{
  "abstract": "PURPOSE: To investigate relationships among relaxation, susceptibility, and diffusion parameters in healthy white matter (WM) and to characterize WM MRI feature organization using an integrative multimodal quantitative MRI framework. METHODS: *, and quantitative susceptibility mapping, while diffusion kurtosis imaging provided fractional anisotropy (FA), mean kurtosis, axial kurtosis (AK), and radial kurtosis. All maps were spatially normalized to Montreal Neurological Institute (MNI) space, and mean values were extracted from WM tracts defined by the Johns Hopkins University (JHU) White Matter Atlas. Pearson correlation analysis with false discovery rate correction, principal component analysis (PCA), hierarchical clustering, and bootstrap stability analysis were performed. RESULTS: *, and bootstrap analysis supported loading stability, with mean loading correlations of 0.94 for PC1 and 0.90 for PC2. WM tracts formed 4 major cluster-like groups and showed tract-specific multimodal fingerprints. CONCLUSION: Multimodal quantitative MRI provides a concise tract-level MRI feature representation of WM by integrating relaxation, susceptibility, and diffusion information. This exploratory framework may support future studies investigating subtle WM alterations, although validation in pathological cohorts is required.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "name": "Emi Sato"
    },
    {
      "name": "Yuki Kanazawa"
    },
    {
      "name": "Masafumi Harada"
    },
    {
      "name": "Yo Taniguchi"
    },
    {
      "name": "Masahiro Takizawa"
    },
    {
      "name": "Hiroaki Hayashi"
    },
    {
      "name": "Motoharu Sasaki"
    },
    {
      "name": "Akihiro Haga"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/94sg51sp82ajd.bib",
  "cited_by": 0,
  "doi": "10.2463/mrms.mp.2026-0105",
  "fulltext_url": "https://www.jstage.jst.go.jp/article/mrms/25/4/25_mp.2026-0105/_article",
  "id": "94sg51sp82ajd",
  "issns": [
    "1880-2206",
    "1347-3182"
  ],
  "landing_url": "https://www.jstage.jst.go.jp/article/mrms/25/4/25_mp.2026-0105/_article",
  "language": null,
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "jstage-journal",
      "medicine/imaging"
    ],
    [
      "openalex",
      "2741|Advanced Neuroimaging Techniques and Applications"
    ]
  ],
  "openalex": "W7171417763",
  "pdf_url": "https://www.jstage.jst.go.jp/article/mrms/25/4/25_mp.2026-0105/_pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-28",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/94sg51sp82ajd.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:42Z",
      "native_id": "10.2463/mrms.mp.2026-0105",
      "source": "jstage",
      "url": "https://www.jstage.jst.go.jp/article/mrms/25/4/25_mp.2026-0105/_article"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2741|Advanced Neuroimaging Techniques and Applications",
      "subfield": "imaging"
    }
  ],
  "title": "Multimodal Quantitative Parameter Mapping Characterizes Low-dimensional Feature Organization and Tract-specific Signatures in White Matter",
  "title_text": "Multimodal Quantitative Parameter Mapping Characterizes Low-dimensional Feature Organization and Tract-specific Signatures in White Matter",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:42Z",
  "url": "https://research.draconitic.com/paper/94sg51sp82ajd",
  "venue": "Magnetic Resonance in Medical Sciences",
  "versions": []
}