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

Citation

London, Dennis et al. (2021), Distinct population code for movement kinematics and changes of ongoing movements in human subthalamic nucleus, Dryad, Dataset, https://doi.org/10.5061/dryad.2jm63xsq2

Abstract

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. Further, 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.

Usage Notes

This dataset contains raw and processed data for subjects completing the Interrupted Reach task during STN micro-electrode recordings. Each subject folder (e.g. Sub01) contains the raw electrophysiology data, the sorted spikes, and the behavioral data as .mat files. Time-frequency data for the LFP is provided for each subject in the "CWT_mean" folder. The analytic signal of the data filtered in the beta frequency range is in the "Hilbert_beta_mean" folder. The PPC folders contain the pairwise phase consistency data for each subject. The processed_data.mat file contains a structure with all subjects' spiking and behavioral related data. It does not contain LFP data.

Funding

Simons Collaboration on the Global Brain, Award: 542997,543009

McKnight Scholar Award

Pew Scholarship in the Biomedical Sciences

National Institutes of Mental Health R01, Award: MH109180-01