Evidence map›Paper›PMID 26954690›Full record

ArticlePloS one2016

Principal Component Analysis of Multimodal Neuromelanin MRI and Dopamine Transporter PET Data Provides a Specific Metric for the Nigral Dopaminergic Neuronal Density.

Hiroshi Kawaguchi, Hitoshi Shimada, Fumitoshi Kodaka, Masayuki Suzuki, Hitoshi Shinotoh, Shigeki Hirano, Jeff Kershaw, Yuichi Inoue, Masaki Nakamura, Taeko Sasai and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. [EJNMMI research · 2022
    Article
  12. Deep Learning-Based Neuromelanin MRI Changes of Isolated REM Sleep Behavior Disorder.Movement disorders : official journal of the Movement Disorder Society · 2022
    Article
  13. Review
  14. Longitudinal Changes in Neuromelanin MRI Signal in Parkinson's Disease: A Progression Marker.Movement disorders : official journal of the Movement Disorder Society · 2021
    Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Degree of dopaminergic degeneration measured byNeural regeneration research · 2018
    Article
  20. 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

13 authors at 3 institutions in 1 country.

Hiroshi KawaguchiBiophysics Program, Molecular Imaging Centre, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba, Japan.
Hitoshi ShimadaMolecular Neuroimaging Program, Molecular Imaging Centre, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba, Japan.
Fumitoshi KodakaMolecular Neuroimaging Program, Molecular Imaging Centre, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba, Japan.
Masayuki SuzukiMolecular Neuroimaging Program, Molecular Imaging Centre, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba, Japan.
Hitoshi ShinotohMolecular Neuroimaging Program, Molecular Imaging Centre, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba, Japan.
Shigeki HiranoMolecular Neuroimaging Program, Molecular Imaging Centre, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba, Japan.
Jeff KershawBiophysics Program, Molecular Imaging Centre, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba, Japan.
Yuichi InoueJapan Somnology Center, Neuropsychiatric Research Institute, 91, Benten-cho, Shinjuku-ku, Tokyo, Japan.
Masaki NakamuraJapan Somnology Center, Neuropsychiatric Research Institute, 91, Benten-cho, Shinjuku-ku, Tokyo, Japan.
Taeko SasaiJapan Somnology Center, Neuropsychiatric Research Institute, 91, Benten-cho, Shinjuku-ku, Tokyo, Japan.
Mina KobayashiJapan Somnology Center, Neuropsychiatric Research Institute, 91, Benten-cho, Shinjuku-ku, Tokyo, Japan.
Tetsuya SuharaMolecular Neuroimaging Program, Molecular Imaging Centre, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba, Japan.
Hiroshi ItoBiophysics Program, Molecular Imaging Centre, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba, Japan.
Fukushima Medical University · JPJikei University School of Medicine · JPNational Institute of Advanced Industrial Science and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The loss of dopaminergic (DA) neurons in the substantia nigra (SN) is a major pathophysiological feature of patients with Parkinson's disease (PD). As nigral DA neurons contain both neuromelanin (NM) and dopamine transporter (DAT), decreased intensities in both NM-sensitive MRI and DAT PET reflect decreased DA neuronal density. This study demonstrates that a more specific metric for the nigral DA neuronal density can be derived with multimodal MRI and PET. Participants were 11 clinically diagnosed PD patients and 10 age and gender matched healthy controls (HCs). Two quantities, the NM-related index (RNM) and the binding potential of the radiotracer [18F]FE-PE2I to DAT (BPND) in SN, were measured for each subject using MRI and PET, respectively. Principal component analysis (PCA) was applied to the multimodal data set to estimate principal components. One of the components, PCP, corresponds to a basis vector oriented in a direction where both BPND and RNM increase. The ability of BPND, RNM and PCP to discriminate between HC and PD groups was compared. Correlation analyses between the motor score of the unified Parkinson's disease rating scale and each metric were also performed. PCP, BPND and RNM for PD patients were significantly lower than those for HCs (F = 16.26, P<0.001; F = 6.05, P = 0.008; F = 7.31, P = 0.034, respectively). The differential diagnostic performance between the HC and PD groups as assessed by the area under the receiver-operating characteristic curve was best for PCP (0.94, 95% CI: 0.66-1.00). A significant negative correlation was found between the motor severity score and PCp (R = -0.70, P<0.001) and RNM (R = -0.52, P = 0.015), but not for BPND (R = -0.36, P = 0.110). PCA of multimodal NM-sensitive MRI and DAT PET data provides a metric for nigral DA neuronal density that will help illuminate the pathophysiology of PD in SN. Further studies are required to explore whether PCA is useful for other parkinsonian syndromes.

Indexed as

Magnetic Resonance ImagingPositron-Emission TomographyPrincipal Component AnalysisAgedAged, 80 and overCase-Control StudiesCell CountDopamine Plasma Membrane Transport ProteinsDopaminergic NeuronsFemaleHumansMaleMelaninsMiddle AgedMultimodal ImagingParkinson DiseaseDopamine Plasma Membrane Transport ProteinsMelaninsneuromelanin

Identifiers

PMID26954690
PMCPMC4783074
OpenAlexW2299927533

What OpenQuestion holds

Textmetadata
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.