{
  "id": 927696,
  "title": "Graph theory for the analysis of micro-electrode array recordings of human brain slices - framework and benchmarking",
  "url": "https://urgent.news/2026/08/14/graph-theory-for-the-analysis-of-micro-electrode-array-recordings-of",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-14T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.10.743867v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Micro-electrode array (MEA) recordings are widely used to characterize functional connectivity in neural cultures and have gained traction for the analysis of human brain slices. However, the impact of graph construction methodology on the resulting network topology has not been systematically quantified. Here, we benchmark three methods - shared spiking activity, Pearson cross-correlation, and…",
  "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."
}