Evidence map›Paper›PMID 26058693›Full record

Trial reportJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2015

Abnormal metabolic pattern associated with cognitive impairment in Parkinson's disease: a validation study.

Sanne K Meles, Chris C Tang, Laura K Teune, Rudi A Dierckx, Vijay Dhawan, Paul J Mattis, Klaus L Leenders, David Eidelberg

Open access · bronzeAbstract readClinical TrialValidation Study
In one paragraph

Trial report in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Correlation of Parkinson's disease severity andQuantitative imaging in medicine and surgery · 2025
    Article
  5. Article
  6. Parkinson's disease cerebrovascular reactivity pattern: A feasibility study.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  7. Review
  8. Article
  9. Functional Brain Networks to Evaluate Treatment Responses in Parkinson's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  10. Article
  11. Review
  12. Derivation and Validation of a Phenoconversion-Related Pattern in Idiopathic Rapid Eye Movement Behavior Disorder.Movement disorders : official journal of the Movement Disorder Society · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Network Structure and Function in Parkinson's Disease.Cerebral cortex (New York, N.Y. : 1991) · 2018
    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

8 authors at 4 institutions in 2 countries.

Sanne K MelesDepartment of Neurology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Chris C TangCenter for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA.
Laura K TeuneDepartment of Neurology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Rudi A DierckxDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Vijay DhawanCenter for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA.
Paul J MattisCenter for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA.
Klaus L LeendersDepartment of Neurology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
David EidelbergCenter for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA.
Center for Neurosciences · USUniversity Medical Center Groningen · NLFeinstein Institute for Medical Research · USUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive deficits in Parkinson's disease (PD) have been associated with a specific metabolic covariance pattern. Although the expression of this PD cognition-related pattern (PDCP) correlates with neuropsychological performance, it is not known whether the PDCP topography is reproducible across PD populations. We therefore sought to identify a PDCP topography in a new sample comprised of 19 Dutch PD subjects. Network analysis of metabolic scans from these individuals revealed a significant PDCP that resembled the original network topography. Expression values for the new PDCP correlated (P=0.001) with executive dysfunction on the Frontal Assessment Battery (FAB). Subject scores for the new PDCP correlated (P<0.001) with corresponding values for the original pattern, which also correlated (P<0.005) with FAB scores in this patient group. For further validation, subject scores for the new PDCP were computed in an independent group of 86 American PD patients. In this cohort, subject scores for the new and original PDCP topographies were closely correlated (P<0.001); significant correlations between pattern expression and cognitive performance (P<0.05) were observed for both PDCP topographies. These findings suggest that the PDCP is a replicable imaging marker of PD cognitive dysfunction.

Indexed as

Cognition DisordersParkinson DiseasePositron-Emission TomographyAgedFemaleHumansMaleMiddle AgedRadiography

Identifiers

PMID26058693
PMCPMC4640325
OpenAlexW1514787893

What OpenQuestion holds

Textmetadata
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.