{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Oehrn CR"],"funding":["NINDS NIH HHS"],"pubmed_abstract":["Deep brain stimulation is a widely used therapy for Parkinson's disease (PD) but currently lacks dynamic responsiveness to changing clinical and neural states. Feedback control has the potential to improve therapeutic effectiveness, but optimal control strategy and additional benefits of \"adaptive\" neurostimulation are unclear. We implemented adaptive subthalamic nucleus stimulation, controlled by subthalamic or cortical signals, in three PD patients (five hemispheres) during normal daily life. We identified neurophysiological biomarkers of residual motor fluctuations using data-driven analyses of field potentials over a wide frequency range and varying stimulation amplitudes. Narrowband gamma oscillations (65-70 Hz) at either site emerged as the best control signal for sensing during stimulation. A blinded, randomized trial demonstrated improved motor symptoms and quality of life compared to clinically optimized standard stimulation. Our approach highlights the promise of personalized adaptive neurostimulation based on data-driven selection of control signals and may be applied to other neurological disorders."],"journal":["medRxiv : the preprint server for health sciences"],"pagination":["2023.08.03.23293450"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10463549"],"repository":["biostudies-literature"],"pubmed_title":["Personalized chronic adaptive deep brain stimulation outperforms conventional stimulation in Parkinson's disease."],"pmcid":["PMC10463549"],"funding_grant_id":["F32 NS129627","K23 NS120037","R01 NS131405","R25 NS070680","UH3 NS100544"],"pubmed_authors":["Oehrn CR","Yao J","Hahn A","Starr PA","Cernera S","Wang S","Little S","Shcherbakova M","Hammer LH","Ostrem JL"],"additional_accession":[]},"is_claimable":false,"name":"Personalized chronic adaptive deep brain stimulation outperforms conventional stimulation in Parkinson's disease.","description":"Deep brain stimulation is a widely used therapy for Parkinson's disease (PD) but currently lacks dynamic responsiveness to changing clinical and neural states. Feedback control has the potential to improve therapeutic effectiveness, but optimal control strategy and additional benefits of \"adaptive\" neurostimulation are unclear. We implemented adaptive subthalamic nucleus stimulation, controlled by subthalamic or cortical signals, in three PD patients (five hemispheres) during normal daily life. We identified neurophysiological biomarkers of residual motor fluctuations using data-driven analyses of field potentials over a wide frequency range and varying stimulation amplitudes. Narrowband gamma oscillations (65-70 Hz) at either site emerged as the best control signal for sensing during stimulation. A blinded, randomized trial demonstrated improved motor symptoms and quality of life compared to clinically optimized standard stimulation. Our approach highlights the promise of personalized adaptive neurostimulation based on data-driven selection of control signals and may be applied to other neurological disorders.","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Aug","modification":"2026-04-08T15:34:26.57Z","creation":"2026-04-08T04:51:51.691Z"},"accession":"S-EPMC10463549","cross_references":{"pubmed":["37649907"],"doi":["10.1101/2023.08.03.23293450"]}}