Evidence map›Paper›PMID 31091502›Full record

ArticleNeuroImage. Clinical2019

Joint pattern analysis applied to PET DAT and VMAT2 imaging reveals new insights into Parkinson's disease induced presynaptic alterations.

Jessie Fanglu Fu, Ivan Klyuzhin, Jessamyn McKenzie, Nicole Neilson, Elham Shahinfard, Katie Dinelle, Martin J McKeown, A Jon Stoessl, Vesna Sossi

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

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  9. NRM 2021 Abstract Booklet.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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  12. Cardiac sympathetic innervation and vesicular storage in pure autonomic failure.Annals of clinical and translational neurology · 2020
    Article
  13. Article
  14. Review
  15. 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

9 authors at 2 institutions in 1 country.

Jessie Fanglu FuDepartment of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada. Electronic address: jfu@phas.ubc.ca.
Ivan KlyuzhinDivision of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
Jessamyn McKenzieDjavad Mowafaghian Centre for Brain Health, Pacific Parkinson's Research Centre, University of British Columbia & Vancouver Coastal Health, Vancouver, BC, Canada.
Nicole NeilsonDjavad Mowafaghian Centre for Brain Health, Pacific Parkinson's Research Centre, University of British Columbia & Vancouver Coastal Health, Vancouver, BC, Canada.
Elham ShahinfardDjavad Mowafaghian Centre for Brain Health, Pacific Parkinson's Research Centre, University of British Columbia & Vancouver Coastal Health, Vancouver, BC, Canada.
Katie DinelleDjavad Mowafaghian Centre for Brain Health, Pacific Parkinson's Research Centre, University of British Columbia & Vancouver Coastal Health, Vancouver, BC, Canada.
Martin J McKeownDjavad Mowafaghian Centre for Brain Health, Pacific Parkinson's Research Centre, University of British Columbia & Vancouver Coastal Health, Vancouver, BC, Canada.
A Jon StoesslDjavad Mowafaghian Centre for Brain Health, Pacific Parkinson's Research Centre, University of British Columbia & Vancouver Coastal Health, Vancouver, BC, Canada.
Vesna SossiDepartment of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.
Vancouver Coastal Health · CAUniversity of British Columbia · CA

Funding

CIHR MOP-125989
6 · The paper itself

Abstract

Most neurodegenerative diseases are known to affect several aspects of brain function, including neurotransmitter systems, metabolic and functional connectivity. Diseases are generally characterized by common clinical characteristics across subjects, but there are also significant inter-subject variations. It is thus reasonable to expect that in terms of brain function, such clinical behaviors will be related to a general overall multi-system pattern of disease-induced alterations and additional brain system-specific abnormalities; these additional abnormalities would be indicative of a possible unique system response to disease or subject-specific propensity to a specific clinical progression. Based on the above considerations we introduce and validate the use of a joint pattern analysis approach, canonical correlation analysis and orthogonal signal correction, to analyze multi-tracer PET data to identify common (reflecting functional similarities) and unique (reflecting functional differences) information provided by each tracer/target. We apply the method to [

Indexed as

AgedDopamine Plasma Membrane Transport ProteinsFemaleHumansMaleMiddle AgedParkinson DiseasePositron-Emission TomographyPresynaptic TerminalsVesicular Monoamine Transport ProteinsDopamine Plasma Membrane Transport ProteinsSLC18A2 protein, humanVesicular Monoamine Transport ProteinsData fusionDopamineParkinson's diseasePattern analysisPositron emission tomography

Identifiers

PMID31091502
PMCPMC6517523
OpenAlexW2943930278

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.