https://github.com/brainets/seeg-ebrains
Scripts for loading and analyzing SEEG datasets present on EBRAINS
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
✓Academic publication links
Links to: biorxiv.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (4.8%) to scientific vocabulary
Repository
Scripts for loading and analyzing SEEG datasets present on EBRAINS
Basic Info
- Host: GitHub
- Owner: brainets
- License: bsd-3-clause
- Language: Jupyter Notebook
- Default Branch: main
- Size: 8.51 MB
Statistics
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Tools for the analysis of intracranial SEEG data from EBRAINS
Jupyter notebooks for the analysis of task-related iEEG data from the Human Intracranial Database (HID) of EBRAINS using information theoretical measures and task-related functional connectivity implemented in the Frites Python toolbox.
The repository contains scripts for loading, preprocessing and analyzing task-related iEEG data of the HID present on EBRAINS.
It also contains Matlab code for Shape Mediation Analysis based on this preprint https://biorxiv.org/cgi/content/short/2023.09.21.558808v1
The HID dataset is on the EBRAINS Data and Knowledge service and there are 3 cohorts for a total of N=70 https://kg.ebrains.eu/search/instances/Dataset/02423f5246192a2844e05ad0434490e0
This project has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3).
Owner
- Name: BraiNets
- Login: brainets
- Kind: organization
- Website: https://brainets.github.io/
- Repositories: 4
- Profile: https://github.com/brainets
Brain Networks and Learning