{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T18:12:20Z","timestamp":1790187140894,"version":"4.1.0"},"reference-count":44,"publisher":"Cambridge University Press (CUP)","issue":"4","license":[{"start":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T00:00:00Z","timestamp":1701216000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Int Neuropsychol Soc"],"published-print":{"date-parts":[[2024,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec id=\"S1355617723000747_as1\"><jats:title>Objectives:<\/jats:title><jats:p>Facial expressions are a core component of emotions and nonverbal social communication. Therefore, hypomimia as secondary symptom of Parkinson\u2019s disease (PD) has adverse effects like social impairment, stigmatization, under-diagnosis and under-treatment of depression, and a generally lower quality of life. Beside unspecific dopaminergic treatment, specific treatment options for hypomimia in PD are rarely investigated. This quasi-randomized controlled trial evaluated the short-term effects of facial electromyogram (EMG) based biofeedback to enhance facial expression and emotion recognition as nonverbal social communication skills in PD patients. Furthermore effects on affect are examined.<\/jats:p><\/jats:sec><jats:sec id=\"S1355617723000747_as2\"><jats:title>Method:<\/jats:title><jats:p>A sample of 34 in-patients with PD were allocated either to facial EMG-biofeedback as experimental group or non-facial exercises as control group. Facial expression during posing of emotions (measured via EMG), facial emotion recognition, and positive and negative affect were assessed before and after treatment. Stronger improvements were expected in the EMG-biofeedback in comparison to the control group.<\/jats:p><\/jats:sec><jats:sec id=\"S1355617723000747_as3\"><jats:title>Results:<\/jats:title><jats:p>The facial EMG-biofeedback group showed significantly greater improvements in overall facial expression, and especially for happiness and disgust. Also, overall facial emotion recognition abilities improved significantly stronger in the experimental group. Positive affect was significantly increased in both groups with no significant differences between them, while negative affect did not change within both groups.<\/jats:p><\/jats:sec><jats:sec id=\"S1355617723000747_as4\"><jats:title>Conclusions:<\/jats:title><jats:p>The study provides promising evidence for facial EMG-biofeedback as a tool to improve facial expression and emotion recognition in PD. Embodiment theories are discussed as working mechanism.<\/jats:p><\/jats:sec>","DOI":"10.1017\/s1355617723000747","type":"journal-article","created":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T04:57:07Z","timestamp":1701233827000},"page":"360-369","source":"Crossref","is-referenced-by-count":8,"title":["Effects of facial biofeedback on hypomimia, emotion recognition, and affect in Parkinson\u2019s disease"],"prefix":"10.1017","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0059-6441","authenticated-orcid":false,"given":"Sarah","family":"Ro\u00dfkopf","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Theresa Friederike","family":"Wechsler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefanie","family":"Tucha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas","family":"M\u00fchlberger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2023,11,29]]},"reference":[{"key":"S1355617723000747_ref5","doi-asserted-by":"publisher","DOI":"10.1080\/10413200008404214"},{"key":"S1355617723000747_ref6","doi-asserted-by":"publisher","DOI":"10.1023\/A:1021370825283"},{"key":"S1355617723000747_ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2017.02.006"},{"key":"S1355617723000747_ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10072-015-2421-9"},{"key":"S1355617723000747_ref19","doi-asserted-by":"publisher","DOI":"10.1002\/mds.22340"},{"key":"S1355617723000747_ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.socscimed.2011.05.008"},{"key":"S1355617723000747_ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2015.10.056"},{"key":"S1355617723000747_ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.euroneuro.2008.07.004"},{"key":"S1355617723000747_ref21","doi-asserted-by":"publisher","DOI":"10.1037\/a0016105"},{"key":"S1355617723000747_ref42","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.54.6.1063"},{"key":"S1355617723000747_ref23","unstructured":"IBM Corporation (2019). 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