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April 5, 2016Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences100 citationsOpen Access

Combining electroencephalographic activity and instantaneous heart rate for assessing brain–heart dynamics during visual emotional elicitation in healthy subjects

GVGaetano ValenzaAGAlberto GrecoCGClaudio Gentili

Structured PICO

P
Population
22 healthy volunteers
I
Intervention
Visual emotional elicitation using 110 affective pictures from the International Affective Picture System (each lasting 10 s, associated with 25 different combinations of arousal and valence levels)
C
Comparator
Neutral elicitations and varying levels of arousal/valence (within-subject comparisons)
O
Outcome
Brain-heart linear and nonlinear coupling estimated through the maximal information coefficient (MIC) combining EEG dynamics and instantaneous heart ratesurrogate

Brain-heart coupling analysis reveals that intermediate arousal levels drive significant differences in physiological responses to positive versus negative emotional stimuli.

Abstract

Emotion perception, occurring in brain areas such as the prefrontal cortex and amygdala, involves autonomic responses affecting cardiovascular dynamics. However, how such brain-heart dynamics is further modulated by emotional valence (pleasantness/unpleasantness), also considering different arousing levels (the intensity of the emotional stimuli), is still unknown. To this extent, we combined electroencephalographic (EEG) dynamics and instantaneous heart rate estimates to study emotional processing in healthy subjects. Twenty-two healthy volunteers were elicited through affective pictures gathered from the International Affective Picture System. The experimental protocol foresaw 110 pictures, each of which lasted 10 s, associated to 25 different combinations of arousal and valence levels, including neutral elicitations. EEG data were processed using short-time Fourier transforms to obtain time-varying maps of cortical activation, whereas the associated instantaneous cardiovascular dynamics was estimated in the time and frequency domains through inhomogeneous point-process models. Brain-heart linear and nonlinear coupling was estimated through the maximal information coefficient (MIC). Considering EEG oscillations in theθband (4-8 Hz), MIC highlighted significant arousal-dependent changes between positive and negative stimuli, especially occurring at intermediate arousing levels through the prefrontal cortex interplay. Moreover, high arousing elicitations seem to mitigate changes in brain-heart dynamics in response to pleasant/unpleasant visual elicitation.

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Cite This Study

Valenza et al. (2016) studied this question.

synapsesocial.com/papers/6a7fa353fcb7d43d28406adfhttps://doi.org/10.1098/rsta.2015.0176
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