Multiscale models of brain disorders / Vassilis Cutsuridis, editor.
Cutsuridis, Vassilis, editor.
2019
RC386.2
Available Online

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Title Multiscale models of brain disorders / Vassilis Cutsuridis, editor.
ISBN 9783030188306 (electronic book)
3030188302 (electronic book)
9783030188290
DOI https://doi.org/10.1007/978-3-030-18830-6
https://doi.org/10.1007/978-3-030-18
Published Cham, Switzerland : Springer, 2019.
Language English
Description 1 online resource (xiv, 222 pages) : illustrations.
Item Number 10.1007/978-3-030-18830-6 doi
10.1007/978-3-030-18
Call Number RC386.2
Dewey Decimal Classification 616.8001/5118
Summary Significant progress has been made in recent years in studying the dynamics of the diseased brain at both microscopic and macroscopic levels. Electrical recordings of the diseased brain activity show (in)-coherent dynamic phenomena at scales ranging from local networks (thousands of neurons) to entire brain regions (millions of neurons). Our understanding of these spatial and temporal scales and resolutions continues to increase as evidence suggests close relationships between local field potentials recorded in the cortex (with electroencephalography or multi-unit recordings) and blood flow signals (measured with fMRI). Application of multi-scale computational models as integrative principles that bridge the single neuron dynamics (monitored with intracellular recordings) with the dynamics of local and distant brain regions observed using human EEG, ERPs, MEG, LFPs and fMRI can further enhance our understanding of the diseased brain dynamics. The goal of this book is to provide a focused series of papers on computational models of brain disorders combining multiple levels and types of computation with multiple types of data in an effort to improve understanding, prediction and treatment of brain and mental illness. The volume aims to bring together physiologists and anatomists studying cortical circuits, cognitive neuroscientists studying brain dynamics and behaviour via EEG and functional magnetic resonance imaging (fMRI), and computational neuroscientists using neural modelling techniques to explore local and large-scale disordered brain dynamics. The thematic focus is expected to be appealing to a diverse group of investigators and have a high impact on the medical, neuroscience and computer science fields.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 16, 2019).
Added Author Cutsuridis, Vassilis, editor.
Series Springer series in cognitive and neural systems ; v.13.
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Part I Movement Disorders
A neuro-computational model of Pallidal vs. Subthalamic Deep Brain Stimulation Effect on synchronization at Tremor frequency in Parkinsons disease, Alekhya Mandali, Srinivasa Chakravarthy V, Ahmed A. Moustafa
Dynamics of Basal Ganglia and Thalamus in Parkinsonian Tremor, Jan Moren, Jun Igarashi, Osamu Shouno, Junichiro Yoshimoto, and Kenji Doya
A neural mass model for abnormal beta-rebound in schizophrenia, Aine Byrne, Stephen Coombes, and Peter F Liddle
Basal ganglio-thalamo-cortico-spino-muscular model of Parkinsons disease bradykinesia, Vassilis Cutsuridis
Network Models of the Basal Ganglia in Parkinsons Disease: Advances in Deep Brain Stimulation through Model-Based Optimization, Karthik Kumaravelu1, Warren M. Grill
Neural synchronization in Parkinsons disease on different time-scales, Sungwoo Ahn, Choongseok Park, Leonid L. Rubchinsky
Obsessive compulsive tendencies and action sequence complexity: An Information Theory Analysis, Mustafa Zeki, Fuat Balcı, Tutku Öztel, Ahmed A. Moustafa
Part II Cognitive Disorders
Cortical disinhibition, attractor dynamics and belief updating in schizophrenia, Rick A Adams
Modelling cognitive processing of healthy controls and obsessive compulsive disorder subjects in the antisaccade task, Vassilis Cutsuridis
Simulating cognitive deficits in Parkinsons disease, Sébastien Hélie and Zahra Sajedinia
Attentional deficits in Alzheimers disease: investigating the role of acetylcholine with computational modelling, Eirini Mavritsaki, Howard Bowman, Li Su
A computational hypothesis on how serotonin regulates catecholamines in the pathogenesis of depressive apathy, Massimo Silvetti, Gianluca Baldassarre, Daniele Caligiore
Autism Spectrum Disorder and deep attractors in neurodynamics, Włodzisław Duch
Part III Memory Disorders
Alzheimers disease: rhythms, local circuits and model-experiment interaction, Frances K Skinner, Alexandra Chatzika lymniou
Using A Neurocomputational Autobiographical Memory Model to Study Memory Loss, Di Wang, Ahmed A. Moustafa, Ah-Hwee Tan, Chunyan Miao
Part IV Epilepsy and Consciousness Related Disorders
How can computer modeling help understanding the dynamics of absence epilepsy?, Piotr Suffczynski, Stiliyan Kalitzin, Fernando H. Lopes da Silva
a-driven modeling of normal and pathological oscillations in the hippocampus, Ivan Raikov, Ivan Soltesz
Shaping brain rhythms: dynamic and control-theoretic perspectives on periodic brain stimulation for treatment of neurological disorders, John D. Griffiths, Jérémie Lefebvre
Brain connectivity reduction reflects disturbed self-organisation of the brain: Neural disorders and General Anesthesia
Axel Hutt. Index.

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