Evidence map›Paper›PMID 42592553›Full record

ArticleFrontiers in neurology

Diffusion microstructure alterations in subcortical gray matter are associated with cognitive and motor performance in Parkinson's disease: a pilot study.

Benjamin T Newman, Ryan Foreman, Erin Donahue, Michael W Jakowec, Andrew J Petkus, Daniel P Holschneider, Joseph O'Neill, Dawn M Schiehser, Giselle Petzinger, John Darrell Van Horn

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In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Benjamin T NewmanDepartment of Psychology, University of Virginia, Charlottesville, VA, United States.
Ryan ForemanDepartment of Neurology, University of Southern California, Los Angeles, CA, United States.
Erin DonahueDepartment of Neurology, University of Southern California, Los Angeles, CA, United States.
Michael W JakowecDepartment of Neurology, University of Southern California, Los Angeles, CA, United States.
Andrew J PetkusDepartment of Neurology, University of Southern California, Los Angeles, CA, United States.
Daniel P HolschneiderDepartment of Neurology, University of Southern California, Los Angeles, CA, United States.
Joseph O'NeillDivision of Child & Adolescent Psychiatry, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States.
Dawn M SchiehserVeterans Administration San Diego Healthcare System (VASDHS), San Diego, San Diego, CA, United States.
Giselle PetzingerDepartment of Neurology, University of Southern California, Los Angeles, CA, United States.
John Darrell Van HornDepartment of Psychology, University of Virginia, Charlottesville, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cholinergic basal forebrain and subcortical gray matter have previously been implicated in Parkinson's disease (PD), but the relationship between the symptomology of PD, including cognitive impairment, and specific patterns of damage remains unclear. Additionally, understanding the impact of fitness, including motor skills, on brain structure remains a knowledge gap. In this study, we examine a longitudinal cohort of PD patients using advanced microstructural analysis derived from diffusion MRI, alongside volumetric and connectivity components. These imaging metrics are compared to comprehensive cognitive and motor skill fitness metrics. Although the volumetric components well characterize change across the longitudinal timescale, the microstructural analysis was related to a number of composite cognitive scores, including attention, executive function, cognition, language, and the level of motor skill fitness. We further assess the connectivity of the cholinergic basal forebrain, particularly the nucleus basalis of Meynert in area 4 (CH4), and find that connectivity between CH4 and the thalamus is associated with motor skill fitness. The pattern of microstructural results suggests that increased cellularity may support reduced cognitive decline in individuals with PD and greater motor skill fitness.

Indexed as

cognitiondiffusion MRIexercisemicrostructureParkinson’s diseasestructural connectivity

Identifiers

PMID42592553
PMCPMC13464544

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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.