Evidence map›Paper›PMID 40483299›Full record

ArticleScientific data2025

High resolution multi-parametric probabilistic in vivo atlas of dorsolateral nigral hyperintensity via 7 T MRI.

Marta Lancione, Graziella Donatelli, Gianmichele Migaleddu, Matteo Cencini, Paolo Bosco, Mauro Costagli, Roberto Ceravolo, Mirco Cosottini, Michela Tosetti, Laura Biagi

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

10 authors.

Marta LancioneIRCCS Stella Maris Foundation, Pisa, Italy.ORCID 0000-0001-8911-7878
Graziella DonatelliIMAGO7 Foundation, Pisa, Italy. graziella_donatelli@hotmail.com.
Gianmichele MigaledduNeuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Matteo CenciniIRCCS Stella Maris Foundation, Pisa, Italy.
Paolo BoscoIRCCS Stella Maris Foundation, Pisa, Italy.
Mauro CostagliDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Roberto CeravoloNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Mirco CosottiniNeuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Michela TosettiIRCCS Stella Maris Foundation, Pisa, Italy.
Laura BiagiIRCCS Stella Maris Foundation, Pisa, Italy.

Funding

Ministero della Salute (Ministry of Health, Italy) RC 2024Ministero della Salute (Ministry of Health, Italy) RCR-2022-23682285
6 · The paper itself

Abstract

The role of Nigrosome 1 (N1) in neurodegeneration and motor disorders, particularly in Parkinson's disease (PD), is increasingly recognized. The study of this region using quantitative measures, such as iron quantification through Quantitative Susceptibility Mapping (QSM), can provide enlightening insights into some pathological features of these diseases representing important biomarkers. However, the small size and the vanishing contrast with respect to the surrounding substantia nigra in PD patients make the segmentation of N1 challenging. For this reason, we provide a probabilistic atlas of the N1 portion corresponding to the swallow-tail hyperintensity, hereafter referred to as the Dorsolateral Nigral Hyperintensity (DNH), created on a high-resolution multi-parametric template from T1-weighted, T2*-weighted, and QSM images acquired in vivo at 7 T. The atlas also includes quantitative T2* and R2* templates and is provided in the MNI standard space. It aims to facilitate the study of N1, avoiding operator-dependent biases in segmentations, and allowing the standardisation of the quantitative assessment.

Indexed as

Magnetic Resonance ImagingParkinson DiseaseSubstantia NigraHumans

Identifiers

PMID40483299
PMCPMC12145438

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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.