Yingnan Nie, PhD portrait

Yingnan Nie, PhD

Associate Professor
School of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences

I work at the intersection of electrophysiology, closed-loop neuromodulation, and clinical translation for neurological disorders. My recent work focuses on neural mechanisms of Parkinson’s disease, adaptive stimulation strategies, and real-time artifact suppression for closed-loop deep brain stimulation systems.
  • Closed-loop Neuromodulation
  • Neural Electrophysiology in Neurological Disorders
  • Brain-Computer Interfaces and Clinical Neuroengineering

News

Aug 2024

Joined the School of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, as an Associate Professor.

Career
2024

Published work on a closed-loop deep brain stimulation platform for translational research in Neuromodulation: Technology at the Neural Interface.

Paper
2023-2025

Principal Investigator of a National Natural Science Foundation of China Youth Project on cortical-basal ganglia loop closed-loop neuromodulation for Parkinson’s disease.

Grant
2023-2024

Led a China Postdoctoral Science Foundation Special Fund project on dual-loop neuromodulation methods linking neural states and clinical symptoms.

Grant
2022-2024

Served as Postdoctoral Researcher at the Institute for Brain-Inspired Intelligence Science and Technology, Fudan University.

Career
2021

Published studies on subthalamic neural states and stimulation artifact removal for closed-loop DBS in Clinical Neurophysiology and Journal of Neural Engineering.

Paper
Recent Years

Received international recognitions including the Special Silver Award at the Geneva International Exhibition of Inventions and the World Parkinson Congress Travel Grant.

Award

Research

Real-Time Stimulation Artifact Suppression thumbnail

Real-Time Stimulation Artifact Suppression

Designing real-time signal processing pipelines that remove stimulation artifacts and preserve neural biomarkers for online decision-making in closed-loop DBS.

Electrophysiology Signal Processing Neuroengineering
Subthalamic Neural States and Motor Symptoms thumbnail

Subthalamic Neural States and Motor Symptoms

Characterizing dynamic neural states in subthalamic recordings and linking them to motor symptom fluctuations in Parkinson's disease.

Clinical Neurophysiology Neural State Biomarkers
Translational Closed-Loop DBS Platform thumbnail

Translational Closed-Loop DBS Platform

Building an integrated closed-loop deep brain stimulation platform to bridge preclinical algorithm validation and clinical translation.

Translational Research Platform Neuromodulation