Luming Li

The paper links STN-DBS frequency-tuned beta subband dynamics to speech tempo in Parkinson's disease, suggesting a potential neural marker for speech modulation.

This paper develops a patient-calibrated dynamical model and predictive controller for closed-loop deep brain stimulation in Parkinson's disease, showing improved performance over existing control strategies.

This study identifies the somato-cognitive action network (SCAN) as a key pathway in Parkinson's disease, showing its dysfunction and link to neuromodulatory treatments.

This study examines individual variability in the functional organization of human and monkey auditory cortex using intrinsic connectivity and task-based fMRI, finding greater variability in non-primary regions, compared to visual areas, and left hemisphere lateralization.

This paper uses deep machine learning to reconstruct lost BOLD signals in individual participants, showing good correlation with original signals and functional connectivity maps.