Psychophysiological dynamics of emotional reactivity: Interindividual reactivity characterization and prediction by a machine learning approach

Psychophysiological dynamics of emotional reactivity: Interindividual reactivity characterization and prediction by a machine learning approach

The fast reaction of the autonomic nervous system (ANS) to an emotional challenge (EC) is the result of a functional coupling between parasympathetic (PNS) and sympathetic (SNS) branches. This coupling can be characterized by measures of cross-correlations between electrodermal activity (EDA) (under...

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Bibliographic Details
Main Authors: Canini, F. (Author), Claverie, D. (Author), Hot, P. (Author), Pellissier, S. (Author), Rutka, R. (Author), Verhoef, V. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
adult
article
autonomic nervous system
Autonomic nervous system
Autonomic Nervous System
Center for Epidemiological Studies Depression Scale
controlled study
cross correlation
Cross-correlation
electrodermal response
emotion
Emotion
Emotions
female
Galvanic Skin Response
human
human experiment
Humans
Interindividual variability
machine learning
Machine learning
Machine Learning
major clinical study
male
mood
Nonlinear
perception
prediction
psychophysiology
Psychophysiology
RR interval
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