Multiscale Models of Brain Disorders

Multiscale Models of Brain Disorders PDF

Author: Vassilis Cutsuridis

Publisher: Springer Nature

Published: 2019-10-11

Total Pages: 222

ISBN-13: 3030188302

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This book focuses on our current understanding of brain dynamics in various brain disorders (e.g. epilepsy, Alzheimer’s and Parkinson’s disease) and how the multi-scale, multi-level tools of computational neuroscience can enhance this understanding. In recent years, there have been significant advances in the study of the dynamics of the disordered brain at both the microscopic and the macroscopic levels. This understanding can be furthered by the application of multi-scale computational models as integrative principles that may link single neuron dynamics and the dynamics of local and distant brain regions observed using human EEG, ERPs, MEG, LFPs and fMRI. Focusing on the computational models that are used to study movement, memory and cognitive disorders as well as epilepsy and consciousness related diseases, the book brings together physiologists and anatomists investigating cortical circuits; cognitive neuroscientists studying brain dynamics and behavior by means of EEG and functional magnetic resonance imaging (fMRI); and computational neuroscientists using neural modeling techniques to explore local and large-scale disordered brain dynamics. Covering topics that have a significant impact on the field of medicine, neuroscience and computer science, the book appeals to a diverse group of investigators.

Network Spread Models of Neurodegenerative Diseases

Network Spread Models of Neurodegenerative Diseases PDF

Author: Ashish Raj

Publisher: Frontiers Media SA

Published: 2019-04-18

Total Pages: 116

ISBN-13: 2889457680

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It is a real pleasure to introduce the excellent papers contributed by leading experts to our Research Topic proposing various network models of dementia spread. The focus is strongly on disease-specific mathematical modeling rather than general graph theory. The emerging field of network neuroscience visualizes the brain as a graph consisting of nodes representing regions and edges as connections between them. This complex network supports efficient communication along neural projections, but also, unfortunately, the transmission and progression of Alzheimer’s and other neurodegenerative disorders. If we could know the brain’s network organization, could we then predict how degenerative processes might develop on this network? As these papers demonstrate, the answer is, increasingly, yes.

Multi-Scale Dynamics Modeling of Brain Physiological Functions and Pathological Mechanisms

Multi-Scale Dynamics Modeling of Brain Physiological Functions and Pathological Mechanisms PDF

Author: Ying Wu

Publisher: Frontiers Media SA

Published: 2023-10-09

Total Pages: 120

ISBN-13: 2832535569

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The mechanisms of brain physiological functions and pathological mechanisms are crucial for us to understand how the brain works in the normal function such as memory, information processing and attentional perception, or in pathological conditions such as epilepsy, Parkinson's disease, and Alzheimer's diseases. These brain physiological functions and pathological mechanisms generally involve multiple spatial scales of brains, ranging from micro molecules, cellular channels, and meso-scale neuronal networks to the brain regions. To comprehensively understand the neural mechanisms of brain physiological functions and pathological mechanisms, multiple-scale investigations are essential to carry, involving neuronal circuit modeling, neural field modeling, large-scale modeling, data-driven complex network modeling, etc.

Mathematical and Theoretical Neuroscience

Mathematical and Theoretical Neuroscience PDF

Author: Giovanni Naldi

Publisher: Springer

Published: 2018-03-20

Total Pages: 253

ISBN-13: 3319682970

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This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical and numerical topics; statistical analysis in Neuroscience; Neural Networks; Theoretical Neuroscience. The book is addressed to researchers involved in mathematical models applied to neuroscience.

Tau Biology

Tau Biology PDF

Author: Akihiko Takashima

Publisher: Springer Nature

Published: 2020-02-24

Total Pages: 416

ISBN-13: 9813293586

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This book presents essential studies and cutting-edge research results on tau, which is attracting increasing interest as a target for the treatment of Alzheimer's disease. Tau is well known as a microtubule-associated protein that is predominantly localized in the axons of neurons. In various forms of brain disease, neuronal loss occurs, with deposition of hyperphosphorylated tau in the remaining neurons. Important questions remain regarding the way in which tau forms hyperphosphorylated and fibrillar deposits in neurons, and whether tau aggregation represents the toxic pathway leading to neuronal death. With the help of new technologies, researchers are now solving these long-standing questions. In this book, readers will find the latest expert knowledge on all aspects of tau biology, including the structure and role of the tau molecule, tau localization and function, the pathology, drivers, and markers of tauopathies, tau aggregation, and treatments targeting tau. Tau Biology will be an invaluable source of information and fresh ideas for those involved in the development of more effective therapies and for all who seek a better understanding of the biology of the aging brain.

Data Analysis for Neurodegenerative Disorders

Data Analysis for Neurodegenerative Disorders PDF

Author: Deepika Koundal

Publisher: Springer Nature

Published: 2023-05-31

Total Pages: 267

ISBN-13: 9819921546

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This book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally reduce the number of neuropsychological tests during the classification of these disorders by using feature selection methods based on the diagnostic information of enrolled subjects. The book includes key definitions/models and covers their applications in different types of signal/image processing for neurological disorder data. An extensive discussion on the possibility of enhancing the abilities of AI systems using the different data analysis is included. The book recollects several applicable basic preliminaries of the different AI networks and models, while also highlighting basic processes in image processing for various neurological disorders. It also reports on several applications to image processing and explores numerous topics concerning the role of big data analysis in addressing signal and image processing in various real-world scenarios involving neurological disorders. This cutting-edge book highlights the analysis of medical data, together with novel procedures and challenges for handling neurological signals and images. It will help engineers, researchers and software developers to understand the concepts and different models of AI and data analysis. To help readers gain a comprehensive grasp of the subject, it focuses on three key features: ● Presents outstanding concepts and models for using AI in clinical applications involving neurological disorders, with clear descriptions of image representation, feature extraction and selection. ● Highlights a range of techniques for evaluating the performance of proposed CAD systems for the diagnosis of neurological disorders. ● Examines various signal and image processing methods for efficient decision support systems. Soft computing, machine learning and optimization algorithms are also included to improve the CAD systems used.

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