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Classical and non-classical psychedelic drugs induce common network changes in human cortex.

Authors :
Dai, Rui
Larkin, Tony E.
Huang, Zirui
Tarnal, Vijay
Picton, Paul
Vlisides, Phillip E.
Janke, Ellen
McKinney, Amy
Hudetz, Anthony G.
Harris, Richard E.
Mashour, George A.
Source :
NeuroImage. Jun2023, Vol. 273, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• Classical and non-classical psychedelics induce common brain network changes. • Nitrous oxide, ketamine, and LSD all reduce within-network connectivity. • Nitrous oxide, ketamine, and LSD all enhance between-network connectivity. • Changes in temporoparietal junction are consistent across diverse psychedelics. The neurobiology of the psychedelic experience is not fully understood. Identifying common brain network changes induced by both classical (i.e., acting at the 5-HT 2 receptor) and non-classical psychedelics would provide mechanistic insight into state-specific characteristics. We analyzed whole-brain functional connectivity based on resting-state fMRI data in humans, acquired before and during the administration of nitrous oxide, ketamine, and lysergic acid diethylamide. We report that, despite distinct molecular mechanisms and modes of delivery, all three psychedelics reduced within-network functional connectivity and enhanced between-network functional connectivity. More specifically, all three drugs increased connectivity between right temporoparietal junction and bilateral intraparietal sulcus as well as between precuneus and left intraparietal sulcus. These regions fall within the posterior cortical "hot zone," posited to mediate the qualitative aspects of experience. Thus, both classical and non-classical psychedelics modulate networks within an area of known relevance for consciousness, identifying a biologically plausible candidate for their subjective effects. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10538119
Volume :
273
Database :
Academic Search Index
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
163427712
Full Text :
https://doi.org/10.1016/j.neuroimage.2023.120097