Evidence map›Paper›PMID 37403733›Full record

ArticleBrain : a journal of neurology2023

Structural and molecular cholinergic imaging markers of cognitive decline in Parkinson's disease.

Julia Schumacher, Prabesh Kanel, Martin Dyrba, Alexander Storch, Nicolaas I Bohnen, Stefan Teipel, Michel J Grothe

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Prevalence and state-dependent patterns of non-motor fluctuations in Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Article
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  5. Review
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  9. Cortical and subcortical morphological alterations inFrontiers in aging neuroscience · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Advanced brain aging, selective vulnerability in gray matter, and cognition in Parkinson's disease.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  14. Review
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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 3 countries.

Julia SchumacherDeutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock-Greifswald, 18147 Rostock, Germany.ORCID 0000-0001-7323-4789
Prabesh KanelUniversity of Michigan Morris K. Udall Center for Excellence in Parkinson's Disease Research, Ann Arbor, MI 48109, USA.
Martin DyrbaDeutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock-Greifswald, 18147 Rostock, Germany.
Alexander StorchDeutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock-Greifswald, 18147 Rostock, Germany.ORCID 0000-0002-1133-9216
Nicolaas I BohnenUniversity of Michigan Morris K. Udall Center for Excellence in Parkinson's Disease Research, Ann Arbor, MI 48109, USA.ORCID 0000-0003-0352-6414
Stefan TeipelDeutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock-Greifswald, 18147 Rostock, Germany.
Michel J GrotheUnidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013 Seville, Spain.ORCID 0000-0003-2600-9022
German Center for Neurodegenerative Diseases · DEUniversity of Michigan · USBiomedical Research Networking Center on Neurodegenerative Diseases · ES

Funding

Tomography and Data AnalysisP01NS015655 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KOEPPE, ROBERT A · 1985 to 2012
$13.0M
Udall Catalyst Research Project: Retrosplenial Cholinergic and Attentional-Motor Integration DysfunctionP50NS123067 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AHMED, OMAR JAMIL · 2021 to 2025
$11.6M
Public Outreach and Education CoreP50NS091856 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALBIN, ROGER L · 2014 to 2019
$10.1M
Central cholinergic presbyvestibulopathy network changes and imbalance in Parkinson's disease and older personsR01AG073100 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOHNEN, NICOLAAS IDA · 2021 to 2025
$3.0M
NIA NIH HHS R01 AG073100NIH HHS NS015655NINDS NIH HHS P01 NS015655NINDS NIH HHS P50 NS091856NINDS NIH HHS P50 NS123067
6 · The paper itself

Abstract

Cognitive decline in Parkinson's disease is related to cholinergic system degeneration, which can be assessed in vivo using structural MRI markers of basal forebrain volume and PET measures of cortical cholinergic activity. In the present study we aimed to examine the interrelation between basal forebrain degeneration and PET-measured depletion of cortical acetylcholinesterase activity as well as their relative contribution to cognitive impairment in Parkinson's disease. This cross-sectional study included 143 Parkinson's disease participants without dementia and 52 healthy control participants who underwent structural MRI, PET scanning with 11C-methyl-4-piperidinyl propionate (PMP) as a measure of cortical acetylcholinesterase activity, and a detailed cognitive assessment. Based on the fifth percentile of the overall cortical PMP PET signal from the control group, people with Parkinson's disease were subdivided into a normo-cholinergic (n = 94) and a hypo-cholinergic group (n = 49). Volumes of functionally defined posterior and anterior basal forebrain subregions were extracted using an established automated MRI volumetry approach based on a stereotactic atlas of cholinergic basal forebrain nuclei. We used Bayesian t-tests to compare basal forebrain volumes between controls, and normo- and hypo-cholinergic Parkinson's participants after covarying out age, sex and years of education. Associations between the two cholinergic imaging measures were assessed across all people with Parkinson's disease using Bayesian correlations and their respective relations with performance in different cognitive domains were assessed with Bayesian ANCOVAs. As a specificity analysis, hippocampal volume was added to the analysis. We found evidence for a reduction of posterior basal forebrain volume in the hypo-cholinergic compared to both normo-cholinergic Parkinson's disease [Bayes factor against the null model (BF10) = 8.2] and control participants (BF10 = 6.0), while for the anterior basal forebrain the evidence was inconclusive (BF10 < 3). In continuous association analyses, posterior basal forebrain volume was significantly associated with cortical PMP PET signal in a temporo-posterior distribution. The combined models for the prediction of cognitive scores showed that both cholinergic markers (posterior basal forebrain volume and cortical PMP PET signal) were independently related to multi-domain cognitive deficits, and were more important predictors for all cognitive scores, including memory scores, than hippocampal volume. We conclude that degeneration of the posterior basal forebrain in Parkinson's disease is accompanied by functional cortical changes in acetylcholinesterase activity and that both PET and MRI cholinergic imaging markers are independently associated with multi-domain cognitive deficits in Parkinson's disease without dementia. Comparatively, hippocampal atrophy only seems to have minimal involvement in the development of early cognitive impairment in Parkinson's disease.

Indexed as

Basal ForebrainCognitive DysfunctionDementiaParkinson DiseaseAcetylcholinesteraseBayes TheoremCholinergic AgentsCross-Sectional StudiesHumansMagnetic Resonance ImagingPositron-Emission TomographyAcetylcholinesteraseCholinergic Agentsacetylcholinesterasebasal forebraincholinergic deficitMRIParkinson’s diseasepositron emission tomography

Identifiers

PMID37403733
PMCPMC10689921
OpenAlexW4383186210

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.