Evidence map›Paper›PMID 32020370›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2020

High-resolution PET imaging reveals subtle impairment of the serotonin transporter in an early non-depressed Parkinson's disease cohort.

Patrik Fazio, Daniel Ferreira, Per Svenningsson, Christer Halldin, Lars Farde, Eric Westman, Andrea Varrone

Open access · hybridAbstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Molecular connectivity studies in neurotransmission: a scoping review.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. The pathobiological basis of depression in Parkinson disease: challenges and outlooks.Journal of neural transmission (Vienna, Austria : 1996) · 2022
    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

7 authors at 3 institutions in 2 countries.

Patrik FazioCenter for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, RegionStockholm, Karolinska University Hospital, SE-17176, R5:02, Visionsgatan 70A, Stockholm, Sweden. patrik.fazio@ki.se.ORCID 0000-0002-1863-1922
Daniel FerreiraDepartment of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.
Per SvenningssonDepartment of Neurology, Karolinska University Hospital, Stockholm, Sweden.
Christer HalldinCenter for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, RegionStockholm, Karolinska University Hospital, SE-17176, R5:02, Visionsgatan 70A, Stockholm, Sweden.
Lars FardeCenter for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, RegionStockholm, Karolinska University Hospital, SE-17176, R5:02, Visionsgatan 70A, Stockholm, Sweden.
Eric WestmanDepartment of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.
Andrea VarroneCenter for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, RegionStockholm, Karolinska University Hospital, SE-17176, R5:02, Visionsgatan 70A, Stockholm, Sweden.
Karolinska University Hospital · SEKarolinska Institutet · SEWellcome Centre for Human Neuroimaging · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe serotonin transporter (SERT) is a biochemical marker for monoaminergic signaling in brain and has been suggested to be involved inthe pathophysiology of Parkinson's disease (PD). The aim of this PET study was to examine SERT availability in relevant brain regions in early stages ofnon-depressed PD patients.

methodsIn a cross-sectional study, 18 PD patients (13 M/5F, 64 ± 7 years, range 46-74 years, disease duration 2.9 ± 2.6 years; UPDRS motor 21.9 ± 5.2) and 20 age- and gender-matched healthy control (HC) subjects (15 M/5F, 61 ± 7 years, range 50-72 years) were included. In a subsequent longitudinal phase, ten of the PD patients (7 M/3F, UPDRS motor 20.6 ± 6.9) underwent a second PET measurement after 18-24 months. After a 3-T MRI acquisition, baseline PET measurements were performed with [

resultsThe univariate region-based analysis showed no differences in SERT levels when the PD patients were compared with the HC neither at baseline or after 2 years of follow-up. The multivariate network analysis also showed no differences at baseline. However, prominent changes in integration and segregation measures were observed at follow-up, indicating a disconnection of the cortical and subcortical regions from the three nuclei of the raphe.

conclusionWe conclude that the serotoninergic system in PD patients seems to become involved with a network dysregulation as the disease progresses, suggesting a disturbed serotonergic signaling from raphe nuclei to target subcortical and cortical regions.

Indexed as

Parkinson DiseaseSerotonin Plasma Membrane Transport ProteinsAgedBrainCross-Sectional StudiesFemaleHumansMaleMiddle AgedPositron-Emission TomographySerotonin Plasma Membrane Transport ProteinsSLC6A4 protein, humanFunctional connectivity/graph analysisParkinson’s diseaseRaphe nucleiThe serotoninergic system

Identifiers

PMID32020370
PMCPMC7396398
OpenAlexW3004909483

What OpenQuestion holds

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LicenceCC BY
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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.