Textural and Volumetric Changes of the Temporal Lobes in Semantic Variant Primary Progressive Aphasia and Alzheimer's Disease.
Alzheimer's Disease
MRI
Semantic Variant Primary Progressive Aphasia
Temporal Lobe
Texture
Volume
Journal
Journal of Korean medical science
ISSN: 1598-6357
Titre abrégé: J Korean Med Sci
Pays: Korea (South)
ID NLM: 8703518
Informations de publication
Date de publication:
23 Oct 2023
23 Oct 2023
Historique:
received:
07
04
2023
accepted:
15
06
2023
medline:
30
10
2023
pubmed:
24
10
2023
entrez:
24
10
2023
Statut:
epublish
Résumé
Texture analysis may capture subtle changes in the gray matter more sensitively than volumetric analysis. We aimed to investigate the patterns of neurodegeneration in semantic variant primary progressive aphasia (svPPA) and Alzheimer's disease (AD) by comparing the temporal gray matter texture and volume between cognitively normal controls and older adults with svPPA and AD. We enrolled all participants from three university hospitals in Korea. We obtained T1-weighted magnetic resonance images and compared the gray matter texture and volume of regions of interest (ROIs) between the groups using analysis of variance with Bonferroni posthoc comparisons. We also developed models for classifying svPPA, AD and control groups using logistic regression analyses, and validated the models using receiver operator characteristics analysis. Compared to the AD group, the svPPA group showed lower volumes in five ROIs (bilateral temporal poles, and the left inferior, middle, and superior temporal cortices) and higher texture in these five ROIs and two additional ROIs (right inferior temporal and left entorhinal cortices). The performances of both texture- and volume-based models were good and comparable in classifying svPPA from normal cognition (mean area under the curve [AUC] = 0.914 for texture; mean AUC = 0.894 for volume). However, only the texture-based model achieved a good level of performance in classifying svPPA and AD (mean AUC = 0.775 for texture; mean AUC = 0.658 for volume). Texture may be a useful neuroimaging marker for early detection of svPPA in older adults and its differentiation from AD.
Sections du résumé
BACKGROUND
BACKGROUND
Texture analysis may capture subtle changes in the gray matter more sensitively than volumetric analysis. We aimed to investigate the patterns of neurodegeneration in semantic variant primary progressive aphasia (svPPA) and Alzheimer's disease (AD) by comparing the temporal gray matter texture and volume between cognitively normal controls and older adults with svPPA and AD.
METHODS
METHODS
We enrolled all participants from three university hospitals in Korea. We obtained T1-weighted magnetic resonance images and compared the gray matter texture and volume of regions of interest (ROIs) between the groups using analysis of variance with Bonferroni posthoc comparisons. We also developed models for classifying svPPA, AD and control groups using logistic regression analyses, and validated the models using receiver operator characteristics analysis.
RESULTS
RESULTS
Compared to the AD group, the svPPA group showed lower volumes in five ROIs (bilateral temporal poles, and the left inferior, middle, and superior temporal cortices) and higher texture in these five ROIs and two additional ROIs (right inferior temporal and left entorhinal cortices). The performances of both texture- and volume-based models were good and comparable in classifying svPPA from normal cognition (mean area under the curve [AUC] = 0.914 for texture; mean AUC = 0.894 for volume). However, only the texture-based model achieved a good level of performance in classifying svPPA and AD (mean AUC = 0.775 for texture; mean AUC = 0.658 for volume).
CONCLUSION
CONCLUSIONS
Texture may be a useful neuroimaging marker for early detection of svPPA in older adults and its differentiation from AD.
Identifiants
pubmed: 37873627
pii: 38.e316
doi: 10.3346/jkms.2023.38.e316
pmc: PMC10593601
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e316Subventions
Organisme : Ministry of Health and Welfare
ID : HI09C1379 [A092077]
Pays : Korea
Organisme : Ministry of Science and ICT, South Korea
ID : HU20C0015
Pays : Korea
Informations de copyright
© 2023 The Korean Academy of Medical Sciences.
Déclaration de conflit d'intérêts
The authors have no potential conflicts of interest to disclose.
Références
Neuron. 2014 Mar 19;81(6):1417-1428
pubmed: 24656258
Radiology. 1983 Sep;148(3):839-43
pubmed: 6878708
Arch Neurol. 2007 Apr;64(4):535-40
pubmed: 17420315
Neuropsychologia. 1996 Jun;34(6):537-51
pubmed: 8736567
Brain. 2010 Jan;133(Pt 1):300-6
pubmed: 19805492
Lancet Neurol. 2007 Nov;6(11):1004-14
pubmed: 17945154
Front Neurosci. 2012 Dec 05;6:171
pubmed: 23227001
Neurology. 1984 Jul;34(7):939-44
pubmed: 6610841
J Alzheimers Dis. 2012;31(4):827-33
pubmed: 22699847
J Psychiatry Neurosci. 2019 Jun 24;45(1):7-14
pubmed: 31228173
J Intern Med. 2014 Mar;275(3):317-30
pubmed: 24118559
Eur J Neurosci. 2004 Nov;20(9):2441-6
pubmed: 15525284
Brain. 2017 Feb;140(2):457-471
pubmed: 28040670
Proc Natl Acad Sci U S A. 2002 Apr 2;99(7):4703-7
pubmed: 11930016
Magn Reson Imaging. 2004 Jan;22(1):81-91
pubmed: 14972397
Brain. 2011 Sep;134(Pt 9):2565-81
pubmed: 21908872
Neurology. 1998 Dec;51(6):1546-54
pubmed: 9855500
Psychiatry Investig. 2008 Dec;5(4):232-8
pubmed: 20046343
Dement Geriatr Cogn Disord. 2010;29(4):363-70
pubmed: 20424455
J Alzheimers Dis. 2011;25(2):347-57
pubmed: 21422522
Acta Neuropathol. 2011 Aug;122(2):137-53
pubmed: 21614463
Neurology. 2011 Mar 15;76(11):1006-14
pubmed: 21325651
Eur J Neurol. 2021 Mar;28(3):735-744
pubmed: 33098172
J Int Neuropsychol Soc. 2004 Jan;10(1):72-81
pubmed: 14751009
Psychiatry Investig. 2018 Aug;15(8):767-774
pubmed: 30086611
Neurology. 2014 Sep 23;83(13):1184-91
pubmed: 25165386
J Gerontol B Psychol Sci Soc Sci. 2002 Jan;57(1):P47-53
pubmed: 11773223
Ann Neurol. 2001 Apr;49(4):433-42
pubmed: 11310620
Front Neurosci. 2020 Jun 26;14:602
pubmed: 32670008
BMC Neurol. 2013 May 29;13:54
pubmed: 23718879
Neuron. 2002 Jan 31;33(3):341-55
pubmed: 11832223
Ann Neurol. 2004 Mar;55(3):335-46
pubmed: 14991811
Neurology. 2001 Jul 24;57(2):216-25
pubmed: 11468305
Comput Math Methods Med. 2013;2013:638563
pubmed: 23762192
Neuropsychologia. 2000;38(3):313-24
pubmed: 10678697
Neurology. 2002 Jun 11;58(11):1615-21
pubmed: 12058088
Neurology. 1993 Nov;43(11):2412-4
pubmed: 8232972
Alzheimers Res Ther. 2016 Dec 5;8(1):52
pubmed: 27915998
Ann Neurol. 2000 Jan;47(1):36-45
pubmed: 10632099
Neuroimage. 2012 Aug 15;62(2):774-81
pubmed: 22248573