Journal
NEUROIMAGE
Volume 243, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2021.118486
Keywords
Functional connectivity; Emotion; Human; Healthy; Causal connectivity; Effective connectivity; Dynamic causal modeling
Funding
- South London and Maudsley NHS Foundation Trust
- Institute of Psychiatry, Psychology and Neuroscience, King's College London
- Medical Re-search Council [MR/S006613/1]
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Existing models of emotion processing mainly rely on brain activation data, but assumptions about network connectivity need to be integrated. Studies on effective connectivity reveal context-dependent dynamic modulatory relationships, challenging purely top-down regulatory models.
Existing models of emotion processing are based almost exclusively on brain activation data, yet make assumptions about network connectivity. There is a need to integrate connectivity findings into these models. We systematically reviewed all studies of functional and effective connectivity employing tasks to investigate negative emotion processing and regulation in healthy participants. Thirty-three studies met inclusion criteria. A quality assessment tool was derived from prominent neuroimaging papers. The evidence supports existing models, with primarily limbic regions for salience and identification, and frontal areas important for emotion regulation. There was mixed support for the assumption that regulatory influences on limbic and sensory areas come predominantly from prefrontal areas. Rather, studies quantifying effective connectivity reveal contextdependent dynamic modulatory relationships between occipital, subcortical, and frontal regions, arguing against purely top-down regulatory theoretical models. Our quality assessment tool found considerable variability in study design and tasks employed. The findings support and extend those of previous syntheses focused on activation studies, and provide evidence for a more nuanced view of connectivity in networks of human emotion processing and regulation.
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