Plasticity of brain wave network interactions and evolution across physiologic states
“…Bashan et al (Bashan et al 2012) proposed the concept of time delay stability (TDS) to quantify the dynamic interactions among physiological processes, such as sleep and cardio-respiratory coupling. Building upon the concept of TDS, interactions across time scales and frequency bands have been explored to reveal dynamic interactions across body organs (Bartsch et al 2015, Liu et al 2015, Lin et al 2016). Utilizing the concept of “information dynamics”, entropy-based approaches have been proposed to quantify the information transfer between physiological processes (Faes et al 2014, Lee et al 2012).…”
Section: Discussionmentioning
“…Bashan et al (Bashan et al 2012) proposed the concept of time delay stability (TDS) to quantify the dynamic interactions among physiological processes, such as sleep and cardio-respiratory coupling. Building upon the concept of TDS, interactions across time scales and frequency bands have been explored to reveal dynamic interactions across body organs (Bartsch et al 2015, Liu et al 2015, Lin et al 2016). Utilizing the concept of “information dynamics”, entropy-based approaches have been proposed to quantify the information transfer between physiological processes (Faes et al 2014, Lee et al 2012).…”
Section: Discussionmentioning
“…Our reduction approach preserves the coherence spectra at different frequencies when different nodes are weakly connected as well as when they are strongly connected ( figure 2(C)). Such transition is seen in neural circuits during transition from deep sleep to light sleep [16], and hence the proposed reduction approach can explain how dynamical modes of brain networks are modulated by brain plasticity.…”
Section: Large-scale Network Of Hmr Neuronsmentioning
“…Drowsiness begins at approximately −70 mV and full-blown slow-wave-sleep is induced at −90 mV [25], suggesting that the thalamus exhibits a lower membrane potential than does the cortex because of the ~20 mV difference between states of waking and sleeping. The difference in membrane potential leads to a change from alpha, beta, and gamma waves to delta waves during deep sleep when 1) the membrane potential is high [26], or 2) from faster rhythms during a waking state to low-frequency rhythms observed during slow-wave and rapid eye movement sleep [24] [27]; however, the role of various EEG waves is not known. During the waking state, the thalamus communicates with the cortex via reciprocal connections-which could be the basis of cognition, and the thalamus is in a mode of tonic firing, which is suspected to be the vehicle for information transfer from the thalamus to the cortex [28].…”
Section: Thalamusmentioning
“…Corticomuscular coherence is highly regarded as the method to directly measure the relationship and connection between cortical and muscular activities, and electrophysiological signals are used to measure oscillatory activity within the brain [59]. Corticomuscular oscillations at ~10 Hz indicate brainmuscle communication, beta band oscillations (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) are associated with controlling less than maximal muscle force, and low gamma band oscillations are associated with controlling the production of stronger muscle force [59].…”
Section: Corticomuscular Coherencementioning