{
  "abstract": "Visual recognition memory depends on coordinated interactions across distributed medial temporal, prefrontal, and limbic networks, yet the sub-second large-scale network dynamics distinguishing successful from unsuccessful recognition remain poorly understood. Here we used intracranial EEG recordings from seven patients (4 female, 3 male) with medically refractory epilepsy performing a new-old visual recognition memory task to characterize time-resolved directed functional connectivity and dynamic network organization. Directed effective connectivity was estimated using bivariate Granger causality in a sliding-window framework, and dynamic community structure was identified using the Louvain modularity algorithm. Successful recognition (Hits) was associated with a qualitatively distinct network configuration: low modularity (Q = 0.05 vs. 0.09-0.15 in other conditions), a cross-hemispheric community structure integrating left medial temporal lobe (MTL) with right prefrontal cortex, and sustained network integration throughout the post-stimulus period. Right-hemisphere nodes within this cross-hemispheric community showed stronger within-community directed connectivity than left-hemisphere nodes (mean asymmetry index = 0.33, p < 0.001), consistent with right prefrontal dominance in driving network integration during successful retrieval. In contrast, Correct Rejections were characterized by early transient network segregation (onset 32 ms) dominated by right-hemisphere activity. Hub regions were non-overlapping across conditions--left-lateralized during Hits, right-lateralized during Correct Rejections. These findings imply that successful visual recognition is distinguished not by stronger connectivity per se, but by a reorganization of large-scale network topology that transiently integrates left MTL with right prefrontal cortex into a unified functional community.",
  "abstract_shown": true,
  "affiliations": [
    "University of Colorado Anschutz Medical Campus, Department of Neurosurgery"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "A. Kumar"
    },
    {
      "name": "K. Tyner"
    },
    {
      "name": "R. Moseley"
    },
    {
      "name": "M. Svalina"
    },
    {
      "name": "A. S. Geller"
    },
    {
      "name": "U. Rutishauser"
    },
    {
      "name": "D. R. Kramer"
    },
    {
      "name": "J. A. Thompson"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dk48cdw947rcf.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.19.752867",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.09.19.752867v1.full",
  "id": "dk48cdw947rcf",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.09.19.752867v1",
  "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": "W7213863739",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.09.19.752867v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-19",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/dk48cdw947rcf.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:33Z",
      "native_id": "10.64898/2026.09.19.752867",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.09.19.752867v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:neuroscience",
      "subfield": "neuroscience"
    }
  ],
  "title": "Stable Network Motifs with Divergent Engagement Across Memory Outcomes",
  "title_text": "Stable Network Motifs with Divergent Engagement Across Memory Outcomes",
  "type": "preprint",
  "updated_at": "2026-10-30T12:23:33Z",
  "url": "https://research.draconitic.com/paper/dk48cdw947rcf",
  "venue": "bioRxiv",
  "versions": []
}