Skip to content

Releases: automaticanalysis/automaticanalysis

Automatic Analysis 5.8.1

14 Mar 09:37
f76c667
Compare
Choose a tag to compare

What's Changed

Full Changelog: v5.8.0...v5.8.1

Release 5.8.0

11 Feb 17:44
d1562b0
Compare
Choose a tag to compare

This release contains numerous changes to make the code self-sufficient and improve robustness and useability. It also implements an efficient CI/CD framework based on GitHub Actions and GitHub-hosted runners to facilitate development.

New generic features

  • aa_toolbox interface for transparent integration of the toolboxes
  • Tiered examples (tutorials and demonstrations), which runs out-of-box

New features for fMRI

  • Psycho-Physiological Interaction
  • Frame censoring
  • ICA-AROMA
  • Integration of the CONN toolbox
  • Integration of The Decoding Toolbox (also for connectivity)

New features for M/EEG

  • Integration on EEGLAB and FieldTrip toolboxes
  • New sets of modules based on EEGLAB and FieldTrip
  • Time-lock, time-frequency, connectivity, and cross-frequency analyses
  • Sensor- and source-level analyses
  • Demonstration example

What's Changed

New Contributors

Full Changelog: v5.4.0...v5.8.0

Release 5.0.0

03 Mar 16:08
Compare
Choose a tag to compare

As the change in the major versioning implies, older user master scripts are not compatible with v5. Examples has been updated to demonstrate new syntax. In addition, pipelines processed with older versions cannot be re-processed with v5 (aap structure stored in aap_parameters.mat is not compatible). A script aa_convert_subjects is provided to convert aap structure stored in aap_parameters.mat. When connecting to a remote pipeline processed with an older version of aa, aa_convert_subjects is automatically called; so no explicit conversion is required.

New general features

  • More detailed documentation of several key functions
  • Explicit subject identifier aap.acq_details.subjects.subjname: aas_addsubject
    • Subject name is more unambiguously specified
    • Subject name is not tied to the data
    • Same subject name can be used as a reference in the whole UMS
  • Longitudinal/multi-visit measurement
  • In case of selected_session, only relevant inputs will be retrieved
  • Session-specific fieldmaps
  • aas_addsubject has a more intuitive parameterisation
  • From NIfTI
    • BIDS datasets are supported (full)
  • Reporting remote pipeline
  • Lightweighting: remove ANTs, VBM8 and FreeSurfer deface templates from the package and mark them as (optional) requirements

New features for structural

  • aamod_mask_fromsegment accepts different exact thresholds for GM, WM, CSF

New features for fMRI

  • Reorienting input images (structural, diffusion and EPI) to their middle voxel (aamod_reorienttomiddle_*)
  • Specifying contrast for certain sessions using format "sessions:[+[...]]"
  • Specifying contrast with condition names in a format x<main ('m') or parametric ('p')><number of basis/parametric function>. N.B.: It requires regressor names with UPPERCASE letters only!

Bugfixes

  • Scaling automatic temporal modulation
  • aamod_bet_meanepi
  • aamod_waveletdespike using explicit brainmask

Release 4.3.1

29 Feb 11:38
Compare
Choose a tag to compare

4.3.1

Bugfix

Release 4.21

12 Jan 12:58
Compare
Choose a tag to compare

Please use v4.21, which contains minor bug fixes.

Release 4.20

30 Jan 02:30
Compare
Choose a tag to compare

This stable release corresponds to the version described in our manuscript

Please cite this in any publications that use aa
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.

v4.10

02 Feb 16:06
Compare
Choose a tag to compare
Update aaworker_getparmpath.m