Controlled semantic summation correlates with intrinsic connectivity between default mode and control networks

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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Controlled semantic summation correlates with intrinsic connectivity between default mode and control networks. / Evans, Megan; Krieger-Redwood, Katya Melanie; Gonzalez Alam, Tirso et al.
Yn: Cortex, Cyfrol 129, 01.08.2020, t. 356-375.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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Evans M, Krieger-Redwood KM, Gonzalez Alam T, Smallwood J, Jefferies B. Controlled semantic summation correlates with intrinsic connectivity between default mode and control networks. Cortex. 2020 Awst 1;129:356-375. doi: 10.1016/j.cortex.2020.04.032

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Evans, Megan ; Krieger-Redwood, Katya Melanie ; Gonzalez Alam, Tirso et al. / Controlled semantic summation correlates with intrinsic connectivity between default mode and control networks. Yn: Cortex. 2020 ; Cyfrol 129. tt. 356-375.

RIS

TY - JOUR

T1 - Controlled semantic summation correlates with intrinsic connectivity between default mode and control networks

AU - Evans, Megan

AU - Krieger-Redwood, Katya Melanie

AU - Gonzalez Alam, Tirso

AU - Smallwood, Jonathan

AU - Jefferies, Beth

N1 - © Elsevier B.V., 2020. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.

PY - 2020/8/1

Y1 - 2020/8/1

N2 - The capacity to identify aspects of meaning that overlap across multiple concepts may relate to individual differences in the strength of intrinsic connectivity within and between distinct brain networks supporting semantic cognition. This study examined a semantic summation task, which tested the capacity to detect weak overlapping aspects of meaning, in 76 participants who were also scanned with resting-state fMRI. We examined associations between summation and the intrinsic connectivity of semantically-relevant default mode and control network regions. These networks are implicated in information integration and controlled retrieval respectively. We found higher intrinsic connectivity between default and control networks was associated with better performance in the summation task. The same pattern of coupling between semantic default mode and control networks was not associated with more efficient retrieval of individual weak as opposed to strong associations in an additional cohort of around 200 participants, suggesting this pattern is specific to the summation of multiple concepts, rather than semantic task difficulty. Finally, higher connectivity within the default mode network was associated with better performance when selecting a word that was strongly-related to a single probe item, supporting the role of this network in more automatic aspects of semantic retrieval.

AB - The capacity to identify aspects of meaning that overlap across multiple concepts may relate to individual differences in the strength of intrinsic connectivity within and between distinct brain networks supporting semantic cognition. This study examined a semantic summation task, which tested the capacity to detect weak overlapping aspects of meaning, in 76 participants who were also scanned with resting-state fMRI. We examined associations between summation and the intrinsic connectivity of semantically-relevant default mode and control network regions. These networks are implicated in information integration and controlled retrieval respectively. We found higher intrinsic connectivity between default and control networks was associated with better performance in the summation task. The same pattern of coupling between semantic default mode and control networks was not associated with more efficient retrieval of individual weak as opposed to strong associations in an additional cohort of around 200 participants, suggesting this pattern is specific to the summation of multiple concepts, rather than semantic task difficulty. Finally, higher connectivity within the default mode network was associated with better performance when selecting a word that was strongly-related to a single probe item, supporting the role of this network in more automatic aspects of semantic retrieval.

U2 - 10.1016/j.cortex.2020.04.032

DO - 10.1016/j.cortex.2020.04.032

M3 - Article

VL - 129

SP - 356

EP - 375

JO - Cortex

JF - Cortex

SN - 0010-9452

ER -