DOI: 10.5061/dryad.1vhhmgqzx
title: Data for: Roles of the cerebellar vermis in predictive postural controls against external disturbances

description: The central nervous system predictively controls posture against external
 disturbances; however, the detailed mechanisms remain unclear. We tested
 the hypothesis that the cerebellar vermis plays a substantial role in
 acquiring predictive postural control by using a standing task with floor
 disturbances in rats. The intact, lesioned, and sham groups of rats
 sequentially underwent 70 conditioned floor-tilting trials, and kinematics
 were recorded. Six days before these recordings, only the lesion group
 underwent focal suction surgery targeting vermal lobules Ⅳ-Ⅷ. In the naïve
 stage of the sequential trials, the upright postures and fluctuations due
 to the disturbance were mostly consistent among the groups. Although the
 pattern of decrease in postural fluctuation due to learning corresponded
 among the groups, the learning rate estimated from the lumbar displacement
 was significantly lower in the lesion group than in the intact and sham
 groups (approximately 35% of the sham group). These results suggest that
 the cerebellar vermis contributes to predictive postural control.
description: # Title of Dataset: Roles of the cerebellar vermis in predictive postural
 controls against external disturbances * [Access this dataset on
 Dryad](https://doi.org/10.5061/dryad.1vhhmgqzx) * In this study, we tested
 the hypothesis that the cerebellar vermis plays a substantial role in
 acquiring predictive postural control by using a standing task with floor
 disturbances in rats. The intact, lesioned, and sham groups of rats
 sequentially underwent floor-tilting trials, and kinematics were recorded.
 Although the pattern of decrease in postural fluctuation due to learning
 corresponded among the groups, the learning rate was significantly lower
 in the lesion group than in the intact and sham groups. # File structure
 and overview ## About kinematic data * In this study, rats applied with
 black ink markers were recorded using high-speed cameras, 2D coordinates
 of the markers on the cameras were determined using DeepLabCut (DLC), and
 3D coordinates of the markers were determined using DLT method. Data.zip
 contains the 3D marker coordinate data files in the form of csv. * The
 data for each rat in intact and lesion groups ("RXXX") is in the
 following folders: "Data.zip/data/YYYYYY_RXXX" * If there are
 any trials in which the data spans two files, the second files (results of
 manual digitization) are in the following subfolders:
 "Data.zip/data/YYYYYY_RXXX/RXXX_dipp" * The data for each rat in
 sham group ("SXXX") is in the following folder:
 "Data.zip/data/220228_220307_S2101-6" * The file name and folder
 for each trial are listed in the "fileName" and
 "folder" columns of "files3.xlsx". If the data spans
 two files, also listed in the "fileName2" and
 "folder2" columns. * If the digitized data by DLC do not meet
 the standards ("likelihood") stated in the paper, if it is
 obviously digitized incorrectly, or if the time window is outside the
 scope of this study, the field is left blank or marked with
 "nan" or "*". ## About executable program and its
 accompanying information * Programs.zip contains executable program for
 outputting research results (including figures) from kinematics data
 (main.py), the collection of functions used there (programs.py),
 information on each trial (files3.xlsx) , marker and segment definitions
 (markerList.xlsx and segList210921.xlsx), and information on data excluded
 from the analyses as outliers (elimFromPaper2.xlsx and
 elimFromPaperCrest.xlsx). ## About DLC files * DLC.zip contains the DLC
 configuration file (config.yaml) and trained network folder
 (shamMar26-trainset95shuffle1). # Description of each file ## About
 kinematic data files (csv) * The rows and columns indicate frames (200 Hz,
 the first frame corresponds to conditioning stimulus) and 3D coordinates
 of markers, respectively. * Markers are in the order listed in
 "markerList.xlsx" (described later). * x:
 forward(+)/backward(-), y: left(+)/right(-), z: upward(+)/downward(-) . ##
 main.py * The Python program to derive research results from kinematics.
 This research was conducted using Python version 3.7.4. * Definitions of
 parameters: * "E", "E2": information on whether to
 execute each program in the file. * "I": basic information
 necessary for the analyses, such as marker list and data excluded from the
 analyses. * "AS": an array representing trial numbers (rows in
 files3.xlsm) divided into the groups (intact, lesion, and sham). *
 "AS2": of the above trial numbers ("AS"), 8 trials in
 the early and final stages of learning are extracted. * "fAS":
 expansion of the AS or AS2 into a one-dimensional list. * "dTS"
 (before line 530): collection of analysis results (time series). The keys
 "M", "S", and "CREST" represent the marker
 coordinates, segment angle (segments are described in
 "paperSegL" parameter), and horizontal coordinates of the iliac
 crest marker, respectively. * "dSV": collection of analysis
 results (scalar). The keys "light", "ts", and
 "t60" represent the segment angles at the light off, start of
 floor tilts, and 60 frames after the tilt start. The keys
 "ts-light" and "t60-ts" represent the changes in
 segment angles between those time points. * "a",
 "a2-10", "b0-7", "c0-10", "d",
 "d2"-"d10": transformations of dSV or d60 for
 statistical analyses and figure outputs. * "dTS" (from line
 530), "d60": time series of iliac crest marker coordinates and
 the coordinates 60 frames after the start of floor tilts. *
 "tiltNum", "tiltNumPack": number of floor-tilting
 trials. * "AB", "AB2", "AB_av": parameters
 and their transformation in the learning equation. AB[0] and AB[1]
 represent parameters A and B in equation (1) (see paper), respectively. ##
 files3.xlsx * This file contains information for each trial (row). *
 Description of columns: * "gyoAS": ID shared with other excel
 files (described later) to identify the trial number. * "group":
 intact ("i"), lesion ("l"), or sham ("s")
 groups. * "rat": rat ID. * "fileType": indicates
 whether the kinematic data was digitized with DLC only ("dlc"),
 manually ("dipp"), or a mixture of those ("dlc-dipp").
 * "folder" and "fileName": folder and file names of
 kinematic data. * "folder2" and "fileName2": second
 folder and file names if the kinematic data spans two files. *
 "markerList": list of markers included in kinematic data
 (specifically listed in "markerList.xlsx") *
 "notIncHead", "outFootAgl", "outNose":
 "1" is entered if head segment, foot segment, and nose marker
 are excluded from the analyses, respectively. * "tilt":
 "1" is entered for trials in which the floor tilted (trials in
 which the floor did not tilt due to malfunction were excluded from the
 analyses), respectively. * "tiltNum": the number of tilting
 trials experienced by each rat. * "4soku": "1" is
 entered if the rat is unable to keep standing with their hind limbs until
 the floor tilts. ## markerList.xlsx * This file contains lists of markers.
 * Rows and columns are the names of markers and marker lists,
 respectively. The number in each cell represents the order of a marker in
 each marker list. ## elimFromPaper2.xlsx * A list of segment and time
 information that was excluded from the analyses due to outliers or
 missing. "1" is entered for the corresponding time. *
 Description of columns: * "fileName": file name (trial name)
 corresponding to "fileName" in files3.xlsx. * "gyo":
 trial ID corresponding to "gyoAS" in files3.xlsx *
 "segment": segment excluded from the analysis. *
 "light", "light-ts", "ts",
 "ts-t60", "t60": timings and time windows mentioned
 above. * "Biko": a short note explaining the reason for
 exclusion. ## elimFromPaperCrest.xlsx * Contains a list (rows) of trials
 in which the iliac crest was excluded from the analysis. * Description of
 columns: * "gyo": trial ID corresponding to "gyoAS" in
 files3.xlsx * "note": a note explaining the reason for
 exclusion. * "elimStat": "1" is entered if the frame
 after the floor tilt is excluded from the analysis. * "start",
 "end": first and last frames in the excluded time window (the
 start of floor tilting is set to 0). ## segList210921.xlsx * Contains
 information such as markers that define each segment. * Of the segments
 listed here, those used in the paper are listed in the
 "paperSegL" parameter in main.py. * Description of columns: *
 "t1", "t2": markers at both ends of the segment. *
 "t1sub", "t2sub": the second marker if the end of the
 segment is defined by two markers. * "target": initial values
 for calculating time series of segment angles.