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  Task-specific network interactions across key cognitive domains

Williams, K., Numssen, O., & Hartwigsen, G. (2022). Task-specific network interactions across key cognitive domains. Cerebral Cortex. doi:10.1093/cercor/bhab531.

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Genre: Journal Article

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 Creators:
Williams, Kathleen1, Author              
Numssen, Ole1, Author              
Hartwigsen, Gesa1, Author              
Affiliations:
1Lise Meitner Research Group Cognition and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3025665              

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Free keywords: Attention; Connectivity; Default mode network; Language; Semantic cognition; Social cognition
 Abstract: Human cognition is organized in distributed networks in the brain. Although distinct specialized networks have been identified for different cognitive functions, previous work also emphasizes the overlap of key cognitive domains in higher level association areas. The majority of previous studies focused on network overlap and dissociation during resting states whereas task-related network interactions across cognitive domains remain largely unexplored. A better understanding of network overlap and dissociation during different cognitive tasks may elucidate flexible (re-)distribution of resources during human cognition. The present study addresses this issue by providing a broad characterization of large-scale network dynamics in three key cognitive domains. Combining prototypical tasks of the larger domains of attention, language, and social cognition with whole-brain multivariate activity and connectivity approaches, we provide a spatiotemporal characterization of multiple large-scale, overlapping networks that differentially interact across cognitive domains. We show that network activity and interactions increase with increased cognitive complexity across domains. Interaction patterns reveal a common core structure across domains as well as dissociable domain-specific network activity. The observed patterns of activation and deactivation of overlapping and strongly coupled networks provide insight beyond region-specific activity within a particular cognitive domain toward a network perspective approach across diverse key cognitive functions.

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Language(s): eng - English
 Dates: 2021-12-212021-07-232021-12-222022-04-07
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1093/cercor/bhab531
Other: online ahead of print
PMID: 35158372
 Degree: -

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Project name : -
Grant ID : HA 6314/3–1 and HA 6314/4–1
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft

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Title: Cerebral Cortex
Source Genre: Journal
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Publ. Info: New York, NY : Oxford University Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1047-3211
CoNE: https://pure.mpg.de/cone/journals/resource/954925592440