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Fundamentals of Brain Network Analysis
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain...
Neuroimaging in Schizophrenia
This comprehensive book explains the importance of imaging techniques in exploring and understanding the role of brain abnormalities in schizophrenia. The findings obtained using individual imaging modalities and their biological interpretation are reviewed in detail, and updates are provided on methodology, testable hypotheses, limitations, and new directions for research. The coverage also includes important recent applications of neuroimaging to schizophrenia, for example in relation to non-pharmacological interventions, brain development, genetics, and prediction of treatment response and outcome. Written by world renowned experts in the field, the book will be invaluable to all who wish to learn about the newest and most important developments in neuroimaging research in schizophrenia, how these developments relate to the last 30 years of research, and how they can be leveraged to bring us closer to a cure for this devastating disorder. Neuroimaging in Schizophrenia will assist clinicians in navigating what is an extremely complex field and will be a source of insight and stimulation for researchers.
Biological Network Analysis
Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource. Presents recent advances in biological network analysis, combining Graph Theory, Graph Analysis, and various network models Discusses three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN) and Human Brain Connectomes Includes a discussion of various graph theoretic and data analytics approaches
Computational Diffusion MRI
This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2022, which was held 22 September 2022, in conjunction with MICCAI 2022. The 12 full papers included were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: Data processing, Signal representations, Tractography and WM pathways.
Creativity in Large-Scale Contexts
A new model for smarter creativity
Growing Up Wired
In a groundbreaking study, the authors draw from well-known international studies and personal experiences and testimonials by Filipino subjects on why our children have totally different and distinct behaviors and values in response to modern technology.
Habits
This pragmatist interpretation of habits provides a unifying concept for 4E cognitive science, neuroscience, philosophy, and social theory.
Resting state brain activity: Implications for systems neuroscience
Research on resting state brain activity using fMRI offers a novel approach for understanding brain organization at the systems level. Resting state fMRI examines spatial synchronization of intrinsic fluctuations in blood-oxygenation-level-dependent (BOLD) signals arising from neuronal and synaptic activity that is present in the absence of overt cognitive information processing. Since the discovery of coherent spontaneous fluctuations within the somatomotor system (Biswal, et al. 1995), a growing number of studies have shown that many of the brain areas engaged during various cognitive tasks also form coherent large-scale brain networks that can be readily identified using resting state fMR...
The Inter-Processual Self
How should we understand the self, as well as personal, relational and systemic growth? This volume proposes a radical new way of answering this question. It rests on a non-representational theory of knowledge on how to approach and understand the self and action more broadly. Although it has never been lost, the Aristotelian emphasis on excellence in moral character and practical reason as preconditions for achieving happiness has gradually been degraded. This book suggests that this has happened thanks to a split between knowledge and action that can be traced back to the origins of modernity. Modern academic disciplines in general, and psychology in particular, are based on the idealisati...
Psychomotor Symptomatology in Psychiatric Illnesses
Psychomotor symptoms are those symptoms that are characterized by deficits in the initiation, execution and monitoring of movements, such as psychomotor slowing, catatonia, neurological soft signs (NSS), reduction in motor activity or extrapyramidal symptoms (EPS). These symptoms have not always received the attention they deserve although they can be observed in a wide range of psychiatric illnesses, including mood disorders, psychotic disorders, anxiety disorders, pervasive developmental disorders and personality disorders. Nevertheless, these symptoms seem to have prognostic value on clinical and functional outcome in several pathologies. In the late 19th century, the founding fathers of ...
