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Transcranial focused ultrasound to V5 enhances human visual motion brain-computer interface by modulating feature-based attention

Author

Listed:
  • Joshua Kosnoff

    (Carnegie Mellon University)

  • Kai Yu

    (Carnegie Mellon University)

  • Chang Liu

    (Carnegie Mellon University
    Boston University)

  • Bin He

    (Carnegie Mellon University
    Carnegie Mellon University)

Abstract

A brain-computer interface (BCI) enables users to control devices with their minds. Despite advancements, non-invasive BCIs still exhibit high error rates, prompting investigation into the potential reduction through concurrent targeted neuromodulation. Transcranial focused ultrasound (tFUS) is an emerging non-invasive neuromodulation technology with high spatiotemporal precision. This study examines whether tFUS neuromodulation can improve BCI outcomes, and explores the underlying mechanism of action using high-density electroencephalography (EEG) source imaging (ESI). As a result, V5-targeted tFUS significantly reduced the error in a BCI speller task. Source analyses revealed a significantly increase in theta and alpha activities in the tFUS condition at both V5 and downstream in the dorsal visual processing pathway. Correlation analysis indicated that the connection within the dorsal processing pathway was preserved during tFUS stimulation, while the ventral connection was weakened. These findings suggest that V5-targeted tFUS enhances feature-based attention to visual motion.

Suggested Citation

  • Joshua Kosnoff & Kai Yu & Chang Liu & Bin He, 2024. "Transcranial focused ultrasound to V5 enhances human visual motion brain-computer interface by modulating feature-based attention," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48576-8
    DOI: 10.1038/s41467-024-48576-8
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    1. Chad E. Bouton & Ammar Shaikhouni & Nicholas V. Annetta & Marcia A. Bockbrader & David A. Friedenberg & Dylan M. Nielson & Gaurav Sharma & Per B. Sederberg & Bradley C. Glenn & W. Jerry Mysiw & Austin, 2016. "Restoring cortical control of functional movement in a human with quadriplegia," Nature, Nature, vol. 533(7602), pages 247-250, May.
    2. Sharif I. Kronemer & Mark Aksen & Julia Z. Ding & Jun Hwan Ryu & Qilong Xin & Zhaoxiong Ding & Jacob S. Prince & Hunki Kwon & Aya Khalaf & Sarit Forman & David S. Jin & Kevin Wang & Kaylie Chen & Clai, 2022. "Human visual consciousness involves large scale cortical and subcortical networks independent of task report and eye movement activity," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    3. Jacqmin-Gadda, Helene & Sibillot, Solenne & Proust, Cecile & Molina, Jean-Michel & Thiebaut, Rodolphe, 2007. "Robustness of the linear mixed model to misspecified error distribution," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 5142-5154, June.
    4. Francis R. Willett & Donald T. Avansino & Leigh R. Hochberg & Jaimie M. Henderson & Krishna V. Shenoy, 2021. "High-performance brain-to-text communication via handwriting," Nature, Nature, vol. 593(7858), pages 249-254, May.
    5. Kai Yu & Xiaodan Niu & Esther Krook-Magnuson & Bin He, 2021. "Intrinsic functional neuron-type selectivity of transcranial focused ultrasound neuromodulation," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
    6. Sangjin Yoo & David R. Mittelstein & Robert C. Hurt & Jerome Lacroix & Mikhail G. Shapiro, 2022. "Focused ultrasound excites cortical neurons via mechanosensitive calcium accumulation and ion channel amplification," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    7. Jon M Houck & Eric D Claus, 2020. "A comparison of automated and manual co-registration for magnetoencephalography," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-9, April.
    8. Siti N. Yaakub & Tristan A. White & Jamie Roberts & Eleanor Martin & Lennart Verhagen & Charlotte J. Stagg & Stephen Hall & Elsa F. Fouragnan, 2023. "Transcranial focused ultrasound-mediated neurochemical and functional connectivity changes in deep cortical regions in humans," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    9. Gopala K. Anumanchipalli & Josh Chartier & Edward F. Chang, 2019. "Speech synthesis from neural decoding of spoken sentences," Nature, Nature, vol. 568(7753), pages 493-498, April.
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