A capability model of individual differences in frontal EEG asymmetry

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Abstract

Researchers interested in measuring individual differences in affective style via asymmetries in frontal brain activity have depended almost exclusively upon the resting state for EEG recording. This reflects an implicit conceptualization of affective style as a response predisposition that is manifest in frontal EEG asymmetry, with the goal to describe individuals in terms of their general approach or withdrawal tendencies. Alternatively, the response capability conceptualization seeks to identify individual capabilities for approach versus withdrawal responses during emotionally salient events. The capability approach confers a variety of advantages to the study of affective style and personality, and suggests new possibilities for the approach/withdrawal motivational model of frontal EEG asymmetry and emotion. Logical as well as empirical arguments supportive of this conclusion are presented.

Section snippets

Frontal EEG asymmetry: trait or state?

Little is known about the degree to which frontal EEG asymmetries represent variance attributable to individuals (traits) versus specific emotional or cognitive states. “Resting” measures do show evidence of trait-like heritability (Coan, 2003), and have been associated with measures of temperament, mental health, emotional reactivity, and stress hormones (Coan and Allen, 2004). Others have confirmed that frontal EEG asymmetries show “acceptable” levels of test–retest reliability (Allen et al.,

Approach and hypotheses

The capability model suggests the following hypotheses: (1) individual differences will be more pronounced during emotional challenges than during “resting” tasks; (2) individual differences will be more resistant to measurement error during emotional challenges than during “resting” tasks; (3) individual differences will show stronger relationships with important criterion variables if measured during emotional challenges than during “resting” tasks; and (4) individual differences derived from

Overview

A detailed description of the methods of this study is provided in Coan et al. (2001); an abbreviated description is provided here with information relevant to the analyses of this particular report.

Participants

Thirty-six introductory psychology students served as participants (10 male, 26 female). All participants were strongly right handed (scoring over 35 on the 39 point scale; Chapman and Chapman, 1987), because asymmetries in hemispheric activity may be a function of handedness (see Bryden, 1982).

Individuals and conditions

Using data collected during various experimental conditions, a G-theory model consisting of factors attributable to individual, condition (rest, anger, disgust, fear, joy and sadness) and reference scheme (average, Cz and linked mastoid) was estimated. As summarized in Table 1, stable individual differences accounted for approximately 26% of the variance across all conditions, while conditions per se accounted for approximately 5%. Small contributors included reference scheme (1%) and the

Discussion

In line with the study hypotheses stated above, these results suggest that (1) individual differences in frontal EEG asymmetries are indeed more pronounced during emotional challenges than during “resting” tasks; (2) individual differences in frontal EEG asymmetries are more resistant to undesirable variance attributable to reference scheme (our proxy for measurement error) during emotional challenges than during “resting” tasks; and (3) individual differences in frontal EEG asymmetry recorded

Conclusion

To date, the literature on individual differences in frontal EEG asymmetry has, perhaps unwittingly, supported the analogy trait is to state as rest is to experimental manipulation. Results reported here suggest this analogy is incomplete at best, and potentially limiting at worst. If the capability model is correct, and this remains to be fully evaluated, then the best conditions under which to reliably measure individual differences in frontal EEG asymmetry may be during various emotional

Acknowledgements

This work was partially supported by a Young Investigator award from NARSAD (John Allen) and a Graduate Research Fellowship from the National Science Foundation (James Coan).

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