pith:X6TD6OMV
Batch Effects In Brain Foundation Model Embeddings
Foundation model embeddings from brain scans encode substantial batch effects that often dominate diagnosis signals.
arxiv:2604.14441 v2 · 2026-04-15 · eess.SP
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Claims
Our results show that foundation model embeddings encode substantial batch-related variability, often dominating diagnosis-related information across heterogeneous datasets.
The evaluation framework and chosen metrics correctly isolate batch effects from biologically meaningful signals without the framework itself introducing or amplifying site-specific artifacts.
Embeddings from BrainLM and SwiFT foundation models encode substantial batch-related variability that frequently overshadows diagnosis signals in multi-site fMRI datasets.
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| First computed | 2026-06-09T02:08:42.332869Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X6TD6OMVUJJU2NFNM3TOG7HRI4 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: bfa63f3995a2534d34ad66e6e37cf147102cda8ae2ef4aac1ea7d371702dca01
Canonical record JSON
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