Drosophila central brain connectivity

See https://github.com/mhturner/SC-FC for analysis code and figure generation using this dataset<br><br>-StructuralMatrix_branson.csv and CorrelationMatrix_Branson.csv are the fine-grained Branson segmentation based structural and functional connectivity matrices shown in Fig. S3.<br>-body_ids.csv is the list of unique body ID numbers in the Hemibrain connectome that were used to compute structural connectivity.<br><br>data_TurnerMannClandinin:<br>Compressed directory containing these subdirectories (in <b>bold</b>):<b>-atlas_data</b> contains original Ito and Branson brain atlas/segmentation files<br><b></b><b>-ito_68_atlas</b> &amp; <b>branson_999_atlas</b> 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<br><br><b>-ito_responses</b> &amp; <b>branson_responses</b> 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.<br>-<b>connectome_connectivity</b> contains computed pandas dataframe files for various structural connectivity metrics, for the regions included in the main paper analysis<br>-<b>hemi_2_atlas</b> contains results of structural connectivity computations from R code included in the corresponding GitHub repository.<br><br>-<b>subsample</b> contains numpy data the result of the region subsampling analysis<br>-<b>template_brains</b> 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)<br>registration.xform.xipTransform file (CMTK format) to convert from JFRC2 template brain space, where the Ito atlas and Branson segmentation are, to JRC2018 template brain space<br><br>

请访问 https://github.com/mhturner/SC-FC 获取本数据集的分析代码与图像生成脚本

- 「StructuralMatrix_branson.csv」与「CorrelationMatrix_Branson.csv」为基于细粒度布兰森（Branson）分割的结构与功能连接矩阵，即补充图S3中展示的连接矩阵。
- 「body_ids.csv」为半脑连接组（Hemibrain connectome）中用于计算结构连接性的唯一躯体ID编号列表。

data_TurnerMannClandinin：
该压缩目录包含以下加粗标注的子目录：
**- atlas_data**：存储原始Ito与Branson大脑图谱/分割文件
**- ito_68_atlas** 与 **branson_999_atlas**：各自包含.nii.gz格式的图像文件，对应每只果蝇的配准大脑图谱掩码。掩码编号与`Original_Index_panda_full.csv`及`atlas_roi_values`中定义的脑区一一对应。
**- ito_responses** 与 **branson_responses**：各自存储pandas数据帧（pandas dataframe）文件，每只果蝇对应一个文件，记录该图谱中每个脑区的原始荧光响应信号，采样率为1.2 Hz。
**- connectome_connectivity**：存储针对主论文分析纳入的脑区的各类结构连接性指标的pandas数据帧文件。
**- hemi_2_atlas**：包含对应GitHub仓库中R代码生成的结构连接性计算结果。
**- subsample**：存储区域采样分析结果的numpy数据文件。
**- template_brains**：包含原始JFRC2模板脑空间的模板脑文件，以及转换至JRC2018模板脑空间的同名图谱（提供.tif与.nii.gz两种格式）。

此外还包含`registration.xform.xipTransform`文件（CMTK格式），用于将Ito图谱与Branson分割所在的JFRC2模板脑空间转换至JRC2018模板脑空间。