Microdosing psychedelics is claimed to improve cognition, but clinical evidence is limited. In a placebo-controlled trial, 80 healthy adult males took 10 µg of LSD or placebo every third day for six weeks. A visual long-term potentiation (LTP) EEG paradigm measured neural plasticity indirectly. Standard event-related potential (ERP) analyses of N1b and P2 components showed no evidence of changes in LTP from LSD, either acutely or after six weeks. However, dynamic causal modeling of the ERP timecourse using a thalamocortical model revealed changes in laminar connectivity in primary visual cortex, including acute changes to self-gain and inhibitory input parameters and differences in excitatory connectivity from layer 2/3 to layer 5 between...
Ketamine's antidepressant effects may be driven by acute changes in brain connectivity and GABA receptor dynamics, not primarily by NMDA receptor blockade. In 30 patients with major depressive disorder, resting-state EEG was recorded before and during a 0.44 mg/kg ketamine infusion. Computational modeling revealed a significant increase in parietal-to-frontal AMPA-mediated connectivity and a significant decrease in the frontal GABA time constant. Both changes correlated with antidepressant response. NMDA receptor changes did not survive correction and were not correlated with symptom improvement. The findings suggest that acute fronto-parietal connectivity and GABA-A/AMPA receptor dynamics mediate ketamine's antidepressant properties.
Ketamine alters brain oscillations, increasing high-frequency gamma waves and reducing low-frequency alpha and theta waves. A thalamo-cortical model better explained these changes than a cortex-only model. The model showed that ketamine increases specific synaptic connections: from superficial pyramidal cells to inhibitory interneurons via AMPA and NMDA receptors, and within-layer-5 pyramidal cell gain control via GABA-A and NMDA receptors. Receptor time-constants remained unchanged. These findings support using generative models to understand oscillatory data and provide computational evidence that ketamine alters local neural coupling through multiple neurotransmitter systems.