limo_tools
Hierarchical Linear Modelling for MEEG data
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: nature.com -
○Academic email domains
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.3%) to scientific vocabulary
Repository
Hierarchical Linear Modelling for MEEG data
Basic Info
- Host: GitHub
- Owner: LIMO-EEG-Toolbox
- License: other
- Language: MATLAB
- Default Branch: v4.0
- Homepage: https://limo-eeg-toolbox.github.io/limo_meeg/
- Size: 40 MB
Statistics
- Stars: 61
- Watchers: 19
- Forks: 28
- Open Issues: 25
- Releases: 7
Metadata Files
README.md
LInear MOdeling of MEEG data
The LInear MOdelling of MEEG data (LIMO MEEG) toolbox is a Matlab toolbox dedicated to the statistical analysis of MEEG data. Once data are imported, all computations are performed within the toolbox, and can thus work for any data sets from any software (e.g. EEGLAB, FieldTrip, BrainStorm). It is interfaced with EEGLAB (via STUDY) acting as a plug in ; it also uses topolot from EEGLAB for result visualization. In the LIMOFTintegration branch, ERP data from FieldTrip (scalp and source) can also be imported and processed.
This repository (master) is the stable version of LIMO MEEG (v3). A quick overview on how this can help you achieve a fully reproducbile workflow can see in the NeuroMatch YouTube video:
Installation
Have EEGLAB installed (because we call some functions) and LIMO in the plug-in directory. Data of each subject must be in subject specific folders -- ideally follow the Brain Imaging Data Structure making working with EEGLAB/FieldTrip/LIMO easier.
If you are using LIMO tools programmatically, make sure subfolders are in the matlab path
matlab
addpath([limo_folder filesep 'limo_cluster_functions']);
addpath([limo_folder filesep 'external']);
addpath([limo_folder filesep 'external' filesep 'psom']);
addpath([limo_folder filesep 'help']); addpath([limo_folder filesep 'deprecated']
LIMO 3.0 has been tested with EEGLAB 2021.0. This test script runs nightly to make sure LIMO remains stable.
Documentation
The wiki provides documentation on the various tools available and files created.
We also have a full tutorial taking you through an analysis.
Questions
Best to use the discussion forums like the eeglab mailing list or neurostar (tagging people) for general analysis questions.
You can also email directly or raise a github issue, in particular for bugs.
Citation and method reporting
Published papers related to the method(s) used here are listed in the citations.nbib file. More generally, we recommended using boilerplate texts from the wiki.
LIMO tutorial dataset
The tutorial uses data prepared using EEG-BIDS avaialble here: https://openneuro.org/datasets/ds002718/versions/1.0.2. There is also an older dataset that can be downloaded here: http://datashare.is.ed.ac.uk/handle/10283/2189.
Contribute
No brainer --> comment on anything you want (usage/doc/design) in free format on this google doc
Push any changes, submit pull request against the HotFixes branch.
Anyone is welcome to contribute ! check here how you can get involved, the code of conduct. Contributors are listed here
Owner
- Name: LIMO MEEG
- Login: LIMO-EEG-Toolbox
- Kind: organization
- Location: https://limo-eeg-toolbox.github.io/limo_meeg/
- Website: https://www.hindawi.com/journals/cin/2011/831409/
- Repositories: 9
- Profile: https://github.com/LIMO-EEG-Toolbox
This is the official repo for the LIMO MEEG toolbox, a toolbox for modern and robust statistical analysis of human electrophysiological data
Citation (CITATION.cff)
cff-version: 1.3.0
title: LIMO MEEG
authors:
- family-names: "Pernet"
given-names: "Cyril"
orcid: "https://orcid.org/0000-0003-4010-4632"
version: "3.2"
date-released: 2021-08-13
license: "MIT"
repository-code: "https://github.com/LIMO-EEG-Toolbox/limo_tools"
message: "If you use this software, please cite relevant articles below."
references:
- type: article
authors:
- family-names: "Pernet"
given names: "Cyril"
- family-names: "Chauveau"
given names: "Nicolas"
- family-names: "Gaspar"
given names: "Carl"
- family-names: "Rousselet"
given names: "Guillaume"
title: "LIMO EEG: a toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic
data."
journal: "Computational intelligence and neuroscience"
date-published: 2011
number-volumes: 2011
pages: 831409
doi: 10.1155/2011/831409
- type: article
authors:
- family-names: "Pernet"
given names: "Cyril"
- family-names: "Latinus"
given names: "Marianne"
- family-names: "Nichols"
given names: "Thomas"
- family-names: "Rousselet"
given names: "Guillaume"
title: "Cluster-based computational methods for mass univariate analyses of event-related
brain potentials/fields: A simulation study."
journal: "Journal of neuroscience methods"
date-published: 2015
number-volumes: 250
pages: 85-93
doi: 10.1016/j.jneumeth.2014.08.003
- type: article
authors:
- family-names: "Pernet"
given names: "Cyril"
- family-names: "Martinez-Cancino"
given names: "Ramon"
- family-names: "Truong"
given names: "Dung"
- family-names: "Makeig"
given names: "Scott"
- family-names: "Delorme"
given names: "Arnaud"
title: "From BIDS-Formatted EEG Data to Sensor-Space Group Results: A Fully Reproducible
Workflow With EEGLAB and LIMO EEG"
journal: "Frontiers in Neuroscience"
date-published: 2021
number-volumes: 14
pages: 610388
doi: 10.3389/fnins.2020.610388
- type: article
authors:
- family-names: "Pernet"
given names: "Cyril"
- family-names: "Suay Mas"
given names: "Ignacio"
- family-names: "Rousselet"
given names: "Guillaume"
- family-names: "Martinez"
given names: "Ramon"
- family-names: "Wilcox"
given names: "Rand"
- family-names: "Delorme"
given names: "Arnaud"
title: "Electroencephalography robust statistical linear modelling
using a single weight per trial"
journal: "Aperture Neuro"
date-published: 2022
number-volumes: 1(7)
pages: 1-19
doi: 10.52294/2e69f7cc-f061-40ad-ad77-017110464dfd
GitHub Events
Total
- Create event: 2
- Issues event: 16
- Watch event: 2
- Delete event: 1
- Issue comment event: 28
- Member event: 1
- Push event: 56
- Pull request review event: 4
- Pull request review comment event: 5
- Pull request event: 7
- Fork event: 1
Last Year
- Create event: 2
- Issues event: 16
- Watch event: 2
- Delete event: 1
- Issue comment event: 28
- Member event: 1
- Push event: 56
- Pull request review event: 4
- Pull request review comment event: 5
- Pull request event: 7
- Fork event: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 8
- Total pull requests: 3
- Average time to close issues: about 2 months
- Average time to close pull requests: 1 minute
- Total issue authors: 6
- Total pull request authors: 2
- Average comments per issue: 1.38
- Average comments per pull request: 0.33
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 8
- Pull requests: 3
- Average time to close issues: about 2 months
- Average time to close pull requests: 1 minute
- Issue authors: 6
- Pull request authors: 2
- Average comments per issue: 1.38
- Average comments per pull request: 0.33
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- arnodelorme (4)
- sbwinward (3)
- Bysmuth (1)
- ege-kingir (1)
- sato16 (1)
- schoffelen (1)
- history1125 (1)
- NirOfir (1)
- robertoostenveld (1)
- sgovindaswamy (1)
- Satoshi-Young (1)
- npdrbong (1)
- helentobback (1)
- jnvandermeer (1)
- mariajribeiro (1)
Pull Request Authors
- schoffelen (5)
- CPernet (4)
- amisepa (1)
- sahcanozdemir (1)