Cortical thickness and cognitive performance in asymptomatic unilateral carotid artery stenosis.
BMC Cardiovasc Disord
; 19(1): 154, 2019 06 25.
Article
en En
| MEDLINE
| ID: mdl-31238977
BACKGROUND: We investigated changes of cortical thickness and its association with cognitive performance in patients with high-grade carotid artery stenosis without ischemic brain lesions. METHODS: We studied 25 patients with unilateral carotid artery stenosis ≥50% and 25 age-matched controls. All subjects underwent T1-weighted MRI, and cortical thickness was measured in 33 regions of interest in each hemisphere, as well as in brain regions belonging to the vascular territory of the middle cerebral artery (MCA). General linear mixed models were fitted to the dependent variable cortical thickness. Cognitive assessment comprised the Stroop Test and Trail Making Test B. RESULTS: In the linear mixed model, presence of carotid stenosis had no effect on cortical thickness. There was a significant interaction of stenosis and region with a trend towards lower cortical thickness in the MCA region on the side of carotid stenosis. Patients with carotid stenosis performed significantly worse on the Stroop test than controls, but there was no correlation with cortical thickness. CONCLUSION: In patients with carotid stenosis without ischemic brain lesions, neither a clear pattern of reduced cortical thickness nor an association of cortical thickness with cognitive function was observed. Our data do not support the hypothesized association of cortical thinning and cognitive impairment in carotid stenosis.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Prueba de Secuencia Alfanumérica
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Imagen por Resonancia Magnética
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Corteza Cerebral
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Estenosis Carotídea
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Cognición
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Test de Stroop
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Disfunción Cognitiva
Tipo de estudio:
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
BMC Cardiovasc Disord
Asunto de la revista:
ANGIOLOGIA
/
CARDIOLOGIA
Año:
2019
Tipo del documento:
Article
País de afiliación:
Alemania