This study utilized high-precision 3-T neuroimaging and compatible deep brain stimulation (DBS) to investigate the neural mechanisms of Parkinson's disease treatment. By collecting extensive data from 14 patients over a year, researchers characterized how stimulation impacts individualized functional brain networks. The findings demonstrate that DBS restores connectivity within the somatocognitive action network (SCAN) and evokes distinct responses in motor circuits. A key discovery was that patient-specific connectivity maps are more effective at predicting clinical improvements than generic normative models. This dataset underscores the necessity of personalized treatment strategies and offers a reliable framework for optimizing neuromodulation. Ultimately, the research aims to transition DBS from a trial-and-error procedure to a more precise, data-driven therapy.

References:

• Ren J, Jiang C, Zhang W, et al. Circuit response to neuromodulation characterized with simultaneous deep brain stimulation and precision neuroimaging in humans[J]. Nature Neuroscience, 2026: 1-13.