Brains and Machines: Towards a unified Ethics of AI and Neuroscience provides a comprehensive overview of concepts and ethical issues at the intersection of two emerging technological trends in the 21st century: AI and neurotechnology. In line with recent advances across both fields, debates about philosophical, ethical, regulatory and social issues raised by neuroscience and AI have considerably expanded in the past decade. Yet, despite many intersections and fruitful interactions between the two scientific domains, ethical debates about neuroscience and AI have mostly moved in parallel. This volume assembles voices from various disciplines to provide a more unified view and offer novel perspectives on two complementary lines of discourse. The volume provides scientific background by outlining the state of the art of applying AI in the field of neuroscience and discussing instances where findings and debates from neuroscience provide cues and inspiration to the study of AI. Based on this background, the book then addresses conceptual frameworks, identifies ethical challenges at the intersection of neuroscience and AI, and highlights challenges and opportunities of finding common ground in interdisciplinary settings.
From Brain Dynamics to the Mind: Spatiotemporal Neuroscience explores how the self and consciousness is related to neural events. Sections in the book cover existing models used to describe the mind/brain problem, recent research on brain mechanisms and processes and what they tell us about the self, consciousness and psychiatric disorders. The book presents a spatiotemporal approach to understanding the brain and the implications for artificial intelligence, novel therapies for psychiatric disorders, and for ethical, societal and philosophical issues. Pulling concepts from neuroscience, psychology and philosophy, the book presents a modern and complete look at what we know, what we can surmise, and what we may never know about the distinction between brain and mind.
Using a highly readable, conversational writing style, Practical Approach to Electroencephalography, 2nd Edition, makes a complex and critically important subject easier to understand. It provides just the right amount of guidance you need, explaining EEG waveforms starting with the basics, then bringing you to a sophisticated level in interpreting EEG tracings—explaining what to do, what not to do, what to look for, and what the results mean. Emphasizing pattern recognition and also why the patterns look the way they do, Dr. Libenson’s approachable text focuses on the types of EEG tracings you are likely to encounter in your EEG laboratory, both in the outpatient lab and in the ICU, concentrating at first on the questions and problems encountered by the beginner and non-expert, but bringing you up to the level of an expert.
Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm, Volume One: Radiogenomics Flow Using Artificial Intelligence broadly encompasses the study of life-threatening brain and spinal cord malignancies, including primary lesions and those metastasizing to the central nervous system. Radiomics is an approach to medical imaging used to extract many quantitative imaging features using different data characterization algorithms, while radiogenomics, which has recently emerged as a novel mechanism in neuro-oncology research, focuses on the relationship of imaging phenotype and genetics of cancer. Sections in this book discuss several AI approaches that have been applied to conventional and advanced medical imaging data. These AI-based R-n-R tools have the potential to stratify patients into more precise initial diagnostic and therapeutic pathways and permit better dynamic treatment monitoring in this period of personalized medicine. While extremely promising, the clinical acceptance of R-n-R methods and approaches will primarily hinge on their resilience to non-standardization across imaging protocols and their capability to show reproducibility.
Paraneoplastic Neurological Disorders, Volume 200 covers new, recent descriptions of autoantibodies against neuronal cell surface antigens (only partly associated with paraneoplastic disorders) and the introduction of new immuno-oncological drugs that can contribute to diseases that are pathogenetically indistinguishable from paraneoplastic syndromes. Besides investigating the pathogenetic mechanisms of these disorders, this book also explores what the introduction of new drugs used in immune checkpoint inhibitor cancer therapy are teaching us in terms of immunopathogenesis. Following sections present individual syndromes (phenotypical clinical manifestations) of the CNS, PNS, NMJ, and muscle.Finally, the book investigates the role of antibody markers that differentiate by cytoplasmic, nuclear, and neuronal cell surface reactivities. Side effects of the new immuno-oncological drugs increasingly used in cancer therapy are also covered.
Neurogenetics for the Practitioner provides clinicians with a navigation tool to help diagnose and treat patients with neurological disorders using neurogenetics. Sections introduce the reader to an overview of genetic principles, including practical applications in relation to diagnosis and current limitations. Additional chapters highlight how to workup patients presenting with certain features, including cerebral palsy/intellectual disability, congenital muscular dystrophy, cognitive decline/dementia, peripheral neuropathy, and paroxysmal disorder. The final section explores therapeutic strategies based on genetic interventions and genetic counselling options. This internationally contributed book will become the essential reference guide for neurologists.
Mechanisms of Disease Pathogenesis in Multiple Sclerosis summarizes our current understanding on MS and its clinical features and monitoring with available biomarkers, focusing on mechanisms that drive disease pathogenesis and their control by genetic, environmental factors and novel therapies for disease management. The book is written for neurologists, neuroimmunologists and clinical, translational and basic researchers interested in mechanisms of neurodegeneration. Multiple Sclerosis (MS) is an autoimmune disease which targets the central nervous system (CNS). It is the most common cause of non-traumatic neurological disability in young adults with a prevalence of 1 in 1000 and increasing, hence the importance of this book.