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Characterization of affective states by pupillary dynamics and autonomic correlates.

Onorati F, Barbieri R, Mauri M, Russo V, Mainardi L - Front Neuroeng (2013)

Bottom Line: ECG, RESP, and PD data from 13 normal subjects were recorded during a memory recall paradigm, and processed with spectral and cross-spectral analysis.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.

View Article: PubMed Central - PubMed

Affiliation: Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano Milan, Italy ; Massachusetts Institute of Technology Cambridge, MA, USA ; Massachusetts General Hospital Boston, MA, USA ; Behavior and Brain Lab, IULM University Milan, Italy.

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.

No MeSH data available.


Related in: MedlinePlus

nDC analysis between RESP and PD for the subject “sbj11,” during “Baseline” event. The Coherence between RESP and PD is depicted on the top; in the middle we have the normalized direct Coherence considered from PD to RESP, i.e., nDCPD→RESP (left), and the normalized direct Coherence considered from RESP to PD, i.e., nDCRESP→PD (right); in the bottom the plots show the Gains for the respective transfer function, i.e., GPD→RESP (right) and GRESP→PD (left).
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Figure 6: nDC analysis between RESP and PD for the subject “sbj11,” during “Baseline” event. The Coherence between RESP and PD is depicted on the top; in the middle we have the normalized direct Coherence considered from PD to RESP, i.e., nDCPD→RESP (left), and the normalized direct Coherence considered from RESP to PD, i.e., nDCRESP→PD (right); in the bottom the plots show the Gains for the respective transfer function, i.e., GPD→RESP (right) and GRESP→PD (left).

Mentions: We computed also the nDC and the Gain of the related transfer functions. A graphical representation of the performed analysis is in Figure 6 while numerical results are presented in Table 6.


Characterization of affective states by pupillary dynamics and autonomic correlates.

Onorati F, Barbieri R, Mauri M, Russo V, Mainardi L - Front Neuroeng (2013)

nDC analysis between RESP and PD for the subject “sbj11,” during “Baseline” event. The Coherence between RESP and PD is depicted on the top; in the middle we have the normalized direct Coherence considered from PD to RESP, i.e., nDCPD→RESP (left), and the normalized direct Coherence considered from RESP to PD, i.e., nDCRESP→PD (right); in the bottom the plots show the Gains for the respective transfer function, i.e., GPD→RESP (right) and GRESP→PD (left).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3818468&req=5

Figure 6: nDC analysis between RESP and PD for the subject “sbj11,” during “Baseline” event. The Coherence between RESP and PD is depicted on the top; in the middle we have the normalized direct Coherence considered from PD to RESP, i.e., nDCPD→RESP (left), and the normalized direct Coherence considered from RESP to PD, i.e., nDCRESP→PD (right); in the bottom the plots show the Gains for the respective transfer function, i.e., GPD→RESP (right) and GRESP→PD (left).
Mentions: We computed also the nDC and the Gain of the related transfer functions. A graphical representation of the performed analysis is in Figure 6 while numerical results are presented in Table 6.

Bottom Line: ECG, RESP, and PD data from 13 normal subjects were recorded during a memory recall paradigm, and processed with spectral and cross-spectral analysis.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.

View Article: PubMed Central - PubMed

Affiliation: Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano Milan, Italy ; Massachusetts Institute of Technology Cambridge, MA, USA ; Massachusetts General Hospital Boston, MA, USA ; Behavior and Brain Lab, IULM University Milan, Italy.

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.

No MeSH data available.


Related in: MedlinePlus