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Cardiorespiratory Information Dynamics during Mental Arithmetic and Sustained Attention.

Devy Widjaja1, Alessandro Montalto2, Elke Vlemincx3

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Information theory reveals cardiorespiratory coupling remains stable during mental stress. However, heart rate variability predictability increases during demanding mental arithmetic tasks, indicating altered physiological responses to cognitive load.

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Area of Science:

  • Physiology
  • Information Theory
  • Cardiorespiratory Dynamics

Background:

  • Mental arithmetic and sustained attention induce physiological stress.
  • Heart rate variability (HRV) and respiration are key cardiorespiratory signals.
  • Information theory offers novel methods for analyzing complex physiological data.

Purpose of the Study:

  • To analyze cardiorespiratory dynamics using information theory during mental stress.
  • To quantify cardiorespiratory coupling and HRV predictability across different mental states.

Main Methods:

  • Applied information-theoretic measures (self-entropy, transfer entropy, cross-entropy) to HRV and respiration data.
  • Analyzed tachogram and conditioned tachogram to assess information storage and internal information.
  • Compared cardiorespiratory coupling and predictability during rest, mental stress, and sustained attention.

Main Results:

  • Identified significant nonlinearities in cardiorespiratory time series using information-theoretic measures.
  • Found no significant difference in cardiorespiratory coupling across mental states, despite stress-related vagal activity reduction.
  • Demonstrated higher predictability of HRV (RR interval series) during mental arithmetic compared to rest or sustained attention.

Conclusions:

  • Cardiorespiratory coupling is robust to acute mental stress.
  • HRV predictability, particularly its relationship with respiration, is sensitive to cognitive task demands.
  • Information theory provides valuable insights into the nonlinear dynamics of cardiorespiratory responses to mental tasks.