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 exp...

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Published inBrain topography Vol. 24; no. 2; pp. 149 - 163
Main Authors Arsalidou, Marie, Morris, Drew, Taylor, Margot J.
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.06.2011
Springer Nature B.V
Subjects
Online AccessGet full text
ISSN0896-0267
1573-6792
1573-6792
DOI10.1007/s10548-011-0171-4

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Abstract 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.
AbstractList 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.
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.[PUBLICATION ABSTRACT]
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.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.
Author Taylor, Margot J.
Morris, Drew
Arsalidou, Marie
Author_xml – sequence: 1
  givenname: Marie
  surname: Arsalidou
  fullname: Arsalidou, Marie
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  givenname: Drew
  surname: Morris
  fullname: Morris, Drew
  organization: Diagnostic Imaging and Neurosciences & Mental Health, Research Institute, Hospital for Sick Children, University of Toronto
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  givenname: Margot J.
  surname: Taylor
  fullname: Taylor, Margot J.
  organization: Diagnostic Imaging and Neurosciences & Mental Health, Research Institute, Hospital for Sick Children, University of Toronto
BackLink https://www.ncbi.nlm.nih.gov/pubmed/21350872$$D View this record in MEDLINE/PubMed
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Snippet Neuroimaging evidence suggests that dynamic facial expressions elicit greater activity than static face stimuli in brain structures associated with social...
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StartPage 149
SubjectTerms Adult
Biomedical and Life Sciences
Biomedicine
Brain - physiology
Brain Mapping - methods
Emotions - physiology
Evidence-Based Medicine - methods
Facial Expression
Female
Humans
Magnetic Resonance Imaging - methods
Male
Meta-Analysis as Topic
Neurology
Neurosciences
Original Paper
Pattern Recognition, Visual - physiology
Photic Stimulation - methods
Psychiatry
Social Behavior
Systematic review
Young Adult
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Title Converging Evidence for the Advantage of Dynamic Facial Expressions
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https://www.ncbi.nlm.nih.gov/pubmed/21350872
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