Jackson, Rebecca L., Cloutman, Lauren L. and Lambon Ralph, Matthew A. (2019) Exploring distinct default mode and semantic networks using a systematic ICA approach. Cortex. pp. 279-297. ISSN 1973-8102
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Funding Information: This work was supported by a Ph.D. studentship, doctoral prize from the Engineering and Physical Sciences Research Council and a British Academy Postdoctoral Fellowship (pf170068) to RLJ, and programme grants to MALR from the Medical Research Council (grant number MR/J004146/1 & MR/R023883/1). We thank Claude Bajada for help implementing the Jaccard similarity metric. Funding Information: This work was supported by a Ph.D. studentship, doctoral prize from the Engineering and Physical Sciences Research Council and a British Academy Postdoctoral Fellowship ( pf170068 ) to RLJ, and programme grants to MALR from the Medical Research Council (grant number MR/J004146/1 & MR/R023883/1 ). We thank Claude Bajada for help implementing the Jaccard similarity metric. Publisher Copyright: © 2019 The Author(s) |
Keywords: | Connectivity,Default mode network,Independent component analysis,Resting-state networks,Semantic cognition |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 13 Jul 2022 09:50 |
Last Modified: | 16 Oct 2024 18:33 |
Published Version: | https://doi.org/10.1016/j.cortex.2018.12.019 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.cortex.2018.12.019 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:189047 |
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Description: Exploring distinct default mode and semantic networks using a systematic ICA approach
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