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1.
PLoS One ; 19(4): e0300415, 2024.
Article in English | MEDLINE | ID: mdl-38626023

ABSTRACT

INTRODUCTION: Multiple Sclerosis (MS) is a chronic neurodegenerative disorder that affects the central nervous system (CNS) and results in progressive clinical disability and cognitive decline. Currently, there are no specific imaging parameters available for the prediction of longitudinal disability in MS patients. Magnetic resonance imaging (MRI) has linked imaging anomalies to clinical and cognitive deficits in MS. In this study, we aimed to evaluate the effectiveness of MRI in predicting disability, clinical progression, and cognitive decline in MS. METHODS: In this study, according to PRISMA guidelines, we comprehensively searched the Web of Science, PubMed, and Embase databases to identify pertinent articles that employed conventional MRI in the context of Relapsing-Remitting and progressive forms of MS. Following a rigorous screening process, studies that met the predefined inclusion criteria were selected for data extraction and evaluated for potential sources of bias. RESULTS: A total of 3028 records were retrieved from database searching. After a rigorous screening, 53 records met the criteria and were included in this study. Lesions and alterations in CNS structures like white matter, gray matter, corpus callosum, thalamus, and spinal cord, may be used to anticipate disability progression. Several prognostic factors associated with the progression of MS, including presence of cortical lesions, changes in gray matter volume, whole brain atrophy, the corpus callosum index, alterations in thalamic volume, and lesions or alterations in cross-sectional area of the spinal cord. For cognitive impairment in MS patients, reliable predictors include cortical gray matter volume, brain atrophy, lesion characteristics (T2-lesion load, temporal, frontal, and cerebellar lesions), white matter lesion volume, thalamic volume, and corpus callosum density. CONCLUSION: This study indicates that MRI can be used to predict the cognitive decline, disability progression, and disease progression in MS patients over time.


Subject(s)
Multiple Sclerosis, Relapsing-Remitting , Multiple Sclerosis , White Matter , Humans , Multiple Sclerosis/diagnostic imaging , Multiple Sclerosis/pathology , Brain/diagnostic imaging , Brain/pathology , Gray Matter/diagnostic imaging , Gray Matter/pathology , White Matter/pathology , Magnetic Resonance Imaging/methods , Atrophy/diagnostic imaging , Atrophy/pathology , Multiple Sclerosis, Relapsing-Remitting/pathology
2.
Int J Neurosci ; : 1-7, 2023 Oct 19.
Article in English | MEDLINE | ID: mdl-37855601

ABSTRACT

BACKGROUND: The Stroke Self-Efficacy Questionnaire (SSEQ) is a self-report scale that measures stroke survivors' self-efficacy and covers specific domains of functioning after stroke. OBJECTIVES: We aimed to determine the validity and reliability of the Persian version of the SSEQ. METHODS: This descriptive cross-sectional study included 124 stroke patients in the sub-acute phase (between 2 weeks and 3 months of stroke onset). The original SSEQ was translated to Persian and back-translated to English. Demographic, neurologic examination, 'Persian Stroke Self-Efficacy Questionnaire (SSEQ-P)', and 'General Self-Efficacy Scale' (GSE-10) data were collected. The reliability of the questionnaire was evaluated by test-retest assessment among 30 people with stroke at an interval of two weeks. Factor analysis was used to assess the validity of SSEQ-P. Cronbach's alpha assessed internal consistency in all participants. Statistical analysis was performed by SPSS software version 23 and SmartPLS version 3. RESULTS: In this study, the mean of SSEQ scores was 87.99 ± 37.09. Content Validity Ratio (CVR) and Content Validity Index (CVI) were favorable. Convergent validity of the questionnaire was reported (r = 0.669) using GSE. Factor loadings of items in SSEQ ranged from 0.41 to 0.92. Validity indices (AVE = 0.75, SRMR = 0.07) showed that the single-factor model of the present study owns a favorable fit. Test-retest reliability and Cronbach's alpha values of SSEQ in the present study were calculated at 0.80 and 0.97, respectively. CONCLUSIONS: The Persian version of the SSEQ depicted acceptable reliability and validity and can be utilized to evaluate the self-efficacy of patients with stroke.HIGHLIGHTSStroke Self-Efficacy Questionnaire (SSEQ) is a self-report scale that measures stroke survivors' self-efficacy.The Persian version of the SSEQ demonstrated acceptable reliability and validity and can be used in stroke patients.

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