High-resolution structural images were used to generate the cortical surfaces
using FreeSurfer (v5.3.0, freely available at http://surfer.nmr.mgh.harvard.edu,
[Dale et al., 1999]). Additional high-resolution T2w images were included
in the reconstruction (recon-all -T2 t2file).
The surface quality was checked by inspecting the slice screenshots of QATool
(v1.1, freely available at http://ftp.nmr.mgh.harvard.edu/fswiki/QATools, [no
source paper linked]). The QATool was adopted to take sreenshots of the
high-resoluton pial surface.
DataLad datasets and how to use them
This repository is a DataLad dataset. It provides
fine-grained data access down to the level of individual files, and allows for
tracking future updates. In order to use this repository for data retrieval,
DataLad is required. It is a free and
open source command line tool, available for all major operating
systems, and builds up on Git and git-annex
to allow sharing, synchronizing, and version controlling collections of
large files. You can find information on how to install DataLad at
Get the dataset
A DataLad dataset can be
cloned by running
datalad clone <url>
Once a dataset is cloned, it is a light-weight directory on your local machine.
At this point, it contains only small metadata and information on the
identity of the files in the dataset, but not actual content of the
(sometimes large) data files.
Retrieve dataset content
After cloning a dataset, you can retrieve file contents by running
datalad get <path/to/directory/or/file>
This command will trigger a download of the files, directories, or
subdatasets you have specified.
DataLad datasets can contain other datasets, so called subdatasets.
If you clone the top-level dataset, subdatasets do not yet contain
metadata and information on the identity of files, but appear to be
empty directories. In order to retrieve file availability metadata in
datalad get -n <path/to/subdataset>
Afterwards, you can browse the retrieved metadata to find out about
subdataset contents, and retrieve individual files with
If you use
datalad get <path/to/subdataset>, all contents of the
subdataset will be downloaded at once.
DataLad datasets can be updated. The command
datalad update will
fetch updates and store them on a different branch (by default
datalad update --merge
will pull available updates and integrate them in one go.
More information on DataLad and how to use it can be found in the DataLad Handbook at
handbook.datalad.org. The chapter
"DataLad datasets" can help you to familiarize yourself with the concept of a dataset.
Dale, A.M., Fischl, B., Sereno, M.I., 1999. Cortical surface-based analysis. I.
Segmentation and surface reconstruction. Neuroimage 9, 179-194.