Dataset for Basal Ganglia-Spinal Cord Pathway that Commands Locomotor Gait Asymmetries

Dataset for Basal Ganglia-Spinal Cord Pathway that Commands Locomotor Gait Asymmetries Nature Neuroscience, 2024 ----------------------------------------------------------------------------------------------------------------------- Authors: Jared M. Cregg*, Simrandeep K. Sidhu, Roberto Leiras, Ole Kiehn* *Co-corresponding authors ----------------------------------------------------------------------------------------------------------------------- Data Organization and Structure: This repository contains primary data associated with specific figure panels, and the MATLAB scripts used to analyze the data and generate figure content. There are 18 folders, each named according to the figure number, panel, and a brief description of the experiment. Each folder contains: Preprocessed raw videos: ".avi" format, file name is structured "AnimalID#_Experiment_Trial#" DeepLabCut tracking files: ".csv" format, file name is structured "AnimalID#_Experiment_Trial#Network" Labeled Videos: ".mp4" format, file name is structured "AnimalID#_Experiment_Trial#Network" MATLAB script for analysis and figure generation ----------------------------------------------------------------------------------------------------------------------- How to Use the Data: Download and extract the ZIP file. Navigate to the specific figure-panel folder of interest. Run the MATLAB script(s) to reproduce the analysis and the figure. Script produces a ".xlsx" results file and a figure in MATLAB. ----------------------------------------------------------------------------------------------------------------------- Dependencies and Requirements: MATLAB version R2021a ----------------------------------------------------------------------------------------------------------------------- Please cite the following when using this data: Cregg JM, Sidhu SK, Leiras R, Kiehn O. (2024) Basal ganglia-spinal cord pathway that commands locomotor gait asymmetries. Nat Neurosci [Volume:Pages] For the complete citation, please refer to the final published article in Nature Neuroscience. ----------------------------------------------------------------------------------------------------------------------- Acknowledgments: This work was supported by: The Lundbeck Foundation (R347-2020-2393) to J.M.C. Neuroscience Academy Denmark to S.K.S. The European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (REP-SCI-693038) to O.K. The Novo Nordisk Laureate Program (NNF15OC0014186) to O.K. The Lundbeck Foundation (R276-2018-183 and R345-2020-1769) to O.K. The Independent Research Fund Denmark to O.K. Portions of the code used to analyze data and produce figure content was generated with assistance from ChatGPT (GPT-4) by OpenAI. ----------------------------------------------------------------------------------------------------------------------- Contact: For any queries or clarifications regarding the data, please contact: Jared M. Cregg [e-mail] Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. or Ole Kiehn [e-mail] Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. ----------------------------------------------------------------------------------------------------------------------- License: This data is shared under the Creative Commons Attribution 4.0 International License. For more details, refer to the LICENSE file.