Vissani Matteo, Palmisano Chiara, Volkmann Jens, Pezzoli Gianni, Micera Silvestro, Isaias Ioannis U, Mazzoni Alberto
The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy.
NPJ Parkinsons Dis. 2021 Jun 29;7(1):53. doi: 10.1038/s41531-021-00187-6.
Excessive beta-band oscillations in the subthalamic nucleus are key neural features of Parkinson's disease. Yet the distinctive contributions of beta low and high bands, their dependency on striatal dopamine, and their correlates with movement kinematics are unclear. Here, we show that the movement phases of the reach-to-grasp motor task are coded by the subthalamic bursting activity in a maximally-informative beta high range. A strong, three-fold correlation linked beta high range bursts, imbalanced inter-hemispheric striatal dopaminergic tone, and impaired inter-joint movement coordination. These results provide new insight into the neural correlates of motor control in parkinsonian patients, paving the way for more informative use of beta-band features for adaptive deep brain stimulation devices.
丘脑底核中过度的β波段振荡是帕金森病的关键神经特征。然而，β低频和高频波段的独特作用、它们对纹状体多巴胺的依赖性以及它们与运动运动学的相关性尚不清楚。在这里，我们表明，在最大信息β高频范围内，丘脑底核的爆发活动编码了伸手抓握运动任务的运动阶段。强烈的三倍相关性将β高频范围爆发、半球间纹状体多巴胺能张力失衡和关节间运动协调受损联系起来。这些结果为帕金森病患者运动控制的神经相关性提供了新的见解，为自适应深部脑刺激装置更有效地利用β波段特征铺平了道路。
