scholarly journals Correction for: Prediction of cognitive performance in old age from spatial probability maps of white matter lesions

Aging ◽  
2021 ◽  
Author(s):  
Cui Zhao ◽  
Ying Liang ◽  
Ting Chen ◽  
Yihua Zhong ◽  
Xianglong Li ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Performance ◽  
Old Age ◽  
White Matter Lesions ◽  
Spatial Probability ◽  
Probability Maps

scholarly journals Prediction of cognitive performance in old age from spatial probability maps of white matter lesions

Aging ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 4822-4835
Author(s):  
Cui Zhao ◽  
Ying Liang ◽  
Ting Chen ◽  
Yihua Zhong ◽  
Xianglong Li ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Performance ◽  
Old Age ◽  
White Matter Lesions ◽  
Spatial Probability ◽  
Probability Maps

scholarly journals Associations between White Matter Microstructure and Cognitive Performance in Old and Very Old Age

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e81419 ◽  
Author(s):  
Erika J. Laukka ◽  
Martin Lövdén ◽  
Grégoria Kalpouzos ◽  
Tie-Qiang Li ◽  
Tomas Jonsson ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Performance ◽  
Old Age ◽  
Very Old ◽  
White Matter Microstructure ◽  
Very Old Age

P4-023: Cerebral blood flow, white matter lesions and cognitive performance. The Somatotrophics, Memory and Aging Research Trial (SMART)-MR Study

2008 ◽  
Vol 4 ◽  
pp. T674-T674
Author(s):  
Mirjam I. Geerlings ◽  
Auke P.A. Appelman ◽  
Koen L. Vincken ◽  
Willem P. Th M. Mali ◽  
Yolanda van der Graaf
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
White Matter ◽  
Cognitive Performance ◽  
White Matter Lesions ◽  
Aging Research ◽  
Mr Study

scholarly journals IC-P1-025: Cerebral blood flow, white matter lesions and cognitive performance: The SMART-MR study

2008 ◽  
Vol 4 ◽  
pp. T18-T19
Author(s):  
Mirjam I. Geerlings ◽  
Auke P.A. Appelman ◽  
Koen L. Vincken ◽  
Willem P. Th M. Mali ◽  
Yolanda van der Graaf
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
White Matter ◽  
Cognitive Performance ◽  
White Matter Lesions ◽  
Mr Study

scholarly journals White Matter Lesions and Cognitive Performance: The Role of Cognitively Complex Leisure Activity

2008 ◽  
Vol 63 (8) ◽  
pp. 848-854 ◽  
Author(s):  
J. S. Saczynski ◽  
M. K. Jonsdottir ◽  
S. Sigurdsson ◽  
G. Eiriksdottir ◽  
P. V. Jonsson ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Performance ◽  
White Matter Lesions ◽  
Leisure Activity

scholarly journals White-matter lesions drive deep gray-matter atrophy in early multiple sclerosis: support from structural MRI

2013 ◽  
Vol 19 (11) ◽  
pp. 1485-1492 ◽  
Author(s):  
Mark Mühlau ◽  
Dorothea Buck ◽  
Annette Förschler ◽  
Christine C Boucard ◽  
Milan Arsic ◽  
...  
Keyword(s):  
White Matter ◽  
Gray Matter ◽  
Spatial Relationship ◽  
White Matter Lesions ◽  
Structural Mri ◽  
Cerebral White Matter ◽  
Cross Sectional ◽  
Axonal Pathology ◽  
Probability Maps ◽  
Deep Gray Matter

Background: In MS, the relationship between lesions within cerebral white matter (WM) and atrophy within deep gray matter (GM) is unclear. Objective: To investigate the spatial relationship between WM lesions and deep GM atrophy. Methods: We performed a cross-sectional structural magnetic resonance imaging (MRI) study (3 Tesla) in 249 patients with clinically-isolated syndrome or relapsing–remitting MS (Expanded Disability Status Scale score: median, 1.0; range, 0–4) and in 49 healthy controls. Preprocessing of T1-weighted and fluid-attenuated T2-weighted images resulted in normalized GM images and WM lesion probability maps. We performed two voxel-wise analyses: 1. We localized GM atrophy and confirmed that it is most pronounced within deep GM; 2. We searched for a spatial relationship between WM lesions and deep GM atrophy; to this end we analyzed WM lesion probability maps by voxel-wise multiple regression, including four variables derived from maxima of regional deep GM atrophy (caudate and pulvinar, each left and right). Results: Atrophy of each deep GM region was explained by ipsilateral WM lesion probability, in the area most densely connected to the respective deep GM region. Conclusion: We demonstrated that WM lesions and deep GM atrophy are spatially related. Our results are best compatible with the hypothesis that WM lesions contribute to deep GM atrophy through axonal pathology.

P3-121: Phenotypes of cognitive performance with white matter lesions: The age/gene environment susceptibility Reykjavik study

2006 ◽  
Vol 2 ◽  
pp. S409-S409
Author(s):  
Jane S. Saczynski ◽  
Maria Jonsdottir ◽  
Sigurdur Sigurdsson ◽  
Gudny Eiriksdottir ◽  
Palmi V. Jonsson ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Performance ◽  
White Matter Lesions ◽  
Gene Environment
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