2026-04-17T21:24:55Zhttps://recercat.cat/oai/request

oai:recercat.cat:10230/262302025-12-18T01:22:26Zcom_2072_6col_2072_452952

urn:hdl:10230/26230 Mapping the self in the brain's default mode network Davey, Christopher G. Pujol, Jesús Harrison, Ben J. Cervell -- Fisiologia Cervell -- Localització de funcions The brain's default mode network (DMN) has become closely associated with self-referential mental activity, particularly in the resting-state. While the DMN is important for such processes, it has functions other than self-reference, and self-referential processes are supported by regions outside of the DMN. In our study of 88 participants, we examined self-referential and resting-state processes to clarify the extent to which DMN activity was common and distinct between the conditions. Within areas commonly activated by self-reference and rest we sought to identify those that showed additional functional specialization for self-referential processes: these being not only activated by self-reference and rest but also showing increased activity in self-reference versus rest. We examined the neural network properties of the identified 'core-self' DMN regions-in medial prefrontal cortex (MPFC), posterior cingulate cortex (PCC), and inferior parietal lobule-using dynamic causal modeling. The optimal model identified was one in which self-related processes were driven via PCC activity and moderated by the regulatory influences of MPFC. We thus confirm the significance of these regions for self-related processes and extend our understanding of their functionally specialized roles. This study was funded by a National Health and Medical Research Council of Australia (NHMRC) Project Grant (1064643; Principal Investigator, BJH). CGD was supported by an NHMRC Career Development Fellowship (1061757). 2016-05-02T11:02:29Z 2016 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Neuroimage. 2016 May 15;132:390-7 © 2016 Elsevier.licensed under the Creative Commmons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ http://dx.doi.org/10.1016/j.neuroimage.2016.02.022 http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Elsevier