scholarly journals EPILEPTIC SEIZURE TRIGGERS IN CHILDREN FROM ROMANIA

2016 ◽  
Vol 15 (2) ◽  
pp. 80-85
Author(s):  
Anca Adriana Arbune ◽  
◽  
Oana Tarta Arsene ◽  
Lacramioara Brinduse ◽  
Dana Craiu ◽  
...  
Keyword(s):  
Sleep Deprivation ◽  
Epileptic Seizure ◽  
Sleep Disturbances ◽  
Treatment Resistance ◽  
Epileptic Seizures ◽  
Medication Administration ◽  
Psychomotor Development ◽  
Neuropsychological Development ◽  
Predicting Factors ◽  
Triggering Factors

Objectives. The identification of the types, characteristics and correlations of epileptic seizure triggers in children with epilepsy from Romania. Material and methods. Transversal observational study on 278 children with epilepsy using the questionnaire method, containing questions regarding seizure characteristics, demographical information and medical history. Results. The lot characteristics were average age 9.74 years; 57.2% males; 19.4% positive epilepsy family history; 48.2% late psychomotor development; 54% deficitary neuropsychological development; 25.2% treatment resistant epilepsies; 59.7% of children had focal epileptic seizures, 35.3% had generalized. Average number of triggering factors was 3 and 20.1% of children had no seizure trigger. The most frequently reported factors were: sleep deprivation 39.57%, anxiety 23%, sleep disturbances 22.66%, fever 20.50%, anger 19%, light stimulation 17.27%, crying 16.19%, interrupting antiepileptic medication administration 14.39%, watching too much TV 14.39%, physical fatigue 12.59%. The number of seizure triggers can be mathematically modelled according to age and treatment resistance. Unresponsiveness to treatment of the epilepsy has a few predictors: timing of the seizure occurrence, imaging alterations, late psychomotor development, IQ, the number of seizure triggering factors. Conclusions. There was at least one seizure trigger identified in 79.9% of children with epilepsy. The most frequent reported trigger was sleep deprivation. The number of seizure triggers can be estimated through mathematical modelling. Treatment resistance of epileptic seizures has more predicting factors.

Automated System for Epileptic Seizures Prediction based on Multi-Channel Recordings of Electrical Brain Activity

2018 ◽  
pp. 115-122 ◽  
Author(s):  
V. A. Maksimenko ◽  
A. A. Harchenko ◽  
A. Lüttjohann
Keyword(s):  
Epileptic Seizure ◽  
Brain Activity ◽  
Epileptic Seizures ◽  
Automated System ◽  
Brain Computer Interfaces ◽  
Electrical Brain Activity ◽  
Computer Interfaces ◽  
Prediction And Prevention ◽  
The Brain

Introduction: Now the great interest in studying the brain activity based on detection of oscillatory patterns on the recorded data of electrical neuronal activity (electroencephalograms) is associated with the possibility of developing brain-computer interfaces. Braincomputer interfaces are based on the real-time detection of characteristic patterns on electroencephalograms and their transformation  into commands for controlling external devices. One of the important areas of the brain-computer interfaces application is the control of the pathological activity of the brain. This is in demand for epilepsy patients, who do not respond to drug treatment.Purpose: A technique for detecting the characteristic patterns of neural activity preceding the occurrence of epileptic seizures.Results:Using multi-channel electroencephalograms, we consider the dynamics of thalamo-cortical brain network, preceded the occurrence of an epileptic seizure. We have developed technique which allows to predict the occurrence of an epileptic seizure. The technique has been implemented in a brain-computer interface, which has been tested in-vivo on the animal model of absence epilepsy.Practical relevance:The results of our study demonstrate the possibility of epileptic seizures prediction based on multichannel electroencephalograms. The obtained results can be used in the development of neurointerfaces for the prediction and prevention of seizures of various types of epilepsy in humans. 

Sleep, health, and society

2018 ◽  
Author(s):  
Francesco P. Cappuccio ◽  
Michelle A. Miller ◽  
Steven W. Lockley ◽  
Shantha M. W. Rajaratnam
Keyword(s):  
Sleep Deprivation ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Modern Society ◽  
Social Conditions ◽  
Sleep Health ◽  
Health And Wellbeing

Sleep disturbances are common in modern society. Since the beginning of the century, populations have shown a decline in sleep duration, owing to changes in environmental and social conditions. Industry was the first to appreciate the detrimental effects of sleep disturbances on health and wellbeing. It has taken, however, many decades to understand the implications for individuals and populations of sustained sleep deprivation.

S1911 Ghrelin Secretion is Altered in Sleep and Enforced Sleep Deprivation in Cirrhosis Compared to Controls: Association With Sleep Disturbances?

2010 ◽  
Vol 138 (5) ◽  
pp. S-815
Author(s):  
Jasmohan S. Bajaj ◽  
Christine Schubert ◽  
Muhammad Hafeezullah ◽  
Joan A. Pleuss ◽  
Glenn Krakower ◽  
...  
Keyword(s):  
Sleep Deprivation ◽  
Sleep Disturbances ◽  
Ghrelin Secretion

scholarly journals Interictal electroencephalogram: sensibility in the diagnosis of epileptic seizures in childhood

2007 ◽  
Vol 13 (1) ◽  
pp. 17-20
Author(s):  
Raquel Rego ◽  
Paulo Breno Noronha Liberalesso ◽  
Mônica Jaques Spinosa ◽  
Simone Carreiro Vieira ◽  
Alaídes S. Fojo Olmos ◽  
...  
Keyword(s):  
Diagnostic Test ◽  
Epileptic Seizure ◽  
Background Activity ◽  
International System ◽  
Epileptic Seizures ◽  
Children's Hospital ◽  
The World ◽  
Pediatric Neurologist ◽  
Spike Wave ◽  
Abnormal Results

INTRODUCTION: It is currently estimated that more than 10 million children all over the world have epilepsy and the EEG is the most commonly used diagnostic test in the investigation of these patients. The aim of this study was to analyze the sensibility of the EEG in revealing abnormalities in children with the clinical hypothesis of an epileptic seizure. METHODS: Out of 970 EEGs obtained between April 2005 and August 2006 at Pequeno Príncipe Children's Hospital, Curitiba, PR, Brazil, 692 fit the criteria proposed (clinical hypothesis of an epileptic seizure after the evaluation of a pediatric neurologist). All EEGs were recorded digitally, with minimal duration of 20 minutes and electrodes positioned according to the International System 10-20. Neonates were excluded. RESULTS: Age ranged from 30 days to 16.5 years (mean of 6.4 years and median of 4.1 years), 403 were female (58.2%). Out of the 692 EEG included in the study, 281 (40.6%) yielded abnormal results, 96 (34.2%) with abnormalities of the background activity (disorganization and/or asymmetry) and 185 (65.8%) with epileptiform paroxysms. The sensibility of the EEG was 40.6%. Sharpe wave occurred in 77 cases (41.6%), spike in 21 (11.4%), polispike in 14 (7.6%), spike-wave in 17 (9.2%), polispike-wave in 24 (13.0%) and exams with discharges of more than one morphology in 32 (17.3%). CONCLUSION: Our data strengthen the concept that even though the diagnosis of epilepsy is clinical and based on the semiological description of the epileptic crisis, the EEG has a good sensibility when properly indicated.

scholarly journals Evaluation of ubiquitin C-terminal hydrolase-L1 enzyme levels in patients with epilepsy

2020 ◽  
Vol 78 (7) ◽  
pp. 424-429
Author(s):  
Ibrahim Halil YASAK ◽  
Mustafa YILMAZ ◽  
Murat GÖNEN ◽  
Metin ATESCELIK ◽  
Mehtap GURGER ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Epileptic Seizure ◽  
Epileptic Seizures ◽  
Healthy Individuals ◽  
Roc Curve Analysis ◽  
Remission Period ◽  
Significant Difference ◽  
Epileptic Attack ◽  
Patients With Epilepsy

ABSTRACT Objective: Ubiquitin C-terminal Hydrolase-L1 (UCH-L1) enzyme levels were investigated in patients with epilepsy, epileptic seizure, remission period, and healthy individuals. Methods: Three main groups were evaluated, including epileptic seizure, patients with epilepsy in the non-seizure period, and healthy volunteers. The patients having a seizure in the Emergency department or brought by a postictal confusion were included in the epileptic attack group. The patients having a seizure attack or presenting to the Neurology outpatient department for follow up were included in the non-seizure (remission period) group. Results: The UCH-L1 enzyme levels of 160 patients with epilepsy (80 patients with epileptic attack and 80 patients with epilepsy in the non-seizure period) and 100 healthy volunteers were compared. Whereas the UCH-L1 enzyme levels were 8.30 (IQR=6.57‒11.40) ng/mL in all patients with epilepsy, they were detected as 3.90 (IQR=3.31‒7.22) ng/mL in healthy volunteers, and significantly increased in numbers for those with epilepsy (p<0.001). However, whereas the UCH-L1 levels were 8.50 (IQR=6.93‒11.16) ng/mL in the patients with epileptic seizures, they were 8.10 (IQR=6.22‒11.93) ng/mL in the non-seizure period, and no significant difference was detected (p=0.6123). When the UCH-L1 cut-off value was taken as 4.34 mg/mL in Receiver Operating Characteristic (ROC) Curve analysis, the sensitivity and specificity detected were 93.75 and 66.00%, respectively (AUG=0.801; p<0.0001; 95%CI 0.747‒0.848) for patients with epilepsy. Conclusion: Even though UCH-L1 levels significantly increased more in patients with epilepsy than in healthy individuals, there was no difference between epileptic seizure and non-seizure periods.

scholarly journals A Novel Permutation Entropy-Based EEG Channel Selection for Improving Epileptic Seizure Prediction

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7972
Author(s):  
Jee S. Ra ◽  
Tianning Li ◽  
Yan Li
Keyword(s):  
Sensitivity And Specificity ◽  
Epileptic Seizure ◽  
Epileptic Seizures ◽  
Optimization Method ◽  
Channel Selection ◽  
Permutation Entropy ◽  
Patient Specific ◽  
Support Vector ◽  
Seizure Prediction ◽  
Epileptic Seizure Prediction

The key research aspects of detecting and predicting epileptic seizures using electroencephalography (EEG) signals are feature extraction and classification. This paper aims to develop a highly effective and accurate algorithm for seizure prediction. Efficient channel selection could be one of the solutions as it can decrease the computational loading significantly. In this research, we present a patient-specific optimization method for EEG channel selection based on permutation entropy (PE) values, employing K nearest neighbors (KNNs) combined with a genetic algorithm (GA) for epileptic seizure prediction. The classifier is the well-known support vector machine (SVM), and the CHB-MIT Scalp EEG Database is used in this research. The classification results from 22 patients using the channels selected to the patient show a high prediction rate (average 92.42%) compared to the SVM testing results with all channels (71.13%). On average, the accuracy, sensitivity, and specificity with selected channels are improved by 10.58%, 23.57%, and 5.56%, respectively. In addition, four patient cases validate over 90% accuracy, sensitivity, and specificity rates with just a few selected channels. The corresponding standard deviations are also smaller than those used by all channels, demonstrating that tailored channels are a robust way to optimize the seizure prediction.

scholarly journals Neuropsychological development of children with biliary atresia after liver transplantation

2021 ◽  
Vol 23 (3) ◽  
pp. 66-72
Author(s):  
A. V. Syrkina ◽  
I. E. Pashkova ◽  
A. R. Monakhov ◽  
O. V. Silina ◽  
E. V. Chekletsova ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Surgical Treatment ◽  
Biliary Atresia ◽  
Psychomotor Development ◽  
Two Stage ◽  
Neuropsychological Development ◽  
One Stage ◽  
The Difference ◽  
Group 2 ◽  
Group 1

Background. In young children, the most common liver disease leading to transplantation is biliary atresia. Liver transplantation has fundamentally improved the survival rate of children with biliary atresia. Studies on developmental outcomes in children are mostly limited to small samples; there are no such studies in the Russian Federation.Objective: to determine the cognitive outcomes in children undergoing one-stage or two-stage surgical treatment of biliary atresia.Materials and Methods. 83 children were divided into groups: 36 children underwent transplantation without previous surgical interventions (group 1), 47 children underwent the Kasai palliative portoenterostomy (group 2). Inclusion criteria: 24 months of age or younger at the moment of transplantation, no medical history of neurological pathology. All children were examined before transplantation and at 1, 3, 6 and 12 months after liver transplantation. Psychomotor development was assessed using the Griffiths Psychomotor Development Scale for children under 24 months (translated by E.S. Keshishian), the Griffiths Intellectual Development Scale for children aged 2 to 8 years, and the Modified Checklist for Autism in Toddlers, Revised, for children 16-30 months old.Results. All children had developmental delays at the time of transplantation. Up to 50% of the children had signs of cachexia, with a shoulder circumference of less than 3 percentile. Only two children showed obvious hepatic encephalopathy in the form of depressed consciousness. After liver transplantation, 94% of group 1 children recovered their preoperative psychomotor development levels, and only 68% in group 2 made these gains. At 3 and 6 months after transplantation, about 80% of group 1 children showed normal psychomotor development, whereas in group 2, only 61% did. By 12 months after liver transplantation, the difference between the groups was more evident: 83.3% of group 1 children and only 53.2% of group 2 children were developing according to age. The difference between the groups was statistically significant (p < 0.05).Conclusion. Children who received one-stage treatment of biliary atresia and underwent liver transplantation have better neuropsychological development within a year after surgery than children with two-stage surgical treatment.

scholarly journals Evaluation of Serum Calcium Levels in Patients with Epileptic Seizure

2020 ◽  
Vol 5 (2) ◽  
pp. 35-37
Author(s):  
Bushra Fiza ◽  
Maheep Sinha ◽  
Shalu Sharma ◽  
Sumit Kumar Tiwari
Keyword(s):  
Bone Metabolism ◽  
Serum Calcium ◽  
Epileptic Seizure ◽  
Neuronal Excitability ◽  
Epileptic Seizures ◽  
Bone Metabolism Markers ◽  
Mahatma Gandhi ◽  
Medical College ◽  
The Central Nervous System ◽  
Gandhi Medical College

ABSTRACT Introduction Epilepsy is a disorder of the central nervous system, characterized by an epileptic seizure. Epileptic seizures occur due to abnormal synchronous activity in the brain. Calcium is an essential component of bone. Hypocalcemia enhances neuronal excitability, and there are many causes of which include hypocalcemia, vitamin D deficiency, and PTH resistance. Materials and methods The study was conducted in Department of Biochemistry in association with the Department of Neurology of Mahatma Gandhi Medical College and Hospital, Jaipur. Fifty patients diagnosed for epileptic seizure and 50 controls, visiting the inpatient department (IPD) and outpatient department (OPD) of Neurology fulfilling the inclusion criteria, were enrolled for the study. Result The present study showed significantly lower level of serum calcium in patients with epileptic seizure when compared to controls. Conclusion The serum calcium was measured between epileptic seizure and controls. Our present study showed significantly lower value of calcium. It is therefore suggested that there should be regular screening for calcium in patients with epileptic seizure. The serum calcium is biomarker of bone metabolism; so, the correlation can be further studied with some more bone metabolism markers in epileptic seizure patients. How to cite this article Sharma S, Fiza B, Tiwari SK, et al. Evaluation of Serum Calcium Levels in Patients with Epileptic Seizure. J Mahatma Gandhi Univ Med Sci Tech 2020;5(2):35–37.

scholarly journals Epileptic seizures in patients with COVID-19: A systematic review of early evidences

2021 ◽  
Vol 8 (1) ◽  
pp. 33-44
Author(s):  
B Roy ◽  
I Banerjee
Keyword(s):  
Systematic Review ◽  
Epileptic Seizure ◽  
Case Reports ◽  
Neurological Complication ◽  
Epileptic Seizures ◽  
Neurological Complications ◽  
Cross Sectional Study ◽  
Cerebrovascular Diseases ◽  
Cross Sectional ◽  
Demyelinating Lesions

Background: Global emergence of SARS-CoV-2 surfaced neurological complications amongst the patients. COVID-19 resembles with other coronavirus strains follows a trend of neurological complication, damage and encephalopathy, which entails considerable risks, requires attention for the neurologists. This is, to our knowledge, the first systematic review of the literature to investigate solely to elucidate the seizure spectrum by unfolding epileptogenicity of the SARS CoV-2 and potential pathways of neuroinvasion. Methods: A systematic literature search was performed in PubMed and Embase database following standard guidelines, using specific keywords based on epileptic seizure onset described from December 01, 2019, to July 17, 2020 Results: A total of 17 studies were included ranging from case reports, series of cases, multicentre cross-sectional study with the first-time onset of seizure associated with an epileptic origin. We excavated causes of complex COVID-19 related neurological manifestations, e.g., cerebrovascular diseases, encephalitis, demyelinating lesions, cytokine storm and proposed routes of SARS-CoV-2 entry into the nervous system to understand the mechanism of an epileptic seizure. Conclusion: COVID-19 is a potent neuropathogen which causes the new onset of epileptic seizures should get diagnostic recognition to evade possible deterioration of neurological conditions. However, more shreds of evidence from the future will further elucidate the epileptogenic potential of the pandemic.

Sign in / Sign up

Export Citation Format

Share Document