Campaign run · Parkinson's disease
parkinson-multimodal-ppmi-trajectory-r1
Using only the publicly summarised longitudinal endpoints from PPMI — CSF α-syn-SAA Vmax/Tmax/AUC group means (Russo 2025 Lancet Neurology supplement), Olink Explore top-50-protein medians (Bayati 2024 Acta Neuropathologica supplement), motor MDS-UPDRS- III group-mean curves (Marek 2018 + downstream PPMI publications), free-water dMRI per-visit means (Burciu 2023 Frontiers Neurology supplement), LRRK2-G2019S SAA-stratified curves (Simuni 2024 Movement Disorders supplement) — can a Gaussian-process latent-variable model (GPLVM) infer a 1-D disease-time axis whose ordering recapitulates clinically known PD progression milestones?
Status
- How far it got
- Completed the pipeline
Tested at least one hypothesis and reached the multi-agent review stage. This shows the run went through the whole pipeline, not that its work passed a quality bar.
- Hypotheses
5 nominated; 5 evaluated.
- Recorded status
Halted. The run recorded a final status of halted: it was closed without being marked done. A halted run can still have tested hypotheses and written a final report.
- Census class
Success. Census class is a label from an earlier, process-level census of the campaign. It does not map one-to-one onto the stages above. How the classes compare.
Research question
The sentence under the run id is quoted from this brief.
Full research brief given to the run
Using only the publicly summarised longitudinal endpoints from PPMI — CSF α-syn-SAA Vmax/Tmax/AUC group means (Russo 2025 Lancet Neurology supplement), Olink Explore top-50-protein medians (Bayati 2024 Acta Neuropathologica supplement), motor MDS-UPDRS- III group-mean curves (Marek 2018 + downstream PPMI publications), free-water dMRI per-visit means (Burciu 2023 Frontiers Neurology supplement), LRRK2-G2019S SAA-stratified curves (Simuni 2024 Movement Disorders supplement) — can a Gaussian-process latent-variable model (GPLVM) infer a 1-D disease-time axis whose ordering recapitulates clinically known PD progression milestones?
PPMI raw individual-level data are under a Data Use Agreement (DUA). Trajectory inference papers that re-derive from raw data cannot be reproduced without the DUA. This proposal asks the inverse methodological question: how much disease-trajectory reconstruction is possible from supplementary-table summary statistics alone? If the answer is "a lot", this is a reproducibility win and a template for PPMI-DUA-free research. If "very little", it puts a quantitative upper bound on summary-table-only PD work and justifies the DUA application.
Hypotheses (pre-registered):
H1 (primary — disease-time correlates with time-from-diagnosis): The GPLVM-inferred 1-D latent disease-time axis correlates with published per-visit time-from-diagnosis at the cohort-summary level with Spearman ρ > 0.6 (n ≥ 50 visit-aggregated points across baseline / Y1 / Y2 / Y3 / Y5 timepoints × multiple cohort-subgroup strata).
H2 (secondary — modality leave-one-out generalisation): Free-water dMRI (Burciu 2023) is held out; GPLVM trained on SAA + Olink + MDS-UPDRS only recovers free-water dMRI rank-order with ρ ≥ 0.4. (Tests that disease-time is modality-general, not modality-specific.)
H3 (secondary — LRRK2 leftward-shift): LRRK2-G2019S carriers (Simuni 2024) have a leftward-shifted inferred disease-time distribution vs. sporadic PD at matched clinical-stage (Cohen's d > 0.5, two-sample Welch t-test p < 0.05). Consistent with the SAA-negative LRRK2 subtype being molecularly distinct.
H4 (secondary — modality-specific weight check): Report per-modality GPLVM loading magnitude on the primary latent factor. No single modality should contribute > 70% of the loading. If one does, the "multi-modal" claim is misleading and that modality alone would do.
H5 (secondary — supplementary-table fetchability audit): Of the 6 cited supplements (Russo, Bayati, Hällqvist, Burciu, Simuni, Marek), how many are (a) machine-readable (TSV / XLSX), (b) PDF-table only, (c) image only / not fetchable? This number itself is an informative methodological finding about PD trajectory work reproducibility.
Null payoff. If summary tables don't encode enough information to reconstruct disease time (H1 ρ < 0.4), the PPMI raw-data DUA application is justified — and the proposal would put a hard number on what summary-table-only PD trajectory work can deliver.
The research question comes from the topic's current research brief. All attempts at a topic share it; earlier attempts may have started from an earlier wording.
Hypotheses and verdicts
Each hypothesis was written with its decision rule before any analysis (or, for on-the-fly hypotheses, recorded during execution). AI adjudication agents applied that rule to the run's latest outputs and quoted the evidence verbatim. Where the data did not meet the rule, the verdict follows the data, even if the run's own label or report claimed support.
| ID | Hypothesis and decision rule | Verdict |
|---|---|---|
| H1Pre-registered | GPLVM 1-D latent disease-time from PPMI published summary tables correlates with time-from-diagnosis (rho>0.6, CI lower>0.4, n>=50). | InconclusiveIn the explorer |
Evidence (verbatim from the run outputs) H1 is INCONCLUSIVE. The n < 50 requirement is not met because the fetched supplements do not contain per-visit longitudinal group-mean time series Adjudication note rho=0.430 [-0.459,0.953], n=10 (FactorAnalysis fallback; GPy unavailable). Literal rule (CI lower <0.2 => not supported) would give NOT_SUPPORTED; data limitation could also justify NOT_TESTED_DATA. | ||
| H2Pre-registered | Model trained without dMRI recovers free-water dMRI rank order (leave-dMRI-out rho>=0.4, CI lower>0). | InconclusiveIn the explorer |
Evidence (verbatim from the run outputs) H2 is formally unevaluable under the pre-registration rules Adjudication note Leave-dMRI-out rho=0.349 at n=10, CIs not estimable. Could also be read as NOT_TESTED_DATA. | ||
| H3Pre-registered | LRRK2-G2019S carriers show leftward-shifted disease-time vs sporadic PD at matched stage (d>0.5, p<0.0125). | Not testableIn the explorer |
Evidence (verbatim from the run outputs) H3 verdict: NOT EVALUABLE. Only one LRRK2 group-mean row was recovered. Adjudication note None recorded. | ||
| H4Pre-registered | No single modality contributes >=70% of loading on the 1-D latent (multi-modal claim). | Not supportedIn the explorer |
Evidence (verbatim from the run outputs) H4 verdict: VIOLATED — proteomics accounts for ~100% of the FA loading. Adjudication note Report attributes dominance to feature-count imbalance (31 proteomics features) at n=10, not biology. | ||
| H5Pre-registered | Descriptive audit of machine-readability of 6 cited PPMI supplements (>=4/6 strong, 2-3/6 partial, <=1/6 negative). | PartialIn the explorer |
Evidence (verbatim from the run outputs) Summary: 3 machine-readable (a), 2 PDF-table (b), 1 unreachable (c). Adjudication note Descriptive/classificatory hypothesis; 3/6 falls in pre-specified 'partial' band. Additionally 0/6 contained per-visit longitudinal group means. | ||