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Finding the TMS-Targeted Group of Fibers Reconstructed from Diffusion MRI Data

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Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1427))

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Abstract

Transcranial magnetic stimulation is considered as a promising diagnostic and therapeutic approach, despite the fact that its mechanisms remain poorly understood. Theoretical models suggest that TMS-induced effects, within brain tissues, are rather local and strongly depend on the orientation of the stimulated nervous fibers. Using diffusion MRI, it is possible to estimate local orientation of the white matter fibers and to compute effects, that TMS impose at each point of them. The computed effects may be correlated with the experimentally observed TMS effects. However, since TMS effects are rather local, such relationships are likely to be observed only for a small subset of the reconstructed fibers. In this work, we present an approach for finding such a TMS-targeted subset of fibers, within a cortico-spinal tract, following stimulation of the motor cortex. Finding TMS-targeted groups of fibers is an important task for both (1) better understanding of the neuronal mechanisms, underlying the observed TMS effects and (2) development of future optimization strategies for TMS-based therapeutic approaches.

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Notes

  1. 1.

    http://www.trackvis.org.

  2. 2.

    https://github.com/KulikovaSofya/StimVis_TMS.

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Acknowledgement

Supported by Russian Science Foundation grant № 18-75-00034.

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Authors and Affiliations

  1. National Research University Higher School of Economics, Perm, Russia

    Sofya Kulikova & Aleksey Buzmakov

Authors
  1. Sofya Kulikova
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  2. Aleksey Buzmakov
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Corresponding author

Correspondence to Sofya Kulikova .

Editor information

Editors and Affiliations

  1. Voronezh State University, Voronezh, Russia

    Alexander Sychev

  2. Voronezh State University, Voronezh, Russia

    Sergey Makhortov

  3. Christian-Albrecht University of Kiel, Kiel, Schleswig-Holstein, Germany

    Bernhard Thalheim

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Kulikova, S., Buzmakov, A. (2021). Finding the TMS-Targeted Group of Fibers Reconstructed from Diffusion MRI Data. In: Sychev, A., Makhortov, S., Thalheim, B. (eds) Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2020. Communications in Computer and Information Science, vol 1427. Springer, Cham. https://doi.org/10.1007/978-3-030-81200-3_8

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  • DOI: https://doi.org/10.1007/978-3-030-81200-3_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-81199-0

  • Online ISBN: 978-3-030-81200-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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