Key result
Mental stress tasks significantly modulated brain-body physiological networks, characterized by decreased cardiorespiratory interactions during sustained attention and increased brain-heart interactions during mental arithmetic.
Why the study?
Classical correlation analysis in network physiology required extension to multivariate methods to evaluate dynamic interactions within and between brain and body subnetworks.
Observational (n=18)
No
Multivariate correlation measures reveal complex, state-dependent interactions within and between brain and body physiological networks during mental stress.
New multivariate brain-body interaction measures extend network physiology methods; leaves clinical utility open pending validation.
In this work, we extend to the multivariate case the classical correlation analysis used in the field of network physiology to probe dynamic interactions between organ systems in the human body. To this end, we define different correlation-based measures of the multivariate interaction (MI) within and between the brain and body subnetworks of the human physiological network, represented, respectively, by the time series of δ, θ, α, and β electroencephalographic (EEG) wave amplitudes, and of heart rate, respiration amplitude, and pulse arrival time (PAT) variability (η, ρ, π). MI is computed: (i) considering all variables in the two subnetworks to evaluate overall brain-body interactions; (ii) focusing on a single target variable and dissecting its global interaction with all other variables into contributions arising from the same subnetwork and from the other subnetwork; and (iii) considering two variables conditioned to all the others to infer the network topology. The framework is applied to the time series measured from the EEG, electrocardiographic (ECG), respiration, and blood volume pulse (BVP) signals recorded synchronously via wearable sensors in a group of healthy subjects monitored at rest and during mental arithmetic and sustained attention tasks. We find that the human physiological network is highly connected, with predominance of the links internal of each subnetwork (mainly η-ρ and δ-θ, θ-α, α-β), but also statistically significant interactions between the two subnetworks (mainly η-β and η-δ). MI values are often spatially heterogeneous across the scalp and are modulated by the physiological state, as indicated by the decrease of cardiorespiratory interactions during sustained attention and by the increase of brain-heart interactions and of brain-brain interactions at the frontal scalp regions during mental arithmetic. These findings illustrate the complex and multi-faceted structure of interactions manifested within and between different physiological systems and subsystems across different levels of mental stress.
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Pernice et al. (2021) conducted an observational in Healthy (n=18). Mental stress (mental arithmetic and sustained attention tasks) vs. Resting condition was evaluated on Multivariate interaction (MI) between brain and body subnetworks. Mental stress tasks significantly modulated brain-body physiological networks, characterized by decreased cardiorespiratory interactions during sustained attention and increased brain-heart interactions during mental arithmetic.
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