Psychophysiological strategies for enhancing performance through imagery–skin conductance level analysis in guided vs. self-produced imagery

• Published in: Scientific reports Vol. 14; no. 1; pp. 5197 - 12
• Main Authors: Budnik-Przybylska, Dagmara, Syty, Paweł, Kaźmierczak, Maria, Przybylski, Jacek, Doliński, Łukasz, Łabuda, Marta, Jasik, Patryk, Kastrau, Adrian, di Fronso, Selenia, Bertollo, Maurizio
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 02-03-2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/477; 631/57; Arousal; Athletes; Clusterization; Conductance; Dynamic time warping; Fluctuations; Guided vs. self-produced imagery; Humanities and Social Sciences; k-Shape; multidisciplinary; Physiology; Science; Science (multidisciplinary); Skin; Skin conductance level; k-Shape; Skin conductance level; Athletes; Clusterization; Dynamic time warping; Guided vs. self-produced imagery
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-55743-w

Athletes need to achieve their optimal level of arousal for peak performance. Visualization or mental rehearsal (i.e., Imagery) often helps to obtain an appropriate level of activation, which can be detected by monitoring Skin Conductance Level (SCL). However, different types of imagery could elicit different amount of physiological arousal. Therefore, this study aims: (1) to investigate differences in SCL associated with two instructional modalities of imagery (guided vs. self-produced) and six different scripts; (2) to check if SCL could differentiate respondents according to their sport expertise. Thirty participants, aged between 14 and 42 years (
M
 = 22.93;
SD
 = 5.24), with different sport levels took part in the study. Participants listened to each previously recorded script and then were asked to imagine the scene for a minute. During the task, SCL was monitored. We analysed the mean value, variance, slope and number of fluctuations per minute of the electrodermal signal. Unsupervised machine learning models were used for measuring the resemblance of the signal. The Wilcoxon signed-rank test was used for distinguishing guided and self-produced imagery, and The Mann–Whitney U test was used for distinguishing results of different level athletes. We discovered that among others, self-produced imagery generates lower SCL, higher variance, and a higher number of fluctuations compared to guided imagery. Moreover, we found similarities of the SCL signal among the groups of athletes (i.e. expertise level). From a practical point of view, our findings suggest that different imagery instructional modalities can be implemented for specific purposes of mental preparation.