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Structural and Functional Connectivity: A Combined Analysis of Patients with Multiple Sclerosis Using Joint-ICA

  • Conference paper
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XXVI Brazilian Congress on Biomedical Engineering

Part of the book series: IFMBE Proceedings ((IFMBE,volume 70/2))

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Abstract

The human brain can be compared to a “bundle of wires” composed by neurons that interconnect distinct gray matter regions. These “bundle of wires” are the principal composition of the white matter and has the fundamental function of conducting the synaptic signals to the gray matter. Functional magnetic resonance imaging (fMRI) corresponds to a neuroimage modality optimized to quantify neural activity that occurs in the gray matter, whereas the Diffusion Tensor Imaging (DTI) is another neuroimage modality optimized to quantify distinct white matter properties. Despite the resulting signal of these image modalities come from different tissues, they are signals that contain complementary information. In neurodegenerative diseases such as Multiple Sclerosis (MS), the myelin sheath of neurons are damaged, and can provoke a series of dysfunctions such as motor disability, problems with speech, visual problems, fatigue, among other complications. Knowing the existence of this intimate functional and structural correlation among white and gray matter, this study seeks to unify both, functional connectivity measures of fMRI and structural connectivity measures of DTI, using the statistical tool joint independent component analysis (J-ICA). Results show that the coupling of these different imaging modalities is modulated by scores derived from neuropsychological tests used to evaluate patient’s cognitive impairment by MS.

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Acknowledgements

This academic study was financially supported by Novartis. The authors received no reimbursement or financial benefits. Novartis played no role in the study design, methods, data management or analysis, or in the decision to publish. A graduate student scholarship from CAPES also supported for this study.

Author information

Authors and Affiliations

  1. Brain Institute of Rio Grande do Sul, PUCRS, Porto Alegre, Brazil

    José Osmar Alves Filho, Giordanni Passos, Lucas Gonçalves, Nathália Bianchini Esper, Luciana Azambuja, Jefferson Becker & Alexandre Rosa Franco

  2. School of Technology, PUCRS, Porto Alegre, Brazil

    José Osmar Alves Filho & Alexandre Rosa Franco

  3. Department of Child and Adolescent Psychiatry, Hassenfeld Children’s Hospital at NYU Langone Health, Child Study Center, New York, USA

    José Osmar Alves Filho

  4. School of Medicine, PUCRS, Porto Alegre, Brazil

    Giordanni Passos, Lucas Gonçalves, Nathália Bianchini Esper, Jefferson Becker & Alexandre Rosa Franco

  5. Center for the Developing Brain, Child Mind Institute, New York, USA

    Alexandre Rosa Franco

  6. Center for Biomedical Imaging and Neuromodulation, Nathan S Kline Institute for Psychiatric Research, Orangeburg, USA

    Alexandre Rosa Franco

Authors
  1. José Osmar Alves Filho
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  2. Giordanni Passos
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  7. Alexandre Rosa Franco
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Corresponding author

Correspondence to José Osmar Alves Filho .

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Editors and Affiliations

  1. INMETRO-Instituto Nacional de Metrologia, Qualidade e Tecnologia, Duque de Caxias, Rio de Janeiro, Brazil

    Rodrigo Costa-Felix

  2. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    João Carlos Machado

  3. INMETRO-Instituto Nacional de Metrologia, Qualidade e Tecnologia, Duque de Caxias, Rio de Janeiro, Brazil

    André Victor Alvarenga

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© 2019 Springer Nature Singapore Pte Ltd.

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Filho, J.O.A. et al. (2019). Structural and Functional Connectivity: A Combined Analysis of Patients with Multiple Sclerosis Using Joint-ICA. In: Costa-Felix, R., Machado, J., Alvarenga, A. (eds) XXVI Brazilian Congress on Biomedical Engineering. IFMBE Proceedings, vol 70/2. Springer, Singapore. https://doi.org/10.1007/978-981-13-2517-5_71

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  • DOI: https://doi.org/10.1007/978-981-13-2517-5_71

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2516-8

  • Online ISBN: 978-981-13-2517-5

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