Youssef Ezzyat

This study shows that structural network architecture of stimulation targets determines the effectiveness of closed-loop brain stimulation for memory improvement.

The paper investigates neural components specific to episodic memory by analyzing cross-task decoding in patients performing free recall and arithmetic tasks.

The paper tests if targeting brain stimulation based on anatomical and functional network properties improves memory in patients.

The paper identifies cortical networks that reinstated semantic content and temporal context during episodic recall, showing how specialized systems organize memory retrieval.

The paper examines how high-frequency gamma activity in epilepsy patients correlates with resting-state BOLD fluctuations, showing distinct hubness in memory encoding networks.

This study evaluates how data cleaning methods affect brain state classification in intracranial EEG and finds they reduce statistical power for detecting memory encoding.

The paper investigates spectral tilt during mathematical problem solving and finds that increased spectral tilt correlates with slower performance, suggesting it reflects information processing beyond simple attention.

This study uses electrical brain stimulation to show that the medial temporal lobe impairs spatial and temporal memory organization in humans.

This study uses network control theory to predictably reconfigure brain network interactions through targeted neurostimulation in humans.