{
  "abstract": "EEG connectivity can distinguish individuals, but the persistence of its phase and magnitude structure across visits and functional states remains incompletely understood. We examined two geometric representations of complex coherency: unit phasors and full complex coherency, alongside triangle holonomies and magnitude-only descriptors. Using direct enrollment-probe matching without a trained identity classifier, we analyzed three independent longitudinal cohorts: RestCog (N = 60; approximately one month), L-FAME (N = 44; six weeks), and Dortmund (N = 206; approximately five years). In eyes-closed rest-to-rest matching, alpha phasors identified 81.67% of participants in RestCog (AUC 0.9473) and 79.55% in L-FAME (AUC 0.9735); full complex coherency identified 78.33% and 84.09%, respectively. After five years in Dortmund, fixed row-standardized alpha-beta fusion yielded 77.67% rank-1 identification (AUC 0.9744) for phasors and 70.39% (AUC 0.9527) for full coherency. Changes in functional state exposed different strengths: full coherency preserved higher rank-1 accuracy in some monthly RestCog rest-to-task comparisons, whereas alpha phasors retained higher verification AUC. Switching between eyes-closed and eyes-open recordings in Dortmund substantially weakened identification with both representations. Triangle holonomies also retained individual information across visits. An exact factorization of complex cosine shows how magnitude-pattern alignment and magnitude-weighted phase agreement contribute to full-coherency matching. Together, the results reveal persistent individual structure in both phase and complex coherency over weeks to years, while distinguishing temporal persistence from robustness across functional states.",
  "abstract_shown": true,
  "affiliations": [
    "Holon Institute of Technology"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "D. Goldstein"
    },
    {
      "name": "A. Deeb"
    },
    {
      "name": "B. Nassir"
    },
    {
      "name": "S. Sawaed"
    },
    {
      "name": "N. J. Zaidenberg"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/a0avagexeeayn.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.26.761764",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.10.26.761764v1.full",
  "id": "a0avagexeeayn",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.10.26.761764v1",
  "language": null,
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "neuroscience"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.10.26.761764v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-26",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/a0avagexeeayn.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T12:21:10Z",
      "native_id": "10.64898/2026.10.26.761764",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.10.26.761764v2"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:neuroscience",
      "subfield": "neuroscience"
    }
  ],
  "title": "Longitudinal persistence of EEG brain fingerprints:phase and complex coherency geometry across sessions andfunctional states",
  "title_text": "Longitudinal persistence of EEG brain fingerprints:phase and complex coherency geometry across sessions andfunctional states",
  "type": "preprint",
  "updated_at": "2026-11-03T00:20:25Z",
  "url": "https://research.draconitic.com/paper/a0avagexeeayn",
  "venue": "bioRxiv",
  "versions": []
}