{
  "abstract": "We present a resting-state fMRI–based protocol for quantifying anatomical distance–dependent functional connectivity strength (FCS) and demonstrate its application in vascular cognitive impairment, no dementia (VCIND). Resting-state fMRI data from VCIND patients and demographically matched normal controls were analyzed using voxel-wise FCS across six anatomical distance intervals to characterize short-, medium-, and long-range functional connectivity. Network-level analyses were also performed to identify large-scale network involvement. The results reveal a hierarchical distance-dependent organization of functional connectivity, with short-range connectivity concentrated in primary sensory systems and long-range connectivity increasingly involving higher-order association networks. In VCIND, significant alterations were observed particularly within the frontoparietal network, suggesting compensatory network reorganization associated with cognitive performance. These distance-dependent FCS alterations may serve as potential neuroimaging markers for early identification and risk stratification of VCIND and may also support longitudinal monitoring of functional network changes.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China",
    "Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China",
    "Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Qiong-Ge Li",
      "orcid": "0000-0003-3863-954X"
    },
    {
      "affs": [
        2
      ],
      "name": "Yi Xing"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Yi Shan"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Ya-Yan Yin"
    },
    {
      "affs": [
        2
      ],
      "name": "Yi Tang"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Jie Lu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4k76gxwdg3by9.bib",
  "cited_by": 0,
  "doi": "10.1177/15333175261491804",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13724969/",
  "id": "4k76gxwdg3by9",
  "issns": [
    "1533-3175",
    "1938-2731"
  ],
  "landing_url": "https://doi.org/10.1177/15333175261491804",
  "language": "en",
  "licence": "CC-BY-NC-4.0",
  "licence_label": "CC BY-NC 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Original Research Article"
    ],
    [
      "openalex",
      "2805|Functional Brain Connectivity Studies"
    ]
  ],
  "openalex": "W7213633430",
  "pdf_url": null,
  "pmcid": "PMC13724969",
  "pmid": "42760808",
  "published": "2026-09-18",
  "publisher": "SAGE Publications",
  "ris": "https://research.draconitic.com/paper/4k76gxwdg3by9.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T12:23:27Z",
      "native_id": "PMC13724969",
      "source": "pmc",
      "url": "https://doi.org/10.1177/15333175261491804"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:2805|Functional Brain Connectivity Studies",
      "subfield": "neuroscience"
    }
  ],
  "title": "Distance-dependent Functional Connectivity Strength Analysis Using Resting-State fMRI: Application to Vascular Cognitive Impairment, No Dementia",
  "title_text": "Distance-dependent Functional Connectivity Strength Analysis Using Resting-State fMRI: Application to Vascular Cognitive Impairment, No Dementia",
  "type": "peer-reviewed",
  "updated_at": "2026-11-06T12:21:20Z",
  "url": "https://research.draconitic.com/paper/4k76gxwdg3by9",
  "venue": "American Journal of Alzheimer's Disease and Other Dementias",
  "versions": []
}