Resting-State RGB Parcellation: A Data-Driven Approach for Intra-operative Functional Brain Mapping
Accurate brain mapping during neurosurgery is crucial. We propose a novel seed cross-correlation parcellation method to analyse resting-state functional RGB images, identifying functional regions in single-patient intraoperative data. Validation against electrical brain stimulation highlights its potential as a vital intraoperative tool.
Authors
- F. Schneider (ORCID: https://orcid.org/0000-0002-4033-0683)
- Thiébaud Picart (ORCID: https://orcid.org/0000-0001-6494-6725)
- Charly Caredda (ORCID: https://orcid.org/0000-0002-9592-0883)
- Bruno Montcel (ORCID: https://orcid.org/0000-0003-3352-9560)
- Jacques Guyotat
- Adithep Kawinkij
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Hospices Civils de Lyon (FR)
- Ministre de la Santé (BJ)
- Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (FR)
- Université Jean Monnet (FR)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/ecbo.2025.w1b.3
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00