{
  "abstract": "Rodent models enable causal interrogation of brain circuits, but translating their systems-level organization to humans requires correspondence beyond one-to-one anatomical homology. Guided by the view that cortical areas are characterized by their relationships within distributed functional networks, we developed BrainMapping, a biologically inspired framework for aligning rat and human cortex using resting-state functional MRI. The framework combined a shared representation with optimal transport to derive probabilistic, bidirectional maps. These alignments revealed distributed, many-to-many correspondences that generalized to held-out subjects and preserved functional connectivity architecture, cortical gradients, and graph topology. Organizational preservation was directionally asymmetric. Human-to-rat mapping preserved organization more uniformly across rat cortical systems, whereas rat-to-human mapping showed stronger preservation in human association-related networks than in primary sensory and motor networks. The maps recovered literature-consistent default-mode and salience-system correspondences and generated testable non-canonical predictions. These findings provide a framework for expressing rat functional organization in human functional-network coordinates.",
  "abstract_shown": true,
  "affiliations": [
    "Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China; MOE Frontiers Center for Brain Science, Fudan Un"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "name": "X. Dong"
    },
    {
      "name": "Q. Luo"
    },
    {
      "name": "A. Cai"
    },
    {
      "name": "Z. Jin"
    },
    {
      "name": "C. Mu"
    },
    {
      "name": "F. Wang"
    },
    {
      "affs": [
        0
      ],
      "name": "H. Shan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/aba2tgp6gfjz4.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.13.758283",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.10.13.758283v1.full",
  "id": "aba2tgp6gfjz4",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.10.13.758283v1",
  "language": null,
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "neuroscience"
    ],
    [
      "openalex",
      "2805|Functional Brain Connectivity Studies"
    ]
  ],
  "openalex": "W7221835667",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.10.13.758283v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-13",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/aba2tgp6gfjz4.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:27:46Z",
      "native_id": "10.64898/2026.10.13.758283",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.10.13.758283v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:neuroscience",
      "subfield": "neuroscience"
    }
  ],
  "title": "Biologically inspired alignment reveals distributed and directionally asymmetric correspondence between rat and human cortices",
  "title_text": "Biologically inspired alignment reveals distributed and directionally asymmetric correspondence between rat and human cortices",
  "type": "preprint",
  "updated_at": "2026-10-30T12:27:46Z",
  "url": "https://research.draconitic.com/paper/aba2tgp6gfjz4",
  "venue": "bioRxiv",
  "versions": []
}