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1
Content available Can we prevent epilepsy? Yes, we can!
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Epilepsy appears in 1% of global population and despite a progress in medicine still around 30% of patients have drug-resistant epilepsy. In recent years increasing attention is paid to possibility of epilepsy prevention. Candidate groups for such treatment are eagerly looked for. One of them is tuberous sclerosis complex (TSC).
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Introduction. Post-traumatic epilepsy develops as a complication of a serious craniocerebral trauma, frequently an open head injury, resulting in neurological impairments. Aim. The study was designed to discuss problems associated with sensory integration dysfunction observed in a seven-year old girl with epilepsy which occurred as a result of craniocerebral injury. Description of the case. The case study is based on information gained from the girl’s medical records, an interview with her guardians and a sensory function questionnaire. Additional examinations assessed the girl’s balance control, and her functional performance according to Barthel scale. The girl received a three-week sensory integration therapy which included exercise involving tactile, vestibular and proprioceptive stimulation, as well as balance exercises and self-care training. Conclusions. In this particular case, application of sensory integration therapy produced beneficial results. The findings show improvement in balance, coordination as well as self-care.
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Content available Detecting epileptogenesis in power variant domains
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This paper presents the merging of two sets of experiments in the continuing endeavor to mine epileptiform activity from Electroencephalograms (EEG). The goal is to develop robust classification rules for identifying epileptiform activity in the human brain. We present advancements using the author's proprietary developed spectral analysis software to link power spectra of rat EEGs experiencing epilepsy seizures with the authors DFA algorithm and their MATLAB spectral analysis. Our system links 1) power spectra of seizures, in sleep, spike and seizure states, with 2) Deterministic Finite Automata (DFA). Combining power spectra with DFA to correctly predict and identify epileptiform activity (spikes) and epileptic seizures opens the door to creating classifiers for seizures. We also present a DFA that separates the states between seizure and nonseizure using robust testing and additional algorithms to increase the rigor when the methodology analyses noisy signals. Our results show optimal identification of seizures even when significant artifact and noise is present in the polyphonic domain. Herein we present a dual methodology that increases epileptoid identification in a noisy domain that links time and frequency domain components from MATLAB and proprietary software to clinical epileptiform activity.
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Content available remote Current knowledge about epilepsy and associated psychosocial conditions
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Introduction. Social knowledge about epilepsy has significant influence on shaping attitudes towards people with this disorder. Aim. The aim of the article was to find out an answer to the following question: How does the level of knowledge and perceiving people with epilepsy differ across societies of different countries? Material and methods. We evaluated 30 publications published between 2000 and 2013 on measuring the knowledge about epilepsy and psycho-social functioning of people with epilepsy. The articles were divided into five groups (including five continents): Europe-14 articles: six from Poland and eight from other countries, one from New Zealand, five from America, six from Asia and four from Africa. Discussion and conclusions. Despite widespread occurrence of the disorder in the world, the level of knowledge about epilepsy is low. Most authors, but also respondents, still postulate the necessity to introduce education on the matter to various age groups. The best form of communication used by the respondents is the media.
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Content available remote Handedness, cognitive processing and intelligence in patients with epilepsy
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Introduction. The current knowledge of significance of some neurobiological and clinical variables for the development of cognitive deterioration in patients with epilepsy remains sparse and controversial. Aim. The current study has been carried out in order to elucidate the role of handedness in terms of influence on cognitive processing and intelligence in patients with epilepsy. Material and methods. One hundred and thirty two patients (62 males, 70 females, aged 27.8 ± 8.9 years) with epilepsy participated in the study. Patients were divided into two groups. The first group included 112 patients that were characterized by intelligence and cognitive impairment while the second group (20 patients) had no mental deterioration and was regarded as controls. The two diagnostic categories accorded with ICD-10 criteria. The diagnosis of Dementia (F-02.8) was confirmed in 54 patients, while the diagnosis of Mild Cognitive Impairment (F-06.7) was confirmed in 58 patients. Results. Our results show that the level of left-handers among patients with cognitive Impairment achieved 14.2%, whilst in the group without cognitive deterioration there were no left-handers, and this difference was statistically significant (p = 0.051). An analysis of possible influence of motor lateralization on degree of cognitive deterioration, revealed that left-handedness determines the higher degrees of intelligence deterioration compared with right-handedness (χ2 = 6.64; p < 0,05). These data were confirmed by use of Wechsler Adult Intelligence Scale (WAIS) and the Mini Mental State Examination (MMSE) tests, and all left-handed epilepsy patients achieved lower scores on MMSE, total WAIS, as well as verbal and nonverbal WAIS scores. Conclusion. Our data confirm a role of some neurobiological variables, with emphasis on cerebral motor lateralization, in their influence upon intelligence level and cognitive deterioration in epilepsy. These data may be used for predictive purposes of intelligence assessment in patients with epilepsy.
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Content available remote EEG characteristics of déjà vu phenomenon
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Introduction. Déjà vu (DV, from French “already seen”) is an aberration of psychic activity associated with transitory erroneous perception of novel circumstances, objects, or people as already known. Aim. Investigation of clinical and diagnostic significance of derealization episodes in epilepsy. Materials and methods. The study involved 166 individuals (mean age 25.2 ± 9.2 yrs; 63.2% women). DV episodes were characterized and compared in groups of healthy volunteers (n = 139) and epilepsy patients (n = 27). The subjects participated in a survey concerning déjà vu characteristics and in a long-time ambulatory EEG monitoring (12–16 h). Results. In epilepsy patients, DV episodes were equally frequent in cryptogenic and symptomatic focal epilepsy, occurred in combination with nearly all types of seizures, and could occur both as an aura and as an individual seizure. The major clinical features distinguishing DV in healthy subjects from DV in epilepsy patients were the frequency and emotional perception of DV episodes, and preceding fear. A critical diagnostic marker is the dynamics of DV characteristics: an increase in frequency and duration, negative emotional background. In EEG, DV episodes in patients began with polyspike activity in the right temporal lobe and, in some cases, ended with slow-wave theta-delta activity in the right hemisphere. Conclusion. Our combined clinical and electrophysiological investigation identified two separate DV types: epileptic Déjà Vu characteristic of epilepsy patients and equivalent to an epileptic seizure, and non-epileptic Déjà Vu occurring in healthy individuals, which is basically a psychological phenomenon.
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Introduction. A significant number of patients suffering from epilepsy prove to be resistant to antiepileptic drugs (AEDs). Recent studies, however, suggest that 10–20% of seemingly drug resistant patients may still become seizure-free under the influence of subsequent dosage modifications. Case report. We report on a young man with cryptogenic focal epilepsy. He had his first seizure at the age of fifteen. His seizure frequency was decreased during the following 11 years. However, seizure-freedom was never achieved even though he was treated with twelve to fourteen different AEDs during this time. Intensive presurgical evaluations did not allow identification of a surgically remediable focus. Adjunctive treatment with lacosamide 400 mg/day was not successful. However, the patient became seizure-free immediately after an increase of the lacosamide dose up to 500 mg/day. The patient is now seizure-free for more than two years based on a combination of 500 mg lacosamide and 350 mg lamotrigine, followed by 550 mg and 250 mg, respectively. Discussion and conclusion. This case report highlights that there is always a chance that modifying the medication can result in a drug-resistant epilepsy patient experiencing a significant reduction of seizures and becoming seizure-free. The decisive step in this example was the off-label prescription of a high dose of lacosamide which the patient tolerated well.
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Background. Monotherapy is the choice regimen to treat newly diagnosed epilepsies. However, if it fails, several strategies may be followed. Aim. To discuss the treatment options when an initial monotherapy regimen fails. Methods. We reviewed the relevant literature on the topic by using PubMed. Review and Discussion. Approximately 64% of people with epilepsy (PWE) de novo are free of seizures with the first appropriate antiepileptic drug (AED) in monotherapy. The type (first versus second generation) of the first AED to use depends on the physician's personal choice provided that it is a first-line AED. There is a tendency to prefer a substitution rather than a combination of a failed first AED when it was produced associated with an idiosyncratic reaction, was poorly tolerated at a moderate dose, or produced no improvement in seizure control. In contrast, there is some evidence to prefer secondary polytherapy whenever the PWE tolerate its first AED but with a suboptimal response. In this case, and particularly mainly if a first generation AED was used as a first-line treatment, I prefer to choose a new generation AED given their more favourable pharmacokinetic and pharmacodynamic profiles. A very often used strategy is transitional polytherapy between two regimens of monotherapy. Conclusion. Any therapeutic decision should take into account factors such as seizure type or syndrome, possibility of drug side effects, comorbidities, comedications, age, teratogenic potential, and compliance. Whatever the option to be taken, the PWE, his family or the caregivers should take part in the decision making.
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Content available remote Cognitive impairment predicts social disability in persons with epilepsy
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Introduction. Cognitive dysfunction is one of the main comorbidities of epilepsy which co-exists with seizures and contributes to the adverse impact of the disease on employment, education and interpersonal relationships. A fundamental question regarding cognitive dysfunction in epilepsy goes as follows: in comparison to seizures, what role does cognitive dysfunction play in causing social disability? The purpose of this review was to evaluate our understanding of the role cognitive impairment plays in social disability in persons with epilepsy (PWE). We systematically searched the medical literature and identified studies which assessed the impact of seizures and cognitive function on some aspect of social disability in PWE. Results and Discussion. We identified 12 studies which adequately measured all variables in non-surgical cohorts, and 9 studies of cohorts following epilepsy surgery. We found evidence from non-surgical and from surgical series that cognitive variables strongly correlate with levels of social disability. Conclusions. We conclude that efforts to better understand the origins of cognitive dysfunction in epilepsy and subsequently at developing treatment modalities will be needed in order to reduce the degree of social disability caused by the condition.
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The article describes a case of a patient with aphasia, diagnosed with symptomatic epilepsy seizures after aneurysm clipping. A speech therapy diagnosis was made, consisting of patient observation, analysis of clinical documentation and speech test results. The subject was diagnosed with disorders of linguistic competence and skills caused by the presence of acoustic-mnestic aphasia. Their consequences are dysfunctions in terms of communication and interaction skills and abilities.
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Epilepsy is a chronic neurological disorder that is caused by unprovoked recurrent seizures. The most commonly used tool for the diagnosis of epilepsy is the electroencephalogram (EEG) whereby the electrical activity of the brain is measured. In order to prevent potential risks, the patients have to be monitored as to detect an epileptic episode early on and to provide prevention measures. Many different research studies have used a combination of time and frequency features for the automatic recognition of epileptic seizures. In this paper, two fusion methods are compared. The first is based on an ensemble method and the second uses the Choquet fuzzy integral method. In particular, three different machine learning approaches namely RNN, ML and DNN are used as inputs for the ensemble method and the Choquet fuzzy integral fusion method. Evaluation measures such as confusion matrix, AUC and accuracy are compared as well as MSE and RMSE are provided. The results show that the Choquet fuzzy integral fusion method outperforms the ensemble method as well as other state-of-the-art classification methods.
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Introduction. One of the indications for dental treatment in general anaesthesia of children and adolescents is the patients’ refusal to cooperate with the dentist; this concerns especially the so-called special care patients, and among them, those suffering from epilepsy. Aim. The aim of the study was to evaluate the structure of treatment procedures in conservative dentistry and dental surgery performed under general anaesthesia in children and adolescents with epilepsy. Material and methods. The analysis covered case histories of 109 patients with epilepsy, aged 3-18 years, who received dental treatment under general anaesthesia. The patients were divided into three age groups, according to the dentition type: patients with deciduous dentition - 3-5 years of age; with mixed dentition - 6-12 years, and with permanent dentition - 13-18 years. The analysis concerned the procedures on both deciduous and permanent teeth. Results. An average number of extractions in a child with full deciduous dentition was 3.9 teeth, while in a child with mixed dentition - 2.7 teeth. The greatest number of deciduous teeth extractions concerned first and second molars. Carious cavities in the occlusal surfaces of permanent teeth, due to deep caries, were the most frequently treated lesions. Conclusions. In patients with epilepsy treated under general anaesthesia, extensive treatment needs, resulting from prophylactic and therapeutic neglect in dental care, were found. Conservative and surgical treatment, combined with prophylactic procedures, performed under general anaesthesia seems one of the necessary elements of a complex dental care in uncooperative children and adolescents
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Content available Developmental disorders in epileptic children
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In cases of developmental age epilepsy, development disorders may increase as symptoms, on the one hand, of progressing biological changes, negative psychosocial factors and unintended effects of pharmacological treatment, thus, resulting in neuro-disintegration. The assessment of the motor, cognitive and communication skills of a child with epilepsy enables determination of the kind and range of disorders, the dynamics of motor and cognitive processes.
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Content available remote Cognitive functions in myoclonic epilepsy with ragged red fibres – a case report
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Introduction. Myoclonic epilepsy with ragged red fibers (MERRF) is a rare, progressive mitochondrial disease affecting multiple systems, including the central nervous system. Typical MERRF symptoms include: myoclonus, epileptic seizures, ataxia and cognitive decline. In mitochondrial diseases selective cognitive impairment or generalized decline, called mitochondrial dementia, is usually diagnosed. Description of case. We present the case of an 18-year-old patient with progressive neurological symptoms such as multifocal myoclonus, cerebellar syndrome (gait impairment, intention tremor, ataxia and dysmetria). The diagnosis of MERRF was confirmed at the age of 16. Neuropsychological examination showed slowing of verbal learning and deficient spontaneous recall with improvement on recognition as well as low verbal fluency. Discussion. The authors discuss differential diagnosis of mitochondrial diseases (MIDs) in respect to cognitive function impairment and, in particular, to dementia: MELAS (mitochondrial myopathy, encephalopathy, lactic acidosis and stroke-like episodes), KSS (Kearns-Sayre syndrome), NARP syndrome (neuropathy, ataxia, and retinitis pigmentosa and ptosis). The authors emphasize importance of comprehensive neuropsychological assessment in differential diagnosis of MIDs. Conclusion. Mild and selective cognitive impairment was identified. The type and degree of cognitive function impairment is not sufficient to diagnose dementia in this particular case of MERRF. Comprehensive neuropsychological assessment is crucial in MID in order to provide the patient with useful recommendations for education planning.
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Introduction. Very few epilepsy phenotypes have been associated with causative genes; nevertheless, it is becoming possible, for some epilepsy phenotypes, to predict the most efficacious anti-epileptic drugs for patients based on their genetic makeup. The development of individualized medicine based on genetic information and the genetic diagnosis of epilepsy are expected to greatly improve the diagnosis and treatment of epilepsy. Here, we developed a DNA array (resequencing array) for the genetic diagnosis of epilepsies in which 14 epilepsy – related genes (SCN1A, SCN1B, CHRNA4, CHRNA7, CHRNB2, GABRA1, GABRD, GABRG2, CACNB4, CLCN2, KCNQ2, KCNQ3, CACNA1A, and CACNA1H) have been mounted. Aim. The aim of the present study is to evaluate the performance of our custom array in detecting the SCN1Amutations in patients with severe myoclonic epilepsy in infancy. Material and methods. We compared mutation data generated by DNA array sequencing of DNA samples from patients with severe myoclonic epilepsy in infancy to the data generated by capillary sequencing. Results. Heterozygosity was detected in 44 of 48 patients (92%). We successfully identified epilepsy mutations, and the results of DNA array analyses were largely consistent with the results of capillary sequencing analysis. Conclusion. These findings indicate that this DNA array is likely to be a useful tool in clinical settings.
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Introduction. Epilepsy that is associated with neurocutaneous disorders seriously deteriorates quality of life and cognitive outcome of affected children. Recent advances in epilepsy pathophysiology raise hopes for better treatment results in this difficult group of patients. Aim. The aim of this review is to present recent treatment recommendations as well as current research progress in the most frequent neurocutaneous disorders. Material and methods. We analyzed PubMed database to select the most prominent and recent (up to 2014 year) publications on the treatment and mechanisms of epilepsy in selected neurocutaneous disorders. We aimed to emphasize evidence-based medicine recommendations as well as basic experimental studies dealing with molecular mechanisms of epileptogenesis. Discussion and conclusions. Recent advances in disease-modifying treatment options such as mTOR inhibitors in patients with tuberous sclerosis complex open up new perspectives for neurologists. Traditional resective surgery has still a major role as a treatment of choice in carefully selected cases.
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Content available remote Designed Filter with CCII+ and Analysis of EEG for Epilepsy and Alzheimer
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Biomedical signals are usually low amplitude and high bandwidth signals. EEG signals are very low amplitude (generally less than 300 μV) and very high bandwidth (range from 0.5 to 100 Hz), too. EEG was used to assist in the diagnosis of brain damage, Alzheimer disease and Parkinson disease, and certain mental disorders. In this study amplifier and filters designed with CCII+ and these simulations are performed with PSPICE program. Normal brain signal, the Alzheimer brain signal, epilepsy brain signal are compared, the shrinking hippocampus compared 25 years old normal brain, 75 years old normal brain and 75 years old with the Alzheimer brain.
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Epilepsy is a chronic neurologic disorder that affects about 0.7% of the population. Patients with epilepsy suffer from recurrent seizures, which can be focal or generalized in nature. The third-generation of anticonvulsant drugs includes lacosamide, rufinamide, vigabatrin, retigabine, perampanel, eslicarbazepine acetate, brivaracetam and stiripentol. Other compounds, such as ganaxolone, cannabidiol, selurampanel, and everolimus among others, with different mechanisms of action are currently in clinical development. Furthermore, numerous compounds or classes of compounds are investigated in preclinical studies. Nevertheless, about 30% of epilepsy patients suffer from uncontrolled seizures despite pharmacotherapy, including the third-generation of anticonvulsant drugs. Additionally, the occurrence of adverse drug effects is responsible for poor compliance as well as discontinuation of the therapy, in up to 25% of patients before having reached the effective dose amount. Neuropsychiatric undesirable effects, include depression, aggression, irritable mood, anxiety, mood instability, paranoid ideation, delusions, hallucinations. Moreover, suicidal ideation and behaviour have been reported in patients treated with anticonvulsant drugs.
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A microprobing system, which has the functions of measuring the intracranial EEG(IC-EEG) and freezing brain tissue, is proposed for the minimally invasive brain cryogenic surgery of intractable epilepsy treatment. Two fi76 µm platinum electrodes were equipped on a fi0.8 mm cryogenic probe. Epileptic burst, which was evoked on a brain sample of a rat, was measured by the electrodes. The freezing function was confirmed with the experiments with sliced hippocampus samples of a rat.
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The aim of this study was to examine the neurophysiological correlates of cognitive dysfunctions in a patient with the minimally verbal variant of Autism Spectrum Disorder (ASD + MV), who after reaching adulthood showed progressive deterioration of his cognitive skills. The patient was a 25-year-old male, diagnosed with ASD. He never developed spoken language, and communicated only by gesturing or writing on a computer. Our findings confirmed comorbidity of ASD and epilepsy, accompanied by dysfunction of cognitive control. We also found that spontaneous EEG and event-related potentials (ERPs) in a cued GO/NOGO task can be used to assess functional brain changes concomitant with ASD.
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