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Discrete Neural Signatures of Basic Emotions

Saarimäki, Heini
Gotsopoulos, Athanasios
Jääskeläinen, Iiro P
Lampinen, Jouko
Hari, Riitta
Sams, Mikko
Nummenmaa, Lauri
Published in Cerebral Cortex. 2016, vol. 26, no. 6, p. 2563-2573
Abstract Categorical models of emotions posit neurally and physiologically distinct human basic emotions. We tested this assumption by using multivariate pattern analysis (MVPA) to classify brain activity patterns of 6 basic emotions (disgust, fear, happiness, sadness, anger, and surprise) in 3 experiments. Emotions were induced with short movies or mental imagery during functional magnetic resonance imaging. MVPA accurately classified emotions induced by both methods, and the classification generalized from one induction condition to another and across individuals. Brain regions contributing most to the classification accuracy included medial and inferior lateral prefrontal cortices, frontal pole, precentral and postcentral gyri, precuneus, and posterior cingulate cortex. Thus, specific neural signatures across these regions hold representations of different emotional states in multimodal fashion, independently of how the emotions are induced. Similarity of subjective experiences between emotions was associated with similarity of neural patterns for the same emotions, suggesting a direct link between activity in these brain regions and the subjective emotional experience.
Keywords AdultBrain/physiologyBrain Mapping/methodsEmotions/physiologyFemaleHumansImagination/physiologyMagnetic Resonance Imaging/methodsMaleMotion Perception/physiologyMultivariate AnalysisNeuropsychological TestsPattern RecognitionAutomated/methodsPhotic StimulationYoung Adult
PMID: 25924952
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Research group Neuropsychologie et neurologie comportementale (951)
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SAARIMÄKI, Heini et al. Discrete Neural Signatures of Basic Emotions. In: Cerebral Cortex, 2016, vol. 26, n° 6, p. 2563-2573. doi: 10.1093/cercor/bhv086 https://archive-ouverte.unige.ch/unige:111928

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Deposited on : 2018-12-05

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