METHODS: To understand the genetic factor in a family with GGE, we performed whole exome sequencing (WES) on a trio of a juvenile myoclonic epilepsy/febrile seizure (JME/FS) proband with JME/FS mother and healthy father. Sanger sequencing was carried out for validation of WES results and variant detection in other family members.
RESULTS: Predictably damaging variant found in affected proband and mother but absent in healthy father in SCN1A gene was found to be associated with generalized epilepsy and febrile seizure. The novel non-synonymous substitution (c.5753C>T, p.S1918F) in SCN1A was found in all family members with GGE, of which 4/8 were JME subtypes, and/or febrile seizure, while 3 healthy family member controls did not have the mutation. This mutation was also absent in 41 GGE patients and 414 healthy Malaysian Chinese controls.
CONCLUSION: The mutation is likely to affect interaction between the sodium channel and calmodulin and subsequently interrupt calmodulin-dependent modulation of the channel.
METHODS: The scale was translated following the standard procedures. For psychometric validation, the Turkish version of the PATE scale was administered to 201 native Turkish speakers above the age of 18 who had no history of seizures or epilepsy. It was found that the respondents were able to fill out the scale quickly and without difficulty in understanding the translated items on the scale.
RESULTS: Cronbach's alpha coefficient was found to be 0.843 for the overall scale and above 0.7 for each individual item. Cronbach's alpha was 0.78 for the general domain and 0.792 for the personal domain. Exploratory and confirmatory factor analyses were carried out and showed that the scale had a structure similar to that of the original scale, with the 14 items grouped under two dimensions, similar to the original scale.
CONCLUSION: The Turkish version of the PATE scale was a valid and reliable tool to measure the attitudes toward epilepsy in Turkish society.
METHOD: We translated into Malay a brief screening instrument for ascertainment of epilepsy designed and validated by Ottman et al., using the three-stage cross-cultural adaptation process developed by the International Quality of Life Assessment (IQOLA) project. We then administered the translated questionnaire via online survey to 162 cases (patients with epilepsy under follow-up care at the neurology clinic in University of Malaya Medical Centre, Kuala Lumpur) and 146 controls with no known history of epilepsy for validation.
RESULTS: Applying the most liberal definition for a positive screen, we obtained a sensitivity of 96.3% (95% confidence interval [CI]: 91.8-98.5%), with a specificity of 66.4% (95% CI: 58.1-73.0%) and positive predictive value (PPV) of 2.0%. The most stringent definition for a positive screen (only epilepsy) resulted in a sensitivity of 97.4% (95% CI: 62.0-72.6%), specificity of 98.6% (95% CI: 94.6-99.7%), and PPV of 26.6%. Narrowing the definition of a positive screen decreased sensitivity but improved PPVs. When compared to the original English questionnaire, the sensitivities were similar for all four definitions of a positive screen.
CONCLUSION: This is the first validated epilepsy screening questionnaire in the Malay language and represents a useful tool for the ascertainment of epilepsy in population-based studies.
METHOD: A cross-sectional survey was completed by national representatives in all ASEAN countries (Brunei, Cambodia, East Timor, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam).
RESULTS: Overall facilities for initial epilepsy pre-surgical evaluation are available in most countries, but further non-invasive and invasive investigations are limited. Three countries (Brunei, Cambodia, and East Timor) have no epilepsy center, and 2 countries (Laos, Myanmar) have level 2 centers doing tumor surgery only. Level-3 epilepsy centers are available in 6 countries (Indonesia, Malaysia, Philippine, Singapore, Thailand, Vietnam); only 5 countries (Indonesia, Malaysia, Philippine, Singapore, Thailand) has at least one level-4 epilepsy care facility. Indonesia with 261 million population only has one level 3 and another level 4 center. The costs of presurgical evaluation and brain surgery vary within and among the countries. The main barriers towards epilepsy surgery in ASEAN include lack of expertise, funding and facilities.
CONCLUSIONS: Epilepsy surgery is underutilized in ASEAN with low number of level 3 centers, and limited availability of advanced presurgical evaluation. Lack of expertise, facilities and funding may be the key factors contributing to the underutilization.
METHODS: 322 participants with JME and 126 age and gender-matched controls completed the Barratt's Impulsiveness Scale (BIS-brief) alongside information on seizure history and AED use. We compared group BIS-brief scores and assessed associations of JME BIS-brief scores with seizure characteristics and AED adverse effects.
RESULTS: The mean BIS-brief score in JME was 18.1 ± 4.4 compared with 16.2 ± 4.1 in controls (P = 0.0007). Elevated impulsivity was associated with male gender (P = 0.027), frequent absence seizures (P = 0.0004) and lack of morning predominance of myoclonus (P = 0.008). High impulsivity significantly increased the odds of a psychiatric adverse event on levetiracetam (P = 0.036), but not any other psychiatric or somatic adverse effects.
INTERPRETATION: Trait impulsivity is elevated in JME and comparable to scores in personality and neurotic disorders. Increased seizure frequency and absence of circadian seizure pattern moderate BIS score, suggesting disruption of both cortico-striatal and thalamocortical networks as a shared mechanism between seizures and impulsivity in JME. These findings warrant consideration of impulsivity as a distinct target of intervention, and as a stratifying factor for AED treatment in JME, and perhaps other types of epilepsy. The role of impulsivity in treatment adherence and psychosocial outcome requires further investigation.
METHODOLOGY: A cross-sectional survey using a 36-item questionnaire was conducted among country representatives to AOAN from August 2015 to August 2016.
RESULTS: A total of 18/20 AOAN member countries participated in the survey. All the countries have organized association with regular meetings, election of officers and neurology training program. In 9/18 countries, professionals other than neurologists were eligible for affiliation. In 11/18 countries, prior Internal medicine training (or equivalent postgraduate housemanship) is prerequisite to neurology program. Recertification examination is not a practice, but submission of CME is required in 7/18 countries to maintain membership. 12/18 countries publish peer-reviewed journals with at least 1 issue per year. Subspecialty training is offered in 14/18 countries. The ratio of neurologist to population ranges from 1:14,000 to as low as 1:32 million with 9/18 having <1 neurologist per 100,000 population. 6/18 countries have at least 1 specialized center solely for neurological diseases. In government-funded hospitals, the lag time to be seen by a neurologist and/or obtain neuroimaging scan ranges from 1day to 3months. All except one country have several medical- and lay- advocacy or support groups for different neurological conditions.
IMPLICATIONS: The data generated can be used for benchmarking to improve neurological care, training, collaborative work and research in the field of neurosciences among the AOAN member countries. The paper presented several strategies used by the different organizations to increase their number of neurologists and improve the quality of training. Sharing of best practices, academic networking, exchange programs and use of telemedicine have been suggested.
METHOD: This was a pilot, assessor-blinded, randomized controlled trial. The intervention group received a guided video and was briefed to perform the exercise twice a week for two weeks while the waitlist control group only received the video upon completion of the study. The subjects were assessed at three-time points (T0: Baseline, T1: 2 weeks after the intervention, T2: 4 weeks after intervention), using the Neurological Disorders Depression Index (NDDI-E), General Anxiety Disorder (GAD-7), Quality of Life in Epilepsy Inventory (QOLIE-31) and Mindfulness Attention Awareness Scale (MAAS).
RESULTS: Twenty patients were recruited, with 10 in the intervention and waitlist-control groups. Compared with the waitlist-control group, participants in the intervention group showed significant improvement in NDDI-E at T1 (p = 0.022) but not at T2 (p = 0.056) and greater improvement in GAD-7 at T1 and T2 but not statistically significant. The QOLIE-31 overall score in the intervention group has significantly improved at T1 (p = 0.036) and T2 (p = 0.031) compared to the waitlist-control group. For MAAS, the intervention group also had an increased score at T2 (p = 0.025).
CONCLUSION: The 20-minute mindfulness breathing exercise has an immediate effect in improving depression and quality of life among people with epilepsy.
OBJECTIVE: This study aimed to review all freely available apps related to the SM of PWEs and to determine the SM domains covered in these apps.
METHODS: We performed a search of apps on Google Play and App Store using the keywords "epilepsy" or "seizures" from May to August 2018. Apps were included if they were free and in English language. We excluded apps with installation-related issues and not related to epilepsy self-management (eSM).
RESULTS: A total of 22 eSM apps were identified in our search: 6 of these run only on iOS, 7 only on Android, and 9 run on both operating systems. Of the 11 domains of SM, seizure tracking and seizure response features were covered by most apps (n=22 and n=19, respectively), followed by treatment management (n=17) and medication adherence (n=15). Three apps (Epilepsy Journal, Epilepsy Tool Kit, and EpiDiary) were installed more than 10,000 times, with features focused specifically on a few domains (treatment management, medication adherence, health care communication, and seizure tracking). Two apps (Young Epilepsy and E-Epilepsy Inclusion) covered more than 6 SM domains but both had lower installation rates (5000+ and 100+, respectively).
CONCLUSIONS: Both Android and iOS mHealth apps are available to improve SM in epilepsy, but the installation rate of most apps remains low. The SM features of these apps were different from one another, making it difficult to recommend a single app that completely fulfills the needs of PWEs. The common features of the apps evaluated included seizure tracking and seizure response. To improve the efficacy and availability of these apps, we propose the following: (1) involve the stakeholders, such as physicians, pharmacists, and PWEs, during the development of mHealth apps; (2) assess the efficacy and acceptance of the apps objectively by performing a usability analysis; and (3) promote the apps so that they benefit more PWEs.