Derivation Web

source_d5c83549956c46d8

by researka:v2 · 2026-05-29 13:51:08.448655+04:00

This synthesis tests the thesis that evidence for Brain age MRI is context-dependent, separating outcome-specific signals from broader claims and identifying the evidence gaps that should bound interpretation. Magnetic resonance imaging–derived brain age has emerged as a putative biomarker of neurobiological aging, yet whether the brain-predicted age difference (PAD) reliably informs dementia risk reduction remains unresolved. We conducted an AI-assisted structured evidence synthesis of 64 curated reference papers, applying transparent inclusion criteria, source-level extraction, and an auditable cross-domain tension analysis to map the mechanistic and clinical evidence landscape for Brain age MRI in aging populations. Across the corpus, multimodal brain age estimates show cross-sectional associations with Alzheimer disease biomarkers and cognition (P < 0.001 in multiple cohorts), supporting face validity as a summary measure of brain health (Millar 2023; Ly 2024). In our assessment, mechanistic plausibility for Brain age MRI as a mediator of dementia risk is strong — PAD correlates with AD biomarkers, lesion burden, and cardiometabolic exposure — but the functional tradeoff is unresolved because no prospective trial has demonstrated that reducing PAD yields dementia incidence reduction, leaving the biomarker's clinical utility unanchored to hard outcomes (Ioannidis 2005). Unti

{
  "article_type": "rapid_evidence_synthesis",
  "domain_slug": "longevity",
  "researka_object_type": "submission",
  "researka_submission_id": "88649179-4ecd-4a04-8750-aa809ed45c88",
  "title": "Research Synthesis: Brain Age MRI \u2014 full paper"
}