The Cardiac Timing Toolbox (CaTT): Testing for physiologically plausible effects of cardiac timing on behaviour

Sherman, Maxine T.; Wang, Hao-Ting; Garfinkel, Sarah N.; Critchley, Hugo D.

doi:10.1016/j.biopsycho.2022.108291

Cited by 14 publications

(5 citation statements)

References 49 publications

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“…Other approaches are more appropriate for modelling and predicting inter-beat intervals or heartbeat events, such as the methods developed in Refs. [45,46,47]. In contrast, our approach focuses on the posterior distribution of the heart rate dynamics given the observed heart beats.…”

Section: Discussionmentioning

confidence: 99%

Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics

Rosas¹,

Candia-Rivera²,

Luppi³

et al. 2023

Preprint

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Recent research is revealing how cognitive processes are supported by a complex interplay between the brain and the rest of the body, which can be investigated by the analysis of physiological features such as breathing rhythms, heart rate, and skin conductance. Heart rate dynamics are of particular interest as they provide a way to track the sympathetic and parasympathetic outflow from the autonomic nervous system, which is known to play a key role in modulating attention, memory, decision-making, and emotional processing. However, extracting useful information from heartbeats about the autonomic outflow is still challenging due to the noisy estimates that result from standard signal-processing methods. To advance this state of affairs, we propose a paradigm shift in how we conceptualise and model heart rate: instead of being a mere summary of the observed inter-beat intervals, we introduce a modelling framework that views heart rate as a hidden stochastic process that drives the observed heartbeats. Moreover, by leveraging the rich literature of state-space modelling and Bayesian inference, our proposed framework delivers a description of heart rate dynamics that is not a point estimate but a posterior distribution of a generative model. We illustrate the capabilities of our method by showing that it recapitulates linear properties of conventional heart rate estimators, while exhibiting a better discriminative power for metrics of dynamical complexity compared across different physiological states.

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Section: Discussionmentioning

confidence: 99%

Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics

Rosas¹,

Candia-Rivera²,

Luppi³

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…The Watson-Williams test was used to determine the difference in alignment distribution between the two conditions (Pins− and Pins+). The Watson-Williams test was run using the MATLAB Toolbox for Circular Statistics [31].…”

Section: Analysis Of Cell Alignmentmentioning

confidence: 99%

Development of Bio-cultured Artificial Muscles with High Design Flexibility

et al. 2023

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Recent advances in bionics have made it possible to create various tissue and organs. Using this cell culture technology, engineers have developed a robot driven by three-dimensional cultured muscle cells (bioactuator)—a muscle cell robot. For more applications, researchers have been developed various tissues and organs with bio3D printer. However, three-dimensional cultured muscle cells printed by bio3D printer have been not used for muscle cell robot yet. The aim of our study is to develop easy fabrication method of bioactuator having high design flexibility like as bio3D printer. We fabricated three-dimensional cultured muscle cells using mold and dish having pin which can contribute to shape and cell alignment. In this study, we observed that our method maintained the shape of three-dimensional cultured muscle cells and caused cell alignment which is important for bioactuator development. We named three-dimensional cultured muscle cells developed in this study “bio-cultured artificial muscle (BiCAM)”. Finally, we observed that BiCAM contracted in response to electrical stimulus. From these data, we concluded our proposed method is easy fabrication method of bioactuator having high design flexibility.

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“…end of ventricular systole and the start of diastole) using the discrete wavelet method (Martínez et al, 2004). We then compute the "cardiac angle" at each peak of the entrained stimuli using the same physiologically motivated scaling implemented in the Cardiac Timing Toolbox (Sherman et al, 2022); phases of the cardiac cycle are expressed as an angle where π radians is always the R-peak and 0 radians is the offset of the T-wave, such that "negative" angles in the range [-π, 0] occur during systole and "positive" angles in the range [0, π] occur during diastole.…”

Section: Ecg Offline Processing and Analysismentioning

confidence: 99%

Cardiac afferent signals can facilitate visual dominance in binocular rivalry

Veillette,

Gao,

Nusbaum

2023

Preprint

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Sensory signals from the body’s visceral organs (e.g. the heart) can robustly influence the perception of exteroceptive sensations. This interoceptive-exteroceptive interaction has been argued to underlie self-awareness by situating one’s perceptual awareness of exteroceptive stimuli in the context of one’s internal state, but studies probing cardiac influences on visual awareness have yielded conflicting findings. In this study, we presented separate grating stimuli to each of subjects’ eyes as in a classic binocular rivalry paradigm – measuring the duration for which each stimulus dominates in perception. However, we caused the gratings to “pulse” at specific times relative to subjects’ real-time electrocardiogram, manipulating whether pulses occurred during cardiac systole, when baroreceptors signal to the brain that the heart has contracted, or in diastole when baroreceptors are silent. The influential “Baroreceptor Hypothesis” predicts the effect of baroreceptive input on visual perception should be uniformly suppressive. In contrast, we observed that dominance durations increased for systole-entrained stimuli, inconsistent with the Baroreceptor Hypothesis. Further, we show that this cardiac-dependent rivalry effect is preserved in subjects who are at-chance discriminating between systole-entrained and diastole-presented stimuli in a separate interoceptive awareness task, suggesting that our results are not dependent on conscious access to heartbeat sensations.

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The Cardiac Timing Toolbox (CaTT): Testing for physiologically plausible effects of cardiac timing on behaviour

Cited by 14 publications

References 49 publications

Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics

Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics

Development of Bio-cultured Artificial Muscles with High Design Flexibility

Cardiac afferent signals can facilitate visual dominance in binocular rivalry

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