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Louis-David Lord

Department of Psychiatry, University of Oxford, Oxford, UK.

4 papers in the library · 53 citations · publishing 2018-2024

Papers

Brain dynamics predictive of response to psilocybin for treatment-resistant depression.

Brain communications January 1, 2024 Jakub Vohryzek, Joana Cabral, Louis-David Lord et al. 33 citations

Psilocybin therapy for depression shows promise, but its causal mechanisms are unknown. By comparing brain dynamics in treatment responders (those with >50% symptom reduction) and non-responders before treatment, researchers used large-scale brain modeling to identify brain regions whose perturbation could shift a depressive brain state to a healthy one. The identified regions correlated with density maps of serotonin receptors 5-HT2a and 5-HT1a, where psilocin (psilocybin's active metabolite) acts as an agonist. These findings provide causal mechanistic evidence linking specific brain regions and serotonergic transmission to recovery from depression via psilocybin.

Brain dynamics predictive of response to psilocybin for treatment-resistant depression

Research Square September 20, 2022 Jakub Vohryzek, Joana Cabral, Louis-David Lord et al. 10 citations

Psilocybin therapy for depression shows promise, but how it works is unclear. By comparing responders (those with >50% reduction in symptoms) to non-responders after 10mg and 25mg doses, whole-brain modeling identified specific brain regions whose dynamics shift from a depressive to a healthy state. These regions overlap with maps of serotonin 5-HT2A and 5-HT1A receptors, which psilocin—the active metabolite of psilocybin—activates. The findings provide causal evidence linking serotonergic transmission and recovery from depression via psilocybin.

Altered trajectories in the dynamical repertoire of functional network states under psilocybin

bioRxiv (Cold Spring Harbor Laboratory) July 25, 2018 Louis-David Lord, Paul Expert, Selen Atasoy et al. 10 citations preprint

Brain activity can be viewed as exploring a landscape of different activity patterns over time, shifting between stable states of functional connectivity that support various mental processes. In a study using fMRI data from healthy participants given intravenous psilocybin (the active compound in magic mushrooms), researchers analyzed how this dynamical landscape changes during the psychedelic state. They found that a connectivity state linked to the fronto-parietal control system became strongly destabilized, while transitions toward a globally synchronized state increased. These changes suggest the psychedelic state biases the brain toward global integration at the cost of local network segregation, offering a mechanistic perspective on the subjective psychedelic experience and potential guidance for pharmacological interventions in neuropsychiatric disorders.

Integration and segregation in whole-brain networks: implications for altered states of consciousness

Oxford University Research Archive (ORA) January 1, 2018 Louis-David Lord

The brain must balance integrating information across regions with segregating it into specialized modules. This thesis examines that balance in two altered states of consciousness: slow-wave sleep and the psychedelic experience from psilocybin. Using fMRI data, a novel method identifies highly integrative brain nodes based on persistent homology, which have high betweenness-centrality and participation coefficient but avoid dense clusters. Global synchrony and metastability decrease in slow-wave sleep while chimeraness increases; opposite effects occur under psilocybin. Psilocybin increases occurrence of a globally coherent functional connectivity state and decreases occupancy of a fronto-parietal control network.