Characterization of affective states by pupillary dynamics and autonomic correlates
Name
Onorati-2013-Characterization of.pdf
Size
1.18 MB
Format
Adobe PDF
Checksum (MD5)
a5fbc1d15fd1647ad57d99d92406b027
Author(s)
Onorati, Francesco
Barbieri, Riccardo
Mauri, Maurizio
Russo, Vincenzo
Mainardi, Luca
Date Issued
November 2013
Journal
Frontiers in Neuroengineering
Publisher
Frontiers Research Foundation
Citation
Onorati, Francesco, Riccardo Barbieri, Maurizio Mauri, Vincenzo Russo, and Luca Mainardi. “Characterization of affective states by pupillary dynamics and autonomic correlates.” Frontiers in Neuroengineering 6 (2013).
Version
Final published version
Abstract
With the recent advent of new recording devices and an easier access to signal processing tools, researchers are increasingly exploring and studying the Pupil Dilation (PD) signal. Recently, numerous studies pointed out the relations between PD dynamics and psychophysiological states. Although it is well known that PD is controlled by the Autonomic Nervous System (ANS), and ANS responses are related to emotional events/stimuli, the relationship between emotional states and PD is still an open issue. The aim of this study is to define the statistical properties of the PD signal, to understand its relation with ANS correlates such as Heart Rate Variability (HRV) and respiration (RESP), and to explore if PD could provide information for the evaluation of the psychophysiological response of ANS to affective triggering events. ECG, RESP, and PD data from 13 normal subjects were recorded during a memory recall paradigm, and processed with spectral and cross-spectral analysis. Our results demonstrate that variability indices extracted from fast PD oscillations, not observable through standard cardiorespiratory identification in the frequency domain, would be able to discern psychophysiological responses elicited by basic emotional stimuli. A strong linear coupling was found between the variables, due to the influence of RESP on both PD and HRV within the High Frequency (HF) band, from 0.15 to 0.45 Hz. Most importantly, our results point at PD features as possible candidates for characterizing basic emotional stimuli.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3389/fneng.2013.00009
