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Covers all aspects of epilepsy, from basic mechanisms to diagnosis and management, as well as legal and social considerations.
Abstract: Epilepsy is one of the most common neurological disorders, characterized by the occurrence of repeated seizures. Given that epilepsy is considered a network disorder, tools derived from network neuroscience may confer the valuable ability to quantify the properties of epileptic brain networks. In this study, we use well-established brain network metrics (i.e., mean strength, variance of strength, eigenvector centrality, betweenness centrality) to characterize the temporal evolution of epileptic functional networks over several days prior to seizure occurrence. We infer the networks using long-term electroencephalographic recordings from 12 people with epilepsy. We found that brain ...
Through intimate conversations with some of the world's most distinguished scientists (including two Nobel Laureates), Faith in Science invites us to explore the connections between scientific and religious approaches to truth. Subjects range from the existence and nature of God to the role of spirituality in modern science. The result is a clear account of how two major cultural forces can work together to offer unique insights into questions of existence.
Abstract: Background: In recent years, a growing body of literature has highlighted the role of wearable and mobile remote measurement technology (RMT) applied to seizure detection in hospital settings, whereas more limited evidence has been produced in the community setting. In clinical practice, seizure assessment typically relies on self-report, which is known to be highly unreliable. Moreover, most people with epilepsy self-identify factors that lead to increased seizure likelihood, including mood, behavior, sleep pattern, and cognitive alterations, all of which are amenable to measurement via multiparametric RMT. Objective: The primary aim of this multicenter prospective cohort study is...
Focusing from the perspective of the user, Urban Mobility Design investigates how designed mobility and design processes can respond to and drive the emerging social and technological disruptions in the passenger transport sector. Profound technological advances are changing the mobility expectations of city populations around the world. Transportation design is an under represented research area of urban transportation planning. Urban Mobility Design addresses this gap, providing research-based analysis on current and future needs of urban transportation passengers. The book examines mobility from a uniquely multidisciplinary perspective, involving a variety of innovative design and transportation planning approaches. Examines urban mobility from a new perspective Coherently combines current research and practice in transport design, technology, mobility, user behaviour experience, and cultural analysis Utilizes hands-on experiences with transportation manufacturers, transit operators and engineers to bring a practical view on today’s mobility challenges Shows how design approaches to problem solving can influence travel behaviour and improve passenger experience
Pregnancy complicated by neurological disorders is a challenging area for both obstetricians and neurologists. Treatment of the maternal condition often needs to be adjusted because of concerns for the fetus, and some conditions have a major impact on the method, mode, and timing of delivery. Many of the clinical problems that arise in pregnant wom
The congress’s unique structure represents the two dimensions of technology and medicine: 13 themes on science and medical technologies intersect with five challenging main topics of medicine to create a maximum of synergy and integration of aspects on research, development and application. Each of the congress themes was chaired by two leading experts. The themes address specific topics of medicine and technology that provide multiple and excellent opportunities for exchanges.
Epilepsy research promises new treatments and insights into brain function, but statistics and machine learning are paramount for extracting meaning from data and enabling discovery. Statistical Methods in Epilepsy provides a comprehensive introduction to statistical methods used in epilepsy research. Written in a clear, accessible style by leading authorities, this textbook demystifies introductory and advanced statistical methods, providing a practical roadmap that will be invaluable for learners and experts alike. Topics include a primer on version control and coding, pre-processing of imaging and electrophysiological data, hypothesis testing, generalized linear models, survival analysis,...