Reexamining the neural network involved in perception of facial expression: A meta-analysis
Authors: Liu, M., Liu, C.H., Zheng, S., Zhao, K. and Fu, X.
Journal: Neuroscience and Biobehavioral Reviews
Volume: 131
Pages: 179-191
eISSN: 1873-7528
ISSN: 0149-7634
DOI: 10.1016/j.neubiorev.2021.09.024
Abstract:Perception of facial expression is essential for social interactions. Although a few competing models have enjoyed some success to map brain regions, they are also facing difficult challenges. The current study used an updated activation likelihood estimation (ALE) method of meta-analysis to explore the involvement of brain regions in facial expression processing. The sample contained 96 functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) studies of healthy adults with the results of whole-brain analyses. The key findings revealed that the ventral pathway, especially the left fusiform face area (FFA) region, was more responsive to facial expression. The left posterior FFA showed strong involvement when participants passively viewing emotional faces without being asked to judge the type of expression or other attributes of the stimuli. Through meta-analytic connectivity modeling (MACM) of the main brain regions in the ventral pathway, we constructed a co-activating neural network as a revised model of facial expression processing that assigns prominent roles to the amygdala, FFA, the occipital gyrus, and the inferior frontal gyrus.
https://eprints.bournemouth.ac.uk/36063/
Source: Scopus
Reexamining the neural network involved in perception of facial expression: A meta-analysis.
Authors: Liu, M., Liu, C.H., Zheng, S., Zhao, K. and Fu, X.
Journal: Neurosci Biobehav Rev
Volume: 131
Pages: 179-191
eISSN: 1873-7528
DOI: 10.1016/j.neubiorev.2021.09.024
Abstract:Perception of facial expression is essential for social interactions. Although a few competing models have enjoyed some success to map brain regions, they are also facing difficult challenges. The current study used an updated activation likelihood estimation (ALE) method of meta-analysis to explore the involvement of brain regions in facial expression processing. The sample contained 96 functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) studies of healthy adults with the results of whole-brain analyses. The key findings revealed that the ventral pathway, especially the left fusiform face area (FFA) region, was more responsive to facial expression. The left posterior FFA showed strong involvement when participants passively viewing emotional faces without being asked to judge the type of expression or other attributes of the stimuli. Through meta-analytic connectivity modeling (MACM) of the main brain regions in the ventral pathway, we constructed a co-activating neural network as a revised model of facial expression processing that assigns prominent roles to the amygdala, FFA, the occipital gyrus, and the inferior frontal gyrus.
https://eprints.bournemouth.ac.uk/36063/
Source: PubMed
Reexamining the neural network involved in perception of facial expression: A meta-analysis
Authors: Liu, M., Liu, C.H., Zheng, S., Zhao, K. and Fu, X.
Journal: NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
Volume: 131
Pages: 179-191
eISSN: 1873-7528
ISSN: 0149-7634
DOI: 10.1016/j.neubiorev.2021.09.024
https://eprints.bournemouth.ac.uk/36063/
Source: Web of Science (Lite)
Reexamining the neural network involved in perception of facial expression: A meta-analysis.
Authors: Liu, M., Liu, C.H., Zheng, S., Zhao, K. and Fu, X.
Journal: Neuroscience and biobehavioral reviews
Volume: 131
Pages: 179-191
eISSN: 1873-7528
ISSN: 0149-7634
DOI: 10.1016/j.neubiorev.2021.09.024
Abstract:Perception of facial expression is essential for social interactions. Although a few competing models have enjoyed some success to map brain regions, they are also facing difficult challenges. The current study used an updated activation likelihood estimation (ALE) method of meta-analysis to explore the involvement of brain regions in facial expression processing. The sample contained 96 functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) studies of healthy adults with the results of whole-brain analyses. The key findings revealed that the ventral pathway, especially the left fusiform face area (FFA) region, was more responsive to facial expression. The left posterior FFA showed strong involvement when participants passively viewing emotional faces without being asked to judge the type of expression or other attributes of the stimuli. Through meta-analytic connectivity modeling (MACM) of the main brain regions in the ventral pathway, we constructed a co-activating neural network as a revised model of facial expression processing that assigns prominent roles to the amygdala, FFA, the occipital gyrus, and the inferior frontal gyrus.
https://eprints.bournemouth.ac.uk/36063/
Source: Europe PubMed Central
Reexamining the Neural Network Involved in Perception of Facial Expression: A Meta-analysis.
Authors: Liu, M., Liu, C.H., Zheng, S., Zhao, K. and Fu, X.
Journal: Neuroscience & Biobehavioral Reviews
Volume: 131
Issue: December
Pages: 179-191
ISSN: 0149-7634
Abstract:Perception of facial expression is essential for social interactions. Although a few competing models have enjoyed some success to map brain regions, they are also facing difficult challenges. The current study used an updated activation likelihood estimation (ALE) method of meta-analysis to explore the involvement of brain regions in facial expression processing. The sample contained 96 functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) studies of healthy adults with the results of whole-brain analyses. The key findings revealed that the ventral pathway, especially the left fusiform face area (FFA) region, was more responsive to facial expression. The left posterior FFA showed strong involvement when participants passively viewing emotional faces without being asked to judge the type of expression or other attributes of the stimuli. Through meta-analytic connectivity modeling (MACM) of the main brain regions in the ventral pathway, we constructed a co-activating neural network as a revised model of facial expression processing that assigns prominent roles to the amygdala, FFA, the occipital gyrus, and the inferior frontal gyrus.
https://eprints.bournemouth.ac.uk/36063/
Source: BURO EPrints