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Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis

BACKGROUND AND OBJECTIVE: Cognitive impairment (CI) is common in multiple sclerosis (MS), but underlying mechanisms and their imaging correlates are not completely understood. The gray and white matter structures of the limbic system (LS) play crucial roles in different aspects of cognition. To inve...

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Autores principales: Keser, Zafer, Hasan, Khader M., Mwangi, Benson, Younes, Kyan, Khayat-Khoei, Mahsa, Kamali, Arash, Lincoln, John A., Nelson, Flavia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5857595/
https://www.ncbi.nlm.nih.gov/pubmed/29593633
http://dx.doi.org/10.3389/fneur.2018.00132
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author Keser, Zafer
Hasan, Khader M.
Mwangi, Benson
Younes, Kyan
Khayat-Khoei, Mahsa
Kamali, Arash
Lincoln, John A.
Nelson, Flavia M.
author_facet Keser, Zafer
Hasan, Khader M.
Mwangi, Benson
Younes, Kyan
Khayat-Khoei, Mahsa
Kamali, Arash
Lincoln, John A.
Nelson, Flavia M.
author_sort Keser, Zafer
collection PubMed
description BACKGROUND AND OBJECTIVE: Cognitive impairment (CI) is common in multiple sclerosis (MS), but underlying mechanisms and their imaging correlates are not completely understood. The gray and white matter structures of the limbic system (LS) play crucial roles in different aspects of cognition. To investigate their role in MS related CI, and since a detailed evaluations are lacking in the literature, we used a comprehensive neuroimaging approach to evaluate CI’s correlations with the main components of the LS. METHODS: Ten non-cognitively impaired MS patients and 30 MS patients with diagnosed CI, who underwent a comprehensive neuropsychological evaluation were included in the analysis. Microstructural integrity, volumetry of main limbic gray and white matter structures and cortical thickness were assessed for associations with CI. RESULTS: Fornix and cingulum/cingulate cortices were found to be the strongest correlates of CI in MS. As expected, LS’ gray and white matter structures were involved in various cognitive functions. Uncinate fasciculi showed significant correlation with verbal and visuospatial learning and memory, phonemic and semantic fluency; hippocampi with visuospatial skills, phonemic and semantic fluency, executive functions, and processing speed; thalami with verbal learning, visuospatial skills, semantic fluency; and amygdala with verbal recognition discrimination. CONCLUSION: This comprehensive neuroimaging approach elucidated the role of the main limbic structures in cognitive functions associated with MS-related CI.
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spelling pubmed-58575952018-03-28 Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis Keser, Zafer Hasan, Khader M. Mwangi, Benson Younes, Kyan Khayat-Khoei, Mahsa Kamali, Arash Lincoln, John A. Nelson, Flavia M. Front Neurol Neuroscience BACKGROUND AND OBJECTIVE: Cognitive impairment (CI) is common in multiple sclerosis (MS), but underlying mechanisms and their imaging correlates are not completely understood. The gray and white matter structures of the limbic system (LS) play crucial roles in different aspects of cognition. To investigate their role in MS related CI, and since a detailed evaluations are lacking in the literature, we used a comprehensive neuroimaging approach to evaluate CI’s correlations with the main components of the LS. METHODS: Ten non-cognitively impaired MS patients and 30 MS patients with diagnosed CI, who underwent a comprehensive neuropsychological evaluation were included in the analysis. Microstructural integrity, volumetry of main limbic gray and white matter structures and cortical thickness were assessed for associations with CI. RESULTS: Fornix and cingulum/cingulate cortices were found to be the strongest correlates of CI in MS. As expected, LS’ gray and white matter structures were involved in various cognitive functions. Uncinate fasciculi showed significant correlation with verbal and visuospatial learning and memory, phonemic and semantic fluency; hippocampi with visuospatial skills, phonemic and semantic fluency, executive functions, and processing speed; thalami with verbal learning, visuospatial skills, semantic fluency; and amygdala with verbal recognition discrimination. CONCLUSION: This comprehensive neuroimaging approach elucidated the role of the main limbic structures in cognitive functions associated with MS-related CI. Frontiers Media S.A. 2018-03-12 /pmc/articles/PMC5857595/ /pubmed/29593633 http://dx.doi.org/10.3389/fneur.2018.00132 Text en Copyright © 2018 Keser, Hasan, Mwangi, Younes, Khayat-Khoei, Kamali, Lincoln and Nelson. 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 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
Keser, Zafer
Hasan, Khader M.
Mwangi, Benson
Younes, Kyan
Khayat-Khoei, Mahsa
Kamali, Arash
Lincoln, John A.
Nelson, Flavia M.
Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis
title Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis
title_full Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis
title_fullStr Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis
title_full_unstemmed Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis
title_short Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis
title_sort quantitative limbic system mapping of main cognitive domains in multiple sclerosis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5857595/
https://www.ncbi.nlm.nih.gov/pubmed/29593633
http://dx.doi.org/10.3389/fneur.2018.00132
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