Patterns of cerebral white matter damage and cognitive impairment in adolescents born very preterm

2008 ◽  
Vol 26 (7) ◽  
pp. 647-654 ◽  
Author(s):  
Sara Soria‐Pastor ◽  
Monica Gimenez ◽  
Ana Narberhaus ◽  
Carles Falcon ◽  
Francesc Botet ◽  
...  
2013 ◽  
Vol 49 (2) ◽  
pp. 88-96 ◽  
Author(s):  
J. Wells Logan ◽  
Sjirk J. Westra ◽  
Elizabeth N. Allred ◽  
T. Michael O'Shea ◽  
Karl Kuban ◽  
...  

2005 ◽  
Vol 193 (3) ◽  
pp. 928-932 ◽  
Author(s):  
Anna Locatelli ◽  
Patrizia Vergani ◽  
Alessandro Ghidini ◽  
Francesca Assi ◽  
Claudia Bonardi ◽  
...  

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Yan Chen ◽  
Renyuan Liu ◽  
Shuwei Qiu ◽  
Yun Xu

Introduction: Cerebral White matter hyperintensities(WMH) are frequent findings on MRI scan. They are well known to correlate with vascular cognitive impairment(VCI). However, controversies still remain about the relationship between WMH locations and cognitive function across studies. Hypothesis: Periventricular WMHs(PWH) rather than deep WMHs(DWH) are associated with cognitive decline in VCI. Methods: Fifty-nine subjects with WMHs on MRI were divided into three groups, normal control(NC), mild cognitive impairment(MCI) and vascular dementia(VaD), according to clinical manifestation and neuropsychological performance. WMH volumes were evaluated by Fazekas rating scale and segmental volumetric. Correlations between cognitive performance and WMH volumes were determined in virtue of Spearman correlation analysis. Receiver operator characteristic (ROC) curves were generated to define the classification cut-off value of WMH volumes for distinguishing VCI versus normal controls. Multiple linear regression analysis was used to predict cognitive performance with WMH volumes and locations after adjusting for sex ,age and education level. Results: Cognitive capacities were gradually declined from NC through MCI to VaD patients while WMH volumes and Fazekas scores altered oppositely. Both PWH and DWH volumes and Fazekas scores were correlated with cognitive performance, and moreover, WMH volumes were correlated with Fazekas scores. ROC analysis showed a cut-off value of PWH rather than DWH to distinguish VCI from NC(AUC=0.745 and 0.635, p =0.001 and 0.076, respectively). Linear regression analysis demonstrated that only PWH volumes were associated with cognitive performance( p < 0.001). Conclusion: Our study demonstrate that PWHs are independent predictors for vascular contribution in white matter lesions and suggest clinicians that PWH should be emphasized on evaluating vascular cognitive impairment related with white matter load.


2006 ◽  
Vol 6 ◽  
pp. 494-501 ◽  
Author(s):  
Cristina Sierra ◽  
Antonio Coca

Although the pathogenesis and clinical significance of cerebral white matter lesions remain controversial, it is well established that age and hypertension are the most important factors related to the presence of these lesions. Hypertension is known to be the most important factor for developing stroke and vascular dementia. In addition, the presence of cerebral white matter lesions is an important prognostic factor for the development of stroke, and also for cognitive impairment and dementia. The mechanisms underlying hypertension-related cognitive changes are complex and are not yet fully understood. Correlations between cerebral white matter lesions and elevated blood pressure provide indirect evidence that structural and functional changes in the brain over time may lead to lowered cognitive functioning when blood pressure control is poor or lacking.Some authors have suggested that the presence of white matter lesions in hypertensive patients could be considered an early marker of brain damage.


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