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Lateralized occipital degeneration in posterior cortical atrophy predicts visual field deficits

BACKGROUND: Posterior cortical atrophy (PCA), the visual variant of Alzheimer's disease, leads to high-level visual deficits such as alexia or agnosia. Visual field deficits have also been identified, but often inconsistently reported. Little is known about the pattern of visual field deficits...

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Autores principales: Millington, Rebecca S, James-Galton, Merle, Maia Da Silva, Mari N, Plant, Gordon T, Bridge, Holly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288489/
https://www.ncbi.nlm.nih.gov/pubmed/28180083
http://dx.doi.org/10.1016/j.nicl.2017.01.012
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author Millington, Rebecca S
James-Galton, Merle
Maia Da Silva, Mari N
Plant, Gordon T
Bridge, Holly
author_facet Millington, Rebecca S
James-Galton, Merle
Maia Da Silva, Mari N
Plant, Gordon T
Bridge, Holly
author_sort Millington, Rebecca S
collection PubMed
description BACKGROUND: Posterior cortical atrophy (PCA), the visual variant of Alzheimer's disease, leads to high-level visual deficits such as alexia or agnosia. Visual field deficits have also been identified, but often inconsistently reported. Little is known about the pattern of visual field deficits or the underlying cortical changes leading to this visual loss. METHODS: Multi-modal magnetic resonance imaging was used to investigate differences in gray matter volume, cortical thickness, white matter microstructure and functional activity in patients with PCA compared to age-matched controls. Additional analyses investigated hemispheric asymmetries in these metrics according to the visual field most affected by the disease. RESULTS: Analysis of structural data indicated considerable loss of gray matter in the occipital and parietal cortices, lateralized to the hemisphere contralateral to the visual loss. This lateralized pattern of gray matter loss was also evident in the hippocampus and parahippocampal gyrus. Diffusion-weighted imaging showed considerable effects of PCA on white matter microstructure in the occipital cortex, and in the corpus callosum. The change in white matter was only lateralized in the occipital lobe, however, with greatest change in the optic radiation contralateral to the visual field deficit. Indeed, there was a significant correlation between the laterality of the optic radiation microstructure and visual field loss. CONCLUSIONS: Detailed brain imaging shows that the asymmetric visual field deficits in patients with PCA reflect the pattern of degeneration of both white and gray matter in the occipital lobe. Understanding the nature of both visual field deficits and the neurodegenerative brain changes in PCA may improve diagnosis and understanding of this disease.
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spelling pubmed-52884892017-02-08 Lateralized occipital degeneration in posterior cortical atrophy predicts visual field deficits Millington, Rebecca S James-Galton, Merle Maia Da Silva, Mari N Plant, Gordon T Bridge, Holly Neuroimage Clin Regular Article BACKGROUND: Posterior cortical atrophy (PCA), the visual variant of Alzheimer's disease, leads to high-level visual deficits such as alexia or agnosia. Visual field deficits have also been identified, but often inconsistently reported. Little is known about the pattern of visual field deficits or the underlying cortical changes leading to this visual loss. METHODS: Multi-modal magnetic resonance imaging was used to investigate differences in gray matter volume, cortical thickness, white matter microstructure and functional activity in patients with PCA compared to age-matched controls. Additional analyses investigated hemispheric asymmetries in these metrics according to the visual field most affected by the disease. RESULTS: Analysis of structural data indicated considerable loss of gray matter in the occipital and parietal cortices, lateralized to the hemisphere contralateral to the visual loss. This lateralized pattern of gray matter loss was also evident in the hippocampus and parahippocampal gyrus. Diffusion-weighted imaging showed considerable effects of PCA on white matter microstructure in the occipital cortex, and in the corpus callosum. The change in white matter was only lateralized in the occipital lobe, however, with greatest change in the optic radiation contralateral to the visual field deficit. Indeed, there was a significant correlation between the laterality of the optic radiation microstructure and visual field loss. CONCLUSIONS: Detailed brain imaging shows that the asymmetric visual field deficits in patients with PCA reflect the pattern of degeneration of both white and gray matter in the occipital lobe. Understanding the nature of both visual field deficits and the neurodegenerative brain changes in PCA may improve diagnosis and understanding of this disease. Elsevier 2017-01-17 /pmc/articles/PMC5288489/ /pubmed/28180083 http://dx.doi.org/10.1016/j.nicl.2017.01.012 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Millington, Rebecca S
James-Galton, Merle
Maia Da Silva, Mari N
Plant, Gordon T
Bridge, Holly
Lateralized occipital degeneration in posterior cortical atrophy predicts visual field deficits
title Lateralized occipital degeneration in posterior cortical atrophy predicts visual field deficits
title_full Lateralized occipital degeneration in posterior cortical atrophy predicts visual field deficits
title_fullStr Lateralized occipital degeneration in posterior cortical atrophy predicts visual field deficits
title_full_unstemmed Lateralized occipital degeneration in posterior cortical atrophy predicts visual field deficits
title_short Lateralized occipital degeneration in posterior cortical atrophy predicts visual field deficits
title_sort lateralized occipital degeneration in posterior cortical atrophy predicts visual field deficits
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288489/
https://www.ncbi.nlm.nih.gov/pubmed/28180083
http://dx.doi.org/10.1016/j.nicl.2017.01.012
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