Culture modulates the brain response to human expressions of emotion: Electrophysiological evidence

Liu, Pan; Rigoulot, Simon; Pell, Marc D.

doi:10.1016/j.neuropsychologia.2014.11.034

Cited by 64 publications

(85 citation statements)

References 74 publications

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“…These later cognitive stages have been tied to alterations in N300 (Bostanov & Kotchoubey, 2004) or N400 (Liu, Rigoulot, & Pell, 2015;Paulmann & Pell, 2010;Schirmer & Kotz, 2003) responses to non-linguistic and speech-embedded emotions, respectively, using priming or conflict paradigms that pair emotional voices with a related or unrelated stimulus (word or face). Recent data have also linked ongoing semantic analysis of vocal emotion expressions to changes in the Late Positive Component (LPC), which exhibits differences according to emotion type (Jessen & Kotz, 2011;Paulmann et al, 2013;Schirmer et al, 2013).…”

Section: Erp Studies Of Vocal Emotion Expressionsmentioning

confidence: 99%

“…Differences in cultural background (Liu et al, 2015), social orientation (Ishii et al, 2010), and neuroticism (Brück et al, 2011) are known to alter neural responses to emotional auditory stimuli, and there are growing indications in the literature that cognitive biases present in highly anxious individuals promote differential sensitivity to the type and quality of vocal emotion cues they encounter (Kreifelts et al, 2014;Martin-Soelch et al, 2006;Peschard et al, 2014;Schirmer & Escoffier, 2010). To build on these insights, NOT THE FINAL VERSION we therefore monitored the relationship between core measures of (state or trait) anxiety and personality characteristics of our participants in the context of processing emotional vocalizations and emotional speech.…”

Section: Not the Final Versionmentioning

confidence: 99%

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Preferential decoding of emotion from human non-linguistic vocalizations versus speech prosody

Pell

Rothermich

Liu

et al. 2015

Biological Psychology

163

134

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This study used event-related brain potentials (ERPs) to compare the time course of emotion processing from non-linguistic vocalizations versus speech prosody, to test whether vocalizations are treated preferentially by the neurocognitive system. Participants passively listened to vocalizations or pseudo-utterances conveying anger, sadness, or happiness as the EEG was recorded. Simultaneous effects of vocal expression type and emotion were analyzed for three ERP components (N100, P200, Late Positive Component). Emotional vocalizations and speech were differentiated very early (N100) and vocalizations elicited stronger, earlier, and more differentiated P200 responses than speech. At later stages (450-700ms), anger vocalizations evoked a stronger late positivity (LPC) than other vocal expressions, which was similar but delayed for angry speech.Individuals with high trait anxiety exhibited early, heightened sensitivity to vocal emotions (particularly vocalizations). These data provide new neurophysiological evidence that vocalizations, as evolutionarily primitive signals, are accorded precedence over speech-embedded emotions in the human voice.

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Section: Erp Studies Of Vocal Emotion Expressionsmentioning

confidence: 99%

Section: Not the Final Versionmentioning

confidence: 99%

Preferential decoding of emotion from human non-linguistic vocalizations versus speech prosody

Pell

Rothermich

Liu

et al. 2015

Biological Psychology

163

134

View full text Add to dashboard Cite

show abstract

“…To show the constraint of culture on the decoding of non-verbal expressions, Liu et al [13] measured the brain responses with electroencephalograms when native Chinese and CanadianEnglish speakers judged the expression from pairs of a pseudo-utterance and a face. Culture constrains the ways of encoding non-verbal expression in the voice and the face, and may consequently impact how our brain decodes certain expressions from multiple modalities [14].…”

Section: Cross-linguistic and Cross-cultural Differences In Language mentioning

confidence: 99%

“…[13]). The rationale for these comparisons is that if cultural learning affects the listener's decoding of non-verbal expressions, the pattern of the behavioural or neural response of the immigrant group (who has been exposed to the Canadian-English culture for at least 6 years) should show resemblance to Canadian-English groups.…”

Section: Language Proficiency and Cultural Immersion Impact Language Usementioning

confidence: 99%

Experimental Approaches to Socio‐Linguistics: Usage and Interpretation of Non‐Verbal and Verbal Expressions in Cross‐ Cultural Communication

Jiang¹

2017

Sociolinguistics - Interdisciplinary Perspectives

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Social context shapes our behavior in interpersonal communication. In this chapter, I will address how experimental psychology contributes to the study of socio-linguistic processes, focusing on nonverbal and verbal processing in a cross-cultural or crosslinguistic communicative setting. A systematic review of the most up-to-date empirical studies will show: 1) the culturally-universal and culturally-specific encoding of emotion in speech. The acoustic cues that are commonly involved in discriminating basic emotions in vocal expressions across languages and the cross-linguistic variations in such encoding will be demonstrated; 2) the modulation of in-group and outgroup status (e.g. inferred from speaker's dialect, familiarity towards a language) on the encoding and decoding of speaker's meaning; 3) the impact of cultural orientation and cultural learning on the interpretation of social and affective meaning, focusing on how immigration process shapes one's language use and comprehension. I will highlight the significance of combining the research paradigms from experimental psychology with cognitive (neuro)science methodologies such as electrophysiological recording and functional magnetic resonance imaging, to address the relevant questions in crosscultural communicative settings. The chapter is concluded by a future direction to study the socio-cultural bases of language and linguistic underpinnings of cultural behaviour.

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“…In a recent EEG study, native North-American English and Chinese speakers were asked to detect the emotion of the vocal or facial expression in a voice-face pair [25]. The emotional information between the voice and face was either congruent or incongruent.…”

Section: Vocal Emotion Decoding Is Also Characterized According To Thmentioning

confidence: 99%

Tracking the Sound of Human Affection: EEG Signals Reveal Online Decoding of Socio-Emotional Expression in Human Speech and Voice

Jiang¹

2017

Emotion and Attention Recognition Based on Biological Signals and Images

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This chapter provides a perspective from the latest EEG evidence in how brain signals enlighten the neurophysiological and neurocognitive mechanisms underlying the recognition of socioemotional expression conveyed in human speech and voice, drawing upon event-related potentials' studies (ERPs). Human sound can encode emotional meanings by diferent vocal parameters in words, real-vs. pseudo-speeches, and vocalizations. Based on the ERP indings, recent development of the three-stage model in vocal processing has highlighted initial-and late-stage processing of vocal emotional stimuli. These processes, depending on which ERP components they were mapped onto, can be divided into the acoustic analysis, relevance and motivational processing, ine-grained meaning analysis/integration/access, and higher-level social inference, as the unfolding of the time scale. ERP studies on vocal socioemotions, such as happiness, anger, fear, sadness, neutral, sincerity, conidence, and sarcasm in the human voice and speech have employed diferent experimental paradigms such as crosssplicing, crossmodality priming, oddball, stroop, etc. Moreover, task demand and listener characteristics afect the neural responses underlying the decoding processes, revealing the role of atention deployment and interpersonal sensitivity in the neural decoding of vocal emotional stimuli. Cultural orientation afects our ability to decode emotional meaning in the voice. Neurophysiological paterns were compared between normal and abnormal emotional processing in the vocal expressions, especially in schizophrenia and in congenital amusia. Future directions highlight the study on human vocal expression aligning with other nonverbal cues, such as facial and body language, and the need to synchronize listener's brain potentials with other peripheral measures.

show abstract

Culture modulates the brain response to human expressions of emotion: Electrophysiological evidence

Cited by 64 publications

References 74 publications

Preferential decoding of emotion from human non-linguistic vocalizations versus speech prosody

Preferential decoding of emotion from human non-linguistic vocalizations versus speech prosody

Experimental Approaches to Socio‐Linguistics: Usage and Interpretation of Non‐Verbal and Verbal Expressions in Cross‐ Cultural Communication

Tracking the Sound of Human Affection: EEG Signals Reveal Online Decoding of Socio-Emotional Expression in Human Speech and Voice

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