Photosensitive occipital lobe epilepsy (POLE) is a rare idiopathic reflex focal epilepsy that can occur in all age groups. It is characterized by occipital lobe seizures induced by flashing stimuli (flashing sunlight, video games, TV commercials and programs, etc.). Photoparoxysmal response on EEG is induced by intermittent photic stimulation; Ictal EEG shows rapid spike rhythms are originated from the occipital region. There are no obvious abnormalities in brain image. POLE responds well to anti-seizure medications and has a good prognosis. This article reviews the research progress on POLE in order to improve the clinician’s understanding and reduce the rates of missed diagnosis and misdiagnosis.
Objective To develop a behavioral assessment scale for medication management plans in women of childbearing age with epilepsy and to test its reliability and validity. Methods Based on the Theory of Planned Behavior, a pool of questionnaire items was initially drafted through literature review and focus group discussions. A two-round Delphi expert consultation was conducted with 15 experts to form a test version of the behavioral assessment scale for medication management plans in women of childbearing age with epilepsy (including 27 items and 5 dimensions). Convenience sampling was used to conduct surveys among women of childbearing age with epilepsy in some tertiary hospitals in Chuxiong, Shenzhen and Wuhan from February to May 2024 (the first time) and from June to October 2024 (the second time). ResultsThe effective recovery rates of the two rounds of questionnaires were 95.5% and 94.6%, respectively. The final scale included 24 items and 5 dimensions, with good reliability and validity: the content validity index (S-CVI) was 0.934, Cronbach's α coefficient was 0.876, split-half reliability was 0.819, and test-retest reliability was 0.901; exploratory factor analysis extracted 5 factors (cumulative variance explained rate 73.97%, item load 0.42~0.85), and confirmatory factor analysis showed that the model had good fit (χ2/df=1.849, RMSEA=0.075, CFI, GFI, AGFI, IFI, TLI all>0.85). Conclusion The scale meets the reliability and validity standards and can be used to assess the medication management plans and behaviors of women of childbearing age with epilepsy.
The present study is to explore the change process and distribution of phosphorylated DARPP-32 (p-DARPP-32) in rat brain including cortex, hippocampus and striatum and to further deduce whether p-DARPP-32 was possibly involved in epilepsy induced by repetitive low doses of pentylenetetrazol (PTZ). PTZ-induced epilepsy model in rat was established with 30 male SD rats randomly divided into 6 groups, control group and five trial groups [PTZ 1 h,PTZ 6 h,PTZ 24 h,PTZ 48 h and PTZ 72 h respectively, after onset of status epilepticus (SE)]. Immunohistochemistry and immunofluorescence double-labeling were used to detect the temporal time change and distribution of p-DARPP-32 expression and to analyze the coexpression of DARPP-32 and p-DARPP-32 in rat brain after the onset of PTZ-induced generalized SE. The results showed that there was a temporal time change of p-DARPP-32 expression in rat brain after the onset of SE. The number of p-DARPP-32-positive cells increased significantly and reached the peaks at the ends of 1 hour and 6 hours after the onset of SE, but decreased at the end of 24 hours. The moderate to strong p-DARPP-32-immunopositive neurons were observed in cortex, hippocampus and striatum, and located in cell cytoplasm and cell nucleus. Further immunofluorescence double-labeling revealed that denser colocalization of p-DARPP-32 and DARPP-32 in the neurons existed in the area mentioned above. Therefore, PTZ-induced SE may cause phosphorylation of DARPP-32 in rat brain. The temporal time change and distribution of p-DARPP-32 suggest that phosphorylation of DARPP-32 may be involved in PTZ-induced epilepsy in rat brain including cortex, hippocampus and striatum, and p-DARPP-32 may play a central role in the onset of SE.
ObjectiveThe risk factors of relapse in 133 epileptic children after withdrawal were analyzed retrospectively and provide reference for clinical withdrawal.MethodsFrom January 2017 to March 2019, 133 children with withdrawal epilepsy were selected as the study object. According to whether there was recurrence during the follow-up period, the children with epilepsy were divided into recurrence group (42 cases) and non recurrence group (91 cases). The gender, age of onset, history of trauma, frequency of seizure before treatment, EEG before drug reduction, imaging, type of medication, family history, time of reaching control, course of disease before treatment, comorbidity, multiple attack types, withdrawal speed and EEG before treatment were observed and compared between the two groups. ResultsThere were significant differences in EEG (χ2 =7.621), medication type (χ2=8.760), time to control (χ2=6.618), course before treatment (χ2=6.435), multiple seizure types (χ2=5.443) and epilepsy comorbidity (χ2=42.795) between the two groups (P < 0.05). The results of Logistic multiple regression analysis showed that the recurrence of epileptic children after drug reduction / withdrawal was correlated with abnormal EEG before drug reduction [OR=9.268, 95%CI (2.255, 38.092)], combined drug treatment [OR=3.205, 95%CI (1.159, 8.866)] and course of disease > 1 year before treatment [OR=5.363, 95%CI (1.781, 16.150)] (P < 0.05).ConclusionsIn order to reduce the possibility of recurrence of epileptic children, the treatment time of epileptic children with abnormal EEG, combined medication and long course before treatment should be prolonged properly.
ObjectiveTo construct a map of cerebral cortex thickness in Idiopathic Generalized Epilepsy (IGE) diagnosed at the first visit, using T1-weighted brain magnetic resonance imaging and advanced image analysis software. MethodsHigh-resolution three-dimensional T1 images were obtained from 27 IGE patients diagnosed at the first visit and 29 normal controls in Shouguang People's Hospital from January 1, 2022 to December 31, 2021. The location recognition calculation system of the Freesurfer software was used to calculate the values of cortical thickness in each brain region, and the cortical thickness values were transformed into a brain atlas using the image analysis software. A differential brain atlas was generated using the two-sample t-test to analyze the difference in cortical thickness between IGE patients and normal controls. Paired t-test was used for within-group comparison to explore changes of cortical thickness laterality. ResultsIn the IGE brain atlas, the brain regions with higher cortical thickness were the right left temporal pole, the right left entorhinal cortex, the head of the right anterior cingulate gyrus, the right and left insular lobe, the right and left middle temporal gyrus, the right inferior temporal gyrus, the head of the left anterior cingulate gyrus, the left tail of the anterior cingulate gyrus, the left inferior temporal gyrus, the left and right fusiform gyrus, and the left frontal pole. The areas with lower cortical thickness were the right and left paracalcaric gyrus, the right and left cuneiform lobe, the left and right lingual gyrus, the left and right posterior central gyrus, the left lateral occipital gyrus, and the right and left superior parietal gyrus. The distribution of cortical thickness of the IGE group was comparable to the cortical thickness atlas of the normal control. Compared with normal control, the areas with changes of cortical thickness in the IGE group were bilateral superior frontal gyrus, bilateral posterior central gyrus, bilateral anterior central gyri, bilateral lingual gyri, left cuneiform lobe, bilateral entorhinal cortex and temporal pole. The brain areas with laterality of cortical thickness between hemispheres in the IGE group were the tail of anterior cingulate gyrus, cuneiform lobe, inferior parietal gyrus, lateral occipital gyrus, posterior central gyrus, head of anterior cingulate gyrus, and superior marginal gyrus. Compared with normal control, the IGE group has decreased number of brain regions with laterality of cortical thickness. ConclusionThe present study revealed the distribution and laterality of cerebral cortical thickness map in early idiopathic generalized epilepsy, which provides imaging structural basis for brain research in the future.