The second edition of The Neurology of Consciousness is a comprehensive update of this ground-breaking work on human consciousness, the first book in this area to summarize the neuroanatomical and functional underpinnings of consciousness by emphasizing a lesional approach offered by the study of neurological patients. Since the publication of the first edition in 2009, new methodologies have made consciousness much more accessible scientifically, and, in particular, the study of disorders, disruptions, and disturbances of consciousness has added tremendously to our understanding of the biological basis of human consciousness. The publication of a new edition is both critical and timely for continued understanding of the field of consciousness. In this critical and timely update, revised and new contributions by internationally renowned researchersaedited by the leaders in the field of consciousness researchaprovide a unique and comprehensive focus on human consciousness. The new edition of The Neurobiology of Consciousness will continue to be an indispensable resource for researchers and students working on the cognitive neuroscience of consciousness and related disorders, as well as for neuroscientists, psychologists, psychiatrists, and neurologists contemplating consciousness as one of the philosophical, ethical, sociological, political, and religious questions of our time. New chapters on the neuroanatomical basis of consciousness and short-term memory, and expanded coverage of comas and neuroethics, including the ethics of brain death The first comprehensive, authoritative collection to describe disorders of consciousness and how they are used to study and understand the neural correlates of conscious perception in humans. Includes both revised and new chapters from the top international researchers in the field, including Christof Koch, Marcus Raichle, Nicholas Schiff, Joseph Fins, and Michael GazzanigaSpatial smoothing is sometimes, however, not performed if the analysis is used in single subject space (e.g., for multivariate ... learning classifier and can be employed for diagnosis and prognosis in clinical neuroimaging (Haller et al., 2014). ... on the brain template and where the T value in this voxel for a given contrast is represented by use of a color intensity code. ... as well as layer- specific connectivity to explain changes in observed EEG or MEG data features in neuronal terms.
|Title||:||The Neurology of Consciousness|
|Author||:||Steven Laureys, Olivia Gosseries, Giulio Tononi|
|Publisher||:||Academic Press - 2015-08-12|