Ultra-high resolution multimodal MRI densely labelled holistic structural brain atlas

In this paper, we introduce a novel structural holistic Atlas (holiAtlas) of human brain anatomy based on multimodal and high-resolution MRI that covers several anatomical levels from the organ level to the substructure level, using a new protocol for dense labelling generated from the fusion of multiple local protocols at different scales. This atlas was constructed by averaging images and segmentations of 75 healthy subjects from the Human Connectome Project database. Specifically, 3T MR images of T1, T2 and WMn (White Matter nulled) contrasts at 0.125 mm3 resolution were selected for this project. The images of these 75 subjects were nonlinearly registered and averaged using symmetric group-wise normalisation to construct the atlas. At the finest level, the proposed atlas has 350 different labels derived from 7 distinct delineation protocols. These labels were grouped at multiple scales, offering a coherent and consistent holistic representation of the brain across different levels of detail. This multiscale and multimodal atlas can be used to develop new ultra-high-resolution segmentation methods, potentially improving the early detection of neurological disorders. We make it publicly available to the scientific community.

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Publication Details

Journal
Scientific Reports
Published
2026-02-17
DOI
https://doi.org/10.1038/s41598-026-40186-2
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Ultra-high resolution multimodal MRI densely labelled holistic structural brain atlas

J. Francois Mangin, Rémi Giraud, Roberto Vivo-Hernando, Fernando Aparici et al.
Scientific Reports
Functional Brain Connectivity Studies
article

Ultra-high resolution multimodal MRI densely labelled holistic structural brain atlas

J. Francois Mangin, Rémi Giraud, Roberto Vivo-Hernando, Fernando Aparici, José V. Manjón, Denis Rivière, Marina Ruiz-Perez, Sergio Morell-Ortega, Edern Le Bot, Gregorio Rubio, Vincent V Planche, Nicole Labra-Avila, Pierrick Coupe, Boris Mansencal, Gwenaelle Catheline, Marien Gadea, Enrique Lanuza
article en

Abstract

In this paper, we introduce a novel structural holistic Atlas (holiAtlas) of human brain anatomy based on multimodal and high-resolution MRI that covers several anatomical levels from the organ level to the substructure level, using a new protocol for dense labelling generated from the fusion of multiple local protocols at different scales. This atlas was constructed by averaging images and segmentations of 75 healthy subjects from the Human Connectome Project database. Specifically, 3T MR images of T1, T2 and WMn (White Matter nulled) contrasts at 0.125 mm3 resolution were selected for this project. The images of these 75 subjects were nonlinearly registered and averaged using symmetric group-wise normalisation to construct the atlas. At the finest level, the proposed atlas has 350 different labels derived from 7 distinct delineation protocols. These labels were grouped at multiple scales, offering a coherent and consistent holistic representation of the brain across different levels of detail. This multiscale and multimodal atlas can be used to develop new ultra-high-resolution segmentation methods, potentially improving the early detection of neurological disorders. We make it publicly available to the scientific community.

Scientific ReportsVol. 16(1)
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), École Pratique des Hautes Études (FR), Universitat de València (ES), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Centre Hospitalier Universitaire de Bordeaux (FR), Hospital Universitari i Politècnic La Fe (ES), Institut des Maladies Neurodégénératives (FR), Centro de Investigación Biomédica en Red de Salud Mental (ES), Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (ES), CEA Paris-Saclay (FR), Laboratoire Bordelais de Recherche en Informatique (FR), Laboratoire de l'Intégration du Matériau au Système (FR), Institut Polytechnique de Bordeaux (FR), Universitat Politècnica de València (ES)
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Functional Brain Connectivity Studies
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