Matthew D. Greaves

Psychedelics Align Brain Activity with Context

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

What Is a Generative Model? Definitions, Disagreements, and Evaluation in Human Neuroimaging

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

Depression reduces structurally informed network flexibility in premanifest Huntington's disease

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.

Context-dependent structurally informed effective connectivity under psilocybin

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

Spectral imprint of structural embedding in effective connectivity

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: A Multimodal Neuroimaging Study of Psilocybin-Induced Changes in Brain and Behaviour

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

Structurally informed resting-state effective connectivity recapitulates cortical hierarchy

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.

Cortico-striatal activity characterizes human safety learning via Pavlovian conditioned inhibition

This study uses fMRI to compare brain activity during safety learning via conditioned inhibition and standard safety signals, finding distinct cortico-striatal circuits for each.