Literature DB >> 25660308

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

Antonio Ivano Triggiani1, Anna Valenzano1, Claudio Del Percio2, Nicola Marzano3, Andrea Soricelli4, Annamaria Petito1, Antonello Bellomo1, Erol Başar5, Ciro Mundi6, Giuseppe Cibelli1, Claudio Babiloni7.   

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 (10.5-13Hz) and low-frequency beta (13-20Hz), 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, 0.04-0.15Hz) 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.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Autonomic Nervous System; EEG; Heart Rate Variability; LORETA; Mu Rhythms; Rolandic Rhythms

Mesh:

Year:  2015        PMID: 25660308     DOI: 10.1016/j.ijpsycho.2015.02.009

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  12 in total

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2.  Acute Effects of an Incremental Exercise Test on Psychophysiological Variables and Their Interaction.

Authors:  Alexander T John; Johanna Wind; Fabian Horst; Wolfgang I Schöllhorn
Journal:  J Sports Sci Med       Date:  2020-08-13       Impact factor: 2.988

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Authors:  Ehsan Shokri-Kojori; Dardo Tomasi; Nora D Volkow
Journal:  Cereb Cortex       Date:  2018-09-01       Impact factor: 5.357

4.  Role of Sex Hormones in the Control of Vegetative and Metabolic Functions of Middle-Aged Women.

Authors:  Vincenzo Monda; Monica Salerno; Moscatelli Fiorenzo; Ines Villano; Andrea Viggiano; Francesco Sessa; Antonio I Triggiani; Giuseppe Cibelli; Anna Valenzano; Gabriella Marsala; Christian Zammit; Maria Ruberto; Giovanni Messina; Marcellino Monda; Vincenzo De Luca; Antonietta Messina
Journal:  Front Physiol       Date:  2017-10-04       Impact factor: 4.566

5.  Heart rate variability reduction is related to a high amount of visceral adiposity in healthy young women.

Authors:  Antonio Ivano Triggiani; Anna Valenzano; Valentina Trimigno; Antonella Di Palma; Fiorenzo Moscatelli; Giuseppe Cibelli; Giovanni Messina
Journal:  PLoS One       Date:  2019-09-25       Impact factor: 3.240

6.  Modulation of brain alpha rhythm and heart rate variability by attention-related mechanisms.

Authors:  Elisa Magosso; Giulia Ricci; Mauro Ursino
Journal:  AIMS Neurosci       Date:  2019-03-04

7.  An Educational and Exercise Mobile Phone-Based Intervention to Elicit Electrophysiological Changes and to Improve Psychological Functioning in Adults With Nonspecific Chronic Low Back Pain (BackFit App): Nonrandomized Clinical Trial.

Authors:  Carolina Sitges; Juan L Terrasa; Nuria García-Dopico; Joan Segur-Ferrer; Olga Velasco-Roldán; Jaume Crespí-Palmer; Ana María González-Roldán; Pedro Montoya
Journal:  JMIR Mhealth Uhealth       Date:  2022-03-15       Impact factor: 4.947

Review 8.  Brain Oscillations in Sport: Toward EEG Biomarkers of Performance.

Authors:  Guy Cheron; Géraldine Petit; Julian Cheron; Axelle Leroy; Anita Cebolla; Carlos Cevallos; Mathieu Petieau; Thomas Hoellinger; David Zarka; Anne-Marie Clarinval; Bernard Dan
Journal:  Front Psychol       Date:  2016-02-26

9.  Brain Oscillations Elicited by the Cold Pressor Test: A Putative Index of Untreated Essential Hypertension.

Authors:  Christos Papageorgiou; Efstathios Manios; Eleftheria Tsaltas; Eleni Koroboki; Maria Alevizaki; Elias Angelopoulos; Meletios-Athanasios Dimopoulos; Charalabos Papageorgiou; Nikolaos Zakopoulos
Journal:  Int J Hypertens       Date:  2017-05-09       Impact factor: 2.420

10.  Resting EEG Microstates and Autonomic Heart Rate Variability Do Not Return to Baseline One Hour After a Submaximal Exercise.

Authors:  Jérôme N Spring; Nicolas Bourdillon; Jérôme Barral
Journal:  Front Neurosci       Date:  2018-07-10       Impact factor: 4.677

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