{"id":19252350,"url":"https://github.com/sccn/eeg_pipelines","last_synced_at":"2025-09-04T16:43:31.420Z","repository":{"id":75173142,"uuid":"530469409","full_name":"sccn/eeg_pipelines","owner":"sccn","description":null,"archived":false,"fork":false,"pushed_at":"2023-07-25T00:02:37.000Z","size":41498,"stargazers_count":66,"open_issues_count":0,"forks_count":8,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-04-21T13:38:35.987Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sccn.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-08-30T02:31:45.000Z","updated_at":"2025-03-17T22:17:15.000Z","dependencies_parsed_at":"2024-11-09T18:37:50.485Z","dependency_job_id":null,"html_url":"https://github.com/sccn/eeg_pipelines","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sccn/eeg_pipelines","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sccn%2Feeg_pipelines","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sccn%2Feeg_pipelines/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sccn%2Feeg_pipelines/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sccn%2Feeg_pipelines/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sccn","download_url":"https://codeload.github.com/sccn/eeg_pipelines/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sccn%2Feeg_pipelines/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273641078,"owners_count":25142242,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-04T02:00:08.968Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-09T18:26:33.327Z","updated_at":"2025-09-04T16:43:31.410Z","avatar_url":"https://github.com/sccn.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"![Screen Shot 2023-03-13 at 8 48 38 PM](https://user-images.githubusercontent.com/1872705/224918420-88cecd89-7335-4f84-b8bd-7597d30b8b70.png)\n\n# Why is EEG better left alone?\n\nThe best is to read the article. In short, for standard, relatively clean EEG, removing artifacts cannot compensate for the loss of statistical power due to the reduced number of data trials. \n\nhttps://www.nature.com/articles/s41598-023-27528-0\n\n# Content of this repository\n\nThis repository contains 4 stand-alone pipelines (along with one test dataset), in EEGLAB, Fieldtrip, Brainstorm, and MNE. There is also a link to the HAPPE EEGLAB-based pipeline. The pipelines have been optimized to process event-related potential and are described in the manuscript above. The pipelines run on the sample data provided here. They do require a separate installation of the corresponding software packages.\n\nBased on our scanning of the parameter space for artifact rejection and preprocessing, these are the **best EEG pipelines** for EEGLAB, Fieldtrip, Brainstorm, and MNE to process ERP. Test them yourself by plugging in your data.\n\n# Associated videos\n\n* [What is the optimal automated EEG pre-processing pipeline](https://www.youtube.com/watch?v=mW7u2YEK3ZY)\n* [What is the best reference?](https://www.youtube.com/watch?v=ioIETUX4G4k)\n* [What is the optimal ERP baseline?](https://www.youtube.com/watch?v=2wS7-XILNso)\n* [Designing an EEGLAB automated pipeline](https://www.youtube.com/watch?v=yaA1wq2nSIc)\n* [Designing an FieldTrip automated pipeline](https://www.youtube.com/watch?v=5DcMdqrZ4us)\n* [Designing an MNE automated pipeline](https://www.youtube.com/watch?v=31N8WHioQ3U)\n* [Designing an Brainstorm automated pipeline](https://www.youtube.com/watch?v=8Wyhu2cecCU)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsccn%2Feeg_pipelines","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsccn%2Feeg_pipelines","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsccn%2Feeg_pipelines/lists"}