Subject	Neuroscience, Biological Psychiatry
Specific subject area	Functional MRI connectivity in transgender and cisgender variants
Type of data	Brain MRI images & Correlation matrices Supplementary Tables & Figures
How data were acquired	Magnetic resonance images were acquired with a 3T scanner (MAGNETOM Trio, Siemens, Germany), using an 8-channel head coil. Software: AFNI for imaging basic resting-state pre-processing Python + FSL for ICA-AROMA noise correction FSL for non-parametric statistical imaging analysis Matlab for correlation connectivity matrices
Data format	Raw and analyzed data in nifti (.nii.gz) and Matlab (.mat) formats
Parameters for data collection	T1-weighted images: TR = 2,300 ms, TE = 2.98 ms, TI = 900 ms, flip angle = 9°, matrix size = 256 × 256 mm, 240 slices, resolution = 1 mm isotropic, bandwidth = 240 Hz/pixel, total scan time of 7.48 minutes. T2*-weighted gradient-echo echo planar imaging was acquired in the resting-state: TR = 2,500s, TE = 28ms, flip angle = 80°, matrix size = 256 × 256, 40 slices, resolution = 3 mm isotropic, bandwidth = 2404 Hz/pixel, volumes = 240 (total scan time of 10 minutes), no in-plane GRAPPA, through-plane multiband or any Partial Fourier were used.
Description of data collection	Participants were instructed to keep their eyes closed, not to fall asleep and not to think of anything in particular.
Data source location	University of Barcelona, Barcelona
Data accessibility	Mendeley data repositories: doi:https://doi.org/10.17632/hjmfrv6vmg.2[2], original T1- and T2*-weighted images of both transgender and cisgender individuals. doi:https://doi.org/10.17632/dn82xj4bft.3[3], processed resting-state functional magnetic resonance images (fMRI) of transgender individuals for Independent Component Analysis (ICA, MNI registered and smoothed). doi:https://doi.org/10.17632/zt27ykdrgr.4[4], processed resting-state fMRI of cisgender individuals for ICA (MNI registered and smoothed). doi:https://doi.org/10.17632/rw2yhtpj96.3[5], processed resting-state fMRI of transgender individuals for seed-based and graph-theory analyses (MNI registered, unsmoothed). doi:https://doi.org/10.17632/bgyzz94mz9.3[6], processed resting-state fMRI of cisgender individuals for seed-based and graph-theory analyses (MNI registered, unsmoothed). doi:https://doi.org/10.17632/ts8c7fm8dj.1[7], supplementary data including connectivity matrices, graph-theory measures and ICA spatial maps.
Related research article	Authors: Carme Uribe, Carme Junque, Esther Gómez-Gil, Alexandra Abos, Sven C. Mueller and Antonio Guillamon Title: Brain network interactions in transgender individuals with gender incongruence Journal: Neuroimage 2020 Vol 211, 116613