Converging Evidence for the Advantage of Dynamic Facial Expressions
Neuroimaging evidence suggests that dynamic facial expressions elicit greater activity than static face stimuli in brain structures associated with social cognition, interpreted as greater ecological validity. However, a quantitative meta-analysis of brain activity associated with dynamic facial expressions is lacking. The current study investigated, using three fMRI experiments, activity elicited by (a) dynamic and static happy faces, (b) dynamic and static happy and angry faces, and (c) dynamic faces and dynamic flowers. In addition, using activation likelihood estimate (ALE) meta-analysis, we determined areas concordant across published studies that (a) used dynamic faces and (b) specifically compared dynamic and static emotional faces. The middle temporal gyri (Experiment 1) and superior temporal sulci (STS; Experiment 1 and 2) were more active for dynamic than static faces. In contrasts with the baseline the amygdalae were more active for dynamic faces (Experiment 1 and 2) and the fusiform gyri were active for all conditions (all Experiments). The ALE meta-analyses revealed concordant activation in all of these regions as well as in areas associated with cognitive manipulations (inferior frontal gyri). Converging data from the experiments and the meta-analyses suggest that dynamic facial stimuli elicit increased activity in regions associated with interpretation of social signals and emotional processing.
KeywordsDynamic facial expressions Facial motion fMRI ALE meta-analysis
We thank Dr. Sarah Bayless for creating the dynamic stimuli. This work was supported by a CIHR grant to MJT (MOP-81161).
- Christoff K, Gabrieli JDE (2000) The frontopolar cortex and human cognition: evidence for a rostrocaudal hierarchical organization within the human prefrontal cortex. Psychobiology 28:168–186Google Scholar
- Ekman P, Friesen WV (1976) Pictures of facial affect. Consulting Psychologist Press, Palo Alto, CAGoogle Scholar
- Fusar-Poli P, Placentino A, Carletti F, Landi P, Allen P, Surguladze S, Benedetti F, Abbamonte M, Gasparotti R, Barale F, Perez J, McGuire P, Politi P (2009) Functional atlas of emotional faces processing: a voxel-based meta-analysis of 105 functional magnetic resonance imaging studies. J Psychiat Neurosci 34(6):418–432Google Scholar
- Kozel NJ, Gitter GA (1968) Perception of emotion: differences in mode of presentation, sex of perceiver, and race of expressor. CRC Report 18:1–61Google Scholar
- Lee LC, Andrews TJ, Johnson SJ, Woods W, Gouws A, Green GGR, Young AW (2010) Neural responses to rigidly moving faces displaying shifts in social attention investigated with fMRI and MEG. Neuropsychologia 48:447–490Google Scholar
- Movshon JA, Adelson EH, Gizzi MS, Newsome WT (1985) The analysis of moving visual patterns. In: Chagas C, Gattass R, Gross C (eds) Pattern recognition mechanisms. Pontificiae Academiae Scientiarum Scripta Varia 54, pp 117–151Google Scholar
- Petrides M (1996) Lateral frontal cortical contribution to memory. Neurosciences 8:57–63Google Scholar
- Talairach J, Tournoux P (1988) Co-planar stereotactic atlas of the human brain. Thieme, New YorkGoogle Scholar
- Ungerleider LG, Mishkin M (1982) Two cortical visual systems. In: Ingle DJ, Goodale MA, Mansfield RJW (eds) Analysis of visual behavior. MIT Press, Cambridge, MA, pp 549–586Google Scholar
- Wolfe JM (2007) Guided search 4.0: current progress with a model of visual search. In: Gray W (ed) Integrated models of cognitive systems. Oxford, New York, pp 99–119Google Scholar