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Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis

Early cognitive impairment (CI) detection is crucial in multiple sclerosis (MS). However, it can progress silently regardless of relapse activity and reach an advanced stage. We aimed to determine whether the corpus callosum area (CCA) is a sensitive and feasible marker for CI in MS compared to othe...

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Autores principales: Akaike, Shun, Okamoto, Tomoko, Kurosawa, Ryoji, Onodera, Nozomi, Lin, Youwei, Sato, Wakiro, Yamamura, Takashi, Takahashi, Yuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647459/
https://www.ncbi.nlm.nih.gov/pubmed/37959412
http://dx.doi.org/10.3390/jcm12216948
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author Akaike, Shun
Okamoto, Tomoko
Kurosawa, Ryoji
Onodera, Nozomi
Lin, Youwei
Sato, Wakiro
Yamamura, Takashi
Takahashi, Yuji
author_facet Akaike, Shun
Okamoto, Tomoko
Kurosawa, Ryoji
Onodera, Nozomi
Lin, Youwei
Sato, Wakiro
Yamamura, Takashi
Takahashi, Yuji
author_sort Akaike, Shun
collection PubMed
description Early cognitive impairment (CI) detection is crucial in multiple sclerosis (MS). However, it can progress silently regardless of relapse activity and reach an advanced stage. We aimed to determine whether the corpus callosum area (CCA) is a sensitive and feasible marker for CI in MS compared to other neuroimaging markers. We assessed cognitive function in 77 MS patients using the Symbol Digit Modalities Test, Paced Auditory Serial Additions Task, Wechsler Adult Intelligence Scale-IV, and Wechsler Memory Scale-Revised. The neuroimaging markers included manually measured CCA, two diffusion tensor imaging markers, and nine volumetric measurements. Apart from volumes of the hippocampus and cerebellum, ten markers showed a significant correlation with all neuropsychological tests and significant differences between the groups. The normalized CCA demonstrated a moderate-to-strong correlation with all neuropsychological tests and successfully differentiated between the CI and cognitively normal groups with 80% sensitivity and 83% specificity. The marker had a large area under the curve and a high Youden index (0.82 and 0.63, respectively) and comparability with established cognitive markers. Therefore, the normalized CCA may serve as a reliable marker for CI in MS and can be easily implemented in clinical practice, providing a supportive diagnostic tool for CI in MS.
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spelling pubmed-106474592023-11-06 Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis Akaike, Shun Okamoto, Tomoko Kurosawa, Ryoji Onodera, Nozomi Lin, Youwei Sato, Wakiro Yamamura, Takashi Takahashi, Yuji J Clin Med Article Early cognitive impairment (CI) detection is crucial in multiple sclerosis (MS). However, it can progress silently regardless of relapse activity and reach an advanced stage. We aimed to determine whether the corpus callosum area (CCA) is a sensitive and feasible marker for CI in MS compared to other neuroimaging markers. We assessed cognitive function in 77 MS patients using the Symbol Digit Modalities Test, Paced Auditory Serial Additions Task, Wechsler Adult Intelligence Scale-IV, and Wechsler Memory Scale-Revised. The neuroimaging markers included manually measured CCA, two diffusion tensor imaging markers, and nine volumetric measurements. Apart from volumes of the hippocampus and cerebellum, ten markers showed a significant correlation with all neuropsychological tests and significant differences between the groups. The normalized CCA demonstrated a moderate-to-strong correlation with all neuropsychological tests and successfully differentiated between the CI and cognitively normal groups with 80% sensitivity and 83% specificity. The marker had a large area under the curve and a high Youden index (0.82 and 0.63, respectively) and comparability with established cognitive markers. Therefore, the normalized CCA may serve as a reliable marker for CI in MS and can be easily implemented in clinical practice, providing a supportive diagnostic tool for CI in MS. MDPI 2023-11-06 /pmc/articles/PMC10647459/ /pubmed/37959412 http://dx.doi.org/10.3390/jcm12216948 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Akaike, Shun
Okamoto, Tomoko
Kurosawa, Ryoji
Onodera, Nozomi
Lin, Youwei
Sato, Wakiro
Yamamura, Takashi
Takahashi, Yuji
Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis
title Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis
title_full Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis
title_fullStr Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis
title_full_unstemmed Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis
title_short Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis
title_sort exploring the potential of the corpus callosum area as a predictive marker for impaired information processing in multiple sclerosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647459/
https://www.ncbi.nlm.nih.gov/pubmed/37959412
http://dx.doi.org/10.3390/jcm12216948
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