Regional Cerebral Cortical Atrophy is Related to Urinary Tract Symptoms in Parkinson's Disease.
J Neuroimaging
; 31(2): 363-371, 2021 03.
Article
em En
| MEDLINE
| ID: mdl-33534966
ABSTRACT
BACKGROUND AND PURPOSE:
Lower urinary tract symptoms (LUTS) are the most common nonmotor symptoms usually occurring mid-stage of Parkinson's disease (PD); however, its underlying mechanisms are unknown. We aimed to assess whether corticometry or volumetry can identify a pattern of cerebral cortical changes in PD patients with LUTS.METHODS:
We recruited 85 idiopathic PD patients and performed corticometry and volumetry on various cortical regions using each patient's magnetic resonance imaging. To identify a correlation between the cortical thickness/volume and nonmotor symptoms scale domain 7 scores, which represent the severity of LUTS, we performed general linear model and region of interest analyses.RESULTS:
Significant regional thinning of the left precuneus, left temporal pole, left precentral, right precuneus, and right pars opercularis was correlated with nonmotor symptoms scale domain 7 scores. We also found that cortical volumes of left precuneus and left frontal pole were inversely correlated with the severity of urinary symptoms.CONCLUSIONS:
This study showed that the thicknesses and volumes of several cortical regions were significantly correlated with the severity of LUTS in PD patients. The findings of regional atrophy and thinning of specific cortical regions in this study provide additional evidence that multiple cortical regions, especially the precuneus cortex, not only may be involved in urinary dysfunctions of PD patients but also may help to elucidate the exact underlying mechanisms for LUTS in PD patients.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doença de Parkinson
/
Sistema Urinário
/
Córtex Cerebral
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Aged
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
J Neuroimaging
Assunto da revista:
DIAGNOSTICO POR IMAGEM
/
NEUROLOGIA
Ano de publicação:
2021
Tipo de documento:
Article