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Brain State-Triggered Stimulus Delivery Helps to Optimize Reaction Time

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Augmented Cognition (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14019))

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Abstract

In the present study, a fast and adaptive technique for the presentation of stimuli based on ongoing brain rhythm is described. Sensorimotor cortical mu rhythm (divided by two components: alpha (mu) and beta) was used as target for assessment of prestimulus rhythm’s power influence on the consequent reaction time. The final sample consisted of 15 participants who was instructed to response immediately after change of stimuli color. As a result of the method application, a longer reaction time in the case of highly synchronized beta oscillations compared to desynchronization was achieved in the simple reaction time task. It indicates, firstly, a crucial role of baseline, prestimulus beta in motor action initiation and, secondly, the possibility to change reaction using adaptive processing and timing of presentation in real-time.

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Funding

This work is an output of a research project implemented as part of the Basic Research Program at the National Research University Higher School of Economics (HSE University)

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Authors and Affiliations

  1. Center for Bioelectric Interfaces, HSE University, Moscow, Russia

    Vladislav Aksiotis, Alexey Tumyalis & Alexey Ossadtchi

Authors
  1. Vladislav Aksiotis
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  2. Alexey Tumyalis
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  3. Alexey Ossadtchi
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Corresponding author

Correspondence to Vladislav Aksiotis .

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Editors and Affiliations

  1. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  2. Katmai Government Services, Orlando, FL, USA

    Cali M. Fidopiastis

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Aksiotis, V., Tumyalis, A., Ossadtchi, A. (2023). Brain State-Triggered Stimulus Delivery Helps to Optimize Reaction Time. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Augmented Cognition. HCII 2023. Lecture Notes in Computer Science(), vol 14019. Springer, Cham. https://doi.org/10.1007/978-3-031-35017-7_1

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  • DOI: https://doi.org/10.1007/978-3-031-35017-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35016-0

  • Online ISBN: 978-3-031-35017-7

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