{"version":"1.0","type":"rich","title":"Gist 4bbeb39fd0c727966cbbac7d8b41ebc1","description":"This notebook demonstrates a neuroimaging workflow that processes anatomical T1 brain images from five subjects in the ABIDE dataset. It uses FSL’s BET to create brain masks, FAST to segment gray matter, white matter, and CSF, and nilearn’s plotting tools to overlay masks and probability maps on the original scans. The code builds a nipype workflow with DataGrabber, DataSink, IdentityInterface, and Function nodes, then runs it iteratively over all subjects and visualizes the workflow graphs.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-4bbeb39fd0c727966cbbac7d8b41ebc1?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}