Diminished functional gradient of the precuneus during altered states of consciousness
Lyu, D.; Adapa, R.; Carhart-Harris, R. L.; Roseman, L.; Owen, A. M.; Naci, L.; Menon, D. K.; Stamatakis, E. A.
Show abstract
The relationship between the default mode network (DMN) and task-positive networks, such as the frontoparietal control network (FPCN), is a prominent feature of functional connectivity (FC) in the human brain. This relationship is primarily anticorrelated at rest in healthy brains and is disrupted in altered states of consciousness. Although the DMN and FPCN seem to perform distinct and even opposing roles, they are anatomically adjacent and exhibit ambiguous boundaries. To test the hypothesis that the DMN-FPCN distinction manifests probabilistically rather than having absolute anatomical boundaries, we examined the differences in FC along the dorsal-ventral (d-v) axis in the posterior precuneus (PCu), which serves a convergence zone between the DMN and FPCN. Our findings indicate that the connectivity differences along this axis are continuous as characterized by linear slopes. Notably, these linear relationships (i.e., functional gradients of the precuneus/FGp) are present only within the territories of the DMN and FPCN, respectively associating with positive and negative slopes. Furthermore, the gradient is functionally relevant, as its spatial configurations change in specific ways in altered states of consciousness (ASC): the magnitude of FGp is similarly impaired across different types of ASC, while the spatial entropy of FGp differs between psychedelic and sedative states. These results suggest that the DMN and FPCN, while appearing distinct, may originate from a single, integrated mechanism. Significance StatementThis research provides new insights into the brains functional organization underlying human conscious states by examining the relationship between two large-scale networks: the default mode network (DMN) and the frontoparietal control network (FPCN). These networks, which are attuned to handle internal and external information respectively, are often viewed as oppositional. However, our findings indicate they form an integrated system with continuous connectivity. We identified the posterior precuneus as a key convergence point, revealing a gradient of connectivity between the two networks. This gradient flattens during altered states of consciousness induced by psychedelics or sedatives, showing a loss of functional differentiation between the DMN and FPCN.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Understanding the link between functional profiles and intelligence through dimensionality reduction and graph analysis 95%
- Energy of functional brain states correlates with cognition in adolescent-onset schizophrenia and healthy persons 95%
- Thalamic contributions to psychosis susceptibility: Evidence from co-activation patterns accounting for intra-seed spatial variability (μCAPs) 95%
Similar papers in this journal
- Multimodal multilayer network centrality relates to executive functioning 96%
- The unique neural signature of your trip: Functional connectome fingerprints of subjective psilocybin experience 95%
- Functional connectivity of fMRI using differential covariance predicts structural connectivity and behavioral reaction times 95%
Similar papers in this journal
- Feature similarity: a sensitive method to capture the functional interaction of brain regions and networks to support flexible behavior 96%
- Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization 96%
- Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics 96%
Similar papers in this journal
- Disruption in structural-functional network repertoire and time resolved subcortical-frontoparietal connectivity in disorders of consciousness 95%
- Brain states govern the spatio-temporal dynamics of resting state functional connectivity 94%
- Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.