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

TY - JOUR

T1 - Exploring distinct default mode and semantic networks using a systematic ICA approach

AU - Jackson, Rebecca L.

AU - Cloutman, Lauren L.

AU - Lambon Ralph, Matthew A.

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. 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)

PY - 2019/4/1

Y1 - 2019/4/1

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

UR - http://www.scopus.com/inward/record.url?scp=85060889312&partnerID=8YFLogxK

U2 - 10.1016/j.cortex.2018.12.019

DO - 10.1016/j.cortex.2018.12.019

M3 - Article

C2 - 30716610

AN - SCOPUS:85060889312

SN - 0010-9452

VL - 113

SP - 279

EP - 297

JO - Cortex

JF - Cortex

ER -