(Not maintained any more. A new app (based on reproa) is coming. Stay tuned!)
BIDS App containing an instance of the Automatic Analysis.
Automatic Analysis software was originally developed by Dr Rhodri Cusack for supporting research at the MRC Cognition and Brain Science Unit. It is made available to the academic community in the hope that it may prove useful.
Definitions: aa means the Automatic Analysis software package and any associated documentation whether electronic or printed.
aa is a pipeline system for neuroimaging written primarily in Matlab. It robustly supports recent versions of SPM, as well as selected functions from other software packages. The goal is to facilitate automatic, flexible, and replicable neuroimaging analyses through a comprehensive pipeline system.
Use of this software is subject to the terms of the license, found in the license.txt file distributed with this software.
More information can be found on the official aa webpage
Experiencing problems? Please open an issue and explain what's happening so we can help.
For any papers that report data analyzed with aa, please include the website (http://www.automaticanalysis.org) and cite the aa paper:
Cusack R, Vicente-Grabovetsky A, Mitchell DJ, Wild CJ, Auer T, Linke AC, Peelle JE (2015) Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics 8:90.
The bids/aa Docker container enables users to run Automatic Analysis right from container launch. The pipeline requires that data be organized in accordance with the BIDS spec.
To get your container ready to run just follow these steps:
- In your terminal, type:
$ docker pull bids/aa
Now we're ready to launch our instances and process some data!
Like a normal docker container, you can startup your container with a single line.
usage: run <bids_dir> <output_dir> {participant|group}
[--participant_label <participant_label>]
[--freesurfer_license <license_file>]
[--connection <pipeline to connect to>]
[<tasklist> <user_customisation>]
positional arguments:
<bids_dir>
The directory with the input dataset formatted
according to the BIDS standard.
<output_dir>
The directory where the output files should be stored.
If you are running group level analysis this folder
should be prepopulated with the results of the
participant level analysis.
{participant|group}
Level of the analysis that will be performed. Multiple
participant level analyses can be run independently
(in parallel) using the same output_dir.
optional arguments:
--participant_label <participant_label>
The label(s) of the participant(s) that should be
analyzed. The label corresponds to
sub-<participant_label> from the BIDS spec (so it does
not include "sub-"). If this parameter is not provided
all subjects should be analyzed. Multiple participants
can be specified with a space separated list.
--freesurfer_license <license_file>
Path to FreeSurfer license key file. Required if you specify
tasklist with freesurfer modules. To obtain it you
need to register (for free) at
https://surfer.nmr.mgh.harvard.edu/registration.html
--connection <pipeline to connect to>
Path to a previously processed pipeline, from where inputs
will be taken.
<tasklist>
aa tasklist describing the steps (XML file). It also requires
<user_customisation>.
<user_customisation>
Customisation of the provided <tasklist>. It must be an XML
file corresponding to aa's aap structure.
- Its structure must correspond to that of the aap
apart from special cases (see later).
- Index in lists of structures (e.g. aamod_smooth(1))
can be indicated following to aa practice:
e.g. aamod_smooth_00001. Default is 1
- Special cases
- firstlevel_contrasts
- input.isBIDS
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