{
  "abstract": "Many volume-based neuroimaging workflows require NIfTI label volumes, whereas a growing number of cortical parcellations are distributed in CIFTI surface space. We present Surf_2_Volume, a Python package for converting categorical CIFTI cortical parcellations into NIfTI volumes by resampling surface labels and filling a target cortical ribbon. The package provides configurable control over cortical-ribbon support and allows users either to specify the mapping threshold manually or to select suitable thresholds automatically according to the similarity between parcel-size distributions in the converted volume and the source CIFTI, without requiring a volumetric reference for threshold selection. We evaluated Surf_2_Volume using the Schaefer2018 100-parcel 7-network and 17-network atlases and compared its automatically selected outputs with multiple Connectome Workbench surface-to-volume mappings. Surf_2_Volume produced more continuous cortical coverage while avoiding the substantial underfilling observed with conservative Workbench mappings and the wider spatial expansion observed with more permissive nearest-vertex mappings. Across both atlases, the automatically selected Surf_2_Volume outputs showed consistently closer agreement with the paired reference volumes than the tested Workbench mappings. In HCP resting-state data, parcel time series extracted from Surf_2_Volume volumes also showed consistently high agreement with those obtained from the paired reference volumes. Together, these results support Surf_2_Volume as a configurable Python-based solution for converting CIFTI cortical parcellations to NIfTI volumes, with automatic threshold selection and stable performance across the two tested network parcellations.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2608.27012",
  "author_total": 8,
  "authors": [
    {
      "name": "Shuguang Yang"
    },
    {
      "name": "Ziyi Wang"
    },
    {
      "name": "Yujing Shen"
    },
    {
      "name": "Zhengye Wang"
    },
    {
      "name": "Junyi Li"
    },
    {
      "name": "Yujing Nie"
    },
    {
      "name": "Feizhen Cao"
    },
    {
      "name": "Suiping Wang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5saw8ajwp5g1k.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2608.27012",
  "fulltext_url": null,
  "id": "5saw8ajwp5g1k",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2608.27012",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "q-bio.QM"
    ],
    [
      "openalex",
      "2805|Functional Brain Connectivity Studies"
    ]
  ],
  "openalex": "W7204586995",
  "pdf_url": "https://arxiv.org/pdf/2608.27012",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-04",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/5saw8ajwp5g1k.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:27:11Z",
      "native_id": "2608.27012",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2608.27012"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "arxiv:q-bio.QM",
      "subfield": "bioinformatics"
    }
  ],
  "title": "Surf_2_Volume: A Python Package for Converting CIFTI Cortical Parcellations to NIfTI Volumes",
  "title_text": "Surf_2_Volume: A Python Package for Converting CIFTI Cortical Parcellations to NIfTI Volumes",
  "type": "preprint",
  "updated_at": "2026-10-30T12:27:11Z",
  "url": "https://research.draconitic.com/paper/5saw8ajwp5g1k",
  "venue": "arXiv",
  "versions": []
}