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Over the last decade, the study of complex networks has expanded across diverse scientific fields. Increasingly, science is concerned with the structure, behavior, and evolution of complex systems ranging from cells to ecosystems. In Networks of the Brain, Olaf Sporns describes how the integrative nature of brain function can be illuminated from a complex network perspective. Highlighting the many emerging points of contact between neuroscience and network science, the book serves to introduce network theory to neuroscientists and neuroscience to those working on theoretical network models. Sporns emphasizes how networks connect levels of organization in the brain and how they link structure to function, offering an informal and nonmathematical treatment of the subject. Networks of the Brain provides a synthesis of the sciences of complex networks and the brain that will be an essential foundation for future research.
Crucial to understanding how the brain works is connectivity, and the centerpiece ofbrain connectivity is the connectome, a comprehensive description of how neuronsand brain regions are connected. The human brain is a network of extraordinary complexity -- anetwork not by way of metaphor, but in a precise and mathematical sense: an intricate web ofbillions of neurons connected by trillions of synapses. How this network is connected is importantfor virtually all facets of the brain's integrative function. In this book, Olaf Sporns surveyscurrent efforts to chart these connections -- to map the human connectome. Sporns, a pioneer in thefield who was the first to define and use the term "connectome," argues that the nascent field ofconnectomics has already begun to influence the way many neuroscientists collect, analyze, and thinkabout their data. Moreover, the idea of mapping the connections of the human brain in their entiretyhas captured the imaginations of researchers across several disciplines including human cognition,brain and mental disorders, and complex systems and networks. Sporns describes the biological andconceptual foundations of the connectome; the many research challenges it faces; the manycutting-edge empirical strategies, from electron microscopy to magnetic resonance imaging, deployedto map brain connectivity; the relationship between structure and function; and the wide array ofnetwork computational approaches to connectomics. Discovering the HumanConnectome offers the first comprehensive overview of current empirical and computationalapproaches in this rapidly developing field.
Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics, edited by two leaders in the field, offers a current and complete review of what we know about neural networks. How the brain accomplishes many of its more complex tasks can only be understood via study of neuronal network control and network interactions. Large networks can undergo major functional changes, resulting in substantially different brain function and affecting everything from learning to the potential for epilepsy. With chapters authored by experts in each topic, this book advances the understanding of: How the brain carries out important tasks via networks How these networks interact in normal brain function Major mechanisms that control network function The interaction of the normal networks to produce more complex behaviors How brain disorders can result from abnormal interactions How therapy of disorders can be advanced through this network approach This book will benefit neuroscience researchers and graduate students with an interest in networks, as well as clinicians in neuroscience, pharmacology, and psychiatry dealing with neurobiological disorders. Utilizes perspectives and tools from various neuroscience subdisciplines (cellular, systems, physiologic), making the volume broadly relevant Chapters explore normal network function and control mechanisms, with an eye to improving therapies for brain disorders Reflects predominant disciplinary shift from an anatomical to a functional perspective of the brain Edited work with chapters authored by leaders in the field around the globe – the broadest, most expert coverage available
Recounts the early days of split-brain research and updates it with new information on the separate modules within the brain that transform random stimuli into a distinct sense of consciousness
Throughout the history of neuroscience, technological advances are the drivers behind many major advances in our understanding of the nervous system. Investigations of the structure and function of the brain take place on multiple scales, including macroscale at the level of brain regions, mesoscale at the level of neuronal populations, and microscale at the level of single neurons and neuron to neuron interactions. Integration of knowledge over these scales requires novel techniques and interpretations. In this research topic, we highlight nine articles that integrate structural and functional approaches to study brain networks.
This book covers technical fundamentals, complexity and social networks, and communication and language. It raises readers’ interest in social networks, the importance of language in the emergence and maintenance of networks, the integral patterns of interconnectivity, and the means to measure and model social structure. It presents a broad range of ideas from several fields of research endeavor. It also explores social networks and their integration with communication and language, thereby providing a discussion of relevant theory, modeling, metrics, and application to business, natural resource management, and technology.
An important aspect of neuroscience is to characterize the underlying connectivity patterns of the human brain (i.e., human connectomics). Over the past few years, researchers have demonstrated that by combining a variety of different neuroimaging technologies (e.g., structural MRI, diffusion MRI and functional MRI) with sophisticated analytic strategies such as graph theory, it is possible to noninvasively map the patterns of structural and functional connectivity of human whole-brain networks. With these novel approaches, many studies have shown that human brain networks have nonrandom properties such as modularity, small-worldness and highly connected hubs. Importantly, these quantifiable network properties change with age, learning and disease. Moreover, there is growing evidence for behavioral and genetic correlates. Network analysis of neuroimaging data is opening up a new avenue of research into the understanding of the organizational principles of the brain that will be of interest for all basic scientists and clinical researchers. Such approaches are powerful but there are a number of challenging issues when extracting reliable brain networks from various imaging modalities and analyzing the topological properties, e.g., definitions of network nodes and edges and reproducibility of network analysis. We assembled contributions related to the state-of-the-art methodologies of brain connectivity and the applications involving development, aging and neuropsychiatric disorders such as Alzheimer’s disease, schizophrenia, attention deficit hyperactivity disorder and mood and anxiety disorders. It is anticipated that the articles in this Research Topic will provide a greater range and depth of provision for the field of imaging connectomics.

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