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Genetics of Epilepsy and Refractory Epilepsy
  • Language: en
  • Pages: 122

Genetics of Epilepsy and Refractory Epilepsy

Epilepsy affects approximately 3% of the population, and is usually defined as a tendency to experience recurrent seizures arising from periodic neuronal hyperexcitability of unknown causes. Different genetic factors, through various mechanisms, can cause this abnormal neuronal behavior. The etiology of epilepsy is a major determinant of clinical course and prognosis. Many of the genes that have been implicated in idiopathic epilepsies code for ion channels, whereas a wide spectrum of syndromes where epilepsy is a main clinical feature are caused by mutated genes that are involved in functions as diverse as cortical development, brain malformations, mitochondrial function, and cell metabolis...

Pharmacoresistance in Epilepsy
  • Language: en
  • Pages: 598

Pharmacoresistance in Epilepsy

This new edition of Pharmacoresistance in Epilepsy addresses all issues relating to drug-resistance in epilepsy, including studies in patients as well in experimental models and presents the basis for an understanding of recent developments in the pathogenesis and treatment of this condition. Important issues associated with drug-resistant epilepsy are reviewed and updated, such as abnormalities in inhibitory mechanisms, neurotoxicity and changes the immune system associated with this disorder, and the development of drug-resistance as consequence of chronic exposure to antiseizure-medications. Considering that a major obstacle is that epilepsy associated with drug-resistance cannot be controlled with the traditional antiseizure medications, specific chapters describe therapeutic strategies to prevent or reduce the progression of the disease with complementary medical therapies, such as transcranial focal stimulation to promote neuroprotection. Pharmacoresistance in Epilepsy is a valuable resource for anyone working in the field, whether studying epilepsy in the lab or treating it in an office.

Frontiers in Clinical Drug Research - Hematology: Volume 5
  • Language: en
  • Pages: 248

Frontiers in Clinical Drug Research - Hematology: Volume 5

Frontiers in Clinical Drug Research – Hematology is a book series that brings updated reviews to readers interested in learning about advances in the development of pharmaceutical agents for the treatment of hematological disorders. The scope of the book series covers a range of topics including the medicinal chemistry, pharmacology, molecular biology and biochemistry of natural and synthetic drugs employed in the treatment of anemias, coagulopathies, vascular diseases and hematological malignancies. Reviews in this series also include research on specific antibody targets, therapeutic methods, genetic hemoglobinopathies and pre-clinical / clinical findings on novel pharmaceutical agents. ...

Pharmacoresistance in Epilepsy
  • Language: en
  • Pages: 333

Pharmacoresistance in Epilepsy

Although more than 10 new antiepileptic drugs have been developed in the past decade, epilepsy remains resistant to drug therapy in about one third of patients, many of whom struggle with the disease their entire lives. Managing these patients is a challenge and requires a structured multidisciplinary approach. The book includes chapters on all issues related to pharmacoresistance in epilepsy and describes recent developments in the pathogenesis and treatment of this disorder. It addresses abnormalities in inhibitory mechanisms, epilepsy-related changes to the immune system, development of pharmacoresistance caused by chronic exposure to antiepileptic drugs, and novel therapeutic strategies ...

Artificial intelligence in predicting, determining and controlling cell phenotype or tissue function in inflammatory diseases
  • Language: en
  • Pages: 275

Artificial intelligence in predicting, determining and controlling cell phenotype or tissue function in inflammatory diseases

The last decade has seen rapid development in the use of computational techniques at bulk tissue and single-cell level. However, our knowledge remains limited in this regard, and further progress is needed, especially in inflammatory and degenerative diseases. Controlling, modeling, or predicting cellular phenotype in this context using artificial intelligence (AI) will greatly improve the available in vitro, in situ, in vivo, and in silico methods, but also aid in the understanding of disease pathology and therapeutic efficiency. These methods not only have ramifications for our pathophysiological understanding of tissue function but are also important for advancing AI methods in cell culture, tissue explants, or in vivo for immunologically relevant characteristics of single cells, cell populations, and tissues to predict cell or tissue function.

Action and Mechanism of Herbal Glycans
  • Language: en
  • Pages: 139

Action and Mechanism of Herbal Glycans

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Epilepsy Mortality: Leading Causes of Death, Co-morbidities, Cardiovascular Risk and Prevention
  • Language: en
  • Pages: 86

Epilepsy Mortality: Leading Causes of Death, Co-morbidities, Cardiovascular Risk and Prevention

We would like to acknowledge that Dr. Luke Allen , University College London, has acted as a coordinator and has contributed to the preparation of the proposal for this Research Topic.

Novel Mechanisms of Epileptogenesis and Its Inspired Pharmaceutical Treatments for Epilepsy
  • Language: en
  • Pages: 121
Neurodegeneration: From Genetics to Molecules
  • Language: en
  • Pages: 266

Neurodegeneration: From Genetics to Molecules

Chronic degenerative diseases are one of the major public health problems, particularly those affecting the nervous system. They are characterized by the degeneration of specific cell populations that include several pathologies which contribute significantly to morbidity and mortality in the elderly population. Therefore, in recent years, the study of neuroscience has gained significant importance. Most of these neurodegenerative disorders are the result of a complex interaction between genetic and environmental factors that generate progression and can even determine its severity. The presence of mutations in genes as LRRK2, SNCA, PARK7, PARK2 or PINK1 is associated with Parkinson's diseas...