Amygdala and heart rate variability responses from listening to emotionally intense parts of a story

Wallentin, Mikkel; Højlund, Andreas; Vuust, Peter; Dohn, Anders; Roepstorff, Andreas; Lund, Torben Ellegaard

doi:10.1016/j.neuroimage.2011.06.077

Cited by 127 publications

(91 citation statements)

References 95 publications

(116 reference statements)

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“…For example, in a study by Wallentin et al (2011), participants listened to a story of which each line had been rated on emotional intensity while their heart rate was being measured. A positive correlation was found between emotionally intense parts of the story and participants’ heart rate variability, reflecting an increased emotional response during the processing of emotion-laden story parts.…”

Section: Multidimensional Linguistic Cues Frameworkmentioning

confidence: 99%

Evoking and Measuring Identification with Narrative Characters – A Linguistic Cues Framework

2017

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Current research on identification with narrative characters poses two problems. First, although identification is seen as a dynamic process of which the intensity varies during reading, it is usually measured by means of post-reading questionnaires containing self-report items. Second, it is not clear which linguistic characteristics evoke identification. The present paper proposes that an interdisciplinary framework allows for more precise manipulations and measurements of identification, which will ultimately advance our understanding of the antecedents and nature of this process. The central hypothesis of our Linguistic Cues Framework is that identification with a narrative character is a multidimensional experience for which different dimensions are evoked by different linguistic cues. The first part of the paper presents a literature review on identification, resulting in a renewed conceptualization of identification which distinguishes six dimensions: a spatiotemporal, a perceptual, a cognitive, a moral, an emotional, and an embodied dimension. The second part argues that each of these dimensions is influenced by specific linguistic cues which represent various aspects of the narrative character’s perspective. The proposed relations between linguistic cues and identification dimensions are specified in six propositions. The third part discusses what psychological and neurocognitive methods enable the measurement of the various identification dimensions in order to test the propositions. By establishing explicit connections between the linguistic characteristics of narratives and readers’ physical, psychological, and neurocognitive responses to narratives, this paper develops a research agenda for future empirical research on identification with narrative characters.

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Section: Multidimensional Linguistic Cues Frameworkmentioning

confidence: 99%

Evoking and Measuring Identification with Narrative Characters – A Linguistic Cues Framework

2017

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“…Specifically, the medial prefrontal cortex is involved in emotional self-awareness, playing a key role in complex aspects of emotional processing, such as social interaction [124]. The amygdala is associated with the perception of emotion, specifically faces [118] and emotional arousing effects [125][126][127][128].…”

Section: Cerebellar Involvement In the Conscious Component Of Emotionsmentioning

confidence: 99%

The Role of the Cerebellum in Unconscious and Conscious Processing of Emotions: A Review

et al. 2017

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Abstract:Studies from the past three decades have demonstrated that there is cerebellar involvement in the emotional domain. Emotional processing in humans requires both unconscious and conscious mechanisms. A significant amount of evidence indicates that the cerebellum is one of the cerebral structures that subserve emotional processing, although conflicting data has been reported on its function in unconscious and conscious mechanisms. This review discusses the available clinical, neuroimaging, and neurophysiological data on this issue. We also propose a model in which the cerebellum acts as a mediator between the internal state and external environment for the unconscious and conscious levels of emotional processing.

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“…However, studying functional connectivity changes unfolding during prolonged naturalistic emotional stimulation such as spoken narrative provides an elegant solution to this problem. Spoken narratives elicit strong, time-variable emotional reactions, whose time series can be accurately tracked (Wallentin et al, 2011). Because our recently introduced dynamic connectivity analysis techniques can take into account the entire time-dependent response profile rather than the mere magnitude of specific response modulation (Glerean et al, 2012), they can be used for modelling the effects of the aforementioned changes in emotion states on large-scale, dynamic connectivity changes.…”

Section: Introductionmentioning

confidence: 99%

Emotional speech synchronizes brains across listeners and engages large-scale dynamic brain networks

et al. 2014

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Speech provides a powerful means for sharing emotions. Here we implement novel intersubject phase synchronization and whole-brain dynamic connectivity measures to show that networks of brain areas become synchronized across participants who are listening to emotional episodes in spoken narratives. Twenty participants' hemodynamic brain activity was measured with functional magnetic resonance imaging (fMRI) while they listened to 45-s narratives describing unpleasant, neutral, and pleasant events spoken in neutral voice. After scanning, participants listened to the narratives again and rated continuously their feelings of pleasantness–unpleasantness (valence) and of arousal–calmness. Instantaneous intersubject phase synchronization (ISPS) measures were computed to derive both multi-subject voxel-wise similarity measures of hemodynamic activity and inter-area functional dynamic connectivity (seed-based phase synchronization, SBPS). Valence and arousal time series were subsequently used to predict the ISPS and SBPS time series. High arousal was associated with increased ISPS in the auditory cortices and in Broca's area, and negative valence was associated with enhanced ISPS in the thalamus, anterior cingulate, lateral prefrontal, and orbitofrontal cortices. Negative valence affected functional connectivity of fronto-parietal, limbic (insula, cingulum) and fronto-opercular circuitries, and positive arousal affected the connectivity of the striatum, amygdala, thalamus, cerebellum, and dorsal frontal cortex. Positive valence and negative arousal had markedly smaller effects. We propose that high arousal synchronizes the listeners' sound-processing and speech-comprehension networks, whereas negative valence synchronizes circuitries supporting emotional and self-referential processing.

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Amygdala and heart rate variability responses from listening to emotionally intense parts of a story

Cited by 127 publications

References 95 publications

Evoking and Measuring Identification with Narrative Characters – A Linguistic Cues Framework

Evoking and Measuring Identification with Narrative Characters – A Linguistic Cues Framework

The Role of the Cerebellum in Unconscious and Conscious Processing of Emotions: A Review

Emotional speech synchronizes brains across listeners and engages large-scale dynamic brain networks

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