Drosophila central brain connectivity

See https://github.com/mhturner/SC-FC for analysis code and figure generation using this dataset

-StructuralMatrix_branson.csv and CorrelationMatrix_Branson.csv are the fine-grained Branson segmentation based structural and functional connectivity matrices shown in Fig. S3.

-body_ids.csv is the list of unique body ID numbers in the Hemibrain connectome that were used to compute structural connectivity.

data_TurnerMannClandinin:

Compressed directory containing these subdirectories (in bold):

-atlas_data contains original Ito and Branson brain atlas/segmentation files

-ito_68_atlas & branson_999_atlas each contain .nii.gz image files containing the registered brain atlas mask for each fly. The mask numbers correspond to the regions as in Original_Index_panda_full.csv and atlas_roi_values

-ito_responses & branson_responses each contain pandas dataframes, one for each fly, describing raw fluorescence responses for each brain region in that atlas. The sampling rate is 1.2 Hz.

-connectome_connectivity contains computed pandas dataframe files for various structural connectivity metrics, for the regions included in the main paper analysis

-hemi_2_atlas contains results of structural connectivity computations from R code included in the corresponding GitHub repository.

-subsample contains numpy data the result of the region subsampling analysis

-template_brains contains template brain files in the original (JFRC2) brain template space as well as the same atlases transformed to JRC2018 space (in both .tif and .nii.gz format)

Transform file (CMTK format) to convert from JFRC2 template brain space, where the Ito atlas and Branson segmentation are, to JRC2018 template brain space