Springer, 2019. — 545 p. — (Springer Series in Cognitive and Neural Systems 13) — ISBN: 978-3-030-18830-6
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.
Movement DisordersA Neuro-computational Model of Pallidal vs. Subthalamic Deep Brain Stimulation Effect on Synchronization at Tremor Frequency in Parkinson’s Disease
Dynamics of Basal Ganglia and Thalamus in Parkinsonian Tremor
A Neural Mass Model for Abnormal Beta-Rebound in Schizophrenia
Basal Ganglio-thalamo-cortico-spino-muscular Model of Parkinson’s Disease Bradykinesia
Network Models of the Basal Ganglia in Parkinson’s Disease: Advances in Deep Brain Stimulation Through Model-Based Optimization
Neural Synchronization in Parkinson’s Disease on Different Time Scales
Obsessive-Compulsive Tendencies and Action Sequence Complexity: An Information Theory Analysis
Cognitive DisordersCortical Disinhibition, Attractor Dynamics, and Belief Updating in Schizophrenia
Modeling Cognitive Processing of Healthy Controls and Obsessive-Compulsive Disorder Subjects in the Antisaccade Task
Simulating Cognitive Deficits in Parkinson’s Disease
Attentional Deficits in Alzheimer’s Disease: Investigating the Role of Acetylcholine with Computational Modelling
A Computational Hypothesis on How Serotonin Regulates Catecholamines in the Pathogenesis of Depressive Apathy
Autism Spectrum Disorder and Deep Attractors in Neurodynamics
Memory DisordersAlzheimer’s Disease: Rhythms, Local Circuits, and Model-Experiment Interactions
Using a Neurocomputational Autobiographical Memory Model to Study Memory Loss
Other DisordersHow Can Computer Modelling Help in Understanding the Dynamics of Absence Epilepsy?
Data-Driven Modeling of Normal and Pathological Oscillations in the Hippocampus
Shaping Brain Rhythms: Dynamic and Control-Theoretic Perspectives on Periodic Brain Stimulation for Treatment of Neurological Disorders
Brain Connectivity Reduction Reflects Disturbed Self-Organisation of the Brain: Neural Disorders and General Anaesthesia