December 2022
Volume 22, Issue 14
Open Access
Vision Sciences Society Annual Meeting Abstract  |   December 2022
Critical brain states related with self-initiated attentional shift
Author Affiliations
  • WEI WU
    Research Institute of Electrical Communication, Tohoku University
  • Kazuya Kobayashi
    Graduate School of Information Sciences, Tohoku University
  • Dengzhe Hou
    Graduate School of Information Sciences, Tohoku University
  • Shin Ono
    Graduate School of Information Sciences, Tohoku University
  • Yoshiyuki Sato
    Research Institute of Electrical Communication, Tohoku University
    Advanced Institute for Yotta Informatics, Tohoku University
  • Yasuhiro Hatori
    Research Institute of Electrical Communication, Tohoku University
    Graduate School of Information Sciences, Tohoku University
  • Chiahuei Tseng
    Research Institute of Electrical Communication, Tohoku University
    Graduate School of Information Sciences, Tohoku University
  • Satoshi Shioiri
    Research Institute of Electrical Communication, Tohoku University
    Graduate School of Information Sciences, Tohoku University
    Advanced Institute for Yotta Informatics, Tohoku University
Journal of Vision December 2022, Vol.22, 3883. doi:https://doi.org/10.1167/jov.22.14.3883
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      WEI WU, Kazuya Kobayashi, Dengzhe Hou, Shin Ono, Yoshiyuki Sato, Yasuhiro Hatori, Chiahuei Tseng, Satoshi Shioiri; Critical brain states related with self-initiated attentional shift. Journal of Vision 2022;22(14):3883. https://doi.org/10.1167/jov.22.14.3883.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

[Introduction] Visual attention is usually shifted by self-initiation in daily life, whereas most experiments of attention used a cue to indicate the location to focus. To understand the attention control system in daily life, it is crucial to investigate the brain activities corresponding to self-initiated attention. Criticality states of neural activities is one of possible indexes of the brain state in preparing attention shifts. Although neurons in different brain area exhibit various activities, it has been suggested that the multiscale brain activities follow the criticality theory. In this study, critical state was analyzed to investigate the possible mechanism related with self-initiated attentional shift, analyzing electroencephalogram (EEG) data. [Method] We conducted an experiment, in which subjects selected the location and time of attention shift freely, also allowing to choose not to shift. The critical state was analyzed separately for EEG results for different brain areas to compare brain activities under shift and no-shift cases. [Results] The results showed that, first, the critical brain state showed a power-law distribution with an exponent of -1.5 under both shift and no-shift conditions, which is consistent with prediction that brain attains an optimal dynamical regime for information processing. Second, the results showed that the transmission efficiency showed strong correlation with power-law exponent, with an efficiency of close to 1.0 under both shift and no-shift conditions, which supports the theory that exponent of power-law distribution from criticality state is closely related to transmission efficiency. Third, the results showed that significant difference of criticality states was found before the attentional shift between shift and no shift conditions, by comparing the power-law exponents during periods of time between about 3s and 1s before the time of attention shift. [Conclusion] The present results suggest that critical states of the global dynamics of brain activity is related to self-initiated attention.

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