Computational Neurology and Psychiatry
- illustrated
- Department of Physics Kalamazoo College Kalamazoo, MI USA Springer, 2017 ISBN 2017
- 448 pages
- Volume 6 of Springer Series in Bio-/Neuroinformatics .
Contents:
1 Introduction
Microcircuits Conduction Delay and Childhood Absence Epilepsy
3 Extracellular Potassium and Focal SeizuresInsight from In Silico Study
Data Processing in Epilepsy Research
Modeling of Normal and Pathological Rhythmicity and Synaptic Plasticity Related to Amyloidβ Aβ Effects
6 Dynamic Causal Modelling of Dynamic Dysfunction in NMDAReceptor Antibody Encephalitis
7 Oscillatory Neural Models of the Basal Ganglia for Action Selection in Healthy and Parkinsonian Cases
Mathematical Models of Neuromodulation and Implications for Neurology and Psychiatry
From Observations to Scenarios to Designs
A Holistic Approach to Computational Psychiatry
A Comparison of Mathematical Models of Mood in Bipolar Disorder
12 Computational Neuroscience of Timing Plasticity and Function in Cerebellum Microcircuits
A Computational Model of Neural Synchronization in Striatum
A Neural Mass Computational Framework to Study Synaptic Mechanisms Underlying Alpha and Theta Rhythms
15 The Role of Simulations in Neuropharmacology
This book presents the latest research in computational methods for modeling and simulating brain disorders. In particular, it shows how mathematical models can be used to study the relationship between a given disorder and the specific brain structure associated with that disorder. It also describes the emerging field of computational psychiatry, including the study of pathological behavior due to impaired functional connectivity, pathophysiological activity, and/or aberrant decision-making. Further, it discusses the data analysis techniques that will be required to analyze the increasing amount of data being generated about the brain. Lastly, the book offers some tips on the application of computational models in the field of quantitative systems pharmacology. Mainly written for computational scientists eager to discover new application fields for their model, this book also benefits neurologists and psychiatrists wanting to learn about new methods. Common terms and phrases: action activity adult agents analysis approach associated attachment basal ganglia behaviour brain cause cell changes channels child circuit clinical cognitive complex computational computational models concentration connections considered corresponding cortex delay depends depression described detailed disease disorders dopamine dynamics effects epilepsy equations estimated example excitatory experiences experimental explain extracellular figure firing frequency function given groups human important increase individual infant inhibition inhibitory initial input interactions internal learning mathematical measure mechanisms membrane methods mood nature neural neurons Neurosci normal object observed oscillations parameters pathway patients patterns period population possible potassium potential problem processes projection pyramidal receptor regions relationship release represent response rhythms role secure seizure selection shown signal simulation single space specific spike Strange striatum synaptic synchronization term theory understanding values variable