Establishing task- and modality-dependent dissociations between the semantic and default mode networks

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Establishing task- and modality-dependent dissociations between the semantic and default mode networks. / Humphreys, Gina F; Hoffman, Paul; Visser, Maya et al.
Yn: Proceedings of the National Academy of Sciences of the United States of America, Cyfrol 112, Rhif 25, 23.06.2015, t. 7857-62.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

HarvardHarvard

Humphreys, GF, Hoffman, P, Visser, M, Binney, RJ & Lambon Ralph, M 2015, 'Establishing task- and modality-dependent dissociations between the semantic and default mode networks', Proceedings of the National Academy of Sciences of the United States of America, cyfrol. 112, rhif 25, tt. 7857-62. https://doi.org/10.1073/pnas.1422760112

APA

Humphreys, G. F., Hoffman, P., Visser, M., Binney, R. J., & Lambon Ralph, M. (2015). Establishing task- and modality-dependent dissociations between the semantic and default mode networks. Proceedings of the National Academy of Sciences of the United States of America, 112(25), 7857-62. https://doi.org/10.1073/pnas.1422760112

CBE

Humphreys GF, Hoffman P, Visser M, Binney RJ, Lambon Ralph M. 2015. Establishing task- and modality-dependent dissociations between the semantic and default mode networks. Proceedings of the National Academy of Sciences of the United States of America. 112(25):7857-62. https://doi.org/10.1073/pnas.1422760112

MLA

Humphreys, Gina F et al. "Establishing task- and modality-dependent dissociations between the semantic and default mode networks". Proceedings of the National Academy of Sciences of the United States of America. 2015, 112(25). 7857-62. https://doi.org/10.1073/pnas.1422760112

VancouverVancouver

Humphreys GF, Hoffman P, Visser M, Binney RJ, Lambon Ralph M. Establishing task- and modality-dependent dissociations between the semantic and default mode networks. Proceedings of the National Academy of Sciences of the United States of America. 2015 Meh 23;112(25):7857-62. doi: 10.1073/pnas.1422760112

Author

Humphreys, Gina F ; Hoffman, Paul ; Visser, Maya et al. / Establishing task- and modality-dependent dissociations between the semantic and default mode networks. Yn: Proceedings of the National Academy of Sciences of the United States of America. 2015 ; Cyfrol 112, Rhif 25. tt. 7857-62.

RIS

TY - JOUR

T1 - Establishing task- and modality-dependent dissociations between the semantic and default mode networks

AU - Humphreys, Gina F

AU - Hoffman, Paul

AU - Visser, Maya

AU - Binney, Richard J

AU - Lambon Ralph, Matthew

PY - 2015/6/23

Y1 - 2015/6/23

N2 - The default mode network (DMN) and semantic network (SN) are two of the most extensively studied systems, and both are increasingly used as clinical biomarkers in neurological studies. There are strong theoretical reasons to assume a relationship between the networks, as well as anatomical evidence that they might rely on overlapping cortical regions, such as the anterior temporal lobe (ATL) or angular gyrus (AG). Despite these strong motivations, the relationship between the two systems has received minimal attention. We directly compared the SN and DMN using a large (n = 69) distortion-corrected functional MRI (fMRI) dataset, spanning a range of semantic and nonsemantic tasks that varied input modality. The results showed that both networks fractionate depending on the semantic nature of the task, stimulus type, modality, and task difficulty. Furthermore, despite recent claims that both AG and ATL are semantic hubs, the two areas responded very differently, with results supporting the role of ATL, but not AG, in semantic representation. Specifically, the left ATL was positively activated for all semantic tasks, but deactivated during nonsemantic task performance. In contrast, the left AG was deactivated for all tasks, with the level of deactivation related to task difficulty. Thus, ATL and AG do not share a common interest in semantic tasks, but, rather, a common "disinterest" in nonsemantic tasks. The implications for the variability in the DMN, its cognitive coherence, and interpretation of resting-state fMRI data are discussed.

AB - The default mode network (DMN) and semantic network (SN) are two of the most extensively studied systems, and both are increasingly used as clinical biomarkers in neurological studies. There are strong theoretical reasons to assume a relationship between the networks, as well as anatomical evidence that they might rely on overlapping cortical regions, such as the anterior temporal lobe (ATL) or angular gyrus (AG). Despite these strong motivations, the relationship between the two systems has received minimal attention. We directly compared the SN and DMN using a large (n = 69) distortion-corrected functional MRI (fMRI) dataset, spanning a range of semantic and nonsemantic tasks that varied input modality. The results showed that both networks fractionate depending on the semantic nature of the task, stimulus type, modality, and task difficulty. Furthermore, despite recent claims that both AG and ATL are semantic hubs, the two areas responded very differently, with results supporting the role of ATL, but not AG, in semantic representation. Specifically, the left ATL was positively activated for all semantic tasks, but deactivated during nonsemantic task performance. In contrast, the left AG was deactivated for all tasks, with the level of deactivation related to task difficulty. Thus, ATL and AG do not share a common interest in semantic tasks, but, rather, a common "disinterest" in nonsemantic tasks. The implications for the variability in the DMN, its cognitive coherence, and interpretation of resting-state fMRI data are discussed.

KW - angular gyrus

KW - anterior temporal lobe

KW - default mode network

KW - distortion-corrected fMRI

KW - semantic network

U2 - 10.1073/pnas.1422760112

DO - 10.1073/pnas.1422760112

M3 - Article

C2 - 26056304

VL - 112

SP - 7857

EP - 7862

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

SN - 0027-8424

IS - 25

ER -