Cerebrovascular disease (CVD) and amyloid burden are the most frequent pathologies in subjects with cognitive impairment. However, the relationship between CVD, amyloid burden, and cognition are largely unknown. We aimed to evaluate whether CVD (lacunes, white matter hyperintensities, and microbleeds) and amyloid burden (Pittsburgh compound B [PiB] retention ratio) contribute to cognitive impairment independently or interactively. We recruited 136 patients with subcortical vascular cognitive impairment who underwent magnetic resonance imaging, PiB-positron emission tomography, and neuropsychological testing. The number of lacunes was associated with memory, frontal dysfunctions, and disease severity. The volume of white matter hyperintensities and the PiB retention ratio were associated only with memory dysfunction. There was no direct correlation between CVD markers and PiB retention ratio except that the number of lacunes was negatively correlated with the PiB retention ratio. In addition, there were no interactive effects of CVD and PiB retention ratio on cognition. Our findings suggest that CVD and amyloid burden contribute independently and not interactively to specific patterns of cognitive dysfunction in patients with subcortical vascular cognitive impairment.
|Number of pages||7|
|Journal||Neurobiology of Aging|
|Publication status||Published - 2014 Jan|
Bibliographical noteFunding Information:
This study was supported by a grant from the Korean Healthcare Technology R&D Project , Ministry for Health, Welfare and Family Affairs, Republic of Korea (number A120798 , A102065 and A070001 ), Korean Science and Engineering Foundation (KOSEF) NRL program grant funded by the Korean government (MEST; 2011-0028333 ), Samsung Medical Center Clinical Research Development Program grant ( CRL-108011 and CRS 110-14-1 ), and Converging Research Center Program through the Ministry of Education, Science and Technology ( 2010K001054 ).
All Science Journal Classification (ASJC) codes
- Clinical Neurology
- Geriatrics and Gerontology
- Developmental Biology