Physiological indices of challenge and threat: A data-driven investigation of autonomic nervous system reactivity during an active coping stressor task.

摘要: We utilized a data-driven, unsupervised machine learning approach to examine patterns of peripheral physiological responses during motivated performance context across two large, independent data sets, each with multiple measures. Results revealed that cardiovascular response commonly associated challenge and threat states emerged as the predominant responding within both samples, these best differentiated by reactivity in cardiac output, pre-ejection period, interbeat interval, total resistance. However, we also identified third, relatively large group apparent nonresponders who exhibited minimal all measures context. This was from others increases electrodermal activity. discuss implications for identifying characterizing this third individuals future research on threat.