{"action":"opened","issue":{"url":"https://api.github.com/repos/TIGRLab/admin/issues/540","repository_url":"https://api.github.com/repos/TIGRLab/admin","labels_url":"https://api.github.com/repos/TIGRLab/admin/issues/540/labels{/name}","comments_url":"https://api.github.com/repos/TIGRLab/admin/issues/540/comments","events_url":"https://api.github.com/repos/TIGRLab/admin/issues/540/events","html_url":"https://github.com/TIGRLab/admin/issues/540","id":153888364,"number":540,"title":"xbrain analysis todo","user":{"login":"josephdviviano","id":4142570,"avatar_url":"https://avatars.githubusercontent.com/u/4142570?v=3","gravatar_id":"","url":"https://api.github.com/users/josephdviviano","html_url":"https://github.com/josephdviviano","followers_url":"https://api.github.com/users/josephdviviano/followers","following_url":"https://api.github.com/users/josephdviviano/following{/other_user}","gists_url":"https://api.github.com/users/josephdviviano/gists{/gist_id}","starred_url":"https://api.github.com/users/josephdviviano/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/josephdviviano/subscriptions","organizations_url":"https://api.github.com/users/josephdviviano/orgs","repos_url":"https://api.github.com/users/josephdviviano/repos","events_url":"https://api.github.com/users/josephdviviano/events{/privacy}","received_events_url":"https://api.github.com/users/josephdviviano/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2016-05-09T22:56:34Z","updated_at":"2016-05-09T22:56:34Z","closed_at":null,"body":"- [x] find all behavioural data for DTI sample\r\n    - [x] TASIT <- we're going to do our first analysis using this\r\n    - [x] PANSS\r\n    - [x] RMET\r\n    - [x] demographics\r\n- [x] calculate 'normal' scores in the healthy control group, find 8 (1/3) of the most normal subjects.\r\n    - see `/mnt/tigrlab/jdv-lifeboat/projects/data/xbrain/assets/template.csv`\r\n- [ ] calculate mean brain activity within each ROI across these subjects to come up with template brain.\r\n- [ ] calculate correlation of each ROI in subject with the template.\r\n"}}