Evidence map›Paper›PMID 42675061›Full record

ArticleScientific data2026

A neuroimaging atlas of the nigrosomes in the substantia nigra based on 3D histology.

Malte Brammerloh, Anneke Alkemade, Pierre-Louis Bazin, Caroline Jantzen, Carsten Jäger, Aurora Gasparello, Mikhail Zubkov, Puneet Talwar, Gilles Vandewalle, Andreas Herrler and 7 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Malte BrammerlohDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103, Leipzig, Germany. malte.brammerloh@chuv.ch.
Anneke AlkemadeIntegrative Model-based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, Nieuwe Achtergracht 129B, 1001, NK, Amsterdam, The Netherlands.
Pierre-Louis BazinFull Brain Picture Analytics, Lage Morsweg 73, 2332, XB, Leiden, The Netherlands.
Caroline JantzenDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103, Leipzig, Germany.
Carsten JägerDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103, Leipzig, Germany.
Aurora Gasparello1Sleep and Health Lab, GIGA-Institute, CRC-Human Imaging Unit, University of Liége (ULiége), Allée du Six Août, 8 (B30), 4000, Sart Tilman, Liége, Belgium.
Mikhail Zubkov1Sleep and Health Lab, GIGA-Institute, CRC-Human Imaging Unit, University of Liége (ULiége), Allée du Six Août, 8 (B30), 4000, Sart Tilman, Liége, Belgium.
Puneet Talwar1Sleep and Health Lab, GIGA-Institute, CRC-Human Imaging Unit, University of Liége (ULiége), Allée du Six Août, 8 (B30), 4000, Sart Tilman, Liége, Belgium.
Gilles Vandewalle1Sleep and Health Lab, GIGA-Institute, CRC-Human Imaging Unit, University of Liége (ULiége), Allée du Six Août, 8 (B30), 4000, Sart Tilman, Liége, Belgium.
Andreas HerrlerDepartment of Anatomy and Embryology, Maastricht University, Universiteitssingel 50, 6229, HA, Maastricht, Netherlands.
Kerrin J PineDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103, Leipzig, Germany.
Markus MorawskiDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103, Leipzig, Germany.
Rawien BalesarIntegrative Model-based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, Nieuwe Achtergracht 129B, 1001, NK, Amsterdam, The Netherlands.
Katrin AmuntsC. & O. Vogt Institute for Brain Research, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Merowingerplatz 1A, 0225, Düsseldorf, Germany.
Birte U ForstmannIntegrative Model-based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, Nieuwe Achtergracht 129B, 1001, NK, Amsterdam, The Netherlands.
Nikolaus WeiskopfDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103, Leipzig, Germany.
Evgeniya KirilinaDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103, Leipzig, Germany.

Funding

Dutch Organisation for Knowledge and Innovation in Health, Healthcare and Well-being (ZonMw) 10510062420003, 10510062110003German Federal Ministry of Education and Research (BMBF) 01ED2210German Federal Ministry of Education and Research (BMBF) 01ED2508
6 · The paper itself

Abstract

Nigrosomes are formed by clusters of pigmented dopaminergic cells in the substantia nigra that critically contribute to dopaminergic function. The ever-increasing resolution of ultra-high-field MRI brings clinical imaging of these clusters into reach, promising unprecedented insight into the functional role of the nigrosomes and their early degeneration in Parkinson's disease. However, due to the nigrosomes' small extents and intricate shapes, they are not included in current MRI brain atlases, preventing nigrosome-specific MRI data analysis. We provide a comprehensive 3D histological atlas of the five nigrosomes co-aligned to the widely-used MNI152 2009b space. This atlas is based on 3D-reconstructed, ultra-high-resolution block-face images and gold-standard nigrosome delineations in calbindin-D28K immunohistochemistry. We validated the atlas's accuracy using the multimodal ultra-high-resolution post mortem BigBrain dataset and demonstrated its consistency with qualitative nigrosome atlases based on classical 2D histology. We provide detailed usage instructions for applying our atlas to ultra-high-resolution and -field MRI data. The openly available atlas enables neuroimaging studies of the nigrosomes, opening a new avenue toward understanding the differential involvement of the nigrosomes in the healthy and diseased brain and the development of neuroimaging biomarkers of dopaminergic neurodegeneration.

Indexed as

NeuroimagingSubstantia NigraAtlases as TopicHumansImaging, Three-DimensionalMagnetic Resonance Imaging

Identifiers

PMID42675061
PMCPMC13529644

What OpenQuestion holds

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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.