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  Cross-network interactions in social cognition: A review of findings on task related brain activation and connectivity

Schurz, M., Maliske, L., & Kanske, P. (2020). Cross-network interactions in social cognition: A review of findings on task related brain activation and connectivity. Cortex, 130, 142-157. doi:10.1016/j.cortex.2020.05.006.

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 Creators:
Schurz, Matthias1, 2, Author
Maliske, Lara3, Author
Kanske, Philipp3, 4, Author           
Affiliations:
1Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, ou_persistent22              
2Wellcome Centre For Integrative Neuroimaging, University of Oxford, United Kingdom, ou_persistent22              
3Institute of Clinical Psychology and Psychotherapy, TU Dresden, Germany, ou_persistent22              
4Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Between-network; Across-network; fMRI: Resting-state; Theory of Mind; Mentalizing; Empathy; Action observation; Connectivity
 Abstract: Theory of Mind, empathy, and action observation are central themes in social neuroscience research. Meta-analyses of functional neuroimaging studies show substantial heterogeneity in brain activation for these cognitive abilities, depending on the type of experimental task used. We followed up on these findings by a comparison to basic connectivity networks of the brain. In particular, we evaluated to what extent brain activation for social cognition tasks draws on areas of different fMRI resting-state networks (e.g., Default Mode, Ventral Attention Network) in parallel. Our review illustrates high prevalence of such network co-recruitments across Theory of Mind, empathy, and action observation tasks. To characterize these observations in more detail, we additionally conducted a literature review of fMRI effective connectivity studies. Findings reveal two main types of cross-network interactions in social cognition tasks: Negative coupling (segregation) between Default Mode and Control Networks (Ventral Attention, Frontoparietal, and Dorsal Attention Network), and positive coupling (integration) between these networks. The two patterns reflect different types of brain network organization taking place in the context of social cognition tasks–segregation for specialized, versus integration for flexible processing. We discuss evidence from connectivity research in other research fields, suggesting that increased network integration indicates more effortful and controlled processing. Based on that, we consider how findings of network segregation versus integration can provide new perspectives on dual-system accounts of social cognition, which differentiate between automatic and controlled processes. Moreover, we discuss how the reviewed evidence relates to neural processes which are assumed to take place during naturalistic social cognition.

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Language(s): eng - English
 Dates: 2020-04-062019-08-112020-05-132020-05-222020-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.cortex.2020.05.006
Other: epub 2020
PMID: 32653744
 Degree: -

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Project name : -
Grant ID : 1U54MH091657
Funding program : -
Funding organization : Washington University - University of Minnesota Consortium
Project name : -
Grant ID : FWF-J4009-B27)
Funding program : -
Funding organization : Erwin Schrödinger Fellowship
Project name : -
Grant ID : MSCA-IF 844734
Funding program : -
Funding organization : Marie Skłodowska-Curie Individual Fellowship
Project name : -
Grant ID : 203139/Z/16/Z
Funding program : -
Funding organization : Wellcome Trust
Project name : -
Grant ID : BMBF FKZ 01EE1409A
Funding program : -
Funding organization : German Federal Ministry of Education and Research
Project name : -
Grant ID : KA 4412/2-1
Funding program : -
Funding organization : German Research Foundation
Project name : -
Grant ID : SCHN 1481/2-1
Funding program : -
Funding organization : German Research Foundation

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Title: Cortex
  Other : Cortex
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Milan [etc.] : Elsevier Masson SAS
Pages: - Volume / Issue: 130 Sequence Number: - Start / End Page: 142 - 157 Identifier: ISSN: 0010-9452
CoNE: https://pure.mpg.de/cone/journals/resource/954925393344