pith:QSHMHHWZ
Interpretable Electrophysiological Features of Resting-State EEG Capture Cortical Network Dynamics in Parkinsons Disease
Interpretable EEG features distinguish Parkinsonian neural states from healthy controls and track medication effects through standard and dynamical descriptors.
arxiv:2604.01475 v3 · 2026-04-01 · q-bio.NC · q-bio.QM
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Claims
These findings support multivariate EEG representations as a promising framework for developing non-invasive biomarkers of PD.
That the extracted interpretable features, particularly the dynamical descriptors, faithfully capture underlying cortical network dynamics without substantial contamination from recording artifacts, volume conduction, or unaccounted individual variability in a clinical population.
Resting-state EEG features grouped into standard and dynamical sets discriminate Parkinson's disease from controls and off-medication from on-medication states via transformer classification.
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Receipt and verification
| First computed | 2026-06-09T02:08:41.615679Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
848ec39ed9be7a063d7a7ec2ce8a1c1681dbb860f3e4e8d256066c62d71a6bd2
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QSHMHHWZXZ5AMPL2P3BM5CQ4C2 \
| 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: 848ec39ed9be7a063d7a7ec2ce8a1c1681dbb860f3e4e8d256066c62d71a6bd2
Canonical record JSON
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