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In comparison, closed-loop DBS, or adaptive DBS (aDBS), adjusts stimulation based on biomarker feedback that correlates with clinical state. Recent work has identified several neurophysiological biomarkers in local field potential recordings from PD patients, the most promising of which are 1) elevated beta (\u223c13\u201330 Hz) power in the subthalamic nucleus (STN), 2) increased beta synchrony throughout basal ganglia-thalamocortical circuits, notably observed as coupling between the STN beta phase and cortical broadband gamma (\u223c50\u2013200 Hz) amplitude, and 3) prolonged beta bursts in the STN and cortex. In this review, we highlight relevant frequency and time domain features of STN beta measured in PD patients and summarize how spectral beta power, oscillatory beta synchrony, phase-amplitude coupling, and temporal beta bursting inform PD pathology, neurosurgical targeting, and DBS therapy. We then review how STN beta dynamics inform predictive, biomarker-driven aDBS approaches for optimizing PD treatment. We therefore provide clinically useful and actionable insight that can be applied toward aDBS implementation for PD.<\/jats:p>","DOI":"10.1152\/jn.00055.2023","type":"journal-article","created":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T22:14:06Z","timestamp":1684361646000},"page":"1492-1504","update-policy":"https:\/\/doi.org\/10.1152\/aps-crossmark-policy","source":"Crossref","is-referenced-by-count":33,"title":["Oscillatory beta dynamics inform biomarker-driven treatment optimization for Parkinson\u2019s disease"],"prefix":"10.1152","volume":"129","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7971-1806","authenticated-orcid":false,"given":"Erin M.","family":"Radcliffe","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States"},{"name":"Department of Bioengineering, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United 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