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    "headline": "The Same Brain-Control Cost Reached a Different Space",
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    "dek": "Topology-selected driver regions broadened controllability even when average control energy barely changed.",
    "summary": "Topology-selected driver regions broadened controllability even when average control energy barely changed.",
    "body_text": "A preprint compared standard degree-based driver nodes with nodes chosen by persistent topological cycles across 70 human structural connectomes and three parcellation scales. The two strategies differed by only about 0.2 percent in scalar control energy, yet topology-informed sets distributed controllability across more state-space dimensions and produced better-conditioned matrices. Because the node sets occupied different cortical territory, they also favored different target states. The work is a mathematical analysis of structural connectomes, not a stimulation experiment or clinical control protocol.",
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    "tags": [
      "connectomes",
      "persistent homology",
      "network control",
      "brain"
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      "title": "arXiv preprint 2608.03181",
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    "title": "The Same Brain-Control Cost Reached a Different Space",
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