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International Work-Conference on the Interplay Between Natural and Artificial Computation

IWINAC 2019: Understanding the Brain Function and Emotions pp 3–10Cite as

The Effect of tDCS on EEG-Based Functional Connectivity in Gait Motor Imagery

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11486))

Abstract

Transcranial direct current stimulation (tDCS) is a non-invasive technique for brain stimulation capable of modulating brain excitability. Although beneficial effects of tDCS have been shown, the underlying brain mechanisms have not been described. In the present study, we aim to investigate the effects of tDCS on EEG-based functional connectivity, through a partial directed coherence (PDC) analysis, which is a frequency-domain metric that provides information about directionality in the interaction between signals recorded at different channels. The tDCS montage used in our study, was focused on the lower limbs and it was composed of two anodes and one cathode. A single-blind study was carried out, where eight healthy subjects were randomly separated into two groups: sham and active tDCS. Results showed that, for the active tDCS group, the central EEG electrodes Cz, C3 and C4 turned out to be highly connected within alpha and beta frequency bands. On the contrary, the sham group presented a tendency to be more random at its functional connections.

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Acknowledgments

This research has been carried out in the framework of the project Associate - Decoding and stimulation of motor and sensory brain activity to support long term potentiation through Hebbian and paired associative stimulation during rehabilitation of gait (DPI2014-58431-C4-2-R), funded by the Spanish Ministry of Economy and Competitiveness and by the European Union through the European Regional Development Fund (ERDF) “A way to build Europe”. Also, the Mexican Council of Science and Technology (CONACyT) provided J. A. Gaxiola-Tirado his scholarship, under Grant 220145.

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Authors and Affiliations

  1. CINVESTAV, Monterrey’s Unit, Vía del Conocimiento 201, PIIT, km 9.5 de la autopista nueva al aeropuerto, 66600, Apodaca, NL, Mexico

    J. A. Gaxiola-Tirado & D. Gutiérrez

  2. Brain-Machine Interface Systems Lab, Systems Engineering and Automation Department at Miguel Hernández University of Elche, Avda. de la Universidad s/n. Ed. Innova, 03202, Elche (Alicante), Spain

    M. Rodríguez-Ugarte, E. Iáñez, M. Ortiz & J. M. Azorín

Authors
  1. J. A. Gaxiola-Tirado
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  2. M. Rodríguez-Ugarte
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  3. E. Iáñez
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  4. M. Ortiz
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  5. D. Gutiérrez
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  6. J. M. Azorín
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Corresponding author

Correspondence to J. A. Gaxiola-Tirado .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Universidad Nacional de Educación a Distancia, Madrid, Madrid, Spain

    Félix de la Paz López

  4. Universidad Politécnica de Cartagena, Cartagena, Spain

    Javier Toledo Moreo

  5. The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

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Gaxiola-Tirado, J.A., Rodríguez-Ugarte, M., Iáñez, E., Ortiz, M., Gutiérrez, D., Azorín, J.M. (2019). The Effect of tDCS on EEG-Based Functional Connectivity in Gait Motor Imagery. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Understanding the Brain Function and Emotions. IWINAC 2019. Lecture Notes in Computer Science(), vol 11486. Springer, Cham. https://doi.org/10.1007/978-3-030-19591-5_1

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  • DOI: https://doi.org/10.1007/978-3-030-19591-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19590-8

  • Online ISBN: 978-3-030-19591-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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