Evidence map›Paper›PMID 41693254›Full record

ArticlePsychophysiology2026

Acoustic Features of Emotional Vocalizations Account for Early Modulations of Event-Related Brain Potentials.

Yichen Tang, Paul M Corballis, Luke E Hallum

Abstract read
In one paragraph

Article in Psychophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yichen TangDepartment of Mechanical Engineering, University of Auckland, Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-9081-2736
Paul M CorballisSchool of Psychology, University of Auckland, Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-9699-3999
Luke E HallumDepartment of Mechanical Engineering, University of Auckland, Auckland, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emotion is key to human communication, and inferring emotion in a speaker's voice is a cross-cultural and cross-linguistic capability. Electroencephalography (EEG) studies of neural mechanisms supporting emotion perception have reported that early components of the event-related potential (ERP) are modulated by emotion. However, the nature of emotion's effect, especially on the P200 component, is disputed. We hypothesized that early acoustic features of emotional utterances might account for ERP modulations previously attributed to emotion. We recorded multi-channel EEG from healthy participants (n = 30) tasked with recognizing the emotion of utterances. We used 50 vocalizations in five emotions-anger, happiness, neutral, sadness and pleasure-drawn from the Montreal Affective Voices dataset. We statistically quantified instantaneous associations between ERP amplitudes, emotion categories, and acoustic features, specifically, intensity, pitch, first formant, and second formant. We found that shortly after utterance onset (120-250 ms, i.e., P200, early P300) ERP amplitude for sad vocalizations was less than for other emotional categories. Moreover, ERP amplitude at around 180 ms for happy vocalization was less than for anger, sadness, and pleasure. Our analysis showed that acoustic intensity explains most of these early-latency effects. We also found that, at longer latency (220-500 ms; late P200, P300) ERP amplitude for neutral vocalizations was less than for other emotional categories. Furthermore, there were also ERP differences between anger and happiness, anger and pleasure, anger and sadness, happiness and pleasure, as well as happiness and sadness in shorter windows during this late period. Acoustic pitch and, to a lesser degree, acoustic intensity explain most of these later effects. We conclude that acoustic features can account for early ERP modulations evoked by emotional utterances. Because previous studies used a variety of stimuli, our result likely resolves previous disputes on emotion's effect on P200.

Indexed as

EmotionsEvoked PotentialsAdultElectroencephalographyFemaleHumansMaleYoung AdultEEGemotionERPintensitypitchvocalization

Identifiers

PMID41693254
PMCPMC12907613

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.