{"version":"1.0","type":"rich","title":"Gist a253f619b0b60f855f45","description":"The notebook explores resting-state EPIC data by loading subcortical time-series from a CSV file into a pandas DataFrame, displaying the first rows to inspect voxel-level signal values alongside spatial coordinates. It uses `pd.read_csv` to parse the tabular file, which contains columns for voxel labels and time points, and `%pylab inline` to enable matplotlib plotting within the notebook. The description highlights raw time-series data before any averaging or smoothing, showing the initial structure of the dataset for a single subject.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-a253f619b0b60f855f45?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}