Journal
BRAIN STRUCTURE & FUNCTION
Volume 223, Issue 8, Pages 3813-3840Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s00429-018-1727-9
Keywords
Emotional interference; Cognitive control; Activation likelihood estimation (ALE); Meta-analysis; Meta-analytic connectivity modeling (MACM); Resting-state functional connectivity (RSFC); Large-scale network; Functional decoding
Categories
Funding
- NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH074457] Funding Source: NIH RePORTER
- China Postdoctoral Science Foundation [2013M530401, 2017M610055] Funding Source: Medline
- National Natural Science Foundation of China [91632117, 81401398, 31500920] Funding Source: Medline
- NIMH NIH HHS [R01-MH074457, R01 MH074457] Funding Source: Medline
- Helmholtz Portfolio Theme "
- Supercomputing and Modeling for the Human Brain"
- and the European Union&apos
- s Horizon 2020 Research and Innovation Programme [7202070] Funding Source: Medline
- National Postdoctoral Program for Innovative Talents [BX201600019] Funding Source: Medline
Ask authors/readers for more resources
The inability to control or inhibit emotional distractors characterizes a range of psychiatric disorders. Despite the use of a variety of task paradigms to determine the mechanisms underlying the control of emotional interference, a precise characterization of the brain regions and networks that support emotional interference processing remains elusive. Here, we performed coordinate-based and functional connectivity meta-analyses to determine the brain networks underlying emotional interference. Paradigms addressing interference processing in the cognitive or emotional domain were included in the meta-analyses, particularly the Stroop, Flanker, and Simon tasks. Our results revealed a consistent involvement of the bilateral dorsal anterior cingulate cortex, anterior insula, left inferior frontal gyrus, and superior parietal lobule during emotional interference. Follow-up conjunction analyses identified correspondence in these regions between emotional and cognitive interference processing. Finally, the patterns of functional connectivity of these regions were examined using resting-state functional connectivity and meta-analytic connectivity modeling. These regions were strongly connected as a distributed system, primarily mapping onto fronto-parietal control, ventral attention, and dorsal attention networks. Together, the present findings indicate that a domain-general neural system is engaged across multiple types of interference processing and that regulating emotional and cognitive interference depends on interactions between large-scale distributed brain networks.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available