Evidence map›Paper›PMID 42729377›Full record

ArticleFrontiers in neurology2026

Deep learning-based susceptibility map-weighted imaging analysis of dorsal nigral hyperintensity as a surrogate for dopamine transporter positron emission tomography in patients with idiopathic rapid eye movement sleep behavior disorder.

Beomseok Sohn, Jae Rim Kim, Hwan Heo, Soohwa Song, Eung Yeop Kim, Eun Yeon Joo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Beomseok Sohn *Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jae Rim Kim *Department of Neurology, Chungnam National University Sejong Hospital, Sejong, Republic of Korea.
Hwan HeoHeuron Co., Ltd., Seoul, Republic of Korea.
Soohwa SongHeuron Co., Ltd., Seoul, Republic of Korea.
Eung Yeop KimDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Eun Yeon JooDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic REM sleep behavior disorder (iRBD) is a prodromal stage of alpha-synucleinopathies, and accurate identification of early dopaminergic dysfunction is clinically important. This study evaluated whether deep learning-based susceptibility map-weighted imaging (SMwI) can predict dopamine transporter (DAT) positron emission tomography (PET) abnormalities in patients with iRBD. We retrospectively included 74 patients who underwent both SMwI and

Indexed as

Deep LearningDopamine Plasma Membrane Transport ProteinsMagnetic Resonance ImagingPositron-Emission TomographyREM Sleep Behavior DisorderSubstantia NigraAdultAgedDopaminergic ImagingFemaleHumansMaleMiddle AgedRetrospective StudiesDopamine Plasma Membrane Transport Proteinsartificial intelligencedeep learningdopamine transporter PETidiopathic REM sleep behavior disordersusceptibility map-weighted imaging

Identifiers

PMID42729377
PMCPMC13561941

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.