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This article discusses the use of adaptive deep brain stimulation (aDBS) to improve residual motor signs in patients with Parkinson’s disease. The study utilized data-driven neural biomarker identification and stimulation-entrained gamma oscillations as control signals for the aDBS algorithm. Results showed improved quality of life for patients without aggravating other symptoms. This study highlights the potential for aDBS in treating other neuropsychiatric conditions and the importance of multi-site brain recordings and at-home neural recordings for configuring aDBS.
