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<p>A major question in neuroscience is how the brain structure facilitates its complex functions via the synchronous activity of separate parts of the brain. Recent research has indicated that the mechanisms underlying this facilitation are based on local interactions between neurons. We investigated whether it is possible in a network structured like the human brain to facilitate communication between functionally connected parts of the brain. We observed that using a combination of local criteria to direct it, a simple greedy algorithm can achieve similar efficiency (within 80% and 90% of the shortest paths) to the propagation mechanisms proposed in the literature, without relying on global explanations.</p>

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Navigation in brain networks is possible using only local measures

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月3日

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  • Alex Hocking,
  • Lena Vogelsang,
  • Frank Jiang,
  • Hung Le,
  • Kerri Morgan,
  • Nicholas Parsons,
  • Govinda Poudel,
  • Sergiy Shelyag,
  • Julien Ugon

摘要

A major question in neuroscience is how the brain structure facilitates its complex functions via the synchronous activity of separate parts of the brain. Recent research has indicated that the mechanisms underlying this facilitation are based on local interactions between neurons. We investigated whether it is possible in a network structured like the human brain to facilitate communication between functionally connected parts of the brain. We observed that using a combination of local criteria to direct it, a simple greedy algorithm can achieve similar efficiency (within 80% and 90% of the shortest paths) to the propagation mechanisms proposed in the literature, without relying on global explanations.