{
  "abstract": "Evoked and induced responses are fundamental neurophysiological readouts in the development and assessment of treatments for disorders with impaired neural function. Distinguishing these responses is essential for interpreting single-trial variability, identifying the determinants of these responses, and enabling real-time probing of cortical responsiveness. However, because of dynamic overlap, separating evoked and induced activity remains unsolved at the single-trial level when instantaneous fluctuations of cortical responsiveness are of interest. We developed the Evoked-Ongoing/Induced Separator (EOIS), a framework for separating event-evoked, ongoing, and event-modulated induced activity from single-trial data. EOIS recovers evoked and ongoing/induced components by leveraging their distinct phase-consistency features in MEG and real-time EEG, enabling subject-agnostic single-trial time-series analysis and attribution of cortical response variability to specific components. By delivering component-resolved time series, EOIS enables biomarker refinement, pharmacodynamic readouts, and closed-loop neuromodulation, facilitating translational deployment across individuals and care settings.",
  "abstract_shown": true,
  "affiliations": [
    "Aalto University, Department of Neuroscience and Biomedical Engineering"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "O. Ahola"
    },
    {
      "name": "L. Haxel"
    },
    {
      "name": "U. Ziemann"
    },
    {
      "name": "R. Ilmoniemi"
    },
    {
      "name": "P. Lioumis"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1n3vdgdwahnz7.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.19.760024",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.10.19.760024v1.full",
  "id": "1n3vdgdwahnz7",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.10.19.760024v1",
  "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|EEG and Brain-Computer Interfaces"
    ]
  ],
  "openalex": "W7223440309",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.10.19.760024v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-19",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/1n3vdgdwahnz7.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:29:27Z",
      "native_id": "10.64898/2026.10.19.760024",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.10.19.760024v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:neuroscience",
      "subfield": "neuroscience"
    }
  ],
  "title": "Disentangling evoked and induced activity from single-trial neurophysiological time series",
  "title_text": "Disentangling evoked and induced activity from single-trial neurophysiological time series",
  "type": "preprint",
  "updated_at": "2026-10-30T12:29:27Z",
  "url": "https://research.draconitic.com/paper/1n3vdgdwahnz7",
  "venue": "bioRxiv",
  "versions": []
}