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Brain Morphological and Functional Networks: Implications for Neurodegeneration

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Physics of Biological Oscillators

Part of the book series: Understanding Complex Systems ((UCS))

Abstract

The highly complex architecture of brain networks has been characterised by modular structures at different levels of its organisation. Here, the focus is on modular properties of brain networks from in vivo neuroimaging of cortical morphology (e.g., thickness, surface area) and activity (function). In this chapter, I review findings on the mapping of these networks, including the time-varying functional networks, and describe some recent advances in mapping the macro- and micro-scales of brain organisation. The aim is to focus on cross-level and cross-modal organisational units of the brain, with reference to their modular topology. I describe recent approaches in network sciences to form bridges across different scales and properties. These approaches raise great expectations that cross-modal neuroimaging and analysis may provide a tool for understanding brain disorders at the system level.

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Authors and Affiliations

  1. Health Data Research UK and Swansea University Medical School, Data Science Building, Sketty, SA2 8PP, Swansea, Wales, UK

    Vesna Vuksanović

  2. Aberdeen Biomedical Imaging Centre, Institute for Medical Sciences University of Aberdeen, Aberdeen, Scotland, UK

    Vesna Vuksanović

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  1. Vesna Vuksanović
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Correspondence to Vesna Vuksanović .

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  1. Department of Physics, Lancaster University, Lancaster, UK

    Aneta Stefanovska

  2. Department of Physics, Lancaster University, Lancaster, UK

    Peter V. E. McClintock

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Vuksanović, V. (2021). Brain Morphological and Functional Networks: Implications for Neurodegeneration. In: Stefanovska, A., McClintock, P.V.E. (eds) Physics of Biological Oscillators. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-59805-1_21

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