{
  "abstract": "Drug-resistant focal epilepsy (DRFE) is understood as a complex brain network disorder. As a result, conventional pair-wise functional connectivity may fail to capture the higher-order interactions between groups of epileptogenic regions. We applied multivariate information theory to stereotactic electroencephalography-defined networks in retrospective resting-state fMRI analysis to determine whether the overall strength and dominant type of interdependencies between three or more regions, represented by the S-information and O-information respectively, could offer clinically relevant insights prior to surgical intervention in DRFE. We found networks involving the epileptogenic zone to be mostly dominated by re-dundant information-sharing, which was predicted by stronger structural and functional connections between regions. Non-temporal lobe epilepsy patients demonstrated greater redundancy and stronger comparative interdependencies than temporal lobe epilepsy patients, in line with a more complex network architecture. Among non-temporal lobe cases with postoperative follow-up, not seizure-free patients displayed more positive O-information deviation scores than seizure-free patients, suggesting elevated redundancy in networks associated with poorer surgical outcomes. Our findings potentiate the S-information and O-information as complementary higher-order descriptors of the epileptogenic network within personalised presurgical assessments.",
  "abstract_shown": true,
  "affiliations": [
    "Aix-Marseille Université, CRMBM, CNRS UMR 7339, Marseille, France"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 10,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "J. Knight"
    },
    {
      "name": "M. Neri"
    },
    {
      "name": "J. Makhalova"
    },
    {
      "name": "H. Dary"
    },
    {
      "name": "S. Medina-Villalon"
    },
    {
      "name": "J.-P. Ranjeva"
    },
    {
      "name": "A. Brovelli"
    },
    {
      "name": "F. Bartolomei"
    },
    {
      "name": "M. Guye"
    },
    {
      "name": "R. A. Haast"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8gn9k5wxgaj38.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.24.753209",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.09.24.753209v1.full",
  "id": "8gn9k5wxgaj38",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.09.24.753209v1",
  "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": "W7214786365",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.09.24.753209v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-24",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/8gn9k5wxgaj38.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:25:15Z",
      "native_id": "10.64898/2026.09.24.753209",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.09.24.753209v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:neuroscience",
      "subfield": "neuroscience"
    }
  ],
  "title": "Higher-order interdependencies of the epileptogenic network in presurgical resting-state fMRI",
  "title_text": "Higher-order interdependencies of the epileptogenic network in presurgical resting-state fMRI",
  "type": "preprint",
  "updated_at": "2026-10-30T12:25:15Z",
  "url": "https://research.draconitic.com/paper/8gn9k5wxgaj38",
  "venue": "bioRxiv",
  "versions": []
}