Sridevi V. Sarma

This study investigates the acute effects of Coordinated Reset stimulation on neural synchronization during Status Epilepticus in an in vivo model, showing reduced synchronization and connectivity measures.

The paper models the sensorimotor system under computational and physical constraints, finding a preference for joint angle coordinates and revealing avoidance and placement neurons in obstacle navigation.

The paper identifies two internal states that influence movement variability and shows they are encoded by large-scale brain networks in humans.

The paper shows that cyclic, condition-independent neural activity in primary motor cortex predicts peak movement speed during both initial and corrective reaching movements in rhesus macaques.

The paper introduces and validates neural fragility as an EEG biomarker for identifying the seizure onset zone, showing higher prediction accuracy than clinician judgment.

The paper estimates dynamic cognitive states from behavioral data to predict reaction time variability and identifies EEG features modulating these states.

This paper introduces a method combining scalp EEG and imaging data to improve EZ localization in MRE patients, showing better overlap with successful implantations.

The paper develops a network analysis algorithm to localize the epileptogenic zone using invasive EEG recordings, showing better agreement with clinical outcomes in successful surgeries.