Keinert, M.* ; Schindler-Gmelch, L.* ; Rupp, L.H.* ; Sadeghi, M.* ; Capito, K.* ; Hager, M.* ; Rahimi, F.* ; Richer, R.* ; Egger, B.* ; Eskofier, B.M. ; Berking, M.*
Facing depression: Evaluating the efficacy of the EmpkinS-EKSpression reappraisal training augmented with facial expressions - protocol of a randomized controlled trial.
BMC Psychiatry 24:896 (2024)
BACKGROUND: Dysfunctional depressogenic cognitions are considered a key factor in the etiology and maintenance of depression. In cognitive behavioral therapy (CBT), the current gold-standard psychotherapeutic treatment for depression, cognitive restructuring techniques are employed to address dysfunctional cognitions. However, high drop-out and non-response rates suggest a need to boost the efficacy of CBT for depression. This might be achieved by enhancing the role of emotional and kinesthetic (i.e., body movement perception) features of interventions. Therefore, we aim to evaluate the efficacy of a cognitive restructuring task augmented with the performance of anti-depressive facial expressions in individuals with and without depression. Further, we aim to investigate to what extent kinesthetic markers are intrinsically associated with and, hence, allow for the detection of, depression. METHODS: In a four-arm, parallel, single-blind, randomized controlled trial (RCT), we will randomize 128 individuals with depression and 128 matched controls without depression to one of four study conditions: (1) a cognitive reappraisal training (CR); (2) CR enhanced with instructions to display anti-depressive facial expressions (CR + AFE); (3) facial muscle training focusing on anti-depressive facial expressions (AFE); and (4) a sham control condition. One week after diagnostic assessment, a single intervention of 90-120-minute duration will be administered, with a subsequent follow-up two weeks later. Depressed mood will serve as primary outcome. Secondary outcomes will include current positive mood, symptoms of depression, current suicidality, dysfunctional attitudes, automatic thoughts, emotional state, kinesthesia (i.e., facial expression, facial muscle activity, body posture), psychophysiological measures (e.g., heart rate (variability), respiration rate (variability), verbal acoustics), as well as feasibility measures (i.e., treatment integrity, compliance, usability, acceptability). Outcomes will be analyzed with multiple methods, such as hierarchical and conventional linear models and machine learning. DISCUSSION: If shown to be feasible and effective, the inclusion of kinesthesia into both psychotherapeutic diagnostics and interventions may be a pivotal step towards the more prompt, efficient, and targeted treatment of individuals with depression. TRIAL REGISTRATION: The study was preregistered in the Open Science Framework on August 12, 2022 ( https://osf.io/mswfg/ ) and retrospectively registered in the German Clinical Trials Register on November 25, 2024. CLINICAL TRIAL NUMBER: DRKS00035577.
Impact Factor
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Cognitive Reappraisal ; Depression ; Embodiment ; Facial Expression ; Kinesthesia ; Machine Learning ; Smartphone-based Intervention; Cognitive-behavioral Therapy; Adult Depression; Metaanalysis; Validity; Stimuli; Electromyography; Improvement; Posture; Upright; Version
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2024
Prepublished im Jahr
0
HGF-Berichtsjahr
2024
ISSN (print) / ISBN
1471-244X
e-ISSN
1471-244X
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 24,
Heft: 1,
Seiten: ,
Artikelnummer: 896
Supplement: ,
Reihe
Verlag
BioMed Central
Verlagsort
Campus, 4 Crinan St, London N1 9xw, England
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of AI for Health (AIH)
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-540008-001
Förderungen
Deutsche Forschungsgemeinschaft
Copyright
Erfassungsdatum
2024-12-17