Objective To analyze the EEG characteristics and clinical significance of subclinical epilepsy from frontotemporal lobe.Methods A collection of patients with epilepsy who had subclinical seizures monitored by 24-hour video EEG from January 2020 to January 2021 in the Neurology Department of General Hospital of Tianjin Medical University General Hospital, and analyzed the duration of seizures and the number of seizures on the EEG.The characteristics and clinical significance of onset time (sleep period/waking period), interictal discharge, and number of leads involved in seizures.Results A total of 18 patients were enrolled, and 280 clinical seizures (11/18) and 34 clinical seizures (9/18) were captured. Among them, 2 patients had both subclinical seizures and clinical seizures. Frontal lobe origin, 235 subclinical seizures and 15 clinical seizures; temporal lobe origin, 26 subclinical seizures and 19 clinical seizures; frontotemporal lobe origin, subclinical seizures 19 times, no clinical seizures were captured. In the subclinical seizure group (11/18), there were 163 sleep episodes (58.2%) and 117 (41.8%) during waking phase; in the clinical seizure group (9/18), 16 episodes during sleep (47.1%) , 18 seizures (52.9%) in the awake period. Among the leads involved in seizures, <6 leads, 270 subclinical seizures, and no clinical seizures; ≥6 leads, subclinical seizures 10 times, and 34 clinical seizures. In the total duration of seizures: the clinical seizure group was (27.43±17.73) s, with a median value of 30s; the subclinical seizure group was (20.10±15.68) s, with a median value of 13 s. In the analysis of Spearman related factors, the subclinical seizure group was positively correlated with the sleep period (P=0.000), and negatively correlated with the normal nuclear magnetic field (P=0.004).Conclusion The epilepsy originated from the frontotemporal lobe has the characteristics of short clinical seizures, fewer leads involved, more likely to occur during sleep, and subclinical seizures that are more likely to occur when the MRI is abnormal. Therefore, strengthening the monitoring of long-term video EEG for patients with epilepsy and attaching importance to the interpretation of EEG during sleep will help to detect the subclinical seizures of patients and further improve the management of patients with epilepsy.
ObjectiveThis study aimed to explore the timing of the long-term antiepileptic drugs (AEDs) therapy in patients with stroke related seizures. MethodsWe enrolled 90 Patients with post-stroke seizures who diagnosed in neurology and epilepsy specialist clinic of Tianjin Medical University General Hospital and followed up for at least 12 months from September 2014 to August 2016. The patients were divided into early-onset seizure group (occurring within 2 weeks of stroke) and late-onset seizure group (occurring after 2 weeks of stroke).The two groups were subdivided into treated and untreated group after the first seizure. ResultsThe patients were followed up for 12~96m (median 20m). 31 patients in ES group, 19 of which in treated group and 12 of which in untreated group. 59 patients in LS group, 36 of which in treated group and 23 of cases in untreated group. The recurrence rate of second seizures occurred in each group and the comparison between the subgroups in the 3rd, 6th, 9th and 12th mouth of follow-up as follows. 1 LS group compared with the group of ES, the recurrence rate of second seizures was high (25.81%~38.71% vs. 49.15%~69.49%), and there was statistical difference (P < 0.05). 2 The recurrence rate of ES in untreated group was lower than that in untreated LS group (16.77% 33.33% vs. 56.52% 73.91%), but only in 3m and 12m the difference was statistically significant (P < 0.05). 3 There was on statistically significant different in ES treated group compared to untreated group, LS treated group compared to untreated group, ES treated group compared to LS treated group (P > 0.05). Both in group of ES and LS, The ratio of seizure recurred patients at different time points during follow-up period was highest at the time of 3m, 3 6m followed, within six months respectively as high as 91.67% and 76.59%. ConclusionOnly one early-onset seizure after stroke can be suspended long-term AEDs treatment, once it recurred that indicates the need for treatment. However, the recurrence rate of late-onset seizure was higher than that of early-onset seizure and it should be given long term AEDs treatment after the first seizure.
ObjectiveTo explore the predictors of seizures during pregnancy, and to explore whether seizure control in the 6 months and 1 year prior to pregnancy can predict the risk of seizures during pregnancy and the occurrence of adverse maternal and infant outcomes, so as to guide the choice of the best fertility timing for women with epilepsy (WWE).MethodsA total of 46 WWE with 48 pregnancies were enrolled in Epilepsy Clinics of Tianjin Medical University from August 2016 to January 2020. Retrospective analysis was used to analyze the risk factors of epileptic seizures in pregnancy. The patients were grouped according to the time of absence of seizures during pregnancy. To analyze the influence of epileptic seizure, pregnancy complications and pregnancy outcome.Results Among 48 pregnancies, the risk of premature rupture of membranes was significantly higher in patients with epilepsy than those without epilepsy (34.6% vs. 0.0%), and the difference was statistically significant (P<0.01). There was no significant difference in the risk of PIH, GDM, gestational anemia and pregnancy complications (P>0.05). For women who had seizure during pregnancy, the mean birth weight of the offspring was slightly lower, and the incidence of low birth weight and fetal distress was higher, but the difference was not statistically significant (P>0.05); Seizures in the 6 months before pregnancy were significantly associated with seizures during pregnancy [RR=4.28, 95%CI (2.10, 8.74), P<0.01]. Further, the risk of adverse pregnancy outcomes increased significantly [RR=2.00, 95%CI (1.10, 3.65), P<0.05] for WWE who had seizure in 6 month before pregnancy; The rates of seizures during pregnancy in the two groups were 25.0% and 20.0%, but the difference was not statistically significant (P>0.05). Compared with the 6-months, the ≥1 year group had a lower risk of PIH and gestational anemia, and the offspring had a lower risk of low birth weight, premature delivery and fetal distress, but the difference was not statistically significant (P>0.05).ConclusionEnsuring seizure-free at least 6 months before pregnancy will significantly reduce the probability of seizures during pregnancy, and is significantly associated with a lower incidence of adverse pregnancy outcomes. Women of childbearing age with epilepsy are advised to plan pregnancy after reaching seizure-free at least 6 months.
ObjectiveThrough neuropsychological assessment, explore the factors that may cause cognitive impairment in patients with focal epilepsy.MethodsCollected 53 epilepsy patients in outpatients and inpatients of Tianjin Medical University General Hospital from March 2016 to January 2020, including 25 males and 28 females, with an average age of (23.58±13.24) years old, and the course of disease (6.49±7.39), all met the 2017 ILEA diagnostic criteria for focal epilepsy, and there was no history of progressive brain disease or brain surgery. Carry out relevant cognitive assessments for the enrolled patients, use SPSS statistical software to conduct Spearman correlation analysis on the cognitive functions of the study subjects, and further analyze the related factors of cognition through Logistic regression analysis to clarify the factors related to cognition whether it may be a risk factor for cognitive impairment in patients with focal epilepsy.Results Spearman correlation analysis showed that the FIQ of patients with focal epilepsy was related to education level, age of onset, seizure pattern, total number of seizures, AEDs and EEG interval discharge side (P<0.05). Binary Logistic regression analysis shows that among all cognitive-related factors, only the number of AEDs (P=0.003) and EEG interval discharge (P=0.013) are the risk of cognitive impairment in patients with focal epilepsy factor.ConclusionIn the clinical treatment of epilepsy, seizures should be actively controlled, but the types of drugs should be minimized. When there are more than 3 kinds of drugs, surgical treatment or other non-surgical treatments can be considered. At the same time, the EEG should be reviewed regularly to understand the changes in epileptiform discharges between episodes.
Objective The ReHo, ALFF, fALFF of resting-state functional magnetic resonance imaging (RS-fMRI) technology were used to study the influencing factors and neural mechanism of cognitive dysfunction in patients with benign epilepsy of childhood with centrotemporal spikes (BECT). Methods Fourteen patients were enrolled (from April 2015 to March 2018) from epilepsy specialist outpatients and Functional Department of Neurosurgery of Tianjin Medical University General Hospital. They underwent the long term VEEG monitoring (one sleep cycle was included at least), the Wechsler Intelligence Scale (China Revised), the head MRI and RS-fMRI examinations. Spike-wave index (SWI), FIQ, VIQ, PIQ scores were calculated. According to full-scale IQ (FIQ), they were divided into two groups: FIQ<90 (scores range from 70 to 89, the average score was 78.3±8.9, 6 cases) and FIQ≥90 (scores range from 90 to 126, the average score was 116.6±12.9, 8 cases). SPSS21.0 statistical software was used to compare the general clinical data and SWI of the two groups, and the correlation between clinical factors and the evaluation results of Wechsler Intelligence Scale was analyzed. The RS-fMRI images were preprocessed and the further data were analysed by two independent samplest-test under the whole brain of regional homogeneity (ReHo), amplitude of low frequency fluctuation (ALFF) and fractional of ALFF (fALFF) methods. The differences of brain activation regions in RS-fMRI between the two groups were observed, and the results of general clinical data, SWI and cognitive function test were compared and analyzed comprehensively. Results The differences of SWI were statistically significant (P<0.05): FIQ<90 group were greater than FIQ≥90 group. The FIQ, VIQ and PIQ of two groups were negatively correlated with SWI (P<0.05). And the FIQ and PIQ were negatively correlated with the total number of seizures (P<0.05). Compared with FIQ≥90 group by two samplet-test based on whole level ReHo, ALFF, fALFF methods, deactivation of brain regions of FIQ<90 group include bilateral precuneus, posterior cingulate and occipital lobe, and enhanced activation of brain regions include left prefrontal cortex, bilateral superior frontal gyrus medial and right precentral gyrus, supplementary motor area, angular gyrus, supramarginal gyrus, middle temporal gyrus, bilateral insular lobe and subcortical gray matter structures. Conclusions Frequent epileptic discharges during slow wave sleep and recurrent clinical episodes were risk factors for cognitive impairment in BECT patients. Repeated clinical seizures and frequent subclinical discharges could cause dysfunction of local brain areas associated with cognition and the default network, resulting in patients with impaired cognitive function.