Autonomic specificity of basic emotions: Evidence from pattern classification and cluster analysis

Stephens, Chad L.; Christie, Israel C.; Friedman, Bruce H.

doi:10.1016/j.biopsycho.2010.03.014

Cited by 212Heart Rate Variability and Autonomic ControlEmotion and Mood RecognitionNeural and Behavioral Psychology Studies

Autonomic specificity of basic emotions: Evidence from pattern classification and cluster analysis

Stephens, Chad L., Christie, Israel C., Friedman, Bruce H.·2010·Biological Psychology

DOI 10.1016/j.biopsycho.2010.03.014

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Abstract

Autonomic nervous system (ANS) specificity of emotion remains controversial in contemporary emotion research, and has received mixed support over decades of investigation. This study was designed to replicate and extend psychophysiological research, which has used multivariate pattern classification analysis (PCA) in support of ANS specificity. Forty-nine undergraduates (27 women) listened to emotion-inducing music and viewed affective films while a montage of ANS variables, including heart rate variability indices, peripheral vascular activity, systolic time intervals, and electrodermal activity, were recorded. Evidence for ANS discrimination of emotion was found via PCA with 44.6% of overall observations correctly classified into the predicted emotion conditions, using ANS variables (z=16.05, p<.001). Cluster analysis of these data indicated a lack of distinct clusters, which suggests that ANS responses to the stimuli were nomothetic and stimulus-specific rather than idiosyncratic and individual-specific. Collectively these results further confirm and extend support for the notion that basic emotions have distinct ANS signatures.

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The same is true for studies that successfully created different patterns of autonomic physiology, despite using the same stimuli and experimental method, and sampling from the same population.
“The same is true for studies that successfully created different patterns of autonomic physiology, despite using the same stimuli and experimental method, and sampling from the same population (e.g. Stephens et al., 2010; Kragel and LaBar, 2013).”
From The theory of constructed emotion: an active inference account of interoception and categorization (2016) · cites this paper as Stephens et al., 2010

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Authors: Stephens, C. L., Christie, I. C., & Friedman, B. H.
Affiliations: Virginia Tech (US)
University of Pittsburgh (US)
Corresponding author: Friedman, Bruce H.
ORCID: Christie, Israel C.
Friedman, Bruce H.
Venue: Biological Psychology
Publisher: Elsevier BV
Published: 2010-07
Volume: 84
Issue: 3
Pages: 463-473
ISSN: 0301-0511 (ISSN-L)
DOI: 10.1016/j.biopsycho.2010.03.014
OpenAlex: W2112273791
Cited by: 209
References: 88
Citations by year: 2026: 4 · 2025: 24 · 2024: 5 · 2023: 5 · 2022: 16 · 2021: 9 · 2020: 17 · 2019: 18 · 2018: 13 · 2017: 11 · 2016: 15 · 2015: 15 · 2014: 16 · 2013: 12 · 2012: 11
FWCI: 8.56
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Biological Psychology (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords: autonomic nervous system, basic emotions, emotion specificity, heart rate variability, systolic time intervals, electrodermal activity, pattern classification
MeSH terms: Acoustic Stimulation, Adolescent, Adult, Autonomic Nervous System, Blood Pressure, Electrocardiography, Electroencephalography, Emotions, Female, Galvanic Skin Response, Heart Rate, Humans, Male, Motion Pictures, Music, Photic Stimulation, Predictive Value of Tests, Surveys and Questionnaires, Cluster Analysis, Principal Component Analysis, Young Adult, Self Report

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Autonomic specificity of basic emotions: Evidence from pattern classification and cluster analysis

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