{
  "abstract": "Naturalistic movie-fMRI provides a shared, temporally structured probe of brain dynamics, yet predictive models commonly rely on whole-run functional connectivity (FC) or temporally generic representations that are not aligned with narrative events. We introduce MovieSTAGE (Scene, Transition, and Global Encoding), a multiscale framework that combines hypergraph-structured FC-profile organization within scenes, unsigned FC-profile differences across adjacent scenes, and whole-movie FC. We evaluated 260 participants from the CMI-HBN Despicable Me cohort on case-control, ADHD-subtype, and three-class classification using 10 repetitions of stratified five-fold cross-validation, complete out-of-fold (OOF) predictions, and paired subject-cluster bootstrap and permutation tests. MovieSTAGE achieved AUROCs of 0.69, 0.73, and 0.75 and balanced accuracies of 67.6%, 69.8%, and 58.3%, respectively, yielding the highest mean point estimates among the evaluated methods. On the three-class task, the full model outperformed all two-branch variants, the HGNN scene encoder outperformed MLP, GAT, and BNT alternatives under matched settings, and the human-annotated partition outperformed duration-matched random and fixed-count GSBS controls. These controlled results support incremental predictive value from event-aligned scene and transition representations when combined with whole-movie FC in this cohort. Post-hoc model-derived analyses generated network-level hypotheses involving frontoparietal and default-mode systems.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.09306",
  "author_total": 3,
  "authors": [
    {
      "name": "Boseong Kim"
    },
    {
      "name": "Haejun Chung"
    },
    {
      "name": "Ikbeom Jang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/e4t61z5vx8npb.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.09306",
  "fulltext_url": null,
  "id": "e4t61z5vx8npb",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.09306",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.LG"
    ],
    [
      "arxiv",
      "q-bio.NC"
    ],
    [
      "openalex",
      "2805|Functional Brain Connectivity Studies"
    ]
  ],
  "openalex": "W7220986592",
  "pdf_url": "https://arxiv.org/pdf/2610.09306",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-07",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/e4t61z5vx8npb.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:27:43Z",
      "native_id": "2610.09306",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.09306"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "arxiv:q-bio.NC",
      "subfield": "neuroscience"
    }
  ],
  "title": "MovieSTAGE: Scene, Transition, and Global Encoding for Movie-fMRI ADHD Classification",
  "title_text": "MovieSTAGE: Scene, Transition, and Global Encoding for Movie-fMRI ADHD Classification",
  "type": "preprint",
  "updated_at": "2026-10-30T12:27:43Z",
  "url": "https://research.draconitic.com/paper/e4t61z5vx8npb",
  "venue": "arXiv",
  "versions": []
}