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  • Living reference work
  • © 2020

Handbook of Computational Neurodegeneration

  • Provides a comprehensive orientation work in this new research area.

  • Combines in a single source the combination of neurodegeneration research and computational approaches.

  • Contributions written by renowned experts.

This is a preview of subscription content, access via your institution.

Table of contents (38 entries)

  1. AD Blank Spot Model for Evaluation of Alzheimer’s Disease

    • Antigoni Avramouli, Panagiotis M. Vlamos
  2. Affective Computing for Brain Health Disorders

    • Erin Smith, Eric A. Storch, Helen Lavretsky, Jeffrey L. Cummings, Harris A. Eyre
  3. Applications of Nanotechnology in Alzheimer’s Disease

    • Maria Chountoulesi, Nikolaos Naziris, Anna Gioran, Aristeidis Papagiannopoulos, Barry R. Steele, Maria Micha-Screttas et al.
  4. Computational Modeling of Neural Networks of the Human Brain

    • Ludmila Kucikova, Samuel O. Danso, Graciela Muniz-Terrera, Craig W. Ritchie
  5. Computational Models in the Prediction of Alzheimer’s Disease and Dementia

    • Isabella Papageorgiou, Michail Kavvadias, Themis Exarchos
  6. Cybersecurity Threats in the Healthcare Domain and Technical Solutions

    • Christoforos Ntantogian, Christos Laoudias, Antonio Jesus Diaz Honrubia, Eleni Veroni, Christos Xenakis
  7. E-Health and Neurodegeneration

    • George Intas, Charalampos Platis, Pantelis Stergiannis
  8. Exhaled Breath Analysis in Neurodegenerative Diseases

    • Stephanos Patsiris, Anna Karpouza, Themis Exarchos, Panagiotis Vlamos

About this book

The Handbook of Computational Neurodegeneration provides a comprehensive overview of the field and thus bridges the gap between standard textbooks of research on neurodegeneration and dispersed publications for specialists that have a narrowed focus on computational methods to study this complicated process.

The handbook reviews the central issues and methodological approaches related to the field for which the reader pursues a thorough overview. It also conveys more advanced knowledge, thus serving both as an introductory text and as a starting point for an in-depth study of a specific area, as well as a quick reference source for the expert by reflecting the state of the art and future prospects. The book includes topics that are usually missing in standard textbooks and that are only marginally represented in the specific literature.

The broad scope of this handbook is reflected by five major parts that facilitate an integration of computational concepts, methods and applications in the study of neurodegeneration. Each part is intended to stand on its own, giving an overview of the topic and the most important problems and approaches, which are supported by examples, practical applications, and proposed methodologies. The basic concepts and knowledge, standard procedures and methods are presented, as well as recent advances and new perspectives. 

Keywords

  • neurodegeneration
  • disease modelling
  • information processing
  • digital health
  • data mining
  • metaheuristics
  • high-performance computing
  • mathematical modelling

Editors and Affiliations

  • Department of Informatics, Ionian University Department of Informatics, Corfu, Greece

    Panayiotis Vlamos

  • Dept of Physics and Computer Science, Wilfrid Laurier University, Waterloo, Canada

    Ilias S. Kotsireas

  • ResearchGate, ETH Zurich ResearchGate, Zurich, Switzerland

    Ioannis Tarnanas

About the editors

Dr. Panayiotis Vlamos, Professor, Ionian University, Greece, Director of Bioinformatics and Human Electrophysiology Lab (BiHELab) 

Dr. Ilias S. Kotsireas, Professor, Wilfrid Laurier University, Director, Computer Algebra Research group of Ontario, CARGO Lab 

Dr. Ioannis Tarnanas Senior Research Fellow ETH Health-IS Lab | Global Brain Health Institute (GBHI) Founder Altoida AG Lucerne, Switzerland 

Bibliographic Information