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The relationship of topographical memory performance to regional neurodegeneration in Alzheimer's disease

The network activated during normal route learning shares considerable homology with the network of degeneration in the earliest symptomatic stages of Alzheimer's disease (AD). This inspired the virtual route learning test (VRLT) in which patients learn routes in a virtual reality environment....

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Autores principales: Pengas, George, Williams, Guy B., Acosta-Cabronero, Julio, Ash, Tom W. J., Hong, Young T., Izquierdo-Garcia, David, Fryer, Tim D., Hodges, John R., Nestor, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389330/
https://www.ncbi.nlm.nih.gov/pubmed/22783190
http://dx.doi.org/10.3389/fnagi.2012.00017
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author Pengas, George
Williams, Guy B.
Acosta-Cabronero, Julio
Ash, Tom W. J.
Hong, Young T.
Izquierdo-Garcia, David
Fryer, Tim D.
Hodges, John R.
Nestor, Peter J.
author_facet Pengas, George
Williams, Guy B.
Acosta-Cabronero, Julio
Ash, Tom W. J.
Hong, Young T.
Izquierdo-Garcia, David
Fryer, Tim D.
Hodges, John R.
Nestor, Peter J.
author_sort Pengas, George
collection PubMed
description The network activated during normal route learning shares considerable homology with the network of degeneration in the earliest symptomatic stages of Alzheimer's disease (AD). This inspired the virtual route learning test (VRLT) in which patients learn routes in a virtual reality environment. This study investigated the neural basis of VRLT performance in AD to test whether impairment was underpinned by a network or by the widely held explanation of hippocampal degeneration. VRLT score in a mild AD cohort was regressed against gray matter (GM) density and diffusion tensor metrics of white matter (WM) (n = 30), and, cerebral glucose metabolism (n = 26), using a mass univariate approach. GM density and cerebral metabolism were then submitted to a multivariate analysis [support vector regression (SVR)] to examine whether there was a network associated with task performance. Univariate analyses of GM density, metabolism and WM axial diffusion converged on the vicinity of the retrosplenial/posterior cingulate cortex, isthmus and, possibly, hippocampal tail. The multivariate analysis revealed a significant, right hemisphere-predominant, network level correlation with cerebral metabolism; this comprised areas common to both activation in normal route learning and early degeneration in AD (retrosplenial and lateral parietal cortices). It also identified right medio-dorsal thalamus (part of the limbic-diencephalic hypometabolic network of early AD) and right caudate nucleus (activated during normal route learning). These results offer strong evidence that topographical memory impairment in AD relates to damage across a network, in turn offering complimentary lesion evidence to previous studies in healthy volunteers for the neural basis of topographical memory. The results also emphasize that structures beyond the mesial temporal lobe (MTL) contribute to memory impairment in AD—it is too simplistic to view memory impairment in AD as a synonym for hippocampal degeneration.
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spelling pubmed-33893302012-07-10 The relationship of topographical memory performance to regional neurodegeneration in Alzheimer's disease Pengas, George Williams, Guy B. Acosta-Cabronero, Julio Ash, Tom W. J. Hong, Young T. Izquierdo-Garcia, David Fryer, Tim D. Hodges, John R. Nestor, Peter J. Front Aging Neurosci Neuroscience The network activated during normal route learning shares considerable homology with the network of degeneration in the earliest symptomatic stages of Alzheimer's disease (AD). This inspired the virtual route learning test (VRLT) in which patients learn routes in a virtual reality environment. This study investigated the neural basis of VRLT performance in AD to test whether impairment was underpinned by a network or by the widely held explanation of hippocampal degeneration. VRLT score in a mild AD cohort was regressed against gray matter (GM) density and diffusion tensor metrics of white matter (WM) (n = 30), and, cerebral glucose metabolism (n = 26), using a mass univariate approach. GM density and cerebral metabolism were then submitted to a multivariate analysis [support vector regression (SVR)] to examine whether there was a network associated with task performance. Univariate analyses of GM density, metabolism and WM axial diffusion converged on the vicinity of the retrosplenial/posterior cingulate cortex, isthmus and, possibly, hippocampal tail. The multivariate analysis revealed a significant, right hemisphere-predominant, network level correlation with cerebral metabolism; this comprised areas common to both activation in normal route learning and early degeneration in AD (retrosplenial and lateral parietal cortices). It also identified right medio-dorsal thalamus (part of the limbic-diencephalic hypometabolic network of early AD) and right caudate nucleus (activated during normal route learning). These results offer strong evidence that topographical memory impairment in AD relates to damage across a network, in turn offering complimentary lesion evidence to previous studies in healthy volunteers for the neural basis of topographical memory. The results also emphasize that structures beyond the mesial temporal lobe (MTL) contribute to memory impairment in AD—it is too simplistic to view memory impairment in AD as a synonym for hippocampal degeneration. Frontiers Media S.A. 2012-07-04 /pmc/articles/PMC3389330/ /pubmed/22783190 http://dx.doi.org/10.3389/fnagi.2012.00017 Text en Copyright © 2012 Pengas, Williams, Acosta-Cabronero, Ash, Hong, Izquierdo-Garcia, Fryer, Hodges and Nestor. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Pengas, George
Williams, Guy B.
Acosta-Cabronero, Julio
Ash, Tom W. J.
Hong, Young T.
Izquierdo-Garcia, David
Fryer, Tim D.
Hodges, John R.
Nestor, Peter J.
The relationship of topographical memory performance to regional neurodegeneration in Alzheimer's disease
title The relationship of topographical memory performance to regional neurodegeneration in Alzheimer's disease
title_full The relationship of topographical memory performance to regional neurodegeneration in Alzheimer's disease
title_fullStr The relationship of topographical memory performance to regional neurodegeneration in Alzheimer's disease
title_full_unstemmed The relationship of topographical memory performance to regional neurodegeneration in Alzheimer's disease
title_short The relationship of topographical memory performance to regional neurodegeneration in Alzheimer's disease
title_sort relationship of topographical memory performance to regional neurodegeneration in alzheimer's disease
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389330/
https://www.ncbi.nlm.nih.gov/pubmed/22783190
http://dx.doi.org/10.3389/fnagi.2012.00017
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