{
  "id": 14128830,
  "title": "Physics-informed neural networks for subject-specific recovery of travelling-wave structure in resting-state fMRI",
  "url": "https://urgent.news/2026/10/12/physics-informed-neural-networks-for-subject-specific-recovery-of",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-12T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.05.756801v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Resting-state BOLD fluctuations show reproducible spatiotemporal propagation that is not accounted for by conventional zero-lag functional connectivity. Travelling wave analyses based on phase gradients or statistical decomposition have problems when multiple wave generators overlap or when wave origins have to be localized. This work introduces a wave-informed physics-informed neural network…",
  "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."
}