Inhibitory Control and Brain–Heart Interaction: An HRV-EEG Study

Abstract

Background: Motor inhibition is a complex cognitive function regulated by specific brain regions and influenced by the activity of the Central Autonomic Network. We investigate the two-way Brain–Heart interaction during a Go/NoGo task. Spectral EEG ϑ, α powerbands, and HRV parameters (Complexity Index (CI), Low Frequency (LF) and High Frequency (HF) powers) were recorded. Methods: Fourteen healthy volunteers were enrolled. We used a modified version of the classical Go/NoGo task, based on Rule Shift Cards, characterized by a baseline and two different tasks of different complexity. The participants were divided into subjects with Good (GP) and Poor (PP) performances. Results: In the baseline, CI was negatively correlated with α/ϑ. In task 1, the CI was negatively correlated with the errors and α/ϑ, while the errors were positively correlated with α/ϑ. In task 2, CI was negatively correlated with the Reaction Time and positively with α, and the errors were negatively correlated with the Reaction Time and positively correlated with α/ϑ. The GP group showed, at baseline, a negative correlation between CI and α/ϑ. Conclusions: We provide a new combined Brain–Heart model underlying inhibitory control abilities. The results are consistent with the complementary role of α and ϑ oscillations in cognitive control.

Bedside nursing care for patients on hemodialysis

“…The RSCardsT is a tool used to measure cognitive flexibility and the ability of the assessed to switch from one pattern to another in two tests presented consecutively, taking into account the test execution time and the number of errors made. (CORTESE et al, 2022;FERNANDES et al, 2015). conducted a trial with 10 individuals, during 8 weeks, through the application of TMT.…”

Individual differences in seated resting heart rate are associated with multisensory perceptual function in older adults

“…Indeed, the HR has been forwarded as a fundamental scaling factor for neural oscillatory dynamics (Klimesch, 2018), suggesting that cardiovascular rhythms can be coupled with neural oscillations (Klimesch, 2018;Rassi et al, 2019). An association between cortical oscillations and cardiovascular activity has been documented for the alpha band in particular (Cortese et al, 2022;De Munck et al, 2008;Lechinger et al, 2015), including a positive correlation between peak occipital alpha frequency and HR (Lechinger et al, 2015). Occipital alpha oscillations are thought to represent the temporal unit of visual processing (Cecere et al, 2015).…”

Exploring Central-Peripheral Nervous System Interaction Through Multimodal Biosignals: A Systematic Review

“…Subjects in these studies are recruited based on the history of their neurological disorder [21]- [44] diabetes [45], [46], obesity [46], cardiovascular disease [25], [27], [30], [34], [42], [45]- [47], muscular issues [44], [48], and sleep disorder [49]. People who are taking medications [21], [22], [32], [43], [45], [46], [50]- [52], smoking [21], [39], [45], [49], [51], alcohol, tea, coffee [22], [25], [35], [37], [38], [45], [52], [53] are not considered. People who had done strenuous exercise before the experiment are avoided [22], [37], [38], [44], [52].…”