The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity
| العنوان: | The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity |
|---|---|
| المؤلفون: | Peter Bedford, Daniel J. Hauke, Zheng Wang, Volker Roth, Monika Nagy-Huber, Friederike Holze, Laura Ley, Patrick Vizeli, Matthias E. Liechti, Stefan Borgwardt, Felix Müller, Andreea O. Diaconescu |
| المصدر: | Neuropsychopharmacology. |
| بيانات النشر: | Springer Science and Business Media LLC, 2023. |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Pharmacology, Psychiatry and Mental health |
| الوصف: | Psychedelics have emerged as promising candidate treatments for various psychiatric conditions, and given their clinical potential, there is a need to identify biomarkers that underlie their effects. Here, we investigate the neural mechanisms of lysergic acid diethylamide (LSD) using regression dynamic causal modelling (rDCM), a novel technique that assesses whole-brain effective connectivity (EC) during resting-state functional magnetic resonance imaging (fMRI). We modelled data from two randomised, placebo-controlled, double-blind, cross-over trials, in which 45 participants were administered 100 μg LSD and placebo in two resting-state fMRI sessions. We compared EC against whole-brain functional connectivity (FC) using classical statistics and machine learning methods. Multivariate analyses of EC parameters revealed predominantly stronger interregional connectivity and reduced self-inhibition under LSD compared to placebo, with the notable exception of weakened interregional connectivity and increased self-inhibition in occipital brain regions as well as subcortical regions. Together, these findings suggests that LSD perturbs the Excitation/Inhibition balance of the brain. Notably, whole-brain EC did not only provide additional mechanistic insight into the effects of LSD on the Excitation/Inhibition balance of the brain, but EC also correlated with global subjective effects of LSD and discriminated experimental conditions in a machine learning-based analysis with high accuracy (91.11%), highlighting the potential of using whole-brain EC to decode or predict subjective effects of LSD in the future. |
| تدمد: | 1740-634X 0893-133X |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef56d9fbeab176e304e5760a94b6af08 https://doi.org/10.1038/s41386-023-01574-8 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....ef56d9fbeab176e304e5760a94b6af08 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 1740634X 0893133X |
|---|