Exploring distinct default mode and semantic networks using a systematic ICA approach

Rebecca L. Jackson, Lauren Cloutman, Matthew Lambon Ralph

Research output: Contribution to journalArticlepeer-review

Abstract

Resting-state networks (RSNs; groups of regions consistently co-activated without an explicit task) are hugely influential in modern brain research. Despite this popularity, the link between specific RSNs and their functions remains elusive, limiting the impact on cognitive neuroscience (where the goal is to link cognition to neural systems). Here we present a series of logical steps to formally test the relationship between a coherent RSN with a cognitive domain. This approach is applied to a challenging and significant test-case; extracting a recently-proposed semantic RSN, determining its relation with a well-known RSN, the default mode network (DMN), and assessing their roles in semantic cognition. Results showed the DMN and semantic network are two distinct coherent RSNs. Assessing the cognitive signature of these spatiotemporally coherent networks directly (and therefore accounting for overlapping networks) showed involvement of the proposed semantic network, but not the DMN, in task-based semantic cognition. Following the steps presented here, researchers could formally test specific hypotheses regarding the function of RSNs, including other possible functions of the DMN.
Original languageEnglish
Article number0
Pages (from-to)279-297
Number of pages19
JournalCortex: a journal devoted to the study of the nervous system and behavior
Volume113
Early online date14 Jan 2019
DOIs
Publication statusPublished - 14 Jan 2019

Keywords

  • connectivity
  • default mode network
  • independent component analysis
  • resting-state networks
  • semantic cognition

Research Beacons, Institutes and Platforms

  • Manchester Institute for Collaborative Research on Ageing

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