PURPOSE:Resilience is conceptually characterized as a dynamic process encompassing positive adaptation in the context of significant adversity. Our goal was to assess the resilience in people with epilepsy (PWE) and how it impacts longitudinally on psychosocial factors, with a particular focus on the manifestation of stigmatization-related feelings. METHODS:We consecutively enrolled 78 adults PWE (42.5 ± 16.2 years old); among them 36 (46.1 %) were seizure-free. All subjects completed at baseline (T0) the Resilience Scale (RS-14) and questionnaires for the assessment of depressive symptoms, anxiety and quality of life: respectively, Beck Depression Inventory-II (BD-II), Generalized Anxiety Disorder-7 (GAD-7) and QOLIE-31 (Q31). All patients were followed up prospectively and re-evaluated after 6-22 months (T1; mean: 14 ± 8 months; median 14 months); at follow up they also completed the Stigma Scale of Epilepsy (SSE) for the assessment of the stigma associated with epilepsy. We correlated resilience values with all psychosocial scores at T0 and T1. Factors associated with resilient and vulnerable outcomes were identified. Finally, a multiple stepwise regression analysis was applied to identify predictors for resilience and stigma perception. RESULTS:The results showed for the RS-14 score a significant direct correlation with the Q31 (p < 0.001) and an inverse correlation with the depressive and anxiety symptoms at both times (T0 and T1), as evaluated with BDI-II (p < 0.001) and GAD-7 (p < 0.001). Finally, we found a significant inverse correlation between RS-14 at T0 and the levels of stigmatization assessed with SSE at T1 (p =.015). Using a multiple stepwise regression analysis separately for resilience and stigma perception, depressive symptoms turned out as the best predictors for both variables. Finally, considering longitudinal evaluation we did not observe significant changes in depressive and anxious symptoms, despite a significant reduction in the total number of seizures at follow up. CONCLUSIONS:Our study showed that depressive symptoms, anxiety and quality of life were significantly associated with resilience in PwE. Finally, as a novel finding resilience was proved to affect the perception of stigma related to epilepsy more than seizures.

ObjectiveBrivaracetam (BRV) is a recent antiseizure medication (ASM) approved as an add-on therapy for people with focal epilepsy. BRV has a good efficacy and safety profile compared to other ASMs. However, its specific effects on resting-state EEG activity and connectivity are unknown. The aim of this study is to evaluate quantitative EEG changes induced by BRV therapy in a population of adult people with drug-resistant epilepsy (PwE) compared to healthy controls (HC).MethodsWe performed a longitudinal, retrospective, pharmaco-EEG study on a population of 23 PwE and a group of 25 HC. Clinical outcome was dichotomized into drug-responders (i.e., >50% reduction in seizures’ frequency; RES) and non-responders (N-RES) after two years of BRV. EEG parameters were compared between PwE and HC at baseline (pre-BRV) and after three months of BRV therapy (post-BRV). We investigated BRV-related variations in EEG connectivity using the phase locking value (PLV).ResultsBRV therapy did not induce modifications in power spectrum density across different frequency bands. PwE presented lower PLV connectivity values compared to HC in all frequency bands. RES exhibited lower theta PLV connectivity compared to HC before initiating BRV and experienced an increase after BRV, eliminating the significant difference from HC.ConclusionsThis study shows that BRV does not alter the EEG power spectrum in PwE, supporting its favourable neuropsychiatric side-effect profile, and induces the disappearance of EEG connectivity differences between PwE and HC.SignificanceThe integration of EEG quantitative analysis in epilepsy can provide insights into the efficacy, mechanism of action, and side effects of ASMs.

Carbamazepine (CBZ) is a first-choice anti-seizure medication (ASM) whose efficacy is often invalidated by adverse effects (AEs). Eslicarbazepine (ESL) is a structural derivative of CBZ with better pharmacokinetic/tolerability profiles. We describe our experience of the overnight CBZ to ESL switch in people with epilepsy (PwE) to improve seizure control, AEs, and ASMs adherence. We retrospectively included 19 PwE (12 females, 53 ± 21 years old) who underwent CBZ to ESL overnight switch due to single/multiple issues: poor efficacy (pEff, N = 8, 42

The well-known neuroprotective role and involvement of vitamin D in the function of the central nervous system has raised the speculation about the possible antiseizure effect of vitamin D supplementation. This issue is crucial when considering people with epilepsy (PWE), who frequently display vitamin D deficiency, but nowadays data are still unconclusive. In our study, we enrolled 25 adult patients affected by drug-resistant epilepsy and hypovitaminosis D to test the effect of Calcifediol on seizure frequency after 6 months of supplementation. Our findings evidenced that Calcifediol administration completely restored 25-hydroxy vitamin D (25-OHD) and intact parathyroid hormone (iPTH) serum values (p < 0.001 for both) without significant changes of median seizure frequency (-6.1%). Anyway, we observed some rate of PWE responders (32%) to Calcifediol supplementation. Further randomized controlled trials with larger subjects 'samples will be needed to verify the possible antiseizure effect of vitamin D.

Objectives: Poor medication adherence in people with epilepsy (PwE) increases mortality, hospitalization, and poor quality of life, representing a critical challenge for clinicians. Several demographic, clinical, and neuropsychological factors were singularly found associated with medication adherence in several stud-ies, but the literature lacks a comprehensive study simultaneously assessing all these variables. Methods: We performed a multicenter and cross-sectional study using online questionnaires with the following clinical scales: Morisky Medication Adherence Scale (MMAS-8), Quality of Life in Epilepsy Inventory 31 (QoLIE-31), Beck Depression Inventory-II (BDI-II), Generalized Anxiety Disorder-7 (GAD-7) and 14-item Resilience scale (RES14) in a population of 200 PwE. We used the ANOVA test and Spearman's correlation to evaluate the relationship between medication adherence and demographic, clinical (seizure frequency, number of anti-seizure medications), and neuropsychological characteristics. We trained separate machine learning models (logistic regression, random forest, support vector machine) to classify patients with medium-high adherence (MMAS-8 >= 6) and poor adherence (MMAS-8 < 6) and to identify the main features that influence adherence. Results: Women were more adherent to medication (p-value = 0.035). Morisky Medication Adherence Scale-8 showed a direct correlation with RES14 (p-value = 0.001) and age (p-value = 0.001), while was inversely correlated with BDI-II (p-value = 0.001) and GAD-7 (p-value = 0.001). In our model, the variables mostly predicting treatment adherence were QoLIE-31 subitems, followed by age, resilience, anxiety, years of school, and disease duration. Conclusion: Our study confirms that gender, age, and neuropsychological traits are relevant factors in predicting medication adherence to PwE. Furthermore, our data provided the first evidence that machine learning on multidimensional self-report questionnaires could help to develop a decisional support sys-tem in outpatient epilepsy clinics. (c) 2022 Elsevier Inc. All rights reserved.

OBJECTIVE:Catamenial epilepsy (CE) is defined as an increase in seizure frequency during specific phases of the menstrual cycle in women with epilepsy. The treatment usually includes a combination of non-hormonal and hormonal therapies. This systematic review summarizes the available data on the efficacy of progesterone and its derivates to treat CE. METHODS:We performed a systematic search of the literature to identify studies reporting data on the use of progesterone and its derivatives (any type and dose) for the treatment of CE. The main outcome included the efficacy of progesterone and its derivatives on seizure frequency. RESULTS:Nineteen articles (457 patients) were included; four were randomized controlled trials (two comparing progesterone vs placebo and two comparing norethisterone vs placebo). Progesterone was generally administered during the luteal phase (from day 15 to 25) or during perimenstrual exacerbations (from day 23 to 25), with an average dose of 10-30 mg/day to a maximum of 300 mg/day. The therapy, usually well tolerated, was ineffective in the randomized controlled trials; conversely, it was associated with an overall reduction in seizure frequency in case reports and uncontrolled studies. CONCLUSIONS:Although data from uncontrolled studies suggest that hormone therapy with progesterone may be useful in the treatment of CE, its efficacy has not been demonstrated in controlled trials. The possible antiseizure effect of progesterone could be mediated by its active metabolite allopregnanolone, making the plasmatic measurement of these hormones mandatory to evaluate efficacy. Further randomized controlled trials should investigate the efficacy of progesterone and its derivatives, addressing these pharmacological issues.

In the course of reversed-phase HPLC analysis, increase in pressure at the column inlet can affect the retention of sorbates only when they penetrate into the grafted phase. Due to conformational changes in the alkyl groups of the loose grafted layer, the solvation of sorbates by these alkyl groups would increase, leading to a growth of the retention factors. In the case of the surface sorption of solutes, the effect is not observed.

BACKGROUND:Anxiety is one of the most relevant psychiatric comorbidities in people with epilepsy (PwE). The role of resilience (RES) in the development of anxiety is not well understood. We purposed to better characterize RES impact on anxiety severity in PwE. MATERIALS AND METHODS:One hundred and seventy-six PwE underwent online surveys including a collection of socio-demographic, seizure-related, and psychological variables. PwE were grouped according to the data collected; anxiety levels were compared through non-parametric statistics. Hierarchical regression analysis (HRA) and logistic regression were performed to characterize RES contribute in predicting the presence and the severity of anxiety. Mediation/moderation analysis was performed to evaluate causal effects among RES, depression, and anxiety. RESULTS:Anxiety did not differ according to socio-demographic and seizure-related variables, exemption for the presence of drug-related adverse effects. Depression, RES, and sleep quality provided the major contribute on anxiety variance. The addiction of RES level in HRA and logistic regression provided a significant increase of R-squared value (p-value = 0.02) and of area under the curve (p-value = 0.03), respectively. RES modulated depression/anxiety relationship (p-value < 0.001), whereas depression did not mediate RES/anxiety correlation (p-value = 0.68). CONCLUSIONS:We demonstrated that RES is a significant independent predictor of anxiety in PwE and is able to modulate depression impact on anxiety. Moreover, we confirmed the relevance of depression and sleep quality on anxiety severity.

To determine the effects of Levetiracetam (LEV) therapy using EEG microstates analysis in a population of newly diagnosed Temporal Lobe Epilepsy (TLE) patients. We hypothesized that the impact of LEV therapy on the electrical activity of the brain can be globally explored using EEG microstates. Twenty-seven patients with TLE were examined. We performed resting-state microstate EEG analysis and compared microstate metrics between the EEG performed at baseline (EEG pre ) and after 3 months of LEV therapy (EEG post ). The microstates A, B, C and D emerged as the most stable. LEV induced a reduction of microstate B and D mean duration and occurrence per second ( p < 0.01). Additionally, LEV treatment increased the directional predominance of microstate A to C and microstate B to D ( p = 0.01). LEV treatment induces a modulation of resting-state EEG microstates in newly diagnosed TLE patients. Microstates analysis has the potential to identify a neurophysiological indicator of LEV therapeutic activity. This study of EEG microstates in people with epilepsy opens an interesting path to identify potential LEV activity biomarkers that may involve increased neuronal inhibition of the epileptic network.