Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/48064
Title: The effect of script-driven emotional imagery on postural control in healthy individuals
Authors: VAN WESEMAEL, Sofie 
Vlemincx, Elke
GOOSSENS, Nina 
Baggen, Remco
KLAPS, Sim 
BOGAERTS, Katleen 
JANSSENS, Lotte 
Issue Date: 2025
Publisher: Elsevier
Source: Gait & posture,
Status: In press
Abstract: Objective: Although emotions and postural control are strongly intertwined, more research is necessary to understand this intricate relationship. Therefore, we examined the effect of script-driven emotional imagery on postural control in healthy individuals. Methods: Forty-four healthy participants (50 % female, median age=27) imagined three emotional imagery scripts (hostile, acceptance, relaxation) in upright standing without visual input while center of pressure (CoP) was measured (mean sway, sway velocity, and standard deviation in antero-posterior and medio-lateral directions, and sway path and area). After each script, valence, arousal, and dominance were rated with the Self-Assessment Manikin (SAM) to check whether emotion induction was successful. Effects of emotional imagery on CoP and SAM were analyzed through mixed models. Results: Emotions were successfully induced; participants felt less pleasant (p < 0.0001), more aroused (p < 0.0001), and less in control (p < 0.0001) during hostile compared to acceptance and relaxation scripts. Inducing emotions did not affect CoP (p > 0.05), with the exception of antero-posterior CoP sway, which was significantly smaller during relaxation compared to acceptance scripts (p = 0.04). Conclusion: Although emotions were successfully induced, they minimally affected postural control in healthy individuals.
Keywords: Center of pressure;Emotional imagery;Emotions;Motor control;Postural control
Document URI: http://hdl.handle.net/1942/48064
ISSN: 0966-6362
e-ISSN: 1879-2219
DOI: 10.1016/j.gaitpost.2025.08.076
Rights: 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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