Resting‐State Functional Interactions Between the Action Observation Network and the Mentalizing System
ABSTRACT Human social functioning is thought to rely on the action observation network (AON) and the mentalizing system (MS). It is debated whether AON and MS are functionally separate or if they interact. To this end, we combined resting‐state connectivity with task‐based fMRI to characterize the f...
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Published in | The European journal of neuroscience Vol. 61; no. 6; pp. e70082 - n/a |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
France
Wiley Subscription Services, Inc
01.03.2025
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0953-816X 1460-9568 1460-9568 |
DOI | 10.1111/ejn.70082 |
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Summary: | ABSTRACT
Human social functioning is thought to rely on the action observation network (AON) and the mentalizing system (MS). It is debated whether AON and MS are functionally separate or if they interact. To this end, we combined resting‐state connectivity with task‐based fMRI to characterize the functional connectome within and between these systems. In detail, we computed resting‐state connectivity within and between the AON and MS using single subject‐defined regions of interest (ROIs).
Our results showed a positive coupling between ROIs within each system and negative coupling between the two systems, supporting the existence of two independent networks at rest. Still, two regions (pSTS, aIFG) showed hybrid coupling, connecting with regions of both systems, suggesting that they might mediate cross‐network communication.
This characterization of the interplay between MS and AON in the healthy brain might provide the starting point to further investigate aberrant “connectivity” fingerprints associated with neuropsychiatric disorders characterized by impairments in social cognition.
Our results describe the action observation network (AON) and the mentalizing system (MS) as two segregated networks, with two main sites of interaction—pSTS and aIFG—which might act as integration hubs between the two systems. |
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Bibliography: | This work was funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research and supported by the European Union ‐ Next Generation EU PRIN 2022 (DD 104 02/02/22) – PNRR – M4 – C2 – INV1.1 – PRIN –Project Title [COMPArative charACTterization of the parietal lobe: a multimodal approach (COMPAACT project)] – project identifier code [2022JT852C] – CUP [E53D23022180006]. Funding Associate Editor John Foxe ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Associate Editor: John Foxe Funding: This work was funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research and supported by the European Union ‐ Next Generation EU PRIN 2022 (DD 104 02/02/22) – PNRR – M4 – C2 – INV1.1 – PRIN –Project Title [COMPArative charACTterization of the parietal lobe: a multimodal approach (COMPAACT project)] – project identifier code [2022JT852C] – CUP [E53D23022180006]. |
ISSN: | 0953-816X 1460-9568 1460-9568 |
DOI: | 10.1111/ejn.70082 |