Study identifies brain rhythm behind Parkinson's DBS response
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- University of Cologne researchers identified that deep brain stimulation (DBS) benefits in Parkinson's patients depend on a specific brain network communicating through a high beta rhythm of 20–35 Hz, a frequency band not previously mapped to DBS response.
- The study, published in the journal Brain, was led by Professor Dr. Andreas Horn and is the first to combine electrophysiology and brain imaging simultaneously to characterize the DBS response network in both space and time.
- The interdisciplinary team — drawn from University Hospitals of Cologne and Düsseldorf, Harvard Medical School, and Charité Berlin — analyzed 50 patients and 100 brain hemispheres, recording activity through implanted DBS electrodes and magnetoencephalography (MEG).
- The critical network connects the subthalamic nucleus to frontal cortex areas, and the strength of that connection correlated directly with how much individual patients' motor symptoms improved following electrode implantation.
- Dr. Bahne Bahners, first author at Düsseldorf University Hospital, said the findings could allow clinicians to adjust DBS settings more precisely, particularly for patients who have not yet benefited optimally from standard stimulation.
- Funded largely by the Professor Klaus Thiemann Foundation, the team is now running follow-up studies to investigate how DBS causally changes activity within these brain networks.
- Deep brain stimulation of the subthalamic nucleus is already an established therapy for easing motor symptoms in Parkinson's, but researchers say previous work had only mapped either the spatial targets or the signal frequencies — never both at once.
Why it matters: For Parkinson's patients who don't respond optimally to standard deep brain stimulation, the team has identified a measurable signal — a 20–35 Hz beta rhythm connecting the subthalamic nucleus to frontal cortex — whose strength correlates with motor improvement in a 50-patient cohort. That gives clinicians a concrete biological target for fine-tuning DBS settings to an individual's brain anatomy rather than relying on population-average parameters.
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