Cargando…

Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease

BACKGROUND: Although diffusion tensor imaging has been a major research focus for Alzheimer’s disease in recent years, it remains unclear whether it has sufficient stability to have biomarker potential. To date, frequently inconsistent results have been reported, though lack of standardisation in ac...

Descripción completa

Detalles Bibliográficos
Autores principales: Acosta-Cabronero, Julio, Alley, Stephanie, Williams, Guy B., Pengas, George, Nestor, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492261/
https://www.ncbi.nlm.nih.gov/pubmed/23145075
http://dx.doi.org/10.1371/journal.pone.0049072
_version_ 1782249094669926400
author Acosta-Cabronero, Julio
Alley, Stephanie
Williams, Guy B.
Pengas, George
Nestor, Peter J.
author_facet Acosta-Cabronero, Julio
Alley, Stephanie
Williams, Guy B.
Pengas, George
Nestor, Peter J.
author_sort Acosta-Cabronero, Julio
collection PubMed
description BACKGROUND: Although diffusion tensor imaging has been a major research focus for Alzheimer’s disease in recent years, it remains unclear whether it has sufficient stability to have biomarker potential. To date, frequently inconsistent results have been reported, though lack of standardisation in acquisition and analysis make such discrepancies difficult to interpret. There is also, at present, little knowledge of how the biometric properties of diffusion tensor imaging might evolve in the course of Alzheimer’s disease. METHODS: The biomarker question was addressed in this study by adopting a standardised protocol both for the whole brain (tract-based spatial statistics), and for a region of interest: the midline corpus callosum. In order to study the evolution of tensor changes, cross-sectional data from very mild (N = 21) and mild (N = 22) Alzheimer’s disease patients were examined as well as a longitudinal cohort (N = 16) that had been rescanned at 12 months. FINDINGS AND SIGNIFICANCE: The results revealed that increased axial and mean diffusivity are the first abnormalities to occur and that the first region to develop such significant differences was mesial parietal/splenial white matter; these metrics, however, remained relatively static with advancing disease indicating they are suitable as ‘state-specific’ markers. In contrast, increased radial diffusivity, and therefore decreased fractional anisotropy–though less detectable early–became increasingly abnormal with disease progression, and, in the splenium of the corpus callosum, correlated significantly with dementia severity; these metrics therefore appear ‘stage-specific’ and would be ideal for monitoring disease progression. In addition, the cross-sectional and longitudinal analyses showed that the progressive abnormalities in radial diffusivity and fractional anisotropy always occurred in areas that had first shown an increase in axial and mean diffusivity. Given that the former two metrics correlate with dementia severity, but the latter two did not, it would appear that increased axial diffusivity represents an upstream event that precedes neuronal loss.
format Online
Article
Text
id pubmed-3492261
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-34922612012-11-09 Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease Acosta-Cabronero, Julio Alley, Stephanie Williams, Guy B. Pengas, George Nestor, Peter J. PLoS One Research Article BACKGROUND: Although diffusion tensor imaging has been a major research focus for Alzheimer’s disease in recent years, it remains unclear whether it has sufficient stability to have biomarker potential. To date, frequently inconsistent results have been reported, though lack of standardisation in acquisition and analysis make such discrepancies difficult to interpret. There is also, at present, little knowledge of how the biometric properties of diffusion tensor imaging might evolve in the course of Alzheimer’s disease. METHODS: The biomarker question was addressed in this study by adopting a standardised protocol both for the whole brain (tract-based spatial statistics), and for a region of interest: the midline corpus callosum. In order to study the evolution of tensor changes, cross-sectional data from very mild (N = 21) and mild (N = 22) Alzheimer’s disease patients were examined as well as a longitudinal cohort (N = 16) that had been rescanned at 12 months. FINDINGS AND SIGNIFICANCE: The results revealed that increased axial and mean diffusivity are the first abnormalities to occur and that the first region to develop such significant differences was mesial parietal/splenial white matter; these metrics, however, remained relatively static with advancing disease indicating they are suitable as ‘state-specific’ markers. In contrast, increased radial diffusivity, and therefore decreased fractional anisotropy–though less detectable early–became increasingly abnormal with disease progression, and, in the splenium of the corpus callosum, correlated significantly with dementia severity; these metrics therefore appear ‘stage-specific’ and would be ideal for monitoring disease progression. In addition, the cross-sectional and longitudinal analyses showed that the progressive abnormalities in radial diffusivity and fractional anisotropy always occurred in areas that had first shown an increase in axial and mean diffusivity. Given that the former two metrics correlate with dementia severity, but the latter two did not, it would appear that increased axial diffusivity represents an upstream event that precedes neuronal loss. Public Library of Science 2012-11-07 /pmc/articles/PMC3492261/ /pubmed/23145075 http://dx.doi.org/10.1371/journal.pone.0049072 Text en © 2012 Acosta-Cabronero et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Acosta-Cabronero, Julio
Alley, Stephanie
Williams, Guy B.
Pengas, George
Nestor, Peter J.
Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease
title Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease
title_full Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease
title_fullStr Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease
title_full_unstemmed Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease
title_short Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease
title_sort diffusion tensor metrics as biomarkers in alzheimer's disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492261/
https://www.ncbi.nlm.nih.gov/pubmed/23145075
http://dx.doi.org/10.1371/journal.pone.0049072
work_keys_str_mv AT acostacabronerojulio diffusiontensormetricsasbiomarkersinalzheimersdisease
AT alleystephanie diffusiontensormetricsasbiomarkersinalzheimersdisease
AT williamsguyb diffusiontensormetricsasbiomarkersinalzheimersdisease
AT pengasgeorge diffusiontensormetricsasbiomarkersinalzheimersdisease
AT nestorpeterj diffusiontensormetricsasbiomarkersinalzheimersdisease