Rapid picture naming in Parkinson's disease using the Mobile Universal Lexicon Evaluation System (MULES).

Mobile Universal Lexicon Evaluation System (MULES) Parkinson's disease (PD) Picture naming Vision

Journal

Journal of the neurological sciences
ISSN: 1878-5883
Titre abrégé: J Neurol Sci
Pays: Netherlands
ID NLM: 0375403

Informations de publication

Date de publication:
15 Mar 2020
Historique:
received: 27 08 2019
revised: 30 12 2019
accepted: 08 01 2020
pubmed: 17 1 2020
medline: 15 5 2021
entrez: 17 1 2020
Statut: ppublish

Résumé

The Mobile Universal Lexicon Evaluation System (MULES) is a test of rapid picture naming that captures extensive brain networks, including cognitive, language and afferent/efferent visual pathways. MULES performance is slower in concussion and multiple sclerosis, conditions in which vision dysfunction is common. Visual aspects captured by the MULES may be impaired in Parkinson's disease (PD) including color discrimination, object recognition, visual processing speed, and convergence. The purpose of this study was to compare MULES time scores for a cohort of PD patients with those for a control group of participants of similar age. We also sought to examine learning effects for the MULES by comparing scores for two consecutive trials within the patient and control groups. MULES consists of 54 colored pictures (fruits, animals, random objects). The test was administered in a cohort of PD patients and in a group of similar aged controls. Wilcoxon rank-sum tests were used to determine statistical significance for differences in MULES time scores between PD patients and controls. Spearman rank-correlation coefficients were calculated to examine the relation between MULES time scores and PD motor symptom severity (UPDRS). Learning effects were assessed using Wilcoxon rank-sum tests. Among 51 patients with PD (median age 70 years, range 52-82) and 20 disease-free control participants (median age 67 years, range 51-90), MULES scores were significantly slower (worse performance) in PD patients (median 63.2 s, range 37.3-296.3) vs. controls (median 53.9 s, range 37.5-128.6, P = .03, Wilcoxon rank-sum test). Slower MULES times were associated with increased motor symptom severity as measured by the Unified Parkinson's Disease Rating Scale, Section III (r The MULES is a complex test of rapid picture naming that captures numerous brain pathways including an extensive visual network. MULES performance is slower in patients with PD and our study suggests an association with the degree of motor impairment. Future studies will determine the relation of MULES time scores to other modalities that test visual function and structure in PD.

Identifiants

pubmed: 31945624
pii: S0022-510X(20)30016-2
doi: 10.1016/j.jns.2020.116680
pii:
doi:

Types de publication

Clinical Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116680

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no financial interests.

Auteurs

Jenna Conway (J)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: jenna.conway@nyulangone.org.

Marissa Ilardi (M)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: marissa.ilardi@nyulangone.org.

Caroline Gonzalez (C)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: Caroline.E.Gonzalez.19@dartmouth.edu.

Natalie Dahan (N)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: natalie.dahan.288@my.csun.edu.

Samuel Fallon (S)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: sfallon@tulane.edu.

Nicholas Moehringer (N)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: njm84@cornell.edu.

Lisena Hasanaj (L)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: lisena.hasanj@nyulangone.org.

Binu Joseph (B)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: binu.joseph@nyulangone.org.

Liliana Serrano (L)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: liliana.serrano@nyulangone.org.

John-Ross Rizzo (JR)

Departments of Physical Medicine and Rehabilitation, New York University School of Medicine, New York, NY, USA. Electronic address: johnross.rizzo@nyulangone.org.

Janet C Rucker (JC)

Departments of Neurology, New York University School of Medicine, New York, NY, USA; Departments of Ophthalmology, New York University School of Medicine, New York, NY, USA. Electronic address: janet.rucker@nyulangone.org.

Andrew Feigin (A)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: andrew.feigin@nyulangone.org.

Steven Frucht (S)

Departments of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: steven.frucht@nyulangone.org.

Steven L Galetta (SL)

Departments of Neurology, New York University School of Medicine, New York, NY, USA; Departments of Ophthalmology, New York University School of Medicine, New York, NY, USA. Electronic address: steven.galetta@nyulangone.org.

Laura J Balcer (LJ)

Departments of Neurology, New York University School of Medicine, New York, NY, USA; Departments of Population Health, New York University School of Medicine, New York, NY, USA; Departments of Ophthalmology, New York University School of Medicine, New York, NY, USA. Electronic address: laura.balcer@nyulangone.org.

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Classifications MeSH