2019
DOI: 10.1002/hbm.24629
|Get access via publisher |Summarize |Cite
|
Sign up to set email alerts

Widespread and lateralized social brain activity for processing dynamic facial expressions

Abstract: Dynamic facial expressions of emotions constitute natural and powerful means of social communication in daily life. A number of previous neuroimaging studies have explored the neural mechanisms underlying the processing of dynamic facial expressions, and indicated the activation of certain social brain regions (e.g., the amygdala) during such tasks. However, the activated brain regions were inconsistent across studies, and their laterality was rarely evaluated. To investigate these issues, we measured brain ac… Show more

Search citation statements

Order By: Relevance

Paper Sections

Select...
31
11
6
5

Citation Types

5
33
0
1

Year Published

Range
2012
2012
2026
2026

Publication Types

Select...
32
7
4
1

Relationship

6
38

Authors

Journals

citations

Cited by 44 publications

(39 citation statements)
references

References 165 publications

5
33
0
1
Order By: Relevance
How this paper cites the one you are viewing
“…The contrast [dynamic face > dynamic mosaic] was compatible with the results of a previous study using more stimulus blocks (Sato et al, 2019). Significant clusters included the bilateral amygdala, right posterior temporal cortex including the fusiform gyrus, and the mentalizing network including the aTL, mPFC, and PCC (Supplementary Table S2, Fig.…”
Section: Results
supporting
confidence: 88%
“…We analyzed the functional localizer task for dynamic facial expression processing using a GLM containing two psychological regressors of interest, the "dynamic face" and "dynamic mosaic" conditions. The contrast of [dynamic face > dynamic mosaic] was compatible with results in a previous study using more stimulus blocks 27 . Significant clusters included bilateral amygdala, right posterior temporal cortex including the fusiform gyrus, and the mentalizing network, such as the right anterior temporal lobe (aTL), mPFC, and PCC (Supplementary Table S2, Fig.…”
Section: Dynamic Causal Modeling
supporting
confidence: 89%
See 1 more Smart Citation