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Impact of regional cortical and subcortical changes on processing speed in cerebral small vessel disease()

Slowed processing speed is common in elderly subjects and frequently related to cerebral small vessel disease. Previous studies have demonstrated associations between processing speed and subcortical ischemic lesions as well as cortical alterations but the precise functional–anatomical relationships...

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Autores principales: Righart, Ruthger, Duering, Marco, Gonik, Mariya, Jouvent, Eric, Reyes, Sonia, Hervé, Dominique, Chabriat, Hugues, Dichgans, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777834/
https://www.ncbi.nlm.nih.gov/pubmed/24179837
http://dx.doi.org/10.1016/j.nicl.2013.06.006
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author Righart, Ruthger
Duering, Marco
Gonik, Mariya
Jouvent, Eric
Reyes, Sonia
Hervé, Dominique
Chabriat, Hugues
Dichgans, Martin
author_facet Righart, Ruthger
Duering, Marco
Gonik, Mariya
Jouvent, Eric
Reyes, Sonia
Hervé, Dominique
Chabriat, Hugues
Dichgans, Martin
author_sort Righart, Ruthger
collection PubMed
description Slowed processing speed is common in elderly subjects and frequently related to cerebral small vessel disease. Previous studies have demonstrated associations between processing speed and subcortical ischemic lesions as well as cortical alterations but the precise functional–anatomical relationships remain poorly understood. Here we assessed the impact of both cortical and subcortical changes on processing speed by measuring regional cortical thickness and regional lesion volumes within distinct white-matter tracts. To limit confounding effects from age-related pathologies we studied patients with CADASIL, a genetic small vessel disease. General linear model analysis revealed significant associations between cortical thickness in the medial frontal and occipito-temporal cortex and processing speed. Bayesian network analysis showed a robust conditional dependency between the volume of lacunar lesions in the left anterior thalamic radiation and cortical thickness of the left medial frontal cortex, and between thickness of the left medial frontal cortex and processing speed, whereas there was no direct dependency between lesion volumes in the left anterior thalamic radiation and processing speed. Our results suggest that the medial frontal cortex has an intermediate position between lacunar lesions in the anterior thalamic radiation and deficits in processing speed. In contrast, we did not observe such a relationship for the occipito-temporal region. These findings reinforce the key role of frontal–subcortical circuits in cognitive impairment resulting from cerebral small vessel disease.
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spelling pubmed-37778342013-10-31 Impact of regional cortical and subcortical changes on processing speed in cerebral small vessel disease() Righart, Ruthger Duering, Marco Gonik, Mariya Jouvent, Eric Reyes, Sonia Hervé, Dominique Chabriat, Hugues Dichgans, Martin Neuroimage Clin Article Slowed processing speed is common in elderly subjects and frequently related to cerebral small vessel disease. Previous studies have demonstrated associations between processing speed and subcortical ischemic lesions as well as cortical alterations but the precise functional–anatomical relationships remain poorly understood. Here we assessed the impact of both cortical and subcortical changes on processing speed by measuring regional cortical thickness and regional lesion volumes within distinct white-matter tracts. To limit confounding effects from age-related pathologies we studied patients with CADASIL, a genetic small vessel disease. General linear model analysis revealed significant associations between cortical thickness in the medial frontal and occipito-temporal cortex and processing speed. Bayesian network analysis showed a robust conditional dependency between the volume of lacunar lesions in the left anterior thalamic radiation and cortical thickness of the left medial frontal cortex, and between thickness of the left medial frontal cortex and processing speed, whereas there was no direct dependency between lesion volumes in the left anterior thalamic radiation and processing speed. Our results suggest that the medial frontal cortex has an intermediate position between lacunar lesions in the anterior thalamic radiation and deficits in processing speed. In contrast, we did not observe such a relationship for the occipito-temporal region. These findings reinforce the key role of frontal–subcortical circuits in cognitive impairment resulting from cerebral small vessel disease. Elsevier 2013-06-19 /pmc/articles/PMC3777834/ /pubmed/24179837 http://dx.doi.org/10.1016/j.nicl.2013.06.006 Text en © 2013 The Authors http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Righart, Ruthger
Duering, Marco
Gonik, Mariya
Jouvent, Eric
Reyes, Sonia
Hervé, Dominique
Chabriat, Hugues
Dichgans, Martin
Impact of regional cortical and subcortical changes on processing speed in cerebral small vessel disease()
title Impact of regional cortical and subcortical changes on processing speed in cerebral small vessel disease()
title_full Impact of regional cortical and subcortical changes on processing speed in cerebral small vessel disease()
title_fullStr Impact of regional cortical and subcortical changes on processing speed in cerebral small vessel disease()
title_full_unstemmed Impact of regional cortical and subcortical changes on processing speed in cerebral small vessel disease()
title_short Impact of regional cortical and subcortical changes on processing speed in cerebral small vessel disease()
title_sort impact of regional cortical and subcortical changes on processing speed in cerebral small vessel disease()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777834/
https://www.ncbi.nlm.nih.gov/pubmed/24179837
http://dx.doi.org/10.1016/j.nicl.2013.06.006
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