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Brain-Computer Interface Research pp 91–96Cite as

Towards Online Functional Brain Mapping and Monitoring During Awake Craniotomy Surgery Using ECoG-Based Brain-Surgeon Interface (BSI)

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Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

Abstract

During brain surgery, functional brain mapping is critical, and the time needed for the procedure should be reduced to the minimum in order to avoid risks for the patient. In this project, we extend the traditional concept of BCI for communication and control between brain and external devices, to the concept of Brain-Surgeon Interface (BSI) in order to establish an interactive channel between the patient’s brain and the surgeon, with the ultimate goal of a high quality and precise brain surgery. Compared with “intraoperative fMRI”, which is expensive and time-consuming, or cortical electrical stimulation, which may cause epilepsy and brain swelling during the surgery, the proposed ECoG-based BSI system works in an online scenario, and the mapping time can be significantly reduced to a half minute for both motor and sensory cortex. Three signal modalities were used for functional brain mapping: movement related cortical potential, steady-state somatosensory evoked potential, event-related (de)synchronization. The proposed BSI system may provide a considerable advantage for clinical brain surgery applications.

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Author information

Authors and Affiliations

  1. Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada

    L. Yao, N. Jiang & X. Zhu

  2. State Key Lab of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China

    T. Xie, X. Sheng & D. Zhang

  3. Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China

    Z. Wu & L. Chen

  4. Shenzhen Institutes of Advanced Technology Chinese Academy of Science, Beijing, China

    C. Lin

  5. Universita Di Brescia, Brescia, Lombardy, Italy

    F. Negro

  6. Department of Health Science and Technology, Center for Sensory-Motor Interaction, Aalborg University, 9220, Aalborg, Denmark

    N. Mrachacz-Kersting

  7. Department of Bioengineering, Imperial College London, London, UK

    D. Farina

Authors
  1. L. Yao
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  2. T. Xie
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  3. Z. Wu
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  4. X. Sheng
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  5. D. Zhang
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  6. N. Jiang
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  7. C. Lin
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  8. F. Negro
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  9. L. Chen
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  10. N. Mrachacz-Kersting
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  11. X. Zhu
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  12. D. Farina
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Corresponding author

Correspondence to D. Farina .

Editor information

Editors and Affiliations

  1. g.tec Guger Technologies OG, Schiedlberg, Austria

    Christoph Guger

  2. g.tec Guger Technologies OG, Schiedlberg, Austria

    Brendan Allison

  3. Department of Neurobiology, Duke University, Durham, North Carolina, USA

    Mikhail Lebedev

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Yao, L. et al. (2017). Towards Online Functional Brain Mapping and Monitoring During Awake Craniotomy Surgery Using ECoG-Based Brain-Surgeon Interface (BSI). In: Guger, C., Allison, B., Lebedev, M. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-64373-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-64373-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64372-4

  • Online ISBN: 978-3-319-64373-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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