A resting-state functional MRI study of brain dynamic functional connectivity in children and adolescents with drug-resistant temporal lobe epilepsy
Objective To investigate the relationship between dynamic functional connectivity(dFC)and cogni-tive changes in children and adolescents with drug-resistant temporal lobe epilepsy(DRTLE)where conventional MRI results are negative.Methods A total of 41 DRTLE patients and 35 healthy controls underwent assessment using the Wechsler Intelligence Scale for Children and imaging with T2-fluid attenuated inversion recovery,threee-dimension T1 weighted imaging,and resting state functional magnetic resonance imaging.Through independent component analysis and sliding time window methods,two-sample t-tests were used to compare the differences in dFC and temporal properties between the two groups.Additionally,correlation analyses were conducted between altered temporal properties and the age at onset,duration,seizure frequency,and intelligence scores.Results Compared to the healthy control group,the patient group demonstrated statistically significant differences in dFC across four states(q＜0.05,FDR corrected).Between-group comparison:DRTLE patients exhibited weakened dFC in state 2 and increased connectivity in states 1,3,and 4;Furthermore,fraction time and mean dwell time differed between states 1-3,while the number of transitions did not differ between groups;The DRTLE group had lower intelligence scores compared to the healthy control group.Correlation analysis revealed a negative correla-tion between the fraction time in state 1 and the duration(r=-0.337,P=0.031),a positive correlation be-tween mean dwell time and the duration of the disease(r=0.401,P=0.009),and negative correlations be-tween mean dwell time in state 1 and verbal comprehension and perceptual reasoning(r=-0.323,P=0.039;r=-0.323,P=0.040).Conclusion The findings suggest that altered dynamic function connectivity in DRTLE is associated with the duration of the disease and cognitive function.Changes in dynamic brain network properties may serve as potential biomarkers for studying cognitive changes and neural mechanisms in DRTLE.
drug-resistant epilepsyfunctional magnetic resonance imagingdynamic brain networksinde-pendent component analysissliding time window
国家科技期刊平台
NSTL
万方数据
维普
