Data and models¶
HemiSpec needs two types of external assets to run model-enabled workflows: DGN model weights and an atlas file for ROI export. Neither is bundled in the Python wheel or the lightweight desktop app.
Model weights¶
HemiSpec uses two trained DGN generator checkpoints (one per hemisphere direction) and optional hemisphere-classifier bundles.
Source checkout (Git LFS)
Clone with LFS enabled to get the model files directly:
PyPI / wheel install
Models are downloaded automatically on the first model-enabled run:
python -m pip install "hemispec-toolkit[model,classifier]"
hemispec workflow --input-glob "derivatives/*_GM_masked.nii.gz" --out-dir outputs/
To pre-download explicitly:
Downloaded files are stored in the HemiSpec user cache (HEMISPEC_MODEL_CACHE, or the OS default cache directory).
Atlas file¶
ROI table export requires a parcellation atlas in MNI space. HemiSpec includes a Glasser HCP-MMP atlas in the repository as a ready-to-use default. You can also use any compatible atlas in the same format.
Download the bundled Glasser atlas
The atlas files are included in the repository under assets/atlases/glasser/. With a source checkout they are available directly. You can also download them individually from GitHub:
Set the paths once via environment variables:
export HEMISPEC_GLASSER_ATLAS=/path/to/MNI_Glasser_HCP_v1.0_1p5mm.nii.gz
export HEMISPEC_GLASSER_LABEL_TABLE=/path/to/Glasser_label_index_mapping.xlsx
Use a custom atlas
Pass any NIfTI atlas and label table directly:
hemispec workflow \
--input-glob "derivatives/*_GM_masked.nii.gz" \
--out-dir outputs/ \
--roi-atlas /path/to/atlas.nii.gz \
--roi-label-table /path/to/labels.xlsx
ROI export is optional. If no atlas is provided, voxel-wise ANS/RNS maps are still produced.
What is not distributed¶
Real MRI data and generated outputs are never distributed with HemiSpec. The public repository contains only code, documentation, tests, synthetic examples, and the approved reusable model bundles under Git LFS.
Attribution¶
The ANS/RNS metrics and cross-hemispheric DGN framework originate from Wang et al. 2024, Patterns. HemiSpec packages and extends that workflow.