Characteristics of facial muscle activity during voluntary facial expressions: Imaging analysis of facial expressions based on myogenic potential data
Abstract Purpose Facial expressions are formed by the coordination of facial muscles and reflect changes in emotion. Nurses observe facial expressions as way of understanding patients. This study conducted basic research using facial myogenic potential topography to visually determine changes in the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-09-01
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| Series: | Neuropsychopharmacology Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/npr2.12059 |
| _version_ | 1811301455127117824 |
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| author | Eriko Kuramoto Saori Yoshinaga Hiroyuki Nakao Seiji Nemoto Yasushi Ishida |
| author_facet | Eriko Kuramoto Saori Yoshinaga Hiroyuki Nakao Seiji Nemoto Yasushi Ishida |
| author_sort | Eriko Kuramoto |
| collection | DOAJ |
| description | Abstract Purpose Facial expressions are formed by the coordination of facial muscles and reflect changes in emotion. Nurses observe facial expressions as way of understanding patients. This study conducted basic research using facial myogenic potential topography to visually determine changes in the location and strength of facial muscle activity associated with voluntary facial expression to examine relationships with facial expressions. Methods Participants comprised 18 healthy adults (6 men, 12 women; mean age, 24.3 ± 4.3 years). Facial myogenic potentials were measured from 19 electrodes arranged concentrically on the face, and topographic analysis was conducted. Using potential changes and topograms, the muscle activity associated with nonvoluntary facial expression and voluntary facial expressions of happiness and disgust were classified according to the characteristics of expressions. To classify homogeneous groups among the reaction of disgust, hierarchical cluster analysis was utilized. Results One characteristic of the facial expression of happiness was activity in areas including the greater zygomatic muscle. With the facial expression of disgust, characteristic changes were seen in areas including the corrugator supercilii. Cluster analysis of the expression of disgust showed four homogeneous subgroups. Conclusion With facial myogenic potential topography, facial expressions can be evaluated objectively without being influenced by face shape or countenance. Color changes in topograms showed subtle changes in expressions that could not be supplemented with statistical processing alone, and these were useful in identifying individuality. Topography is thus expected to be utilized to supplement basic knowledge of facial expressions for a better understanding of patients. |
| first_indexed | 2024-04-13T07:10:19Z |
| format | Article |
| id | doaj.art-8f1ea40330904c6999147453fc711bcc |
| institution | Directory Open Access Journal |
| issn | 2574-173X |
| language | English |
| last_indexed | 2024-04-13T07:10:19Z |
| publishDate | 2019-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Neuropsychopharmacology Reports |
| spelling | doaj.art-8f1ea40330904c6999147453fc711bcc2022-12-22T02:56:54ZengWileyNeuropsychopharmacology Reports2574-173X2019-09-0139318319310.1002/npr2.12059Characteristics of facial muscle activity during voluntary facial expressions: Imaging analysis of facial expressions based on myogenic potential dataEriko Kuramoto0Saori Yoshinaga1Hiroyuki Nakao2Seiji Nemoto3Yasushi Ishida4Faculty of Nursing Miyazaki Prefectural Nursing University Miyazaki City JapanSchool of Nursing, Faculty of Medicine University of Miyazaki Miyazaki City JapanFaculty of Nursing Miyazaki Prefectural Nursing University Miyazaki City JapanTohto College of Health Sciences Chiba City JapanDepartment of Psychiatry, Faculty of Medicine University of Miyazaki Miyazaki City JapanAbstract Purpose Facial expressions are formed by the coordination of facial muscles and reflect changes in emotion. Nurses observe facial expressions as way of understanding patients. This study conducted basic research using facial myogenic potential topography to visually determine changes in the location and strength of facial muscle activity associated with voluntary facial expression to examine relationships with facial expressions. Methods Participants comprised 18 healthy adults (6 men, 12 women; mean age, 24.3 ± 4.3 years). Facial myogenic potentials were measured from 19 electrodes arranged concentrically on the face, and topographic analysis was conducted. Using potential changes and topograms, the muscle activity associated with nonvoluntary facial expression and voluntary facial expressions of happiness and disgust were classified according to the characteristics of expressions. To classify homogeneous groups among the reaction of disgust, hierarchical cluster analysis was utilized. Results One characteristic of the facial expression of happiness was activity in areas including the greater zygomatic muscle. With the facial expression of disgust, characteristic changes were seen in areas including the corrugator supercilii. Cluster analysis of the expression of disgust showed four homogeneous subgroups. Conclusion With facial myogenic potential topography, facial expressions can be evaluated objectively without being influenced by face shape or countenance. Color changes in topograms showed subtle changes in expressions that could not be supplemented with statistical processing alone, and these were useful in identifying individuality. Topography is thus expected to be utilized to supplement basic knowledge of facial expressions for a better understanding of patients.https://doi.org/10.1002/npr2.12059cluster analysiselectromyogramfacial expressionobservationtopography |
| spellingShingle | Eriko Kuramoto Saori Yoshinaga Hiroyuki Nakao Seiji Nemoto Yasushi Ishida Characteristics of facial muscle activity during voluntary facial expressions: Imaging analysis of facial expressions based on myogenic potential data Neuropsychopharmacology Reports cluster analysis electromyogram facial expression observation topography |
| title | Characteristics of facial muscle activity during voluntary facial expressions: Imaging analysis of facial expressions based on myogenic potential data |
| title_full | Characteristics of facial muscle activity during voluntary facial expressions: Imaging analysis of facial expressions based on myogenic potential data |
| title_fullStr | Characteristics of facial muscle activity during voluntary facial expressions: Imaging analysis of facial expressions based on myogenic potential data |
| title_full_unstemmed | Characteristics of facial muscle activity during voluntary facial expressions: Imaging analysis of facial expressions based on myogenic potential data |
| title_short | Characteristics of facial muscle activity during voluntary facial expressions: Imaging analysis of facial expressions based on myogenic potential data |
| title_sort | characteristics of facial muscle activity during voluntary facial expressions imaging analysis of facial expressions based on myogenic potential data |
| topic | cluster analysis electromyogram facial expression observation topography |
| url | https://doi.org/10.1002/npr2.12059 |
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