{rfName}
EE

Indexed in

License and use

Altmetrics

Grant support

This work was supported by the Spanish Ministry of Economy and Competitiveness (PSI2014-57231-R) .

Analysis of institutional authors

Alba, GuzmanAuthor
Share
Publications
>
Article

EEG-heart rate connectivity changes after sensorimotor rhythm neurofeedback training: Ancillary study

Publicated to:NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY. 52 (1): 58-68 - 2022-02-01 52(1), DOI: 10.1016/j.neucli.2021.11.003

Authors: Alba, Guzman; Terrasa, Juan L.; Vila, Jaime; Montoya, Pedro; Munoz, Miguel A.;

Affiliations

Univ Balearic Isl, Res Inst Hlth Sci IUNICS, Palma De Mallorca, Spain - Author
Univ Granada CIMCYC UGR, Brain Mind & Behav Res Ctr, Campus Cartuja SN, Granada 18071, Spain - Author

Abstract

Objectives: Neurofeedback can induce long-term changes in brain functional connectivity, but its influence on the connectivity between different physiological systems is unknown. The present paper is an ancillary study of a previous paper that confirmed the effect of neurofeedback on brain connectivity associated with chronic pain. We analysed the influ-ence of neurofeedback on the connectivity between the electroencephalograph (EEG) and heart rate (HR). Methods: Seventeen patients diagnosed with fibromyalgia were divided into three groups: good sensorimotor rhythm (SMR) training responders (n = 4), bad SMR responders (n = 5) and fake training (SHAM, n = 8). Training consisted of six sessions in which participants learned to synchronize and desynchronize SMR power. Before the first training (pre-resting state) and sixth training (post-resting state) session, open-eye resting-state EEG and electrocardiograph signals were recorded. Results: Good responders reduced pain ratings after SMR neurofeedback training. This improvement in fibromyalgia symptoms was associated with a reduction of the connectivity between the central area and HR, between central and frontal areas, within the central area itself, and between central and occipital areas. The sham group and poor responders experienced no changes in their fibromyalgia symptoms. Conclusions: Our results provide new evidence that neurofeedback is a promising tool that can be used to treat of chronic pain syndromes and to obtain a better understanding of the interactions between physiological networks. These findings are preliminary, but they may pave the way for future studies that are more methodologically robust. In addition, new research questions are raised: what is the role of the central-peripheral network in chronic pain and what is the effect of neurofeedback on this network. (c) 2021 The Authors. Published by Elsevier Masson SAS. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Keywords
eegfibromyalgiafunctional connectivityheart rateneurofeedbackBiofeedback treatmentDynamicsEegFibromyalgiaFibromyalgia syndromeFmriFunctional connectivityHeart rateNetworkNeurofeedbackNociceptive flexion reflexPainPerformanceRate-variabilitySensorimotor rhythm

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2022, it was in position 33/79, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Physiology. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Medicine (Miscellaneous).

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-05-06:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 32.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 32 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.85.
  • The number of mentions on the social network X (formerly Twitter): 2 (Altmetric).
Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ALBA LASSO, GUZMAN) .