Zhuoran Li

This study investigates how prior context aids speech comprehension in noise using EEG and fNIRS, finding that context supports sentence-level semantic integration rather than just word-level prediction.

This study maps TMS-induced discomfort across the whole brain using TMS-fMRI and shows it accounts for 12-25% of TMS-evoked responses.

This study uses TMS combined with iEEG and fMRI to show that parietal TMS guided by hippocampal connectivity engages and modulates hippocampal activity, with effects related to individual FC strength and theta oscillations.

This study identifies prefrontal cortex involvement in compensatory mechanisms for speech-in-noise comprehension in older adults using inter-brain neural coupling analysis.

This paper presents a preprocessing pipeline for TMS-iEEG data, showing it reduces artifacts and noise, and highlights methodological choices that impact results.

The paper examines how noise affects neural tracking of acoustic and semantic speech features during naturalistic speech comprehension, finding that semantic processing leads and is linked to comprehension performance.