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Microstructural Alterations in Hippocampal Subfields Mediate Age-Related Memory Decline in Humans

Aging, even in the absence of clear pathology of dementia, is associated with cognitive decline. Neuroimaging, especially diffusion-weighted imaging, has been highly valuable in understanding some of these changes in live humans, non-invasively. Traditional tensor techniques have revealed that the i...

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Autores principales: Radhakrishnan, Hamsanandini, Stark, Shauna M., Stark, Craig E. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161377/
https://www.ncbi.nlm.nih.gov/pubmed/32327992
http://dx.doi.org/10.3389/fnagi.2020.00094
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author Radhakrishnan, Hamsanandini
Stark, Shauna M.
Stark, Craig E. L.
author_facet Radhakrishnan, Hamsanandini
Stark, Shauna M.
Stark, Craig E. L.
author_sort Radhakrishnan, Hamsanandini
collection PubMed
description Aging, even in the absence of clear pathology of dementia, is associated with cognitive decline. Neuroimaging, especially diffusion-weighted imaging, has been highly valuable in understanding some of these changes in live humans, non-invasively. Traditional tensor techniques have revealed that the integrity of the fornix and other white matter tracts significantly deteriorates with age, and that this deterioration is highly correlated with worsening cognitive performance. However, traditional tensor techniques are still not specific enough to indict explicit microstructural features that may be responsible for age-related cognitive decline and cannot be used to effectively study gray matter properties. Here, we sought to determine whether recent advances in diffusion-weighted imaging, including Neurite Orientation Dispersion and Density Imaging (NODDI) and Constrained Spherical Deconvolution, would provide more sensitive measures of age-related changes in the microstructure of the medial temporal lobe. We evaluated these measures in a group of young (ages 20–38 years old) and older (ages 59–84 years old) adults and assessed their relationships with performance on tests of cognition. We found that the fiber density (FD) of the fornix and the neurite density index (NDI) of the fornix, hippocampal subfields (DG/CA3, CA1, and subiculum), and parahippocampal cortex, varied as a function of age in a cross-sectional cohort. Moreover, in the fornix, DG/CA3, and CA1, these changes correlated with memory performance on the Rey Auditory Verbal Learning Test (RAVLT), even after regressing out the effect of age, suggesting that they were capturing neurobiological properties directly related to performance in this task. These measures provide more details regarding age-related neurobiological properties. For example, a change in fiber density could mean a reduction in axonal packing density or myelination, and the increase in NDI observed might be explained by changes in dendritic complexity or even sprouting. These results provide a far more comprehensive view than previously determined on the possible system-wide processes that may be occurring because of healthy aging and demonstrate that advanced diffusion-weighted imaging is evolving into a powerful tool to study more than just white matter properties.
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spelling pubmed-71613772020-04-23 Microstructural Alterations in Hippocampal Subfields Mediate Age-Related Memory Decline in Humans Radhakrishnan, Hamsanandini Stark, Shauna M. Stark, Craig E. L. Front Aging Neurosci Neuroscience Aging, even in the absence of clear pathology of dementia, is associated with cognitive decline. Neuroimaging, especially diffusion-weighted imaging, has been highly valuable in understanding some of these changes in live humans, non-invasively. Traditional tensor techniques have revealed that the integrity of the fornix and other white matter tracts significantly deteriorates with age, and that this deterioration is highly correlated with worsening cognitive performance. However, traditional tensor techniques are still not specific enough to indict explicit microstructural features that may be responsible for age-related cognitive decline and cannot be used to effectively study gray matter properties. Here, we sought to determine whether recent advances in diffusion-weighted imaging, including Neurite Orientation Dispersion and Density Imaging (NODDI) and Constrained Spherical Deconvolution, would provide more sensitive measures of age-related changes in the microstructure of the medial temporal lobe. We evaluated these measures in a group of young (ages 20–38 years old) and older (ages 59–84 years old) adults and assessed their relationships with performance on tests of cognition. We found that the fiber density (FD) of the fornix and the neurite density index (NDI) of the fornix, hippocampal subfields (DG/CA3, CA1, and subiculum), and parahippocampal cortex, varied as a function of age in a cross-sectional cohort. Moreover, in the fornix, DG/CA3, and CA1, these changes correlated with memory performance on the Rey Auditory Verbal Learning Test (RAVLT), even after regressing out the effect of age, suggesting that they were capturing neurobiological properties directly related to performance in this task. These measures provide more details regarding age-related neurobiological properties. For example, a change in fiber density could mean a reduction in axonal packing density or myelination, and the increase in NDI observed might be explained by changes in dendritic complexity or even sprouting. These results provide a far more comprehensive view than previously determined on the possible system-wide processes that may be occurring because of healthy aging and demonstrate that advanced diffusion-weighted imaging is evolving into a powerful tool to study more than just white matter properties. Frontiers Media S.A. 2020-04-09 /pmc/articles/PMC7161377/ /pubmed/32327992 http://dx.doi.org/10.3389/fnagi.2020.00094 Text en Copyright © 2020 Radhakrishnan, Stark and Stark. 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 Neuroscience
Radhakrishnan, Hamsanandini
Stark, Shauna M.
Stark, Craig E. L.
Microstructural Alterations in Hippocampal Subfields Mediate Age-Related Memory Decline in Humans
title Microstructural Alterations in Hippocampal Subfields Mediate Age-Related Memory Decline in Humans
title_full Microstructural Alterations in Hippocampal Subfields Mediate Age-Related Memory Decline in Humans
title_fullStr Microstructural Alterations in Hippocampal Subfields Mediate Age-Related Memory Decline in Humans
title_full_unstemmed Microstructural Alterations in Hippocampal Subfields Mediate Age-Related Memory Decline in Humans
title_short Microstructural Alterations in Hippocampal Subfields Mediate Age-Related Memory Decline in Humans
title_sort microstructural alterations in hippocampal subfields mediate age-related memory decline in humans
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161377/
https://www.ncbi.nlm.nih.gov/pubmed/32327992
http://dx.doi.org/10.3389/fnagi.2020.00094
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