{"version":"1.0","type":"rich","title":"Gist f28ea71aa261d47cf5277019bc65887e","description":"This example shows how to update a MongoDB database with neuroimaging metrics derived from FreeSurfer, using a JSON file as the data source. The notebook loads brain volume measurements and associated demographic metadata, then prepares them for database insertion. It uses pandas for data manipulation, nipype's `load_json` and `save_json` for file handling, and pymongo to interact with the MongoDB collection. The visualization highlights the structure of FreeSurfer-derived brain metrics alongside study-specific metadata fields.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-f28ea71aa261d47cf5277019bc65887e?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}