医学
冲程(发动机)
急性中风
机制(生物学)
神经科学
创伤性脑损伤
中风恢复
桥
心脏病学
物理医学与康复
麻醉
内科学
物理疗法
精神科
康复
组织纤溶酶原激活剂
哲学
工程类
认识论
生物
机械工程
作者
Alex Förster,Martin Griebe,Caroline Ottomeyer,Christina Roßmanith,Achim Gass,Rolf Kern,Michael G. Hennerici,Kristina Szabo
出处
期刊:Cerebrovascular Diseases
[S. Karger AG]
日期:2011-01-01
卷期号:31 (5): 499-505
被引量:15
摘要
Recovery from stroke is presumed to be a function of a widespread cerebral network. Chronic white matter lesions (WML) have been proposed to be a predictor of poor outcome after acute stroke. We tested the hypothesis that the extent of WML has an effect on functional recovery in acute pontine stroke by disrupting the integrity of the supratentorial cerebral network.Seventeen patients with acute unilateral pontine stroke who had received a standardized stroke workup and additional diffusion tensor imaging (DTI) were studied. After grading the extent of WML according to the Fazekas scale and semiautomated lesion volume calculation, we compared patients with acute pontine infarction and advanced WML to those with absent or minimal WML regarding baseline characteristics, stroke subtype and clinical outcome. In addition, we used tract-based spatial statistics for voxel-wise analysis of the DTI-derived parameter fractional anisotropy in the white matter tracts.The volume of WML ranged between 0.1 and 42.1 cm³ (mean = 15.9) and was graded as follows: 0 in 5.9%, 1 in 35.3%, 2 in 41.2% and 3 in 17.6%. Both patients with Fazekas grades 2-3 (p = 0.014) as well as those with larger WML volumes (p = 0.037) had severer functional deficits at the 3-month follow-up. White matter tracts displaying a significant decrease in fractional anisotropy values were the corpus callosum, the anterior thalamic radiation and the inferior fronto-occipital fasciculus.Chronic WML contribute to a less favorable clinical outcome after pontine stroke depending on (1) the extent of pre-existing WML and (2) the degree of disruption of cerebral connectivity as indicated by reduced tissue integrity in the white matter not affected by WML as detected by DTI and tract-based spatial statistics.
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