James F. Cavanagh

This study maps the spatiotemporal dynamics of explore-exploit decisions in the human brain using MEG and POMDP modeling during a reinforcement learning task.

The paper uses computational modeling and neural recordings to show how theta band dynamics in basal ganglia structures adjust decision boundaries under conflict and uncertainty.

The paper uses MEG to study reward processing in depression, finding hypoactivation in ventromedial frontal cortex and its correlation with anhedonia.

This study evaluates the test-retest reliability of SpecParam in measuring EEG activity across different conditions and finds good reliability for aperiodic parameters and some periodic parameters, but poor reliability in eyes-open resting conditions.

The paper examines resting EEG activity in Parkinson's Disease patients on and off medication, finding medication-invariant differences in aperiodic activity that contribute to neural correlates of the disorder.

This study examines how 10-Hz rTMS to the left DLPFC affects reinforcement learning by measuring behavioral and computational changes linked to striatal dopamine activity.

This paper shows that d-amphetamine increases reward-related EEG responses in both humans and mice, supporting dopamine's role in reward processing and suggesting a translational biomarker.

This study links cognitive dysfunction in Parkinson's disease to increased timing variability and reduced midfrontal ~4 Hz EEG activity during interval timing tasks.

The paper investigates how inferred controllability modulates Pavlovian and instrumental action selection using neural data from a Go/NoGo task.

The paper examines frontal theta and beta oscillations in Parkinson’s disease patients during lower-limb movement, finding correlations between these oscillations and motor symptoms.