Networks underpinning emotion: A systematic review and synthesis of functional and effective connectivity

Raphael Underwood*, Eva Tolmeijer, Johannes Wibroe, Emmanuelle Peters, Liam Mason

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

30 Citations (Scopus)

Abstract

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 context-dependent 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.

Original languageEnglish
Article number118486
JournalNeuroImage
Volume243
DOIs
Publication statusPublished - Nov 2021

Keywords

  • Causal connectivity
  • Dynamic causal modeling
  • Effective connectivity
  • Emotion
  • Functional connectivity
  • Healthy
  • Human

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