Publication:
Resting state Rolandic mu rhythms are related to activity of sympathetic component of autonomic nervous system in healthy humans

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Date

2016-05

Authors

Triggiani, Antonio Ivano
Valenzano, Anna
Del Percio, Claudio
Marzano, Nicola
Soricelli, Andrea
Petito, Annamaria
Bellomo, Antonello
Mundi, Ciro
Cibelli, Giuseppe
Babiloni, Claudio

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Elsevier Science Bv, Po Box 211, 1000 AE Amsterdam, Netherlands

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Abstract

We tested the hypothesis of a relationship between heart rate variability (HRV) and Rolandic mu rhythms in relaxed condition of resting state. Resting state eyes-closed electroencephalographic (EEG) and electrocardiographic (ECG) data were recorded (10-20 System) in 42 healthy adults. EEG rhythms of interest were high frequency alpha (10.5-13 Hz) and low-frequency beta (13-20 Hz), which are supposed to form Rolandic mu rhythms. Rolandic and occipital (control) EEG sources were estimated by LORETA software. Results showed a statistically significant (p < 0.05, corrected) negative correlation across all subjects between Rolandic cortical sources of low-frequency beta rhythms and the low-frequency band power (LF, 0.04-0.15 Hz) of tachogram spectrum as an index of HRV. The lower the amplitude of Rolandic sources of low-frequency beta rhythms (as a putative sign of activity of somatomotor cortex), the higher the LF band power of tachogram spectrum (as a putative sign of sympathetic activity). This effect was specific as there was neither a similar correlation between these EEG rhythms and high-frequency band power of tachogram spectrum (as a putative sign of parasympathetic vagal activity) neither between occipital sources of low-frequency beta rhythms (as a putative sign of activity of visual cortex) and LF band power of tachogram spectrum. These results suggest that Rolandic low frequency beta rhythms are related to sympathetic activity regulating heart rate, as a dynamic neurophysiologic oscillatory mechanism sub-serving the interaction between brain neural populations involved in somatomotor control and brain neural populations regulating ANS signals to heart for on-going homeostatic adaptations. (C) 2015 Elsevier B.V. All rights reserved.

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Keywords

Heart Rate Variability, Autonomic Nervous System, Mu Rhythms, Rolandic Rhythms, EEG, LORETA, Heart-Rate-Variability, Direct-Current Stimulation, Electromagnetic Tomography Loreta, Transcranial Magnetic Stimulation, Cerebral Vasomotor Reactivity, Event-Related Synchronization, Mild Cognitive Impairment, Power Spectrum Analysis, High-Resolution Eeg, Alzheimers-Disease

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