EEG Signal Indicator for Emotional Reactivity

Regional Frontal Lobe Response Magnitudes During Affective Shifting Covary With Resting Heart Rate Variability in Healthy Volunteers

Journal of Psychophysiology ◽

10.1027/0269-8803/a000166 ◽

2016 ◽

Vol 30 (4) ◽

pp. 165-174 ◽

Cited By ~ 3

Author(s):

Ryan Smith ◽

John J.B. Allen ◽

Julian F. Thayer ◽

Richard D. Lane

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Healthy Subjects ◽

Emotional Reactivity ◽

Bold Signal ◽

Resting Heart Rate ◽

Functional Magnetic Resonance ◽

Absolute Value ◽

Cardiac Vagal Control ◽

Resting Heart Rate Variability

Abstract. We hypothesized that in healthy subjects differences in resting heart rate variability (rHRV) would be associated with differences in emotional reactivity within the medial visceromotor network (MVN). We also probed whether this MVN-rHRV relationship was diminished in depression. Eleven healthy adults and nine depressed subjects performed the emotional counting stroop task in alternating blocks of emotion and neutral words during functional magnetic resonance imaging (fMRI). The correlation between rHRV outside the scanner and BOLD signal reactivity (absolute value of change between adjacent blocks in the BOLD signal) was examined in specific MVN regions. Significant negative correlations were observed between rHRV and average BOLD shift magnitude (BSM) in several MVN regions in healthy subjects but not depressed subjects. This preliminary report provides novel evidence relating emotional reactivity in MVN regions to rHRV. It also provides preliminary suggestive evidence that depression may involve reduced interaction between the MVN and cardiac vagal control.

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Complexity Measures of Brain Electrophysiological Activity

Journal of Psychophysiology ◽

10.1027/0269-8803/a000024 ◽

2010 ◽

Vol 24 (2) ◽

pp. 131-135 ◽

Cited By ~ 5

Author(s):

Włodzimierz Klonowski ◽

Pawel Stepien ◽

Robert Stepien

Keyword(s):

Brain Activity ◽

Deterministic Chaos ◽

Epileptic Seizures ◽

Eeg Signal ◽

Eeg Signals ◽

Complexity Measures ◽

Electrophysiological Activity ◽

Signal Complexity ◽

Physiological Sleep ◽

The Brain

Over 20 years ago, Watt and Hameroff (1987 ) suggested that consciousness may be described as a manifestation of deterministic chaos in the brain/mind. To analyze EEG-signal complexity, we used Higuchi’s fractal dimension in time domain and symbolic analysis methods. Our results of analysis of EEG-signals under anesthesia, during physiological sleep, and during epileptic seizures lead to a conclusion similar to that of Watt and Hameroff: Brain activity, measured by complexity of the EEG-signal, diminishes (becomes less chaotic) when consciousness is being “switched off”. So, consciousness may be described as a manifestation of deterministic chaos in the brain/mind.

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Emotional Reactivity to Visual Content as Revealed by ERP Component Clustering

Journal of Psychophysiology ◽

10.1027/0269-8803/a000145 ◽

2015 ◽

Vol 29 (4) ◽

pp. 135-146 ◽

Cited By ~ 3

Author(s):

Miroslaw Wyczesany ◽

Szczepan J. Grzybowski ◽

Jan Kaiser

Keyword(s):

Emotional Reactivity ◽

Brain Activity ◽

Affective State ◽

Occipital Lobe ◽

Stimulus Onset ◽

Emotional States ◽

Neural Basis ◽

Temporoparietal Junction ◽

The Right ◽

The Impact

Abstract. In the study, the neural basis of emotional reactivity was investigated. Reactivity was operationalized as the impact of emotional pictures on the self-reported ongoing affective state. It was used to divide the subjects into high- and low-responders groups. Independent sources of brain activity were identified, localized with the DIPFIT method, and clustered across subjects to analyse the visual evoked potentials to affective pictures. Four of the identified clusters revealed effects of reactivity. The earliest two started about 120 ms from the stimulus onset and were located in the occipital lobe and the right temporoparietal junction. Another two with a latency of 200 ms were found in the orbitofrontal and the right dorsolateral cortices. Additionally, differences in pre-stimulus alpha level over the visual cortex were observed between the groups. The attentional modulation of perceptual processes is proposed as an early source of emotional reactivity, which forms an automatic mechanism of affective control. The role of top-down processes in affective appraisal and, finally, the experience of ongoing emotional states is also discussed.

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The Role of Distress Disclosure Tendencies in the Experience and Expression of Laboratory-Induced Sadness

Journal of Individual Differences ◽

10.1027/1614-0001/a000222 ◽

2017 ◽

Vol 38 (1) ◽

pp. 55-62 ◽

Cited By ~ 1

Author(s):

Jeffrey H. Kahn ◽

Daniel W. Cox ◽

A. Myfanwy Bakker ◽

Julia I. O’Loughlin ◽

Agnieszka M. Kotlarczyk

Keyword(s):

Individual Differences ◽

Emotional Reactivity ◽

Subjective Experience ◽

Negative Emotion ◽

Theoretical Models ◽

Laboratory Research ◽

Emotion Words ◽

Distress Disclosure ◽

Computerized Text Analysis

Abstract. The benefits of talking with others about unpleasant emotions have been thoroughly investigated, but individual differences in distress disclosure tendencies have not been adequately integrated within theoretical models of emotion. The purpose of this laboratory research was to determine whether distress disclosure tendencies stem from differences in emotional reactivity or differences in emotion regulation. After completing measures of distress disclosure tendencies, social desirability, and positive and negative affect, 84 participants (74% women) were video recorded while viewing a sadness-inducing film clip. Participants completed post-film measures of affect and were then interviewed about their reactions to the film; these interviews were audio recorded for later coding and computerized text analysis. Distress disclosure tendencies were not predictive of the subjective experience of emotion, but they were positively related to facial expressions of sadness and happiness. Distress disclosure tendencies also predicted judges’ ratings of the verbal disclosure of emotion during the interview, but self-reported disclosure and use of positive and negative emotion words were not associated with distress disclosure tendencies. The authors present implications of this research for integrating individual differences in distress disclosure with models of emotion.

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