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Recent technological advances are significantly enhancing ones ability to image the interplay of neuronal activity, metabolism, and the associated vascular response with high spatial and temporal resolution. This Research Topic will cover these recent technological advances as well as the impact they have had on understanding the coupling of neuronal, metabolic, and vascular responses. We invite contributions to highlight new original research and to provide a forum for discussion of hot neurovascular topics. Potential contributions include, but are not limited by the following examples: - Development and application of novel optical technologies for imaging of neuronal, metabolic and vascul...
It is common to study the electric activity of neurons by measuring the electric potential in the extracellular space of the brain. However, interpreting such measurements requires knowledge of the biophysics underlying the electric signals. Written by leading experts in the field, this volume presents the biophysical foundations of the signals as well as results from long-term research into biophysics-based forward-modeling of extracellular brain signals. This includes applications using the open-source simulation tool LFPy, developed and provided by the authors. Starting with the physical theory of electricity in the brain, this book explains how this theory is used to simulate neuronal activity and the resulting extracellular potentials. Example applications of the theory to model representations of real neural systems are included throughout, making this an invaluable resource for students and scientists who wish to understand the brain through analysis of electric brain signals, using biophysics-based modeling.
Understanding how populations of neurons encode information is the challenge faced by researchers in the field of neural coding. Focusing on the many mysteries and marvels of the mind has prompted a prominent team of experts in the field to put their heads together and fire up a book on the subject. Simply titled Principles of Neural Coding, this b
Published with the New York Academy of Sciences A timely, broad-ranging exploration of the neurobiological basis and molecular mechanisms of migraines Migraines impact the lives of a significant portion of the world's population, afflicting sufferers with severe pain, nausea, and often visual impairment. The WHO views migraines as an important public health issue, and ranks them in its top twenty most disabling illnesses. Neurobiological Basis of Migraine reviews the latest advances made in our understanding of the primary basic mechanisms of migraine headache and provides valuable insights into how these findings are being translated into novel treatment and prevention strategies around the...
Functional Magnetic Resonance Imaging (fMRI) has become a standard tool for mapping the working brain's activation patterns, both in health and in disease. It is an interdisciplinary field and crosses the borders of neuroscience, psychology, psychiatry, radiology, mathematics, physics and engineering. Developments in techniques, procedures and our understanding of this field are expanding rapidly. In this second edition of Introduction to Functional Magnetic Resonance Imaging, Richard Buxton – a leading authority on fMRI – provides an invaluable guide to how fMRI works, from introducing the basic ideas and principles to the underlying physics and physiology. He covers the relationship between fMRI and other imaging techniques and includes a guide to the statistical analysis of fMRI data. This book will be useful both to the experienced radiographer, and the clinician or researcher with no previous knowledge of the technology.
The ultimate goal of functional brain imaging is to provide optimal estimates of the neural signals flowing through the long-range and local pathways mediating all behavioral performance and conscious experience. In functional MRI (Magnetic Resonance Imaging), despite its impressive spatial resolution, this goal has been somewhat undermined by the fact that the fMRI response is essentially a blood-oxygenation level dependent (BOLD) signal that only indirectly reflects the nearby neural activity. The vast majority of fMRI studies restrict themselves to describing the details of these BOLD signals and deriving non-quantitative inferences about their implications for the underlying neural activ...