Native space mesh descriptors computed with FreeSurfer 6 for all ABIDE I subjects
Description
# ABIDE I FreeSurfer 6 'native space descriptors' data
This archive contains the following ABIDE I FreeSurfer 6 native space mesh descriptors:
thickness, area, volume, sulc, curv, jacobian_white.
## Credits
This data is derived from the MRI scans of the ABIDE I dataset:
* ABIDE I dataset: https://fcon_1000.projects.nitrc.org/indi/abide/
Quoting from that website:
"The Autism Brain Imaging Data Exchange I (ABIDE I) represents the first
ABIDE initiative. Started as a grass roots effort, ABIDE I involved 17
international sites, sharing previously collected resting state functional
magnetic resonance imaging (R-fMRI), anatomical and phenotypic datasets
made available for data sharing with the broader scientific community.
This effort yielded 1112 dataset, including 539 from individuals with
ASD and 573 from typical controls (ages 7-64 years, median 14.7 years
across groups). This aggregate was released in August 2012. Its
establishment demonstrated the feasibility of aggregating resting
state fMRI and structural MRI data across sites; the rate of these
data use and resulting publications (see Manuscripts) have shown its
utility for capturing whole brain and regional properties of the brain
connectome in Autism Spectrum Disorder (ASD). In accordance with
HIPAA guidelines and 1000 Functional Connectomes Project / INDI
protocols, all datasets have been anonymized, with no protected
health information included."
Citation: Di Martino, A., Yan, C. G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., ... & Milham, M. P. (2014).
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Molecular psychiatry, 19(6), 659-667.
## How this data was produced
The following steps were used to create the data:
* We downloaded all available MRI scans for the ABIDE I subjects (1035 subjects).
* We pre-processed all subjects in FreeSurfer version 6 (https://freesurfer.net) by running the full recon-all pipeline for each subject.
- We did not run any quality metrics on the scans or exclude any subjects.
## Contained files
* In order to reduce the size of this dataset, for each subject, we only included the following files:
- <subject>/surf/lh.thickness : the per-vertex cortical thickness for the left hemisphere
- <subject>/surf/rh.thickness : the per-vertex cortical thickness for the right hemisphere
- <subject>/surf/lh.area : the per-vertex area of the white surface for the left hemisphere
- <subject>/surf/rh.area : the per-vertex area of the white surface for the right hemisphere
- <subject>/surf/lh.volume : the per-vertex cortical volume for the left hemisphere
- <subject>/surf/rh.volume : the per-vertex cortical volume for the right hemisphere
- <subject>/surf/lh.sulc : the per-vertex sulcal depth for the left hemisphere
- <subject>/surf/rh.sulc : the per-vertex sulcal depth for the right hemisphere
- <subject>/surf/lh.curv : the per-vertex mean curvature of the white surface for the left hemisphere
- <subject>/surf/rh.curv : the per-vertex mean curvature of the white surface for the right hemisphere
- <subject>/surf/lh.jacobian_white : the per-vertex jacobian for the left hemisphere
- <subject>/surf/rh.jacobian_white : the per-vertex jacobian for the right hemisphere
All files are in binary FreeSurfer curv format.
## What is NOT contained
* The ABIDE demographics information (metadata on the subjects, like age, ...) is not included, you can get it from the ABIDE website.
## Author and License
Note: For the authors of the original ABIDE I dataset, see the Credits section above.
This lgi data was created by:
Dr. Tim Schäfer
Postdoc Computational Neuroimaging
Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy
University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany
http://rcmd.org/ts
The data is published under the following license:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
See https://creativecommons.org/licenses/by-nc-sa/3.0/legalcode.txt or the file LICENSE for the full legal code.
See https://creativecommons.org/licenses/by-nc-sa/3.0/ for an easy explanation of what this license means for you.
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