[Research advances in multimodal magnetic resonance for cognitive impairment in children with benign childhood epilepsy with centrotemporal spikes].

Cognitive impairment in children with benign childhood epilepsy with centrotemporal spikes (BECT) has complex etiologies and is closely associated abnormal neural networks. Multimodal magnetic resonance imaging of brain structure and function is a powerful tool for studying abnormal neural networks of cognitive impairment in epilepsy and can explore the pathogenesis of cognitive impairment in epilepsy at the level of brain structure and function by analyzing the imaging features of brain structure and function. This article reviews the research advances in multimodal magnetic resonance for cognitive impairment in children with BECT.

Associated and predictive factors of quality of life in patients with temporal lobe epilepsy.

OBJECTIVE: Identifying the factors that are correlated with and predictive of reduced quality of life (QOL) is essential to optimize the treatment of epilepsy and the management of comorbidities. METHODS: We analyzed the independent associations between the Quality of Life in Epilepsy-31 (QOLIE-31) inventory and the demographic, clinical, psychiatric, and cognitive variables of 47 consecutive patients with temporal lobe epilepsy (TLE). Predictors of the correlated variables were analyzed by multiple linear regression analysis. RESULTS: The QOLIE-31 total score was positively correlated with occupational status and Mini-Mental State Examination (MMSE) scores (r = 0.290 and 0.295, respectively; P < 0.05) and negatively correlated with the duration of seizures, adverse effects of antiepileptic drugs (AEDs), and the Pittsburgh Sleep Quality Inventory (PSQI), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS) scores (r = -0.357, 0.321, 0.328, -0.672, and -0.565, respectively; P < 0.05; P < 0.01 for the SAS and SDS). In the final multivariate regression model, anxiety, long durations of seizures, adverse effects of AEDs, and depression explained approximately 60.6% (adjusted R2 = 0.606, R coefficient = 0.800) of the QOLIE-31 overall score variance. CONCLUSION: Anxiety, long durations of seizures, adverse effects of AEDs, and depression were significant predictors of QOL, and these variables had relatively high prediction capacities for the overall QOLIE-31 in the regression model. Comorbid anxiety is the most powerful negative determinant of the QOLIE-31.