Exploring the EEG Signatures of Musculoskeletal Pain

Sabata Gervasio; Kristian Hennings; Natalie Mrachacz-Kersting

doi:10.1007/978-3-030-01845-0_146

Exploring the EEG Signatures of Musculoskeletal Pain

Sabata Gervasio^*, Kristian Hennings, Natalie Mrachacz-Kersting

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

Abstract

Musculoskeletal pain is the most frequent health complaint reported by workers in Europe. Neurofeedback has been proposed to be an alternative to the current treatment of pain, however, the extent to which musculoskeletal pain alters the electroencephalographic (EEG) signal is still not known. The current study aims at identifying the signal characteristics provoked by musculoskeletal pain during movement. Healthy volunteers and patients diagnosed with Lateral Epicondylalgia performed wrist extension movements while EEG signals were collected. The power of the EEG signal was calculated and differences between healthy volunteers and patients were assessed. EEG activity of pain patients differed significantly from that observed in heathy volunteers within the alpha and beta band. This alteration is movement related and is particularly visible in frontal channel locations. The results of the current study are currently being implemented for the development of a neurofeedback protocol to treat musculoskeletal pain.

Original language	English
Title of host publication	Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy
Number of pages	5
Publisher	Springer Publishing Company
Publication date	1 Jan 2019
Pages	734-738
ISBN (Print)	978-3-030-01844-3
ISBN (Electronic)	978-3-030-01845-0
DOIs	https://doi.org/10.1007/978-3-030-01845-0_146
Publication status	Published - 1 Jan 2019
Event	4th International Conference on NeuroRehabilitation, ICNR2018 - Pisa, Italy Duration: 16 Oct 2018 → 20 Oct 2018

Conference

Conference	4th International Conference on NeuroRehabilitation, ICNR2018
Country/Territory	Italy
City	Pisa
Period	16/10/2018 → 20/10/2018

Series	Biosystems and Biorobotics
Volume	21
ISSN	2195-3562

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10.1007/978-3-030-01845-0_146

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Gervasio, S., Hennings, K., & Mrachacz-Kersting, N. (2019). Exploring the EEG Signatures of Musculoskeletal Pain. In Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy (pp. 734-738). Springer Publishing Company. https://doi.org/10.1007/978-3-030-01845-0_146

Gervasio, Sabata ; Hennings, Kristian ; Mrachacz-Kersting, Natalie. / Exploring the EEG Signatures of Musculoskeletal Pain. Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy. Springer Publishing Company, 2019. pp. 734-738 (Biosystems and Biorobotics, Vol. 21).

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abstract = "Musculoskeletal pain is the most frequent health complaint reported by workers in Europe. Neurofeedback has been proposed to be an alternative to the current treatment of pain, however, the extent to which musculoskeletal pain alters the electroencephalographic (EEG) signal is still not known. The current study aims at identifying the signal characteristics provoked by musculoskeletal pain during movement. Healthy volunteers and patients diagnosed with Lateral Epicondylalgia performed wrist extension movements while EEG signals were collected. The power of the EEG signal was calculated and differences between healthy volunteers and patients were assessed. EEG activity of pain patients differed significantly from that observed in heathy volunteers within the alpha and beta band. This alteration is movement related and is particularly visible in frontal channel locations. The results of the current study are currently being implemented for the development of a neurofeedback protocol to treat musculoskeletal pain.",

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Gervasio, S , Hennings, K & Mrachacz-Kersting, N 2019, Exploring the EEG Signatures of Musculoskeletal Pain. in Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy. Springer Publishing Company, Biosystems and Biorobotics, vol. 21, pp. 734-738, 4th International Conference on NeuroRehabilitation, ICNR2018, Pisa, Italy, 16/10/2018. https://doi.org/10.1007/978-3-030-01845-0_146

Exploring the EEG Signatures of Musculoskeletal Pain. / Gervasio, Sabata ; Hennings, Kristian; Mrachacz-Kersting, Natalie.
Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy. Springer Publishing Company, 2019. p. 734-738 (Biosystems and Biorobotics, Vol. 21).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

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AU - Hennings, Kristian

AU - Mrachacz-Kersting, Natalie

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AB - Musculoskeletal pain is the most frequent health complaint reported by workers in Europe. Neurofeedback has been proposed to be an alternative to the current treatment of pain, however, the extent to which musculoskeletal pain alters the electroencephalographic (EEG) signal is still not known. The current study aims at identifying the signal characteristics provoked by musculoskeletal pain during movement. Healthy volunteers and patients diagnosed with Lateral Epicondylalgia performed wrist extension movements while EEG signals were collected. The power of the EEG signal was calculated and differences between healthy volunteers and patients were assessed. EEG activity of pain patients differed significantly from that observed in heathy volunteers within the alpha and beta band. This alteration is movement related and is particularly visible in frontal channel locations. The results of the current study are currently being implemented for the development of a neurofeedback protocol to treat musculoskeletal pain.

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Gervasio S , Hennings K, Mrachacz-Kersting N. Exploring the EEG Signatures of Musculoskeletal Pain. In Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy. Springer Publishing Company. 2019. p. 734-738. (Biosystems and Biorobotics, Vol. 21). doi: 10.1007/978-3-030-01845-0_146

Exploring the EEG Signatures of Musculoskeletal Pain

Abstract

Conference

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AUB Link

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A neurofeedback treatment for chronic musculoskeletal pain

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Exploring the EEG Signatures of Musculoskeletal Pain

Abstract

Conference

Access to Document

AUB Link

Other files and links

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Projects

A neurofeedback treatment for chronic musculoskeletal pain

Cite this