A comprehensive, multidisciplinary review, Neural Plasticity and Memory: From Genes to Brain Imaging provides an in-depth, up-to-date analysis of the study of the neurobiology of memory. Leading specialists share their scientific experience in the field, covering a wide range of topics where molecular, genetic, behavioral, and brain imaging techniq
Identification of Neural Markers Accompanying Memory is a fresh and novel volume of memory study, providing up-to-date and comprehensive information for both students and researchers focused on the identification of neural markers accompanying memory. Contributions by experts in specific areas of memory study provide background on and definitions of memory, memory alterations, and the brain areas involved in memory and its related processes, such as consolidation, retrieval, forgetting, amnesia, and antiamnesiac effects. With coverage of the principal neurotransmitters related to memory, brain disorders presenting memory alterations, and available treatments—and with discussion of neural markers as new targets for the treatment of memory alterations—Identification of Neural Markers Accompanying Memory is a necessary and timely work for researchers in this growing field. - Discusses the alterations of memory in diverse diseases - Includes coverage from a basic introduction of memory investigation - Reviews brain areas and neurotransmitters involved in memory - Discusses behavioral models of memory - Contains novel insights into the complexity of signaling and memory - Includes the neuropharmacological and neurobiological bases of memory
Glutamate is the most pervasive neurotransmitter in the central nervous system (CNS). Despite this fact, no validated biological markers, or biomarkers, currently exist for measuring glutamate pathology in CNS disorders or injuries. Glutamate dysfunction has been associated with an extensive range of nervous system diseases and disorders. Problems with how the neurotransmitter glutamate functions in the brain have been linked to a wide variety of disorders, including schizophrenia, Alzheimer's, substance abuse, and traumatic brain injury. These conditions are widespread, affecting a large portion of the United States population, and remain difficult to treat. Efforts to understand, treat, and prevent glutamate-related disorders can be aided by the identification of valid biomarkers. The Institute of Medicine's Forum on Neuroscience and Nervous System Disorders held a workshop on June 21-22, 2010, to explore ways to accelerate the development, validation, and implementation of such biomarkers. Glutamate-Related Biomarkers in Drug Development for Disorders of the Nervous System: Workshop Summary investigates promising current and emerging technologies, and outlines strategies to procure resources and tools to advance drug development for associated nervous system disorders. Moreover, this report highlights presentations by expert panelists, and the open panel discussions that occurred during the workshop.
The brain is the most complex organ in our body. Indeed, it is perhaps the most complex structure we have ever encountered in nature. Both structurally and functionally, there are many peculiarities that differentiate the brain from all other organs. The brain is our connection to the world around us and by governing nervous system and higher function, any disturbance induces severe neurological and psychiatric disorders that can have a devastating effect on quality of life. Our understanding of the physiology and biochemistry of the brain has improved dramatically in the last two decades. In particular, the critical role of cations, including magnesium, has become evident, even if incompletely understood at a mechanistic level. The exact role and regulation of magnesium, in particular, remains elusive, largely because intracellular levels are so difficult to routinely quantify. Nonetheless, the importance of magnesium to normal central nervous system activity is self-evident given the complicated homeostatic mechanisms that maintain the concentration of this cation within strict limits essential for normal physiology and metabolism. There is also considerable accumulating evidence to suggest alterations to some brain functions in both normal and pathological conditions may be linked to alterations in local magnesium concentration. This book, containing chapters written by some of the foremost experts in the field of magnesium research, brings together the latest in experimental and clinical magnesium research as it relates to the central nervous system. It offers a complete and updated view of magnesiums involvement in central nervous system function and in so doing, brings together two main pillars of contemporary neuroscience research, namely providing an explanation for the molecular mechanisms involved in brain function, and emphasizing the connections between the molecular changes and behavior. It is the untiring efforts of those magnesium researchers who have dedicated their lives to unraveling the mysteries of magnesiums role in biological systems that has inspired the collation of this volume of work.
Long-term potentiation (LTP) is by far the most dominant model for neuronal changes that might encode memory. LTP is an elegant concept that meets many criteria set up by theoreticians long before the model's discovery, and it also fits anatomical data of learning-dependent synapse changes. Since the discovery of LTP, the question has remained about how closely LTP produced in vitro by artificial stimulation of neurons actually models putative learning-induced synaptic changes. A number of recent investigations have tried to correlate synaptic changes observed after learning with changes produced by artificial stimulation of neurons. These studies have failed to find a correlation between the two forms of synaptic plasticity. In this book, an international group of neurobiologists and psychologists discuss their latest ideas and data. The results of experiments using electrophysiological techniques in vitro are discussed and compared with the results of in vivo experiments. Learning experiments are also discussed. Theoretical models such as the Hebb theory of synaptic changes during learning are compared to different models that do not predict upregulation of synaptic transmission. A wide approach is taken, and research and models in different brain areas such as the neocortex and the basal brain are discussed.
This is the second time that I have had the honor of opening an interna tional symposium dedicated to the functions of the hippocampus here in Pecs. It was a pleasure to greet the participants in the hope that their valuable contributions will make this meeting a tradition in this town. As one of the hosts of the symposium, I had the sorrowful duty to remind you of the absence of a dear colleague, Professor Graham God dard. His tragic and untimely death represents the irreparable loss of both a friend and an excellent researcher. This symposium is dedicated to his memory. If I compare the topics of the lectures of this symposium with those of the previous one, a striking difference becomes apparent. A dominating tendency of the previous symposium was to attempt to define hippocam pal function or to offer data relevant to supporting or rejecting existing theoretical positions. No such tendency is reflected in the titles of the present symposium, in which most of the contributions deal with hip pocampal phenomena at the most elementary level. Electrical, biochemi cal, biophysical, and pharmacological events at the synaptic, membrane, or intracellular level are analyzed without raising the question of what kind of integral functions these elementary phenomena are a part of.
Traumatic brain injury (TBI) remains a significant source of death and permanent disability, contributing to nearly one-third of all injury related deaths in the United States and exacting a profound personal and economic toll. Despite the increased resources that have recently been brought to bear to improve our understanding of TBI, the developme
The basis of learning appears to be a network of interconnected adaptive elements (such as those found in the brain) by means of which transforms between inputs and outputs are performed. By adaptive I mean that the element can change in some systematic manner and in so doing alter the transform between input and output. In living systems, transmission within the neural network involves cpded nerve impulses and other physical chemical processes that form reflections of sensory stimuli and incipient motor behavior. The properties of the transmission network become significant determinants of behavior and depend on the mechanisms of neuronal adaptation, the means by which the connectivities between different neurons are modified. Particular paths through the network become labeled with reference to specific inputs and outputs. The network then operates through labeled interconnections linking specific elements within the network and through the mechanisms that underlie each element's adaptation. The adap tive features are crucial to learning and imply some associated, underlying mnemonic process. The labeling is of consequence with regard to the resulting specificities of stimulus reception and motor performance that characterize adaptive behavior. Memory involves time-dependent information processing relying on en coding and retrieval as well as storage itself. In the brain, engrams can be defined as those elemental adaptive changes that take place when learning and memory storage occur. Persistent engrammatic modifications of neuronal structure commonly arise through the same associative mechanisms responsi ble for learned behavior [397, 486, 759, 1020].
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. The book is divided into two parts. The first part provides a tutorial introduction to topics in neuroscience, the psychology of learning and memory, and the theory of neural network models. The second part, the core of the book, reviews computational models of how the hippocampus cooperates with other brain structures -- including the entorhinal cortex, basal forebrain, cerebellum, and primary sensory and motor cortices -- to support learning and memory in both animals and humans. The book assumes no prior knowledge of computational modeling or mathematics. For those who wish to delve more deeply into the formal details of the models, there are optional "mathboxes" and appendices. The book also includes extensive references and suggestions for further readings.
