2 results for "Meta-analysis: what did research on default mode network find in june 2026?"

Distinct brain responses to psilocybin and escitalopram in depression captured by the Fluctuation-Dissipation Theorem

bioRxiv (Cold Spring Harbor Laboratory) June 16, 2026 Paulina Clara Dagnino, Irene Acero-Pousa, Gorka Zamora‐lópez et al. 1 citation

Psilocybin and the conventional antidepressant escitalopram produce opposite changes in the brain's hierarchical non-equilibrium dynamics when treating major depressive disorder. Using resting-state fMRI before and after treatment, researchers built whole-brain models and measured how much each patient's brain activity deviated from the fluctuation-dissipation theorem. Baseline measures distinguished treatment responders from non-responders within each group. The deviation from the fluctuation-dissipation theorem may serve as a marker to differentiate the brain effects of psilocybin and escitalopram, contributing to understanding how these treatments work for depression.

DOI: 10.64898/2026.06.12.731811 Psilocybin Major depressive disorder Default mode network Escitalopram +9

Psychedelics disrupt hierarchical cortical propagations in the default mode network of humans and mice.

Proceedings of the National Academy of Sciences of the United States of America June 16, 2026 Adam R Pines, Xue Zhang, John Kochalka et al.

Psychedelic drugs consistently reduce the strength and bottom-up direction of signal flow within the brain's default mode network, according to analyses of four independent datasets spanning humans and mice and three different psychedelic compounds (MDMA, psilocybin, and LSD). This attenuation of cortical propagations is not explained by data quality or previously known effects of psychedelics and is uniquely tied to self-reported outcomes. The findings clarify how psychedelics alter macroscale hierarchical processing in the brain.

DOI: 10.1073/pnas.2522000123 Full text Default mode network Cortical propagations Hierarchical processing Neuroimaging +1