Application of facial neuromuscular electrical stimulation (fNMES) in psychophysiological research: Practical recommendations based on a systematic review of the literature.

Electrical stimulation Emotion Facial feedback Facial muscles NMES

Journal

Behavior research methods
ISSN: 1554-3528
Titre abrégé: Behav Res Methods
Pays: United States
ID NLM: 101244316

Informations de publication

Date de publication:
20 Oct 2023
Historique:
accepted: 29 09 2023
pubmed: 21 10 2023
medline: 21 10 2023
entrez: 20 10 2023
Statut: aheadofprint

Résumé

Facial neuromuscular electrical stimulation (fNMES), which allows for the non-invasive and physiologically sound activation of facial muscles, has great potential for investigating fundamental questions in psychology and neuroscience, such as the role of proprioceptive facial feedback in emotion induction and emotion recognition, and may serve for clinical applications, such as alleviating symptoms of depression. However, despite illustrious origins in the 19th-century work of Duchenne de Boulogne, the practical application of fNMES remains largely unknown to today's researchers in psychology. In addition, published studies vary dramatically in the stimulation parameters used, such as stimulation frequency, amplitude, duration, and electrode size, and in the way they reported them. Because fNMES parameters impact the comfort and safety of volunteers, as well as its physiological (and psychological) effects, it is of paramount importance to establish recommendations of good practice and to ensure studies can be better compared and integrated. Here, we provide an introduction to fNMES, systematically review the existing literature focusing on the stimulation parameters used, and offer recommendations on how to safely and reliably deliver fNMES and on how to report the fNMES parameters to allow better cross-study comparison. In addition, we provide a free webpage, to easily visualise fNMES parameters and verify their safety based on current density. As an example of a potential application, we focus on the use of fNMES for the investigation of the facial feedback hypothesis.

Identifiants

pubmed: 37864116
doi: 10.3758/s13428-023-02262-7
pii: 10.3758/s13428-023-02262-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Austrian Science Fund
ID : P 32637-B

Informations de copyright

© 2023. The Author(s).

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Auteurs

Themis Nikolas Efthimiou (TN)

Department of Psychology, University of Essex, Colchester, UK. t.efthimiou@essex.ac.uk.

Monica Perusquia Hernandez (MP)

Nara Institute of Science and Technology, Ikoma, Japan.

Arthur Elsenaar (A)

ArtScience Interfaculty, Royal Academy of Art, Royal Conservatory, The Hague, Netherlands.

Marc Mehu (M)

Department of Psychology, Webster Vienna Private University, Vienna, Austria.

Sebastian Korb (S)

Department of Psychology, University of Essex, Colchester, UK. sebastian.korb@essex.ac.uk.
Department of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria. sebastian.korb@essex.ac.uk.

Classifications MeSH