Brain Connectomics Imaging Libraries
- Requires FSL (>=6.0), WORKBENCH (>=2.0.0), FreeSurfer (>=6.0.0) , matlab (>=2022b), R (>=4.3.0)
- matlab toolbox: DSE decomposition (https://github.com/asoroosh/DVARS)
- R toolbox: ggplot2
- jq
- ImageMagick
- Donwload zip file of bcil and unzip the file
- Configure the setting file ([unzipped directory]/bcilconf/settings.sh) for your environments
Default settings are:
export CARET7DIR=/usr/local/workbench/
export HCPPIPEDIR=/mnt/pub/devel/HCPPipeline
export FREESURFER_HOME=/usr/local/freesurfer-v0.0.0
export FSLDIR=/usr/local/fsl
export DVARSDIR=/mnt/pub/devel/git/DVARS-master
Please edit the paths using nano (or whatever editor you like) for your environments. CARET7DIR is the path to Workbench, HCPPIPEDIR to HCP pipeline, FREESURFER_HOME to FreeSurfer, and DVARSDIR to DSE decomposition.
- Set path to [unzipped directory]/bin
export PATH=[unzipped directory]/bin:$PATH
- Run commands in the directory, [unzipped directory]/bin
Followings are useful for QCing an individual subject:
$ hcppipe_qc
, which generates images and brain MRI quality metrics (BQM), and for group-wise QC:
$ hcppipe_gqc
, which generates control charts for many BQM across subjects and sites (or protocols).
Note that confidence levels in each chart are currently created by a conventional Shewhart's method based on assumptions of normality (ordinary metrics) or Poisson distribution (count data). Fully non-parametric method is under development for future release!