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Alzheimer’s Disease: Rhythms, Local Circuits, and Model-Experiment Interactions

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Multiscale Models of Brain Disorders

Part of the book series: Springer Series in Cognitive and Neural Systems ((SSCNS,volume 13))

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Abstract

As more biological details emerge from sophisticated experimental techniques today, we are faced with the increasing challenge of how best to develop and use computational models to gain insight into neurological diseases. In this chapter we briefly describe what is known regarding Alzheimer’s disease (AD) and changes in brain rhythms as well as computational models in AD. We then briefly describe an expansion of our previous proposal of using whole hippocampus experimental preparations that spontaneously express θ and γ rhythms when developing microcircuit models. In this way, a cycling between model and experiment becomes possible allowing model insights to be brought to bear in understanding AD in our complex brain circuits.

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Authors and Affiliations

  1. Krembil Research Institute, University Health Network, Toronto, ON, Canada

    Frances K. Skinner & Alexandra Chatzikalymniou

  2. Department of Medicine (Neurology) and Physiology, University of Toronto, Toronto, ON, Canada

    Frances K. Skinner

  3. Department of Physiology, University of Toronto, Toronto, ON, Canada

    Alexandra Chatzikalymniou

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  1. Frances K. Skinner
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  2. Alexandra Chatzikalymniou
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Correspondence to Frances K. Skinner .

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Editors and Affiliations

  1. School of Computer Science, University of Lincoln, Lincoln, UK

    Vassilis Cutsuridis

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Skinner, F.K., Chatzikalymniou, A. (2019). Alzheimer’s Disease: Rhythms, Local Circuits, and Model-Experiment Interactions. In: Cutsuridis, V. (eds) Multiscale Models of Brain Disorders. Springer Series in Cognitive and Neural Systems, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-18830-6_14

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