Distinct population code for movement kinematics and changes of ongoing movements in human subthalamic nucleus

eLife

Dennis London¹  Roozbeh Kiani²  Michael H Pourfar³  Arash Fazl³  Alon Y Mogilner³  Marisol Soula⁴  Kalman Katlowitz⁴ 

[1] Center for Neural Science, New York University, New York, United States;Department of Neurosurgery, Center for Neuromodulation, NYU Langone Health, New York, United States;Center for Neural Science, New York University, New York, United States;Neuroscience Institute, NYU Langone Health, New York, United States;Department of Psychology, New York University, New York, United States;Department of Neurosurgery, Center for Neuromodulation, NYU Langone Health, New York, United States;Department of Neurosurgery, Center for Neuromodulation, NYU Langone Health, New York, United States;Neuroscience Institute, NYU Langone Health, New York, United States;

关键词: subthalamic nucleus;    cognitive control;    basal ganglia;    systems neuroscience;    electrophysiology;    Human;   

DOI  :  10.7554/eLife.64893

来源: eLife Sciences Publications, Ltd

【 摘 要 】

The subthalamic nucleus (STN) is theorized to globally suppress movement through connections with downstream basal ganglia structures. Current theories are supported by increased STN activity when subjects withhold an uninitiated action plan, but a critical test of these theories requires studying STN responses when an ongoing action is replaced with an alternative. We perform this test in subjects with Parkinson’s disease using an extended reaching task where the movement trajectory changes mid-action. We show that STN activity decreases during action switches, contrary to prevalent theories. Furthermore, beta oscillations in the STN local field potential, which are associated with movement inhibition, do not show increased power or spiking entrainment during switches. We report an inhomogeneous population neural code in STN, with one sub-population encoding movement kinematics and direction and another encoding unexpected action switches. We suggest an elaborate neural code in STN that contributes to planning actions and changing the plans.

【 授权许可】

CC BY