Helen Qian

KenazLBM is a model that characterizes and predicts brain states from raw iEEG data, generalizing across subjects with heterogeneous recording channels.

This study identifies reward circuitry activity predictive of risk-taking in humans using local field potential recordings during a gambling task.

This study links neural activity during laboratory working memory tasks to neuropsychological test performance in human epilepsy patients.

The paper examines how motor control affects mesolimbic local field potentials using electrophysiological recordings during a stop-signal task.

This study investigates how depression affects neural oscillations in the caudate and DLPFC during reward feedback, finding reduced alpha and beta power responses in depressed individuals.