Mei‐Heng Lin
Papers
2
Total Citations
38
H-Index
2
About
Mei-Heng Lin is a pioneering researcher at the intersection of computational neuroscience, neurostimulation, and addiction science. Her work centers on understanding how reward processing and decision-making are disrupted in substance use disorders, with a particular focus on the anterior midcingulate cortex (aMCC) and basal ganglia circuits. Lin’s most cited paper (24 citations) introduces a novel multimodal framework combining robotics, electrophysiology, and transcranial magnetic stimulation (TMS) to recover reward function in problematic substance users, demonstrating how prefrontal 10-Hz TMS can modulate dopaminergic reinforcement learning signals. In a second influential study (14 citations), she extends beyond traditional motor cortex applications by applying theta burst stimulation to the aMCC, revealing new pathways for non-invasive modulation of cognitive control and reward-related neural activity. These contributions have significant implications for developing targeted neuromodulation therapies for addiction, bridging computational models of reinforcement learning with clinical interventions. Lin’s work is notable for its methodological innovation—integrating robotics for precise stimulation delivery with electrophysiological recording—and for challenging conventional boundaries of TMS application. Her research continues to shape our understanding of how to non-invasively restore disrupted reward circuitry in addiction.
Research Focus
Key Achievements
Top Papers
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