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Empathy is usually conceived of as independent of the non-verbal behaviors which mediate its experience, though embodied cognition theory predicts that individual differences in action representation will affect empathic traits. The “Actions and Feelings Questionnaire” (AFQ) was designed to capture individual differences in self-awareness of own and others’ actions, particularly those associated with feelings, which we predicted would correlate with levels of empathic traits. A pilot 30-item questionnaire included items on perceptual sensitivity to action, imitation, action imagery, and gestural and facial expression. It was completed by a sample of 278 adults (mean age 21.2 years; 189 females, 89 males) along with the 15-item Empathic Quotient (EQ) Questionnaire. Total scores on the final 18-item questionnaire showed strong internal coherence (Cronbach’s alpha of 0.81) and test-retest reliability (ICC=0.88), marked effect of sex and highly significant correlation with EQ. The questionnaire was administered to participants in an fMRI study investigating the neural correlates of facial imitation. Total AFQ score correlated with activity in somatosensory cortex, insula, anterior cingulate, and visual cortex. The AFQ shows promise as a brief and simple self-report measure sensitive to variability in the self-awareness of actions associated with feelings. It suggests that much of the variability of empathic traits in typical populations is accounted for by variance in this capacity. We suggest that being more empathic really is about being “touchy-feely,” and this questionnaire provides a novel measure of action-based empathy.

Imitation is crucial for social learning, and so it is important to identify what determines between-subject variability in imitation fidelity. This might help explain what makes some people, like those with social difficulties such as in autism spectrum disorder (ASD), significantly worse at performance on these tasks than others. A novel paradigm was developed to provide objective measures of imitation fidelity in which participants used a touchscreen to imitate videos of a model drawing different shapes. Comparisons between model and participants' kinematic data provided three measures of imitative fidelity. We hypothesized that imitative ability would predict variation in BOLD signal whilst performing a simple imitation task in the MRI-scanner. In particular, an overall measure of accuracy (correlation between model and imitator) would predict activity in the overarching imitation system, whereas bias would be subject to more general aspects of motor control. Participants lying in the MRI-scanner were instructed to imitate different grips on a handle, or to watch someone or a circle moving the handle. Our hypothesis was partly confirmed as correlation between model and imitator was mediated by somatosensory cortex but also ventromedial prefrontal cortex, and bias was mediated mainly by cerebellum but also by the medial frontal and parietal cortices and insula. We suggest that this variance differentially reflects cognitive functions such as feedback-sensitivity and reward-dependent learning, contributing significantly to variability in individuals' imitative abilities as characterized by objective kinematic measures.

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