Leonardo Novelli

The paper examines how naturalistic context affects psilocybin's frequency-specific electrophysiological effects using EEG data from 56 participants.

The paper uses fMRI to show that psilocybin increases similarity in language-associated brain activity, correlating with ego dissolution.

This study shows psilocybin reorganizes brain activity into context-sensitive patterns linked to subjective experience and mindset changes.

The paper surveys neuroimaging researchers on definitions, usage, and evaluation of generative models, revealing both agreement and disagreement on criteria and methods.

The paper examines how depression affects network flexibility in premanifest Huntington's disease using structural connectivity-informed dynamic causal modeling, finding reduced effective connectivity variability in those with depression history.

This study examines how structural connectivity shapes brain dynamics under psilocybin using effective connectivity models and fMRI data across different contexts.

The paper examines how network dysconnection between striatum and default mode network predicts depression in premanifest Huntington's disease, independent of grey matter atrophy.

This paper introduces a chromatic dynamic causal model that links structural valency to spectral properties of neural fluctuations, showing it outperforms standard models and reveals conserved valency-exponent mappings across species.

PsiConnect investigates psilocybin's effects on brain and behavior using multimodal neuroimaging and longitudinal follow-ups.

The paper integrates structural connectivity into dynamic causal modeling of resting-state effective connectivity, showing improved model evidence and revealing a network-dependent modulation of the relationship between structural and effective connectivity.

The paper shows that during learning, brain regions shift their activity from reward-related actions to reward-predicting stimuli, forming stable mesoscale networks.