White matter lesion load and location in relation to cognitive impairment in relapsing–remitting multiple sclerosis

Abstract Background In relapsing–remitting multiple sclerosis (RRMS) the connection between cognitive impairment (CI) and white matter lesion load (WM-LL) and location is still unclear. This study aimed to identify the relationship between CI in RRMS patients and WM-LL and locations using a fully au...

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Main Authors: Mohammed Y. Ezzeldin, Eman M. Khedr, Ahmed Nasreldein, Doaa M. Mahmoud
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:The Egyptian Journal of Neurology, Psychiatry and Neurosurgery
Subjects:
Online Access:https://doi.org/10.1186/s41983-024-00826-8
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author Mohammed Y. Ezzeldin
Eman M. Khedr
Ahmed Nasreldein
Doaa M. Mahmoud
author_facet Mohammed Y. Ezzeldin
Eman M. Khedr
Ahmed Nasreldein
Doaa M. Mahmoud
author_sort Mohammed Y. Ezzeldin
collection DOAJ
description Abstract Background In relapsing–remitting multiple sclerosis (RRMS) the connection between cognitive impairment (CI) and white matter lesion load (WM-LL) and location is still unclear. This study aimed to identify the relationship between CI in RRMS patients and WM-LL and locations using a fully automated platform. CI and WM-LL were evaluated in 90 patients with RRMS using the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) and Automated MRI volumetric measures of WM-LL and lesion distribution. Regression analysis of BICAMS as a dependent variable with different clinical and radiological parameters was performed. Results Data were obtained from 90 patients with RRMS who had a mean age of 32.74 ± 8.43 years and a female-to-male ratio of 3:1. The mean (± SD) cognitive rating scores for the BICAMS subtests were 28.07 ± 11.78 for the Symbol Digit Modalities Test (SDMT), 42.32 ± 12.46 for the California Verbal Learning Test-II (CVLT-II), and 16.13 ± 8.17 for the Brief Visuospatial Memory Test-Revised (BVMT-R). According to the BICAMS criteria, 29 cases (32.2%) had CI. BICAMS scores were significantly correlated with age, education level, relapse frequency, disease duration, and time to start disease-modifying therapies. Whole WM-LL and periventricular lesion load were significantly associated with CI. After controlling for age, sex, and education, logistic regression analysis revealed that total WM-LL was the best predictor for CI together with duration of illness and years of education. The cut-off value of 12.85 cc for total WM-LL predicted CI. Conclusions Whole WM-LL and periventricular lesion load are the best anatomical predictors for CI probably due to the effect on the anterior commissural fibers while years of education and duration of disease are the best demographic predictors for CI.
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spelling doaj.art-5ffbe230955646d49787ca2b66d0bb072024-04-21T11:12:30ZengSpringerOpenThe Egyptian Journal of Neurology, Psychiatry and Neurosurgery1687-83292024-04-016011910.1186/s41983-024-00826-8White matter lesion load and location in relation to cognitive impairment in relapsing–remitting multiple sclerosisMohammed Y. Ezzeldin0Eman M. Khedr1Ahmed Nasreldein2Doaa M. Mahmoud3Neuropsychiatric Department, Faculty of Medicine, South Valley University, Qena University HospitalNeuropsychiatry Department, Faculty of Medicine, Assiut University HospitalNeuropsychiatry Department, Faculty of Medicine, Assiut University HospitalNeuropsychiatry Department, Faculty of Medicine, Assiut University HospitalAbstract Background In relapsing–remitting multiple sclerosis (RRMS) the connection between cognitive impairment (CI) and white matter lesion load (WM-LL) and location is still unclear. This study aimed to identify the relationship between CI in RRMS patients and WM-LL and locations using a fully automated platform. CI and WM-LL were evaluated in 90 patients with RRMS using the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) and Automated MRI volumetric measures of WM-LL and lesion distribution. Regression analysis of BICAMS as a dependent variable with different clinical and radiological parameters was performed. Results Data were obtained from 90 patients with RRMS who had a mean age of 32.74 ± 8.43 years and a female-to-male ratio of 3:1. The mean (± SD) cognitive rating scores for the BICAMS subtests were 28.07 ± 11.78 for the Symbol Digit Modalities Test (SDMT), 42.32 ± 12.46 for the California Verbal Learning Test-II (CVLT-II), and 16.13 ± 8.17 for the Brief Visuospatial Memory Test-Revised (BVMT-R). According to the BICAMS criteria, 29 cases (32.2%) had CI. BICAMS scores were significantly correlated with age, education level, relapse frequency, disease duration, and time to start disease-modifying therapies. Whole WM-LL and periventricular lesion load were significantly associated with CI. After controlling for age, sex, and education, logistic regression analysis revealed that total WM-LL was the best predictor for CI together with duration of illness and years of education. The cut-off value of 12.85 cc for total WM-LL predicted CI. Conclusions Whole WM-LL and periventricular lesion load are the best anatomical predictors for CI probably due to the effect on the anterior commissural fibers while years of education and duration of disease are the best demographic predictors for CI.https://doi.org/10.1186/s41983-024-00826-8Multiple sclerosisCognitive impairmentBICAMSVolumetric assessmentLesion loadLesion location
spellingShingle Mohammed Y. Ezzeldin
Eman M. Khedr
Ahmed Nasreldein
Doaa M. Mahmoud
White matter lesion load and location in relation to cognitive impairment in relapsing–remitting multiple sclerosis
The Egyptian Journal of Neurology, Psychiatry and Neurosurgery
Multiple sclerosis
Cognitive impairment
BICAMS
Volumetric assessment
Lesion load
Lesion location
title White matter lesion load and location in relation to cognitive impairment in relapsing–remitting multiple sclerosis
title_full White matter lesion load and location in relation to cognitive impairment in relapsing–remitting multiple sclerosis
title_fullStr White matter lesion load and location in relation to cognitive impairment in relapsing–remitting multiple sclerosis
title_full_unstemmed White matter lesion load and location in relation to cognitive impairment in relapsing–remitting multiple sclerosis
title_short White matter lesion load and location in relation to cognitive impairment in relapsing–remitting multiple sclerosis
title_sort white matter lesion load and location in relation to cognitive impairment in relapsing remitting multiple sclerosis
topic Multiple sclerosis
Cognitive impairment
BICAMS
Volumetric assessment
Lesion load
Lesion location
url https://doi.org/10.1186/s41983-024-00826-8
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AT ahmednasreldein whitematterlesionloadandlocationinrelationtocognitiveimpairmentinrelapsingremittingmultiplesclerosis
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