Structural Data Analysis

Esteban, Oscar, Christopher Markiewicz, Ross W Blair, Craig Moodie, Ayse Ilkay Isik, Asier Erramuzpe Aliaga, James Kent, et al. 2019. "fMRIPrep: A Robust Preprocessing Pipeline for Functional MRI." Nature Methods 16: 111–16. https://doi.org/10.1038/s41592-018-0235-4.
Fischl, B. (2012). FreeSurfer. Neuroimage, 62(2), 774-781.
Dale, Anders M., Bruce Fischl, and Martin I. Sereno. 1999. "Cortical Surface-Based Analysis: I. Segmentation and Surface Reconstruction." NeuroImage 9 (2): 179–94. https://doi.org/10.1006/nimg.1998.0395.
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Structural MRI data were processed using sMRIPrep by calling fMRIPrep with the --anat-only
flag, which run the following steps: correction for intensity non-uniformity, skull-stripping with ANTs’ brain extraction workflow, and reconstruction of cortical surfaces using FreeSurfer.
<fmriprep_anat_output>/logs/CITATION.html
. If the data were processed with BABS (i.e., were zipped), refer to Get Data for details on unzipping <fmriprep_anat_output>
to access the boilerplate file.
FreeSurfer outputs were further processed using FreeSurfer-Post which produced tabulated FreeSurfer data that were parcellated using 27 anatomical, functional, and multimodal atlases such as Desikan Killiany, Glasser, Gordon, and multiple resolutions of the Schaefer parcellation, among others.
Outputs from this pipeline include commonly used measures of brain structure such as regional surface area, cortical thickness, gray matter volume, and folding and curvature indices. Moreover, summary brain measures such as total intracranial volume, ventricle size, and mean and standard deviation of various measures (e.g., cortical thickness, surface area) are provided for the whole brain and per hemisphere. Tabulated data are also accompanied by .json files describing each structural feature in detail.