Generalized epileptic seizures as the presenting symptom of lacunar infarction in the brain

1988 ◽  
Vol 235 (8) ◽  
pp. 472-474 ◽  
Author(s):  
E. Avrahami ◽  
V. E. Drory ◽  
M. J. Rabey ◽  
D. F. Cohn
Keyword(s):  
Epileptic Seizures ◽  
Lacunar Infarction ◽  
The Brain

Complexity Measures of Brain Electrophysiological Activity

2010 ◽  
Vol 24 (2) ◽  
pp. 131-135 ◽  
Author(s):  
Włodzimierz Klonowski ◽  
Pawel Stepien ◽  
Robert Stepien
Keyword(s):  
Brain Activity ◽  
Deterministic Chaos ◽  
Epileptic Seizures ◽  
Eeg Signal ◽  
Eeg Signals ◽  
Complexity Measures ◽  
Electrophysiological Activity ◽  
Signal Complexity ◽  
Physiological Sleep ◽  
The Brain

Over 20 years ago, Watt and Hameroff (1987 ) suggested that consciousness may be described as a manifestation of deterministic chaos in the brain/mind. To analyze EEG-signal complexity, we used Higuchi’s fractal dimension in time domain and symbolic analysis methods. Our results of analysis of EEG-signals under anesthesia, during physiological sleep, and during epileptic seizures lead to a conclusion similar to that of Watt and Hameroff: Brain activity, measured by complexity of the EEG-signal, diminishes (becomes less chaotic) when consciousness is being “switched off”. So, consciousness may be described as a manifestation of deterministic chaos in the brain/mind.

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. 

Epilepsy and Related Disorders

2018 ◽  
Author(s):  
Barbara Dworetzky ◽  
Jong Woo Lee
Keyword(s):  
Differential Diagnosis ◽  
Generic Drugs ◽  
Sudden Change ◽  
Epileptic Seizures ◽  
Quality Measures ◽  
The Elderly ◽  
Childhood And Adolescence ◽  
Nonepileptic Seizures ◽  
Infancy And Early Childhood ◽  
The Brain

Epilepsy is a chronic disorder of the brain characterized by recurrent unprovoked seizures. A seizure is a sudden change in behavior that is accompanied by electrical discharges in the brain. Many patients presenting with a first-ever seizure are surprised to find that it is a very common event. A reversible or avoidable seizure precipitant, such as alcohol, argues against underlying epilepsy and therefore against treatment with medication. This chapter discusses the epidemiology, etiology, and classification of epilepsy and provides detailed descriptions of neonatal syndromes, syndromes of infancy and early childhood, and syndromes of late childhood and adolescence. The pathophysiology, diagnosis, and differential diagnosis are described, as are syncope, migraine, and psychogenic nonepileptic seizures. Two case histories are provided, as are sections on treatment (polytherapy, brand-name versus generic drugs, surgery, stimulation therapy, dietary treatments), complications of epilepsy and related disorders, prognosis, and quality measures. Special topics discussed are women?s issues and the elderly. Figures illustrate a left midtemporal epileptic discharge, wave activity during drowsiness, cortical dysplasias, convulsive syncope, rhythmic theta activity, right hippocamal sclerosis, and right temporal hypometabolism. Tables describe international classifications of epileptic seizures and of epilepsies, epilepsy syndromes and related seizure disorders, differential diagnosis of seizure, differentiating epileptic versus nonepileptic seizures, antiepileptic drugs, status epilepticus protocol for treatment, when to consider referral to a specialist, and quality measures in epilepsy.  This review contains 7 figures, 10 tables, and 33 references. Key Words: Seizures, focal (partial)seizure, generalized seizures, Myoclonic seizures, Atonic seizures, Concurrent electromyographyTonic-clonic (grand mal) seizures

scholarly journals Neuropsychological aspects of psychogenic nonepileptic seizures

2007 ◽  
Vol 13 (4 suppl 1) ◽  
pp. 24-27
Author(s):  
Mirna Wetters Portuguez ◽  
Danielle Irigoyen da Costa ◽  
Sabine Possa Marroni ◽  
Vanessa Pagliarini ◽  
Karin Vieira
Keyword(s):  
Sexual Abuse ◽  
Physical Abuse ◽  
Multidisciplinary Team ◽  
Emotional Abuse ◽  
Epileptic Seizures ◽  
Mental Processes ◽  
Psychogenic Nonepileptic Seizures ◽  
Therapeutic Procedures ◽  
Nonepileptic Seizures ◽  
The Brain

Psychogenic nonepileptic seizures (PNES) may be defined as paroxysmal changes in behavior that are similar to epileptic seizures but are not associated with quantifiable alterations in the electrical activity of the brain. At the Epilepsy Surgery Program (ESP) of the São Lucas Hospital at PUCRS (HSL-PUCRS), we studied 52 individuals (37 females and 15 males) with a diagnosis of PNES, associated (57%) or not (23%) with refractory epileptic seizures. We found emotional abuse (100%), physical abuse (80%), emotional neglect (80%), physical negligence (70%) and sexual abuse (30%), mood (40%) and anxiety disorders (50%), as the main psychological components in such population. Although the medical and psychosocial impact of PNES can be estimated as significant, the absence of specialized services for its treatment is striking. Multiple diagnostic and therapeutic procedures and the participation of a specialized multidisciplinary team – where neuropsychology functions as a link between the mental processes/psychopathologies and the brain – are required to ensure proper management of such cases.

scholarly journals The role of thickness inhomogeneities in hierarchical cortical folding

2020 ◽  
Author(s):  
Lucas da Costa Campos ◽  
Raphael Hornung ◽  
Gerhard Gompper ◽  
Jens Elgeti ◽  
Svenja Caspers
Keyword(s):  
Fetal Brain ◽  
Epileptic Seizures ◽  
Quantitative Model ◽  
Higher Order ◽  
Mammalian Brain ◽  
Cortical Folding ◽  
Differential Growth ◽  
The Brain ◽  
Short Life Expectancy

AbstractThe morphology of the mammalian brain cortex is highly folded. For long it has been known that specific patterns of folding are necessary for an optimally functioning brain. On the extremes, lissencephaly, a lack of folds in humans, and polymicrogyria, an overly folded brain, can lead to severe mental retardation, short life expectancy, epileptic seizures, and tetraplegia. The construction of a quantitative model on how and why these folds appear during the development of the brain is the first step in understanding the cause of these conditions. In recent years, there have been various attempts to understand and model the mechanisms of brain folding. Previous works have shown that mechanical instabilities play a crucial role in the formation of brain folds, and that the geometry of the fetal brain is one of the main factors in dictating the folding characteristics. However, modeling higher-order folding, one of the main characteristics of the highly gyrencephalic brain, has not been fully tackled. The effects of thickness inhomogeneity in the gyrogenesis of the mammalian brain are studied in silico. Finite-element simulations of rectangular slabs are performed. The slabs are divided into two distinct regions, where the outer layer mimics the gray matter, and the inner layer the underlying white matter. Differential growth is introduced by growing the top layer tangentially, while keeping the underlying layer untouched. The brain tissue is modeled as a neo-Hookean hyperelastic material. Simulations are performed with both, homogeneous and inhomogeneous cortical thickness. The homogeneous cortex is shown to fold into a single wavelength, as is common for bilayered materials, while the inhomogeneous cortex folds into more complex conformations. In the early stages of development of the inhomogeneous cortex, structures reminiscent of the deep sulci in the brain are obtained. As the cortex continues to develop, secondary undulations, which are shallower and more variable than the structures obtained in earlier gyrification stage emerge, reproducing well-known characteristics of higher-order folding in the mammalian, and particularly the human, brain.

scholarly journals Intravascular lymphomatosis of central nervious system - case report

2003 ◽  
Vol 131 (7-8) ◽  
pp. 325-328 ◽  
Author(s):  
Jasmina Jovic ◽  
Marko Ercegovac ◽  
Branko Dozic ◽  
Dubravka Cvetkovic ◽  
Miroslava Zivkovic ◽  
...  
Keyword(s):  
Clinical Course ◽  
Vascular Occlusion ◽  
Epileptic Seizures ◽  
Signs And Symptoms ◽  
Lymphoid Cells ◽  
Cognitive Changes ◽  
Small Vessels ◽  
Intravascular Lymphomatosis ◽  
Systemic Manifestations ◽  
The Brain

Intravascular lymphomatosis is an uncommon lymphoproliferative disorder characterised by intravascular distribution of neoplastic lymphoid cells (B- or T- lymphocites), what leads to occlusion of small vessels and causes signs and simptoms of disorder. Its initial predilection sites are the brain or the skin, and hematopoetic organs are usually spared. The signs and symptoms of the disorder are attributed to vascular occlusion. Clinical course is fatal, besides therapy. In our case disorder has started with partial epileptic seizures with secondary generalisation, and after that with motor aphasia, right hemi paresis, urinary incontinence and cognitive changes. She was hospitalized for several times, completely investigated, but with no conclusion. Seven months after appearance of symptoms, she died. And diagnosis was determined at autopsy. A myriad of neurological and systemic manifestations are putting us in an unequal position with this fatal disease. Early diagnosis can increase survival and decrease intensity of symptoms. So every new case is important as warning that we must not forget about this disease.

scholarly journals Hyperspherical Manifold for EEG Signals of Epileptic Seizures

2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Tahir Ahmad ◽  
Vinod Ramachandran
Keyword(s):  
Measure Theory ◽  
Epileptic Seizures ◽  
Physical Symptoms ◽  
Measure Data ◽  
Dimensional Manifold ◽  
Eeg Signals ◽  
Discrete Probability ◽  
Eeg Data ◽  
Manifold Theory ◽  
The Brain

The mathematical modelling of EEG signals of epileptic seizures presents a challenge as seizure data is erratic, often with no visible trend. Limitations in existing models indicate a need for a generalized model that can be used to analyze seizures without the need for apriori information, whilst minimizing the loss of signal data due to smoothing. This paper utilizes measure theory to design a discrete probability measure that reformats EEG data without altering its geometric structure. An analysis of EEG data from three patients experiencing epileptic seizures is made using the developed measure, resulting in successful identification of increased potential difference in portions of the brain that correspond to physical symptoms demonstrated by the patients. A mapping then is devised to transport the measure data onto the surface of a high-dimensional manifold, enabling the analysis of seizures using directional statistics and manifold theory. The subset of seizure signals on the manifold is shown to be a topological space, verifying Ahmad's approach to use topological modelling.

ANALYSIS OF PREDICTORS OF EPILEPTIC SEIZURES

2020 ◽  
Vol 3 ◽  
pp. 112-121
Author(s):  
A.V. ZHIDKOV ◽  
A.A. MAKAROV ◽  
K.V. PODMASTERYEV ◽  
M.P. ZHILTSOV ◽  
D.E. CHEKMAREVA
Keyword(s):  
Blood Flow ◽  
Carotid Artery ◽  
Common Carotid Artery ◽  
Statistical Data ◽  
Epileptic Seizures ◽  
Flow Dynamics ◽  
Velocity Change ◽  
Blood Flow Dynamics ◽  
The Common ◽  
The Brain

The statistical data on epilepsy, etiology and pathogenesis of the disease are given in the article. The main causes that affect the occurrence of epileptic seizures, and possible predictors that are sensitive to these causes (metabolic rate, blood flow velocity, change in electrical activity of the brain) are highlighted. The blood flow dynamics in the common carotid artery, which supplies the brain with oxygen and nutrients is proposed to be considered as one of the possible internal physiological parameters that are believed to be predictors of epileptic seizures.

Epilepsy in later childhood and adulthood

2010 ◽  
pp. 4810-4826
Author(s):  
G.D. Perkin ◽  
M.R. Johnson
Keyword(s):  
Brain Imaging ◽  
Neuronal Activity ◽  
Case History ◽  
Epileptic Seizure ◽  
Neurological Disease ◽  
Epileptic Seizures ◽  
Social Consequences ◽  
Definition Of ◽  
The Brain ◽  
Structural Brain

Case History—A 33 yr old woman, known to have epilepsy, now presenting with odd behaviour. An epileptic seizure is a transient occurrence of signs and/or symptoms due to abnormal excessive or synchronous neuronal activity in the brain. Epilepsy is defined as a disorder of the brain characterized by an enduring predisposition to generate epileptic seizures and by the neurobiological, cognitive, psychological, and social consequences of this condition. The definition of epilepsy requires the occurrence of at least one epileptic seizure and evidence for an enduring alteration in the brain that increases the likelihood of future seizures such as an ‘epileptiform’ EEG abnormality, an appropriate lesion on structural brain imaging (CT or MRI), or the presence of recurrent (two or more) seizures. Epilepsy is a common, serious neurological disease, with prevalence 1% and a cumulative lifetime risk of 5%....

Classification of seizures and epilepsy

2019 ◽  
pp. 935-944
Author(s):  
Andrew McEvoy ◽  
Tim Wehner ◽  
Victoria Wykes
Keyword(s):  
Focal Epilepsy ◽  
Focal Cortical Dysplasia ◽  
Hippocampal Sclerosis ◽  
Epileptic Seizures ◽  
Recurrence Risk ◽  
Medical Emergency ◽  
Unprovoked Seizure ◽  
Generalized Seizures ◽  
The Brain

Epileptic seizures are transient neurologic alterations due to abnormal excessive or synchronous neuronal cerebral activity. They may cause subjective symptoms (aura), and objective autonomic, behavioural, or cognitive alterations in any combination. Focal seizures are initially generated in one circumscribed area in the brain, whereas generalized seizures involve bihemispheric neuronal networks from the seizure onset. Epilepsy is a brain disease defined by the occurrence of two unprovoked seizures more than 24 h apart or one unprovoked seizure with underlying pathological or genetic factors resulting in a similar recurrence risk. Focal epilepsy syndromes are best classified by aetiology or anatomical area of origin. A seizure that does not self-terminate results in status epilepticus, and constitutes a medical emergency that requires immediate treatment. Focal cortical dysplasia and hippocampal sclerosis are the commonest aetiologies of epilepsy amenable to surgical treatment and are reviewed here. The limbic pathway may be involved in seizure propagation, and the anatomy is described.

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