{
  "id": 17204003,
  "title": "Algorithmic Geometry Shapes the Biological Meaning of Thalamocortical Structural Covariance",
  "url": "https://urgent.news/2026/10/30/algorithmic-geometry-shapes-the-biological-meaning-of-thalamocortical",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-30T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.27.762356v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Neuroimaging studies often derive and discuss structural covariance (SC) as a representation of underlying brain circuitry that reflects coordinated maturation, anatomical connectivity, transcriptional similarity, and shared genetic influences. These associations motivate its use to study brain organization across development, aging, and disease. However, the algorithms used to derive SC networks…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}