Evidence map›Paper›PMID 27812347›Full record

ArticleFrontiers in neurology2016

T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson's Disease.

Katherine A Fu, Romil Nathan, Ivo D Dinov, Junning Li, Arthur W Toga

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Application of Neuromelanin MR Imaging in Parkinson Disease.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  7. Article
  8. Observational
  9. 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

5 authors at 2 institutions in 1 country.

Katherine A FuLaboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Romil NathanLaboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, University of Southern California , Los Angeles, CA , USA.
Ivo D DinovStatistics Online Computational Resource, Health Behavior and Biological Sciences, University of Michigan , Ann Arbor, MI , USA.
Junning LiLaboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, University of Southern California , Los Angeles, CA , USA.
Arthur W TogaLaboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, University of Southern California , Los Angeles, CA , USA.
University of Southern California · USUniversity of Michigan–Ann Arbor · US

Funding

Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON, WESTIN, CARL-FREDRIK · 2012 to 2022
$20.9M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jeffrey F Horowitz · 2010 to 2026
$20.3M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
Public Outreach and Education CoreP50NS091856 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALBIN, ROGER L · 2014 to 2019
$10.1M
Pilot Projects CoreP20NR015331 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LARSON, JANET L. · 2014 to 2018
$1.3M
NIBIB NIH HHS P41 EB015902NIBIB NIH HHS P41 EB015922NIBIB NIH HHS U54 EB020406NIDDK NIH HHS P30 DK089503NINDS NIH HHS P50 NS091856NINR NIH HHS P20 NR015331
6 · The paper itself

Abstract

backgroundThe nigrosome-1 region of the substantia nigra (SN) undergoes the greatest and earliest dopaminergic neuron loss in Parkinson's disease (PD). As T2-weighted magnetic resonance imaging (MRI) scans are often collected with routine clinical MRI protocols, this investigation aims to determine whether T2-imaging changes in the nigrosome-1 are related to clinical measures of PD and to assess their potential as a more clinically accessible biomarker for PD.

methodsVoxel intensity ratios were calculated for T2-weighted MRI scans from 47 subjects from the Parkinson's Progression Markers Initiative database. Three approaches were used to delineate the SN and nigrosome-1: (1) manual segmentation, (2) automated segmentation, and (3) area voxel-based morphometry. Voxel intensity ratios were calculated from voxel intensity values taken from the nigrosome-1 and two areas of the remaining SN. Linear regression analyses were conducted relating voxel intensity ratios with the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) sub-scores for each subject.

resultsFor manual segmentation, linear regression tests consistently identified the voxel intensity ratio derived from the dorsolateral SN and nigrosome-1 (IR2) as predictive of nBehav (

conclusionNeuroimaging biomarkers may be used as a proxy of changes in the nigrosome-1, measured by MDS-UPDRS scores as an indicator of the severity of PD. The voxel intensity ratio derived from the dorsolateral SN and nigrosome-1 was consistently predictive of non-motor complex behaviors in all three analyses and predictive of non-motor experiences of daily living, motor experiences of daily living, and motor signs of PD in two of the three analyses. These results suggest that T2 changes in the nigrosome-1 may relate to certain clinical measures of PD. T2 changes in the nigrosome-1 may be considered when developing a more accessible clinical diagnostic tool for patients with suspected PD.

Indexed as

movement disordersMRInigrosome-1Parkinson’s disease

Identifiers

PMID27812347
PMCPMC5071353
OpenAlexW2533049279

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.