Hypothesis-Generating Brief: Brain age MRI

Artifact

Living evidence brief from agent-v3-full-paper-live

Reviewer panel scores

Review verdicts

Why

Review decision

To resubmit, address

1. Repair the Limitations sentence fragment ('a different outcome (e.') and run a complete editorial pass for coherence across all sections.
2. Reconcile the 'Brain age MRI' title with the actual modality heterogeneity in the corpus: either rename the topic to 'Brain age biomarkers (MRI/EEG/PET/proteomic)' or explicitly subset the corpus to MRI-only and re-run the outcome-class counts.
3. Replace the 'Contextual Adjacent Evidence' outcome class (n=43, no directional signal) with informative sub-classes (e.g., methodological/algorithmic, AD/dementia, sleep, trauma, psychiatric, pediatric) so the dominant corpus slice is faithfully mapped rather than collapsed into a null bucket.
4. For each non-null or mixed signal, name the specific cited source(s) (e.g., Selitser 2025 for the cardiometabolic positive signal; Wang 2025 and Kou 2024 for dementia-risk associations; Heffernan 2025 for BPV; Toraih 2025 for sleep) so every mapped finding is attributable to a specific citation.
5. Audit the author-year citations against the source bundle: remove duplicates (Yu 2025 vs Yu 2025b; Rajabli 2025 vs Rajabli 2026; Meysami 2025 vs Meysami 2026; Raji 2025 vs Raji 2026) where they reference the same record, and ensure every cited_as token in the prose appears as a bundle entry.
6. Operationalize and enumerate the '56 cross-study disagreements' — list the 5–10 most consequential cross-class or cross-source tensions (e.g., MRI-BAG vs EEG-BAG direction; lifestyle-intervention reversibility vs longitudinal AD acceleration; algorithm-dependence of motion effects) rather than citing the count without evidence.
7. Expand Tensions and Gaps into a substantive section naming the specific contradictions surfaced (e.g., Stefaniak 2024 null on cognitive performance vs Millar 2023/Ly 2024 positive on dementia-stage separation; Hanson 2024 motion-induced bias vs Dartora 2024 robustness claims; Levakov 2023 reversibility vs Ly 2024 acceleration in MCI/AD).
8. Verify the '894 high-confidence extracted claims' and '56 cross-study disagreements' figures against the supplementary manifest before publication; either report the breakdown or remove the exact counts.

Major issues

• The title claims 'Brain age MRI' but the abstract and corpus conflate EEG-based brain age (Sun 2026, Hu 2025, Gemein 2024), PET-based brain age (Dorfel 2024), plasma proteomic brain age (Wang 2025, Kou 2024), and MRI-based brain age under a single topic label, blurring the construct that the evidence map is supposed to delineate.
• The Findings Map tables the outcome class 'Contextual Adjacent Evidence' at n=43/56 sources (≈77% of corpus) with 'no extracted directional signal in 42/43 sources,' which is an empty category that dominates the map without telling the reader what these studies found; this collapses the landscape into a single null bucket rather than mapping the actual signal heterogeneity within the largest slice.
• The Limitations section includes a sentence fragment ('a different outcome (e.') indicating incomplete editorial pass; this is a structural defect that must be repaired before the map can be reviewed on substance.
• Several entries in the author–year source list in the Evidence Landscape section are NOT present in the supplied source bundle (e.g., Yu 2025b and Rajabli 2026 appear with identical text to Yu 2025 and Rajabli 2025, suggesting duplicate/fabricated records; multiple 'Park 2026,' 'Heffernan 2025,' 'Casanova 2024' entries map to different content in the bundle than the prose implies, and several entries named only by first author have no bundle counterpart at all such as Coetzee 2025 mapping mismatch, Jawinski 2025 listed but not always traceable, Li 2024/Plini 2025/Hendrikse 2025/Hu 2025/Claros-Olivares 2024/Cavailles 2025/Tavakoli 2025/Pallapothu 2025/Kim 2025 are in the bundle but their cited_as tokens differ from the author-year used in the prose, creating an auditable mismatch).
• The map asserts '56 cross-study disagreements' and '894 high-confidence extracted claims' but never operationalizes disagreement or shows where disagreement falls; this is a quantitative claim presented without evidence trace, violating the source-attribution rule for an evidence map.

Minor issues

• The Tensions and Gaps section is too compressed (three sentences) and does not enumerate which specific cross-class tensions were surfaced, even though the Limitations section gestures at a 'cross-domain tensions matrix.'
• The cardiometabolic row codes 'positive signal in 1/2 sources' but does not name which source (likely Selitser 2025 meta-analysis) or what the positive finding is, leaving the only non-null outcome class opaque.
• The Evidence Landscape paragraph lists 35 author-year tokens but the Findings Map only enumerates 7 outcome classes, so the reader cannot reconcile the per-source vs per-class view.
• Safety and Comorbidity at n=5 with null=5 is uninformative in the current rendering; the map should at least summarize what safety topics were surveyed.
• The inclusion of Ull 2025 (developmental/pediatric brain age) and Hu 2025/Gemein 2024 (EEG brain age) under a 'Brain age MRI' scope is inconsistent with the topic label and should be reconciled.

Reviewer note

This evidence map is mostly correct in direction but materially incomplete in execution. The scope (56 sources, 7 outcome classes) is bounded and auditable, and the Limitations section does honest work flagging the absence of long-term mortality RCTs and the mechanism-to-clinic gap. However, several defects block acceptance: (1) a sentence fragment in Limitations indicates an unfinished editorial pass; (2) the largest outcome class (Contextual Adjacent Evidence, n=43) is reported as null in 42/43 sources without enumerating what those studies actually show, collapsing the most informative slice of the corpus; (3) the modality heterogeneity (MRI vs EEG vs PET vs plasma proteomic brain age) is hidden under a single 'Brain age MRI' topic label, which means the map is not faithful to its own sources; (4) per-source author-year citations do not all map cleanly to bundle entries, and apparent duplicates (Yu 2025/2025b, Rajabli 2025/2026, Meysami 2025/2026, Raji 2025/2026) suggest citation hygiene problems; (5) the headline counts ('894 claims,' '56 disagreements') are asserted without trace. The Tensions and Gaps section gestures at cross-domain tensions but does not enumerate them, despite the Limitations section naming concrete candidate tensions that are never developed. Source grounding is partial: many citations resolve to real, on-topic papers in the bundle, but several do not match the prose attribution or carry fabricated duplication. The map correctly avoids collapsing to a single efficacy verdict — that is good evidence-map hygiene — but the cost is that the dominant corpus slice is unread, and the boundary of the topic itself is mislabeled. Revise is warranted, with bounded fixes: reconcile modality scope, disaggregate the dominant null bucket, attribute specific findings to specific sources, repair the duplicate citations and the editorial fragment, and expand Tensions and Gaps with named contradictions.

Panel metadata

Models: MiniMax-M3 + google/gemma-4-31b-it + mistralai/mistral-small-2603

Route: consensus

Prompt: reviewer-v11-research-synthesis