Neural Signaling

Neural Signaling

Glial ⇔ Neuronal Signaling

Glial Neuronal Signaling fills a need for a monograph/textbook to be used in advanced courses or graduate seminars aimed at exploring glial-neuronal interactions. Even experts in the field will find useful the authoritative summaries of evidence on ion channels and transporters in glia, genes involved in signaling during development, metabolic cross talk and cooperation between astrocytes and neurons, to mention but a few of the timely summaries of a wide range of glial-neuronal interactions. The chapters are written by the top researchers in the field of glial-neuronal signaling, and cover the most current advances in this field. The book will also be of value to the workers in the field of cell biology in general. When we think about the brain we usually think about neurons. Although there are 100 billion neurons in mammalian brain, these cells do not constitute a majority. Quite the contrary, glial cells and other non-neuronal cells are 10-50 times more numerous than neurons. This book is meant to integrate the emerging body of information that has been accumulating, revealing the interactive nature of the brain's two major neural cell types, neurons and glia, in brain function.

Neural Signal Estimation in the Human Brain

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 activity. This Frontiers Research Topic welcomed empirical and theoretical contributions that focus on the explicit relationship of non-invasive brain imaging signals to the causative neural activity. The articles presented within this resulting eBook aim to both highlight the importance and improve the non-invasive estimation of neural signals in the human brain. To achieve this aim, the following issues are targeted: (1) The spatial limitations of source localization when using MEG/EEG. (2) The coupling of the BOLD signal to neural activity. Articles discuss how animal studies are fundamental in increasing our understanding of BOLD fMRI signals, analyze how non-neuronal cell types may contribute to the modulation of cerebral blood flow, and use modeling to improve our understanding of how local field potentials are linked to the BOLD signal. (3) The contribution of excitatory and inhibitory neuronal activity to the BOLD signal. (4) Assessment of neural connectivity through the use of resting state data, computational modeling and functional Diffusion Tensor Imaging (fDTI) approaches.