--- title: ADNI Mini v1.2 tags: - medical-imaging - mri - nifti - alzheimers - adni license: other --- # ADNI Mini v1.2 Longitudinal-rich ADNI sMRI evaluation set for frozen-feature / linear-probe **prognosis** evaluation (clinical path, cognitive decline, AD-typical atrophy). - **1,200 subjects / 1,200 scans** (one processed T1w per subject) - Soft diagnosis balance: **450 CN / 500 MCI / 250 AD** - Sex: **600 Female / 600 Male** - Age at scan: 60–90 - Single `eval` split as Hugging Face Arrow shards with embedded NIfTI bytes - **Brain masks are not included** ## Load ```python from datasets import load_dataset ds = load_dataset("medarc/adni-mini-v1-2", split="eval") print(ds) # image column: nifti ``` ## Primary label coverage (approx.) | Target | n | |---|---:| | ADAS-Cog13 annualized slope (48m) | ~1121 | | Logical Memory delayed (LDELTOTAL) slope (48m) | ~1031 | | Hippocampus / lateral ventricle / amygdala slopes (48m) | ~1093 each | | MCI → AD risk (known at 36m) | ~500 (~186 events) | | MCI A+ → AD (36m) | ~249 (~101 events) | | CN A+ → MCI/AD (36m) | ~134 (~23 events) | | Amyloid centiloid | ~975 | | Tau meta-temporal SUVR | ~533 | | CSF Aβ / p-tau / t-tau | ~901 / 899 / 901 | ## Task philosophy | Primary | Secondary | |---|---| | Staging (AD vs CN, CN/MCI/AD) | Molecular: centiloid, tau SUVR, CSF | | MCI conversion risk 36m | A+ stratified progression | | ADAS13 + LDEL slopes | Sex (sanity) | | Hippo / lat. ventricle / amygdala slopes | | | Age, BAG, SynthSeg volumes | | ### Orientation - **ADAS13 slope:** higher = worse cognition - **LDELTOTAL slope:** more negative = memory decline - **Hippocampus / amygdala slopes:** more negative = atrophy (ICV-normalized) - **Lateral ventricle slope:** more positive = expansion (L+R lateral only, not 3rd/4th) ### Design notes - Optimized for **longitudinal richness** (follow-up, multi-T1, conversion known), not pure 400/400/400 B-equal. - Continuous cognitive/atrophy rates preferred over coarse ordinal scores (no CDR-SB primary). - Molecular PET/CSF labels retained as **secondary association** checks (not “virtual PET” headlines). - One scan per subject; longitudinal labels precomputed onto that baseline row. ## Rebuild (local) ```bash .venv/bin/python datasets/adni/select_v12.py \ --output artifacts/adni-mini-v1-2/selected_manifest.csv .venv/bin/python datasets/adni/build_mini.py \ --selected-manifest artifacts/adni-mini-v1-2/selected_manifest.csv \ --output-dir artifacts/adni-mini-v1-2 \ --fingerprint adni-mini-v1-2-eval-1200 ``` See `datasets/adni/v1.2_notes.md` for full design and feasibility notes.