 in International Conference on IEEE
  year: 2006
  ident: B23
  article-title: Discrimination between Alzheimer's Disease and control group in MR-images based on texture analysis using artificial neural network
– volume: 81
  start-page: 977
  year: 2013
  ident: B4
  article-title: Neuropathologic basis of white matter hyperintensity accumulation with advanced age
  publication-title: Neurology
  doi: 10.1212/WNL.0b013e3182a43e45
– volume-title: Pattern Recognition and Signal Analysis in Medical Imaging
  year: 2014
  ident: B12
– volume: 17
  start-page: 87
  year: 1998
  ident: B21
  article-title: A nonparametric method for automatic correction of intensity nonuniformity in MRI data
  publication-title: IEEE Trans. Med. Imaging
  doi: 10.1109/42.668698
– volume: 17
  start-page: 475
  year: 1998
  ident: B5
  article-title: MR image texture analysis applied to the diagnosis and tracking of Alzheimer's disease
  publication-title: Med. Imaging IEEE Trans.
  doi: 10.1109/42.712137
– volume: 8
  start-page: e69595
  year: 2013
  ident: B20
  article-title: Automatic quantitative MRI texture analysis in small-for-gestational-age fetuses discriminates abnormal neonatal neurobehavior
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0069595
– volume: 8
  start-page: e69905
  year: 2013
  ident: B22
  article-title: 3D Texture analysis reveals imperceptible MRI textural alterations in the thalamus and putamen in progressive myoclonic epilepsy type 1, EPM1
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0069905
– volume: 12
  start-page: 207
  year: 2013
  ident: B9
  article-title: Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers
  publication-title: Lancet Neurol.
  doi: 10.1016/S1474-4422(12)70291-0
– volume: 216
  start-page: 31
  year: 2011
  ident: B11
  article-title: Structural abnormalities in the cortex of the rTg4510 mouse model of tauopathy: a light and electron microscopy study
  publication-title: Brain Struct. Funct.
  doi: 10.1007/s00429-010-0295-4
– volume: 223
  start-page: 179
  year: 2014
  ident: B16
  article-title: Grey-matter texture abnormalities and reduced hippocampal volume are distinguishing features of schizophrenia
  publication-title: Psychiatry Res.
  doi: 10.1016/j.pscychresns.2014.05.014
– volume: 32
  start-page: 60
  year: 2011
  ident: B3
  article-title: MR imaging texture analysis of the corpus callosum and thalamus in amnestic mild cognitive impairment and mild Alzheimer disease
  publication-title: Am. J. Neuroradiol.
  doi: 10.3174/ajnr.A2232
– volume: 13
  start-page: 400
  year: 2012
  ident: B13
  article-title: CT texture analysis using the filtration-histogram method: what do the measurements mean?
  publication-title: Cancer Imaging
  doi: 10.1102/1470-7330.2013.9045
– volume: 25
  start-page: 10637
  year: 2005
  ident: B18
  article-title: Age-dependent neurofibrillary tangle formation, neuron loss, and memory impairment in a mouse model of human tauopathy (P301L)
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.3279-05.2005
– volume: 14
  start-page: 1520
  year: 2007
  ident: B8
  article-title: Hepatic enhancement in colorectal cancer: texture analysis correlates with hepatic hemodynamics and patient survival
  publication-title: Acad. Radiol.
  doi: 10.1016/j.acra.2007.06.028
– volume: 13
  start-page: 70
  ident: B15
  article-title: Gray matter textural heterogeneity as a potential in-vivo biomarker of fine structural abnormalities in Asperger syndrome
  publication-title: Pharmacogenomics J.
  doi: 10.1038/tpj.2012.3
– volume: 9
  start-page: 119
  year: 2010
  ident: B10
  article-title: Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
  publication-title: Lancet Neurol.
  doi: 10.1016/S1474-4422(09)70299-6
– volume: 58
  start-page: 397
  year: 2001
  ident: B14
  article-title: Mild cognitive impairment represents early-stage Alzheimer Disease
  publication-title: Arch. Neurol.
  doi: 10.1001/archneur.58.3.397
– volume: 309
  start-page: 476
  year: 2005
  ident: B19
  article-title: Tau suppression in a neurodegenerative mouse model improves memory function
  publication-title: Science
  doi: 10.1126/science.1113694
SSID ssj0062842
Score 2.1902921
Snippet Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of therapeutic...
Background: Non-invasive characterization of the pathological features of Alzheimer’s disease (AD) could enhance patient management and the development of...
Background: Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of...
Background: Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 599
SubjectTerms Alzheimer's Disease
Animal cognition
Autism
Cognitive ability
Entropy
Filtration
Hippocampus
Histology
Magnetic resonance imaging
MRI imaging
MRTA
Neuroimaging
Neuroscience
NMR
Nuclear magnetic resonance
Pathology
Schizophrenia
Studies
Tau protein
tauopathies
texture analysis
Thalamus
University colleges
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3da9RAEF-kT76IWj-itawggg_hkv1K9rEWSysoglfp27KfemD3it4V-t93ZpNLe0X0RcjTJks2s7Mz88vO_oaQN01vnfci1CJEVQsX-rp3Stax8V2CC4N0zLb4rI5PxcczeXar1BfmhA30wIPgZqqJuJcIauas8IBm-tAx3lnpffCuCWh9wedtwNRggxUYXTZsSgIE07OUFxm5uVvkK5SF5_XGCRWu_j8FmHfzJG85nqOH5MEYMdKDYaSPyL2YH5Pdgwxo-fyKvqUlh7P8HN8lX08y_ba4XNKT81J9iC4Tnds1_WJXxcpd0ZIiQD_Z7xlPL1L8e4-UG3HqMQdrjVQcdENX8oScHn2YHx7XY9mE2gvdrAAMJpZC02nJOhatSLyJbQJc0yqlWZJMei4k81x1bQpWWM-D1rIDVwZNIfCnZCcvc3xOqGyVdDqlyCwTLgmdeB-1lVZ2OjbJVWS2kaPxI6c4lrb4aQBboORNkbxByZsi-Yq8m3pcDHwaf3n2PU7N9BwyYZcG0A8z6of5l35UZG8zsWZcnvAOjtUUAU3xiryebsPCwt0Sm-Ny_duAacJSLODhK_Js0INpJAyCauT5r0i3pSFbQ92-kxc_Cnk3Er4BRn3xP77tJbmP0ipHI9Ue2Vn9WsdXECOt3H5ZDtdDeBCR
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3daxQxEA_avvgiav1YWyWCCD4st5dNdjdP0kpLK1iKXqVvIZ_tgc3W9q7Q_96ZXHb1RAr7lA82TJJfZjKT3xDyvuq0sZa7kjvflNy4ruxMI0pf2TbAh0o6RlscN4en_MuZOMsXbjc5rHLAxATUrrd4Rz4BVVl0EhTg-tPVrxKzRqF3NafQeEg2AYI7ML429_aPT74NWNwA-CZ_Z4Nvg0A5XzkqwSyTkxDnEfm6p8hhKBL365-DKfH3_0_p_Dd28q_D6OAJeZy1SLq7mvan5IGPz8jWbgQL-vKOfqAprjNdmG-R70eR_pjf9vToMmUkon2gM72kJ3qRkO-OprAB-lWfR3zRSPFGH2k4_NhjBgiO9Bx0oDB5Tk4P9mefD8ucSqG0XFYLMBADC65qpWAt85qHuvLTALYOSEayIJiwNRfM1k07DU5zbWsnpWjheIMi5-oXZCP20b8iVEwbYWQInmnGTeAy1J2XWmjRSl8FU5DJIEdlM884prv4qcDeQMmrJHmFkldJ8gX5OPa4WnFs3NN2D6dmbIfs2Kmgvz5XebOppvLofwZoMppbsIA717K61cJaZ03lCrIzTKzKWxb-MS6wgrwbq2GzoQdFR98vbxTAFaZngVO_IC9X62AcCQNFG7n_C9KurZC1oa7XxPlFIvRGEjiwW1_fP6xt8gjlkB5CNjtkY3G99G9AI1qYt3nZ_wYWoAtO
  priority: 102
  providerName: ProQuest
Title In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis
URI https://www.ncbi.nlm.nih.gov/pubmed/29163005
https://www.proquest.com/docview/2305892553
https://www.proquest.com/docview/1967467036
https://pubmed.ncbi.nlm.nih.gov/PMC5681716
https://doaj.org/article/60e4232880ba4c5498d7237a5ccdcb0d
Volume 11
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1bb9MwFLZge-EFAeMSGJWREBIPYWlix_EDQtu0sSFtmqBFfbMcX0alzYGuRfTfc46bZBQVpCgPuSnyuX4-9ncIeZ1VujaG2ZRZV6astlVa1SVPXWaEhwOTdFxtcV6ejNmnCZ_cbo9uB_BmI7TDflLj2dW7Xz-WH8Dg3yPihHi758M0IPP2ENkIuZR3yTbEJYFmesb6mkIJjjjWPkvcJwSJ-qpoufELSBEMeRNSua_Fq0jrvykX_XtJ5R8x6vgBud8ml3R_pQ0PyR0XHpGd_QDA-npJ39C43DPOo--QL6eBfp3-bOjpdWxURBtPR3pBL_Q8OsQljasJ6Jm-DLjRkeJEP7JzuP6NETh2ZO2gHbPJYzI-PhodnqRth4XUMJnNATf63NtMSJ6L3Gnmi8wNPUAgGCSZe55zUzCem6IUQ28106awUnIBUQ8uWVs8IVuhCe4ZoXxY8lp673Kds9oz6YvKSc01F9Jlvk7IXjeOyrT049gF40oBDEEhqCgEhUJQUQgJedu_8X1FvfGfZw9QNP1zSJodLzSzS9XaoCozh2Vp8Fi1ZgaAcWVFXgjNjbGmzmxCdjvBqk4RFUA0XkkAXkVCXvW3wQaxsKKDaxY3CrwYdm2BZCAhT1d60P9Jp0cJEWsasvar63fC9Fvk-UZuOICzz__5zRfkHg5B3BpZ7pKt-WzhXkKONK8HZPvg6Pzi8yDOMcD542Q4iObwG9NmEOM
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELbK9gAXBJRHoICRAIlDtFnHduIDQi202qXtqoIt6i11_Cgr0aS0u6D9U_xGZrxJYBHqrVJOTpxY4_Hnmcz4G0JeJrkujeE25tbJmJc2j_NSitglJvNwoZGO2RZjOTziH4_F8Rr51Z6FwbTKFhMDUNva4D_yPpjKIldgAKfvzr_HWDUKo6ttCY2lWuy5xU9w2S7fjj7A_L5ibHdn8n4YN1UFYsNVMgNfyTNvk0wJljGnuU8TN_Bg9g-kVMwLJkzKBTOpzAbeaq5NapUSGSA9NFmbwntvkHWegivTI-vbO-PDTy32SwD7EF-VeBYJnIFlYBTcQNX31bRCfvABciaKwDX7ZyMM9QL-Z-T-m6v51-a3e4fcbqxWurVUs7tkzVX3yMZWBR772YK-piGPNPyg3yCfRxX9Mv1R09FZqIBEa08nek4P9Swg7YKGNAV6oE8rPEFJMYKAtB-u6zGBHQPpQGhLmXKfHF2LkB-QXlVX7hGhYiBFqbx3TDNeeq58mjulhRaZcokvI9Jv5ViYhtccy2t8K8C_QckXQfIFSr4Iko_Im67H-ZLT44pnt3FquueQjTs01BenRbO4C5k4jHcDFJaaG_C4c5uxNNPCGGvKxEZks53YooEI-Ean0BF50d2GxY0RG125en5ZADxiORiwMiLycKkH3UgYGPZYayAi2YqGrAx19U41_RoIxJF0Dvzkx1cP6zm5OZwc7Bf7o_HeE3ILZRIOYcpN0ptdzN1TsMZm5bNmCVByct2r7jeaokY9
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELdGJyFeEDA-AgOMBEg8RE0d24kfENrYqpVBVUGH9hYcf4xKLBlbC-q_xl_HnZsEitDeJuUpn9b57ny_3Pl3hDxPcl0aw23MrZMxL20e56UUsUtM5uHAIB2rLcby4Ii_OxbHG-RXuxcGyypbnxgcta0N_iPvQ6gscgUBcNr3TVnEZG_45ux7jB2kMNPattNYqcihW_4E-HbxerQHc_2CseH-9O1B3HQYiA1XyRxwk2feJpkSLGNOc58mbuABAgykVMwLJkzKBTOpzAbeaq5NapUSGXh9OGVtCu-9RjYzQEVJj2zu7o8nH9t1QILjD7lWifuSABiskqQACVXfV7MKucIHyJ8oAu_sn0Ux9A74X8D7b93mXwvh8Ba52USwdGelcrfJhqvukK2dCtD76ZK-pKGmNPys3yKfRhX9PPtR09Fp6IZEa0-nekEneh687pKGkgX6QZ9UuJuSYjYBKUBc98QUpgCpQWhLn3KXHF2JkO-RXlVX7gGhYiBFqbx3TDNeeq58mjulhRaZcokvI9Jv5ViYhuMcW218KwDroOSLIPkCJV8EyUfkVffE2Yrf45J7d3FquvuQmTucqM9PisbQC5k4zH2DWyw1N4C-c5uxNNPCGGvKxEZku53YonEX8I1OuSPyrLsMho7ZG125enFRgKvE1jAQcUTk_koPupEwCPKx70BEsjUNWRvq-pVq9jWQiSMBHWDmh5cP6ym5DtZWvB-NDx-RGyiSsB9TbpPe_HzhHkNgNi-fNBZAyZerNrrf19VKcg
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=In+Vivo+Imaging+of+Tau+Pathology+Using+Magnetic+Resonance+Imaging+Textural+Analysis&rft.jtitle=Frontiers+in+neuroscience&rft.au=Colgan%2C+Niall&rft.au=Ganeshan%2C+Balaji&rft.au=Harrison%2C+Ian+F&rft.au=Ismail%2C+Ozama&rft.date=2017-11-06&rft.issn=1662-4548&rft.volume=11&rft.spage=599&rft_id=info:doi/10.3389%2Ffnins.2017.00599&rft_id=info%3Apmid%2F29163005&rft.externalDocID=29163005
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1662-453X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1662-453X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1662-453X&client=summon