Evidence map›Paper›PMID 25082821›Full record

ArticleAJNR. American journal of neuroradiology2014

Subcortical atrophy is associated with cognitive impairment in mild Parkinson disease: a combined investigation of volumetric changes, cortical thickness, and vertex-based shape analysis.

E Mak, N Bergsland, M G Dwyer, R Zivadinov, N Kandiah

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PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
4.5field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 85 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

E MakFrom the Department of Neurology (E.M., N.B., M.G.D., R.Z.), Buffalo Neuroimaging Analysis Center Department of Neurology (E.M., N.K.), National Neuroscience Institute, Singapore.
N BergslandFrom the Department of Neurology (E.M., N.B., M.G.D., R.Z.), Buffalo Neuroimaging Analysis Center Istituto de Ricovero e Cura a Carattere Scientifico "S. Maria Nascente," Don Gnocchi Foundation (N.B.), Milan, Italy.
M G DwyerFrom the Department of Neurology (E.M., N.B., M.G.D., R.Z.), Buffalo Neuroimaging Analysis Center.
R ZivadinovFrom the Department of Neurology (E.M., N.B., M.G.D., R.Z.), Buffalo Neuroimaging Analysis Center MR Imaging Clinical Translational Research Center (R.Z.), School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York rzivadinov@bnac.net nagaendran_kandiah@nni.com.sg.
N KandiahDepartment of Neurology (E.M., N.K.), National Neuroscience Institute, Singapore rzivadinov@bnac.net nagaendran_kandiah@nni.com.sg.
Buffalo Psychiatric Center · USNational Neuroscience Institute · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe involvement of subcortical deep gray matter and cortical thinning associated with mild Parkinson disease remains poorly understood. We assessed cortical thickness and subcortical volumes in patients with Parkinson disease without dementia and evaluated their associations with cognitive dysfunction. MATERIALS AND

methodsThe study included 90 patients with mild Parkinson disease without dementia. Neuropsychological assessments classified the sample into patients with mild cognitive impairment (n = 25) and patients without cognitive impairment (n = 65). Volumetric data for subcortical structures were obtained by using the FMRIB Integrated Registration and Segmentation Tool while whole-brain, gray and white matter volumes were estimated by using Structural Image Evaluation, with Normalization of Atrophy. Vertex-based shape analyses were performed to investigate shape differences in subcortical structures. Vertex-wise group differences in cortical thickness were also assessed. Volumetric comparisons between Parkinson disease with mild cognitive impairment and Parkinson disease with no cognitive impairment were performed by using ANCOVA. Associations of subcortical structures with both cognitive function and disease severity were assessed by using linear regression models.

resultsCompared with Parkinson disease with no cognitive impairment, Parkinson disease with mild cognitive impairment demonstrated reduced volumes of the thalamus (P = .03) and the nucleus accumbens (P = .04). Significant associations were found for the nucleus accumbens and putamen with performances on the attention/working memory domains (P < .05) and nucleus accumbens and language domains (P = .04). The 2 groups did not differ in measures of subcortical shape or in cortical thickness.

conclusionsPatients with Parkinson disease with mild cognitive impairment demonstrated reduced subcortical volumes, which were associated with cognitive deficits. The thalamus, nucleus accumbens, and putamen may serve as potential biomarkers for Parkinson disease-mild cognitive impairment.

Indexed as

AgedAtrophyBrainCognitive DysfunctionFemaleGray MatterHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsParkinson Disease

Identifiers

PMID25082821
PMCPMC7965324
OpenAlexW2137691216

What OpenQuestion holds

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Registered trials

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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.