{
  "abstract": "A publicly available, BIDS-compliant multimodal dataset is presented for studying the impact of digital information distraction on attentional processing. Thirty-eight young adults underwent fMRI scanning while performing a global-local attention task under three conditions: social notifications, non-social notifications, and a no-distraction baseline. The dataset includes task-based fMRI, high-resolution structural MRI, trial-level behavioral performance data, and a range of psychological questionnaires assessing digital-media tendencies, affective traits, and attentional control-related individual differences. Raw neuroimaging data, event files, and MRIQC-generated quality-control outputs are provided for all participants. This dataset supports diverse analytic approaches for exploring how different digital cues affect attentional allocation. By offering a well-documented and publicly accessible resource, the Data Descriptor promotes reproducible research and facilitates further investigations into the cognitive and neural mechanisms involved in attention within digitally saturated environments.",
  "abstract_shown": true,
  "affiliations": [
    "Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China",
    "Department of Psychology, Henan Medical University, Xinxiang, Henan China"
  ],
  "article_type": "data paper",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Congcong Liu"
    },
    {
      "affs": [
        0
      ],
      "name": "Xiangting Dai"
    },
    {
      "affs": [
        0
      ],
      "name": "Meng Yuan"
    },
    {
      "affs": [
        0
      ],
      "name": "Juan Kou"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5h2c90zt19wx8.bib",
  "cited_by": 0,
  "doi": "10.1038/s41597-026-07827-7",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13720005/",
  "id": "5h2c90zt19wx8",
  "issns": [
    "2052-4463"
  ],
  "landing_url": "https://doi.org/10.1038/s41597-026-07827-7",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Data Descriptor"
    ],
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      "openalex",
      "2805|Neural and Behavioral Psychology Studies"
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  "openalex": "W7167628617",
  "pdf_url": "https://www.nature.com/articles/s41597-026-07827-7_reference.pdf",
  "pmcid": "PMC13720005",
  "pmid": "42414339",
  "published": "2026-07-07",
  "publisher": "Nature Publishing Group",
  "ris": "https://research.draconitic.com/paper/5h2c90zt19wx8.ris",
  "sources": [
    {
      "first_seen": "2026-11-02T12:23:52Z",
      "native_id": "PMC13720005",
      "source": "pmc",
      "url": "https://doi.org/10.1038/s41597-026-07827-7"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:2805|Neural and Behavioral Psychology Studies",
      "subfield": "neuroscience"
    }
  ],
  "title": "An open fMRI dataset examining the effects of online social and non-social information distraction on attention",
  "title_text": "An open fMRI dataset examining the effects of online social and non-social information distraction on attention",
  "type": "peer-reviewed",
  "updated_at": "2026-11-03T12:20:58Z",
  "url": "https://research.draconitic.com/paper/5h2c90zt19wx8",
  "venue": "Scientific Data",
  "versions": []
}