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Critical Elements for Connectivity Analysis of Brain Networks

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Functional Brain Mapping: Methods and Aims

Part of the book series: Brain Informatics and Health ((BIH))

Abstract

In recent years, new and important perspectives were introduced in the field of neuroimaging with the emergence of the connectionist approach [136]. In this new context, it is important to know not only which brain areas are activated by a particular stimulus but, mainly, how these areas are structurally and functionally connected, distributed, and organized in relation to other areas. In addition, the arrangement of the network elements, i.e., its topology, and the dynamics they give rise to are also important. This new approach is called connectomics [15]. It brings together a series of techniques and methodologies capable of systematizing, from the different types of signals and images of the nervous system, how neuronal units to brain areas are connected. Through this approach, the different patterns of connectivity can be graphically and mathematically represented by the so-called connectomes [115].

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Authors and Affiliations

  1. Escola Paulista de Medicina (EPM), Department of Neurology and Neurosurgery, Discipline of Neuroscience, Lab. of Neuroengineering and Neurocognition, Universidade Federal de São Paulo—UNIFESP, São Paulo, Brazil

    Jean Faber, Priscila C. Antoneli, Noemi S. Araújo, Daniel J. L. L. Pinheiro & Esper Cavalheiro

  2. Centro Nacional de Pesquisa em Energia e Materiais CNPEM, Campinas, Brazil

    Esper Cavalheiro

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  1. Jean Faber
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  1. University of Maryland, Baltimore, MD, USA

    Vassiliy Tsytsarev

  2. University of Southern California, West Hollywood, USA

    Vicky Yamamoto

  3. Department of Information Engineering, Maebashi Institute of Technology, Maebashi, Japan

    Ning Zhong

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Faber, J., Antoneli, P.C., Araújo, N.S., Pinheiro, D.J.L.L., Cavalheiro, E. (2020). Critical Elements for Connectivity Analysis of Brain Networks. In: Tsytsarev, V., Yamamoto, V., Zhong, N. (eds) Functional Brain Mapping: Methods and Aims. Brain Informatics and Health. Springer, Singapore. https://doi.org/10.1007/978-981-15-6883-1_4

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