摘要
AbstractBackground:Deep brain stimulation (DBS) has proved effective for Parkinson’s disease (PD), but the identification of stimulation parameters relies on doctors’ subjective judgment on patient behavior.Methods:Five PD patients performed 10-meter walking tasks under different brain stimulation frequencies. During walking tests, a wearable functional near-infrared spectroscopy (fNIRS) system was used to measure the concentration change of oxygenated hemoglobin (ΔHbO2) in prefrontal cortex, parietal lobe and occipital lobe. Brain functional connectivity and global efficiency were calculated to quantify the brain activities.Results:We discovered that both the global and regional brain efficiency of all patients varied with stimulation parameters, and the DBS pattern enabling the highest brain efficiency was optimal for each patient, in accordance with the clinical assessments and DBS treatment decision made by the doctors.Conclusions:Task fNIRS assessments and brain functional connectivity analysis promise a quantified and objective solution for patient-specific optimization of DBS treatment.Trial registration:Name: Accurate treatment under the multidisciplinary cooperative diagnosis and treatment model of Parkinson’s disease. Registration number is ChiCTR1900022715. Date of registration is April 23, 2019.
机构地区
College of Artificial Intelligence, Nankai University, Tianjin, China Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China,Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin, China,Department of Neurorehabilitation, Tianjin Huanhu Hospit
出版日期
2021年09月21日（中国期刊网平台首次上网日期，不代表论文的发表时间）
