It has long been known that aspects of behavior run in families; studies show that characteristics related to cognition, temperament, and all major psychiatric disorders are heritable. This volume offers a primer on understanding the genetic mechanisms of such inherited traits. It proposes a set of tools—a conceptual basis—for critically evaluating recent studies and offers a survey of results from the latest research in the emerging fields of cognitive genetics and imaging genetics.
Genetic disorders in children can have highly variable effects. Even relatively common disorders may go undiagnosed and untreated by clinicians who are not familiar with the range of atypical cognitive or behavioral symptoms possible in an affected child. Recent research in genetics and brain development has altered the phenotypic description of various disorders, but this new knowledge is not readily available to practitioners.
The cognitive disorders that follow brain damage are an important source of insights into the neural bases of human thought. This second edition of the widely acclaimed Patient-Based Approaches to Cognitive Neuroscience offers state-of-the-art reviews of the patient-based approach to central issues in cognitive neuroscience by leaders in the field.
Although fatigue has been actively investigated for more than 100 years, we have progressed little in either its theoretical or practical understanding. Fatigue has been considered to be both a symptom and an illness. Fatigue is a primary reason for patient visits to the physician's office, but it is difficult to measure and offers doctors little important information for diagnosis.
Hemispheric specialization is involved in every aspect of sensory, cognitive, and motor systems integration. Study of the corpus callosum, the bands of tissue uniting the brain's two hemispheres, is central to understanding neuroanatomy, neurophysiology, and behavior. It also brings the tools of hemispheric specialization to a fundamental problem of cognitive neuroscience: modularity and intermodular communication.
Despite dramatic advances in neuroimaging techniques, patient-based analyses of brain disorders continue to offer important insights into the functioning of the normal brain. Bridging the gap between the work of neurologists studying clinical disorders and neuroscientists studying the neural mechanisms underlying normal cognition, this book reviews classical neurobehavioral syndromes from both neurological and cognitive scientific perspectives.
This book is for students and researchers who have a specific interest in learning and memory and want to understand how computational models can be integrated into experimental research on the hippocampus and learning. It emphasizes the function of brain structures as they give rise to behavior, rather than the molecular or neuronal details. It also emphasizes the process of modeling, rather than the mathematical details of the models themselves.
This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals.