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Our brains can integrate emotional signals from visual and auditory modalities, which is important for our daily social interactions and survival. Although behavioral effects of facilitation or interference of visual and auditory affective signals have been widely demonstrated, the underlying neural substrates remain unclear. We identified brain activation related to audiovisual affective processing at a whole-brain level in healthy adults with a quantitative coordinate-based meta-analysis, combining data from 306 participants across 18 neuroimaging studies. The meta-analysis identified a core audiovisual affective processing network including the right posterior superior temporal gyrus (pSTG/STS), left anterior superior temporal gyrus (aSTG/STS), right amygdala, and thalamus. These results support the involvement of STG/STS but not sensory-specific brain regions in audiovisual affective processing, consistent with the supramodal hypothesis. To further characterize these identified regions with regard to their connectivity and function, we conducted meta-analytic connectivity modeling and automated meta-analyses. Across both analyses, results showed co-activation profiles of the identified brain regions and their associations with emotion and audiovisual processes. These findings revealed the brain basis of audiovisual affective processing and can help guide future research in further examining its neural correlates.
Pubmed ID: 31255920
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Platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles. It''s a website wrapped around a set of open-source Python and JavaScript packages. Neurosynth lets you run crude but useful analyses of fMRI data on a very large scale. You can: * Interactively visualize the results of over 3,000 term-based meta-analyses * Select specific locations in the human brain and view associated terms * Browse through the nearly 10,000 studies in the database Their ultimate goal is to enable dynamic real-time analysis, so that you''ll be able to select foci, tables, or entire studies for analysis and run a full-blown meta-analysis without leaving your browser. You''ll also be able to do things like upload entirely new images and obtain probabilistic estimates of the cognitive states most likely to be associated with the image.
View all literature mentionsSoftware available from brainmap.org to perform meta-analyses via the activation likelihood estimation (ALE) method. It also includes the transforms for icbm2tal conversions.
View all literature mentions