Published November 19, 2021
| Version v1
Dataset
Open
GC-PC_Cerebellar_Connectivity _Maps
Authors/Creators
- 1. Institut des Neurosciences Cellulaires et Intégratives, CNRS, Université de Strasbourg, 67084 Strasbourg, France
- 2. Aix-Marseille Université, Institut de Neurosciences des Systèmes, CNRS, Marseille, France
- 3. University of Strasbourg Institute for Advanced Studies (USIAS), 67084 Strasbourg, France
Description
Here we provide the dataset (raw electrophysiological recordings + processed data) used to build synaptic maps and compute graph properties in the following article: Cerebellar connectivity maps embody individual adaptive behavior in mice (Spaeth, Bahuguna et al.).
Just unzip the entire file to find the following elements:
RawData:
Electrophysiological recordings were recorded with WinWCP 4.2.2 freeware (John Dempster, SIPBS, University of Strathclyde, UK)
- Adaptive_Dataset: raw electrophysiological recordings, sorted by individual maps in each adaptive conditions (EC, early cuff; ES, early sham; LC, adapted cuff; LS, adapted sham; ENR, trained; WT, control). Mappings were performed at high-resolution (20*20µm).
Experimental info as well as file sorting are noted in the corresponding spreadsheets within the following notebook: Spaeth_Bahuguna_et_al_GCPC_Mappings_Adaptive_High_Res_Info.xlsx
- Development_Dataset: raw electrophysiological recordings, sorted by individual maps in developmental conditions (P9-P10; P12-P13; P14-P18; >P30). Mappings were performed at low-resolution (40*40µm).
Experimental info as well as file sorting are noted in the corresponding spreadsheets within the following notebook: Spaeth_Bahuguna_et_al_GCPC_Mappings_Development_Low_Res_Info.xlsx
Processed Data:
Files are saved in .csv format.
- Adaptive_Dataset: processed synaptic maps, sorted by individual maps in each adaptive conditions (EC, early cuff; ES, early sham; LC, adapted cuff; LS, adapted sham; ENR, trained; WT, control).
Measures of the Zebrin Bands are found in the following file:
Spaeth_Bahuguna_et_al_Measures_Zebrin_Adaptive_HighResDataset.xlsx - Development_Dataset: processed synaptic maps, sorted by individual maps in each developmental condition (P9-P10; P12-P13; P14-P18; >P30).
Measures of the Zebrin Bands are found in the following file:
Spaeth_Bahuguna_et_al_Measures_Zebrins_Development_LowRes_dataset.xlsx
Description of the files (also included in READ_ME.pdf):
- XXX_Positions_cp_centered_OK.csv: a vector containing the normalized, relative position along the mediolateral axis for map XXX
- XXX_Amp_max_OK.csv: a vector containing the maximal synaptic amplitude (in pA) in each column of map XXX, sorted along the mediolateral axis
- XXX_Amp_Noisemap_OK.csv: a matrix containing the synaptic noise (in pA) in site of map XXX
- XXX_Amp_Sigma_OK.csv: a matrix containing the standard deviation of the synaptic noise for the entire map XXX (identical value in each cell)
- XXX_Amp_zscore_2D_OK.csv: a matrix containing the z-score of each site in map XXX
- XXX_Amp_Zscore_max_OK.csv: a vector containing the maximal z-score in each column of map XXX, sorted along the mediolateral axis
- XXX_Files_List.csv: a list of the .wcp files used to generate map XXX
- XXX_Positions_OK.csv: a vector containing the absolute position along the mediolateral axis for map XXX
- XXX_Amp_2D_OK.csv: a matrix containing the average synaptic amplitude (in pA) recorded for each site of map XXX
- XXX_Zebrin_OK.csv: a vector containing the relative position of the Zebrin bands for map XXX
Files
SpaethBahugunaData.zip
Additional details
Funding
- Agence Nationale de la Recherche
- NetOnTime - Specific wiring rules implicate diverse temporal processing within cerebellar microcircuits ANR-19-CE16-0019
- Agence Nationale de la Recherche
- CeMod - Modular information processing in the cerebellum and movement disorders ANR-15-CE37-0001
- Agence Nationale de la Recherche
- SENCE - Movement disorders in Parkinson’s disease: The role of somatosensory deficits and cerebellar anomalies ANR-18-CE37-0018
- Agence Nationale de la Recherche
- MultiMod - Multi-modular Basis of Motor Adaptation and Learning ANR-19-CE37-0007