{
  "annotation_id": "97b53c69-8751-4098-bc49-aa202db30f7c",
  "date_created": "2026-03-02T18:00:35.980000Z",
  "date_modified": "2026-03-02T18:00:35.980000Z",
  "file_hash": "8d3301c87edb6d6a2f2128eb4ed8008957368637aa86bfe0cd5981e4d7d59130",
  "private": false,
  "record": {
    "abstract": "The scaling behaviors of the human electroencephalogram (EEG) time series are\nstudied using detrended fluctuation analysis. Two scaling regions are found in\nnearly every channel for all subjects examined. The scatter plot of the scaling\nexponents for all channels (up to 129) reveals the complicated structure of a\nsubject\u0027s brain activity. Moment analyses are performed to extract the gross\nfeatures of all the scaling exponents, and another universal scaling behavior\nis identified. A one-parameter description is found to characterize the\nfluctuation properties of the nonlinear behaviors of the brain dynamics.",
    "arxiv_id": "physics/0105029",
    "authors": [
      "Rudolph C. Hwa",
      "Thomas C. Ferree"
    ],
    "categories": [
      "physics.med-ph",
      "physics.bio-ph",
      "q-bio.QM"
    ],
    "doi": "10.1103/PhysRevE.66.021901",
    "title": "Fluctuation Analysis of Human Electroencephalogram",
    "url": "https://arxiv.org/abs/physics/0105029"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ad3d91a5-410d-4bf4-9a56-4c7912d42795",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}