Cytoarchitectonic Mapping of MRI Detects Rapid Changes in Alzheimer's Disease

The clinical and pathological progression of Alzheimer's disease often proceeds rapidly, but little is understood about its structural characteristics over short intervals. This study evaluated the short temporal characteristics of the brain structure in Alzheimer's disease through the app...

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Autores principales: Blair, Jamie C., Lasiecka, Zofia M., Patrie, James, Barrett, Matthew J., Druzgal, T. Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203491/
https://www.ncbi.nlm.nih.gov/pubmed/32425868
http://dx.doi.org/10.3389/fneur.2020.00241
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author Blair, Jamie C.
Lasiecka, Zofia M.
Patrie, James
Barrett, Matthew J.
Druzgal, T. Jason
author_facet Blair, Jamie C.
Lasiecka, Zofia M.
Patrie, James
Barrett, Matthew J.
Druzgal, T. Jason
author_sort Blair, Jamie C.
collection PubMed
description The clinical and pathological progression of Alzheimer's disease often proceeds rapidly, but little is understood about its structural characteristics over short intervals. This study evaluated the short temporal characteristics of the brain structure in Alzheimer's disease through the application of cytoarchitectonic probabilistic brain mapping to measurements of gray matter density, a technique which may provide advantages over standard volumetric MRI techniques. Gray matter density was calculated using voxel-based morphometry of T1-weighted MRI obtained from Alzheimer's disease patients and healthy controls evaluated at intervals of 0.5, 1.5, 3.5, 6.5, 9.5, 12, 18, and 24 months by the MIRIAD study. The Alzheimer's disease patients had 19.1% less gray matter at 1st MRI, and this declined 81.6% faster than in healthy controls. Atrophy in the hippocampus, amygdala, and basal forebrain distinguished the Alzheimer's disease patients. Notably, the CA2 of the hippocampus was found to have atrophied significantly within 1 month. Gray matter density measurements were reliable, with intraclass correlation coefficients exceeding 0.8. Comparative atrophy in the Alzheimer's disease group agreed with manual tracing MRI studies of Alzheimer's disease while identifying atrophy on a shorter time scale than has previously been reported. Cytoarchitectonic mapping of gray matter density is reliable and sensitive to small-scale neurodegeneration, indicating its use in the future study of Alzheimer's disease.
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spelling pubmed-72034912020-05-18 Cytoarchitectonic Mapping of MRI Detects Rapid Changes in Alzheimer's Disease Blair, Jamie C. Lasiecka, Zofia M. Patrie, James Barrett, Matthew J. Druzgal, T. Jason Front Neurol Neurology The clinical and pathological progression of Alzheimer's disease often proceeds rapidly, but little is understood about its structural characteristics over short intervals. This study evaluated the short temporal characteristics of the brain structure in Alzheimer's disease through the application of cytoarchitectonic probabilistic brain mapping to measurements of gray matter density, a technique which may provide advantages over standard volumetric MRI techniques. Gray matter density was calculated using voxel-based morphometry of T1-weighted MRI obtained from Alzheimer's disease patients and healthy controls evaluated at intervals of 0.5, 1.5, 3.5, 6.5, 9.5, 12, 18, and 24 months by the MIRIAD study. The Alzheimer's disease patients had 19.1% less gray matter at 1st MRI, and this declined 81.6% faster than in healthy controls. Atrophy in the hippocampus, amygdala, and basal forebrain distinguished the Alzheimer's disease patients. Notably, the CA2 of the hippocampus was found to have atrophied significantly within 1 month. Gray matter density measurements were reliable, with intraclass correlation coefficients exceeding 0.8. Comparative atrophy in the Alzheimer's disease group agreed with manual tracing MRI studies of Alzheimer's disease while identifying atrophy on a shorter time scale than has previously been reported. Cytoarchitectonic mapping of gray matter density is reliable and sensitive to small-scale neurodegeneration, indicating its use in the future study of Alzheimer's disease. Frontiers Media S.A. 2020-04-30 /pmc/articles/PMC7203491/ /pubmed/32425868 http://dx.doi.org/10.3389/fneur.2020.00241 Text en Copyright © 2020 Blair, Lasiecka, Patrie, Barrett and Druzgal. http://creativecommons.org/licenses/by/4.0/ 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) and the copyright owner(s) 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.
spellingShingle Neurology
Blair, Jamie C.
Lasiecka, Zofia M.
Patrie, James
Barrett, Matthew J.
Druzgal, T. Jason
Cytoarchitectonic Mapping of MRI Detects Rapid Changes in Alzheimer's Disease
title Cytoarchitectonic Mapping of MRI Detects Rapid Changes in Alzheimer's Disease
title_full Cytoarchitectonic Mapping of MRI Detects Rapid Changes in Alzheimer's Disease
title_fullStr Cytoarchitectonic Mapping of MRI Detects Rapid Changes in Alzheimer's Disease
title_full_unstemmed Cytoarchitectonic Mapping of MRI Detects Rapid Changes in Alzheimer's Disease
title_short Cytoarchitectonic Mapping of MRI Detects Rapid Changes in Alzheimer's Disease
title_sort cytoarchitectonic mapping of mri detects rapid changes in alzheimer's disease
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203491/
https://www.ncbi.nlm.nih.gov/pubmed/32425868
http://dx.doi.org/10.3389/fneur.2020.00241
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