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Human brain EEG indices of emotions: delineating responses to affective vocalizations by measuring frontal theta event-related synchronization
Journal article   Peer reviewed

Human brain EEG indices of emotions: delineating responses to affective vocalizations by measuring frontal theta event-related synchronization

Marni Y V Bekkedal, Jaak Panksepp and John Rossi III
Neuroscience and biobehavioral reviews, Vol.35(9), pp.1959-1970
10-2011
PMID: 21596060

Abstract

Affect - physiology Alpha Rhythm - physiology Brain - physiology Communication Consciousness - physiology Cortical Synchronization - physiology Data Interpretation, Statistical Emotions - physiology Female Humans Male Theta Rhythm - physiology Young Adult Algorithms Electroencephalography
At present there is no direct brain measure of basic emotional dynamics from the human brain. EEG provides non-invasive approaches for monitoring brain electrical activity to emotional stimuli. Event-related desynchronization/synchronization (ERD/ERS) analysis, based on power shifts in specific frequency bands, has some potential as a method for differentiating responses to basic emotions as measured during brief presentations of affective stimuli. Although there appears to be fairly consistent theta ERS in frontal regions of the brain during the earliest phases of processing affective auditory stimuli, the patterns do not readily distinguish between specific emotions. To date it has not been possible to consistently differentiate brain responses to emotion-specific affective states or stimuli, and some evidence to suggests the theta ERS more likely measures general arousal processes rather than yielding veridical indices of specific emotional states. Perhaps cortical EEG patterns will never be able to be used to distinguish discrete emotional states from the surface of the brain. The implications and limitations of such approaches for understanding human emotions are discussed.

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