Evidence map›Paper›PMID 41703001›Full record

ArticleScientific reports2026

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

José V Manjón, Sergio Morell-Ortega, Marina Ruiz-Perez, Boris Mansencal, Edern Le Bot, Marien Gadea, Enrique Lanuza, Gwenaelle Catheline, Thomas Tourdias, Vincent Planche and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

José V ManjónInstituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain. jmanjon@fis.upv.es.
Sergio Morell-OrtegaInstituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain.
Marina Ruiz-PerezInstituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain.
Boris MansencalCNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, in2brain, Talence, F-33400, France.
Edern Le BotCNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, in2brain, Talence, F-33400, France.
Marien GadeaDepartment of Psychobiology, Faculty of Psychology, Universitat de Valencia, Valencia, Spain.
Enrique LanuzaDepartment of Cell Biology, University Valencia, Burjassot, 46100, Valencia, Spain.
Gwenaelle CathelineUniversity Bordeaux, CNRS, EPHE, PSL, INCIA, UMR 5283, Bordeaux, F-33000, France.
Thomas TourdiasService de Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, Bordeaux, F-33000, France.
Vincent PlancheInstitut des Maladies Neurodégénératives, Univ. Bordeaux, CNRS, UMR 5293, Bordeaux, F-33000, France.
Remi GiraudUniv. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, Talence, F-33400, France.
Denis RivièreNeuroSpin, BAOBAB lab, CEA Saclay, Gif-sur-Yvette, France.
Jean-Francois ManginNeuroSpin, BAOBAB lab, CEA Saclay, Gif-sur-Yvette, France.
Nicole Labra-AvilaNeuroSpin, BAOBAB lab, CEA Saclay, Gif-sur-Yvette, France.
Roberto Vivo-HernandoInstituto de Automática e Informática Industrial, Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain.
Gregorio RubioDepartamento de matemática aplicada, Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain.
Fernando Aparici-RoblesÁrea de Imagen Médica. Hospital Universitario y Politécnico La Fe, Valencia, Spain.
Maria de la Iglesia-VayaUnidad Mixta de Imagen Biomédica FISABIO-CIPF. Fundación para el Fomento de la Investigación Sanitario y Biomédica de la Comunidad Valenciana, Valencia, Spain.
Pierrick CoupéCNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, in2brain, Talence, F-33400, France.

Funding

Agence Nationale de la Recherche ANR-18-CE45-0013Ministerio de Ciencia e Innovación PID2020-118608RB-I00Ministerio de Ciencia e Innovación PID2023-152127OB-I00
6 · The paper itself

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.

Indexed as

BrainMagnetic Resonance ImagingMultimodal ImagingBrain MappingConnectomeFemaleHumansImage Processing, Computer-AssistedMaleAtlasBrain volume analysisHolisticMRIMultimodalSegmentation

Identifiers

PMID41703001
PMCPMC13004940

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.