Literature DB >> 25108818

Clinical features and neuropsychological profile in vascular parkinsonism.

Sonia Benítez-Rivero1, María J Lama1, Ismael Huertas-Fernández1, Paloma Alvarez de Toledo1, María T Cáceres-Redondo1, Juan F Martín-Rodríguez1, Fátima Carrillo1, Manuel Carballo1, Francisco J Palomar2, Pablo Mir3.   

Abstract

BACKGROUND: The clinical profile in vascular parkinsonism (VP) patients is well described in the literature, but little is known about the neuropsychological features of this disease. The aim of our study was to evaluate the clinical characteristics and the profile of cognitive impairment in patients with VP.
METHODS: We prospectively evaluated 12 patients with VP, 15 with Parkinson's disease (PD) and 13 healthy controls (HC) with similar age and sex distribution. Different clinical and demographic details were collected. All subjects underwent detailed neurological and neuropsychological examinations. The neuropsychological tests included analysis of global efficiency, executive function, verbal memory, language and visuospatial function.
RESULTS: VP patients exhibited lower disease duration, older age at onset and higher frequency of cardiovascular risk factors. Non-motor symptoms were found to be more frequent in PD. We found that VP patients developed cognitive impairment with a significantly higher frequency than HC of a similar age. Additionally, we found that these patients had a global pattern of cognitive impairment, including executive function, verbal memory and language. Only visuospatial function was more impaired in PD than in HC.
CONCLUSIONS: Our data contribute to clarify the pattern of neuropsychological impairment in VP. Therefore, in the clinical evaluation, besides assessing the motor status of the patient, given that these symptoms are frequently found not to be self-reported complaints, the neurologist should evaluate them routinely as a comprehensive assessment of this disease.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cerebrovascular disease; Cognitive disorders; Memory; Neuropsychology; Parkinson's disease; Vascular dementia

Mesh:

Year:  2014        PMID: 25108818     DOI: 10.1016/j.jns.2014.07.046

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  5 in total

1.  MRI volumetric morphometry in vascular parkinsonism.

Authors:  Vincent Dunet; Jeremy Deverdun; Celine Charroud; Emmanuelle Le Bars; Francois Molino; Sophie Menjot de Champfleur; Florence Maury; Mahmoud Charif; Xavier Ayrignac; Pierre Labauge; Giovanni Castelnovo; Frederic Pinna; Alain Bonafe; Christian Geny; Nicolas Menjot de Champfleur
Journal:  J Neurol       Date:  2017-07-01       Impact factor: 4.849

2.  Cognitive Impairment and Basal Ganglia Functional Connectivity in Vascular Parkinsonism.

Authors:  V Dunet; J Deverdun; C Charroud; E Le Bars; F Molino; S Menjot de Champfleur; F Maury; M Charif; X Ayrignac; P Labauge; G Castelnovo; F Pinna; A Bonafe; C Geny; N Menjot de Champfleur
Journal:  AJNR Am J Neuroradiol       Date:  2016-07-14       Impact factor: 3.825

3.  The Utility of the Combined Use of 123I-FP-CIT and 123I-MIBG Myocardial Scintigraphy in Differentiating Parkinson's Disease from Other Parkinsonian Syndromes.

Authors:  Eiji Matsusue; Yoshio Fujihara; Kenichiro Tanaka; Yuki Aozasa; Manabu Shimoda; Hiroyuki Nakayasu; Kazuhiko Nakamura; Toshihide Ogawa
Journal:  Yonago Acta Med       Date:  2018-06-18       Impact factor: 1.641

4.  The correlation between enlarged perivascular spaces and cognitive impairment in Parkinson's disease and vascular parkinsonism.

Authors:  Yu Tu; Wenyan Zhuo; Jiewei Peng; Rong Huang; Baizhu Li; Yuqi Liu; Chengtao Zhang; Xiuli Zeng; Li'an Huang
Journal:  BMC Neurol       Date:  2022-07-29       Impact factor: 2.903

5.  Trefoil Factor 3, Cholinesterase and Homocysteine: Potential Predictors for Parkinson's Disease Dementia and Vascular Parkinsonism Dementia in Advanced Stage.

Authors:  Jing Zou; Zhigang Chen; Caiqian Liang; Yongmei Fu; Xiaobo Wei; Jianjun Lu; Mengqiu Pan; Yue Guo; Xinxue Liao; Huifang Xie; Duobin Wu; Min Li; Lihui Liang; Penghua Wang; Qing Wang
Journal:  Aging Dis       Date:  2018-02-01       Impact factor: 6.745

  5 in total

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