{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"MoCo","owner":"thebrisklab","isFork":false,"description":"R package for motion control in MRI studies","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T17:41:43.321Z"}},{"type":"Public","name":"Presentations","owner":"thebrisklab","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-30T18:11:06.566Z"}},{"type":"Public","name":"EyeTrackingFMRI","owner":"thebrisklab","isFork":false,"description":"Analysis of the simultaneous eye-tracking and movie-watching fMRI data. Includes 1) task activation modeling using the general linear model and 2) covariance regression.","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T15:42:26.740Z"}},{"type":"Public","name":"ABIDE_Preprocessing","owner":"thebrisklab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Shell","color":"#89e051"},"pullRequestCount":0,"issueCount":1,"starsCount":2,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-08T15:55:12.092Z"}},{"type":"Public","name":"SparseICA","owner":"thebrisklab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":1,"starsCount":2,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-14T18:07:01.911Z"}},{"type":"Public","name":"singR","owner":"thebrisklab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-08T00:28:32.964Z"}},{"type":"Public","name":"Modern-Regression-Analysis-Fall2023","owner":"thebrisklab","isFork":false,"description":"Materials supporting BIOS 526 Emory University Fall 2023","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-09T15:22:51.609Z"}},{"type":"Public","name":"DiffusionMultiband","owner":"thebrisklab","isFork":false,"description":"Optimal acceleration in diffusion MRI","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-03-21T14:22:17.780Z"}},{"type":"Public","name":"CJIVE","owner":"thebrisklab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-01-18T18:02:54.394Z"}},{"type":"Public","name":"Modern-Regression-Analysis","owner":"thebrisklab","isFork":false,"description":"R code and datasets supporting BIOS 526 at Emory University","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":6,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-05T17:25:18.740Z"}},{"type":"Public","name":"SING-example","owner":"thebrisklab","isFork":false,"description":"simple example by Liangkang Wang","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-31T18:18:23.894Z"}},{"type":"Public","name":"DeconfoundedFMRI","owner":"thebrisklab","isFork":false,"description":"DRTMLE to address sampling biases in neuroimaging","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":2,"starsCount":1,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-30T15:43:50.398Z"}},{"type":"Public","name":"Group_LNGCA_for_Neuroimaging","owner":"thebrisklab","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-21T12:47:01.198Z"}},{"type":"Public","name":"RestingStateMultiband","owner":"thebrisklab","isFork":false,"description":"Scripts supporting \"Which multiband factor should you choose for your resting-state fMRI study?\"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-01-20T16:17:21.358Z"}},{"type":"Public","name":"Likelihood-component-analysis-LNGCA","owner":"thebrisklab","isFork":false,"description":"Linear non-Guassian component analysis via maximum likelihood","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-10-14T01:18:06.458Z"}},{"type":"Public","name":"SING","owner":"thebrisklab","isFork":true,"description":"SING method implementation and code to reproduce results in corresponding paper","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-10-06T12:37:37.859Z"}},{"type":"Public","name":"Comment-on-QSM-Reproducibility","owner":"thebrisklab","isFork":false,"description":"Code supporting the comment on Cogswell et al 2021, NeuroImage","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-08-20T13:20:51.092Z"}},{"type":"Public","name":"SpatialACE","owner":"thebrisklab","isFork":true,"description":"Estimate the spatial additive genetic, common environmental, and unique environmental model for cortical surface data","allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":2,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-05-01T19:20:02.926Z"}},{"type":"Public","name":"Visualization-of-impact-of-initialization-of-MELODIC-estimation","owner":"thebrisklab","isFork":true,"description":"Visualization for the impact of multiple initializations in optimization of independent components in fMRI when using MELODIC software","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-05-11T00:55:09.494Z"}}],"repositoryCount":19,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}