医学
冲程(发动机)
高强度
磁共振成像
神经影像学
神经心理学
心脏病学
神经认知
萎缩
认知
内科学
放射科
物理医学与康复
精神科
机械工程
工程类
作者
Laurent Puy,Mélanie Barbay,Martine Roussel,Sandrine Canaple,Chantal Lamy,Audrey Arnoux,Claire Leclercq,Jean‐Louis Mas,Sophie Tasseel‐Ponche,Jean‐Marc Constans,Olivier Godefroy
出处
期刊:Stroke
[Ovid Technologies (Wolters Kluwer)]
日期:2018-11-01
卷期号:49 (11): 2666-2673
被引量:50
标识
DOI:10.1161/strokeaha.118.021981
摘要
Background and Purpose— We aimed to define the neuroimaging determinants of poststroke cognitive performance and their relative contributions among a spectrum of magnetic resonance imaging markers, including lesion burden and strategic locations. Methods— We prospectively included patients with stroke from the GRECogVASC study (Groupe de Réflexion pour l’Évaluation Cognitive Vasculaire) who underwent 3-T magnetic resonance imaging and a comprehensive standardized battery of neuropsychological tests 6 months after the index event. An optimized global cognitive score and neuroimaging markers, including stroke characteristics, cerebral atrophy markers, and small vessel diseases markers, were assessed. Location of strategic strokes was determined using a specifically designed method taking into account stroke size and cerebral atrophy. A stepwise multivariable linear regression model was used to identify magnetic resonance imaging determinants of cognitive performance. Results— Data were available for 356 patients (mean age: 63.67±10.6 years; 326 [91.6%] of the patients had experienced an ischemic stroke). Six months poststroke, 50.8% of patients presented with a neurocognitive disorder. Strategic strokes (right corticospinal tract, left antero-middle thalamus, left arcuate fasciculus, left middle frontal gyrus, and left postero-inferior cerebellum; R 2 =0.225; P =0.0001), medial temporal lobe atrophy ( R 2 =0.077; P =0.0001), total brain tissue volume ( R 2 =0.028; P =0.004), and stroke volume ( R 2 =0.013; P =0.005) were independent determinants of cognitive performance. Strategic strokes accounted for the largest proportion of the variance in the cognitive score (22.5%). The white matter hyperintensity burden, brain microbleeds, and dilated perivascular spaces were not independent determinants. Conclusions— Optimized global cognitive score and combined approach of both quantitative measures related to structure loss and qualitative measures related to the presence of strategic lesion are required to improve the determination of structure-function relationship of cognitive performance after stroke.
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