QSIRecon mrtrix_5tt_fast not creating or using 5tt?

Summary of what happened:

I am trying to run qsirecon 1.1.1, using a .yaml with “mrtrix_5tt_fast” for ACT tractography. It runs successfully and generates streamline outputs, but I just noticed that it isn’t generating the FAST-based 5tt output, and when I look at the tckgen command in the work dir, there is no “-act” argument. There is also no recon_anatomical_wf in the work dir.

When I run the same command but using a .yaml with “mrtrix_5tt_hsvs”, it does generate a 5tt output file, and I can see that tckgen uses “-act”

Command used (and if a helper script was used, a link to the helper script or the command generated):

qsirecon /data/bids/derivatives/qsiprep /data/bids participant \
    --input-type qsiprep \
    --recon-spec /scripts/mrtrix_multishell_msmt_ifod2fastTEST.yaml \
    --fs-subjects-dir /data/bids/derivatives/freesurfer \
    --fs-license-file /scripts/freesurfer_license.txt \
    -w /data/work-qsirecon \
    --write-graph --stop-on-first-crash --verbose --verbose --notrack \
    --nthreads 10 --omp-nthreads 10 --resource-monitor

Where the mrtrix_multishell_msmt_ifod2fastTEST.yaml contains:

anatomical:
- mrtrix_5tt_fast
name: mrtrix_multishell_msmt_TEST
nodes:
-   action: csd
    input: qsirecon
    name: msmt_csd
    parameters:
        fod:
            algorithm: msmt_csd
            max_sh:
            - 8
            - 8
            - 8
        mtnormalize: true
        response:
            algorithm: dhollander
    qsirecon_suffix: MRtrix3_ifod2act-FAST
    software: MRTrix3
-   action: tractography
    input: msmt_csd
    name: track_ifod2
    parameters:
        sift2: {}
        tckgen:
            algorithm: iFOD2
            max_length: 250
            min_length: 30
            power: 0.33
            quiet: true
            select: 50000.0
        use_5tt: true
        use_sift2: true
    qsirecon_suffix: MRtrix3_ifod2act-FAST
    software: MRTrix3
space: T1w

Version:

qsirecon 1.1.1

Environment (Docker, Singularity / Apptainer, custom installation):

Run via apptainer

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