TY - JOUR
T1 - Exploring distinct default mode and semantic networks using a systematic ICA approach
AU - Jackson, Rebecca L.
AU - Cloutman, Lauren
AU - Lambon Ralph, Matthew
N1 - 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. Appendix A
Publisher Copyright:
© 2019 The Author(s)
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/1/14
Y1 - 2019/1/14
N2 - 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.
AB - 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.
KW - connectivity
KW - default mode network
KW - independent component analysis
KW - resting-state networks
KW - semantic cognition
U2 - 10.1016/j.cortex.2018.12.019
DO - 10.1016/j.cortex.2018.12.019
M3 - Article
C2 - 30716610
SN - 0010-9452
VL - 113
SP - 279
EP - 297
JO - Cortex: a journal devoted to the study of the nervous system and behavior
JF - Cortex: a journal devoted to the study of the nervous system and behavior
M1 - 0
ER -