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Employability among people with uncontrolled seizures: An interpretative phenomenological approach

Wo MC, Lim KS, Choo WY, Tan CT

Epilepsy Behav, 2015 Apr;45:21-30.
PMID: 25794681 DOI: 10.1016/j.yebeh.2015.02.016

This study aimed to explore positive and negative factors affecting the employability in patients with uncontrolled seizures.

Matched MeSH terms: Seizures/psychology*
Automated seizure prediction

Acharya UR, Hagiwara Y, Adeli H

Epilepsy Behav, 2018 11;88:251-261.
PMID: 30317059 DOI: 10.1016/j.yebeh.2018.09.030

In the past two decades, significant advances have been made on automated electroencephalogram (EEG)-based diagnosis of epilepsy and seizure detection. A number of innovative algorithms have been introduced that can aid in epilepsy diagnosis with a high degree of accuracy. In recent years, the frontiers of computational epilepsy research have moved to seizure prediction, a more challenging problem. While antiepileptic medication can result in complete seizure freedom in many patients with epilepsy, up to one-third of patients living with epilepsy will have medically intractable epilepsy, where medications reduce seizure frequency but do not completely control seizures. If a seizure can be predicted prior to its clinical manifestation, then there is potential for abortive treatment to be given, either self-administered or via an implanted device administering medication or electrical stimulation. This will have a far-reaching impact on the treatment of epilepsy and patient's quality of life. This paper presents a state-of-the-art review of recent efforts and journal articles on seizure prediction. The technologies developed for epilepsy diagnosis and seizure detection are being adapted and extended for seizure prediction. The paper ends with some novel ideas for seizure prediction using the increasingly ubiquitous machine learning technology, particularly deep neural network machine learning.

Matched MeSH terms: Seizures/psychology*
Quality of life in Malaysian children with epilepsy

Fong CY, Chang WM, Kong AN, Rithauddin AM, Khoo TB, Ong LC

Epilepsy Behav, 2018 03;80:15-20.
PMID: 29396357 DOI: 10.1016/j.yebeh.2017.12.032

BACKGROUND: Children with epilepsy (CWE) are at risk of impaired quality of life (QOL), and achieving a good QOL is an important treatment goal among CWE. To date, there are no published multiethnic QOL studies in Asia. Our study aimed to: i) investigate the QOL of multiethnic CWE in Malaysia as reported by both the child and parent; ii) determine the level of agreement between child-self report and parent-proxy report QOL; and iii) explore potential correlates of sociodemographic, epilepsy characteristics, and family functioning with QOL in CWE.
METHODS: Cross-sectional study of all CWE aged 8-18years old with at least 6months' duration of epilepsy, minimum reading level of primary school education Year 1, and attending mainstream education. Quality of life was measured using the parent-proxy and child self-report of Quality of Life Measurement for Children with Epilepsy (CHEQOL-25) questionnaire. Total and subscale CHEQOL-25 scores were obtained. The levels of parent-child agreement were determined using intraclass correlation coefficients (ICC). Family functioning was assessed using the General functioning subscale (GF-12).
RESULTS: A total of 115 CWE and their parents participated in the study. In general, Malaysian parents rated children's total CHEQOL-25 scores poorer than the children themselves [mean total parent score: 68.56 (SD: 10.86); mean total child score: 71.82 (SD: 9.55)]. Agreement between child and parent on the CHEQOL-25 was poor to moderate (ICC ranged from 0.31-0.54), with greatest discordance in the epilepsy secrecy domain (ICC=0.31, p=0.026). Parent and child were more likely to agree on more external domains: intrapersonal/social (ICC=0.54, p<0.001) and interpersonal/emotional (ICC=0.50, p<0.001). Malay ethnicity, focal seizure and high seizure frequency (≥1 seizure per month) were associated with lower CHEQOL-25 scores. There was a significant but weak correlation between GF-12 and parent-proxy CHEQOL-25 Total Scores (r=-0.186, p=0.046).
CONCLUSION: Our results emphasize the importance to have the child's perspective of their QOL as the level of agreement between the parent and child reported scores were poor to moderate. Malaysian CWE of Malay ethnicity, those with focal seizures or high seizure frequency are at risk of poorer QOL.

Matched MeSH terms: Seizures/psychology*
Fulltext The quality of life of people with epilepsy at a tertiary referral centre in Malaysia

Norsa'adah B, Zainab J, Knight A

Health Qual Life Outcomes, 2013;11:143.
PMID: 23972031 DOI: 10.1186/1477-7525-11-143

Epilepsy, a chronic disorder of brain characterised by a predisposition to generate epileptic seizures, has an effect on the psychosocial well-being of sufferers. Measuring the quality of life (QOL) of people with epilepsy (PWE) is increasingly recognized as an important component of clinical management. QOL measures differ between countries and there is limited information regarding PWE in Malaysia. The aim of this study was to determine the health related QOL and its relationship with the presence of seizures in PWE at a Malaysian tertiary referral center.

Matched MeSH terms: Seizures/psychology*
Effect of newer anti-epileptic drugs (AEDs) on the cognitive status in pentylenetetrazol induced seizures in a zebrafish model

Choo BKM, Kundap UP, Johan Arief MFB, Kumari Y, Yap JL, Wong CP, et al.

Prog Neuropsychopharmacol Biol Psychiatry, 2019 06 08;92:483-493.
PMID: 30844417 DOI: 10.1016/j.pnpbp.2019.02.014

Epilepsy is marked by seizures that are a manifestation of excessive brain activity and is symptomatically treatable by anti-epileptic drugs (AEDs). Unfortunately, the older AEDs have many side effects, with cognitive impairment being a major side effect that affects the daily lives of people with epilepsy. Thus, this study aimed to determine if newer AEDs (Zonisamide, Levetiracetam, Perampanel, Lamotrigine and Valproic Acid) also cause cognitive impairment, using a zebrafish model. Acute seizures were induced in zebrafish using pentylenetetrazol (PTZ) and cognitive function was assessed using the T-maze test of learning and memory. Neurotransmitter and gene expression levels related to epilepsy as well as learning and memory were also studied to provide a better understanding of the underlying processes. Ultimately, impaired cognitive function was seen in AED treated zebrafish, regardless of whether seizures were induced. A highly significant decrease in γ-Aminobutyric Acid (GABA) and glutamate levels was also discovered, although acetylcholine levels were more variable. The gene expression levels of Brain-Derived Neurotrophic Factor (BDNF), Neuropeptide Y (NPY) and Cyclic Adenosine Monophosphate (CAMP) Responsive Element Binding Protein 1 (CREB-1) were not found to be significantly different in AED treated zebrafish. Based on the experimental results, a decrease in brain glutamate levels due to AED treatment appears to be at least one of the major factors behind the observed cognitive impairment in the treated zebrafish.

Matched MeSH terms: Seizures/psychology*