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1.
Eur J Neurol ; 23(1): 110-9, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26264353

ABSTRACT

BACKGROUND AND PURPOSE: Smoking is a major risk factor for cognitive decline and dementia. However, the exact pathobiology of smoking remains unknown. The effects of smoking on cortical thickness as a biomarker of neurodegeneration or white matter hyperintensities and lacunes as biomarkers of cerebrovascular burden were concurrently evaluated. METHODS: Our study included 977 cognitively normal men who visited a health promotion centre and underwent medical check-ups, including 3.0 T magnetic resonance imaging. Participants were categorized into never smoker, past smoker or current smoker groups and pack-years and the years of smoking cessation were used as continuous variables. RESULTS: The current smoker group exhibited cortical thinning in frontal and temporo-parietal regions compared with the never smoker group. These effects were particularly prominent in smokers with a high cumulative exposure to smoking in the current smoker group. However, there was no association between smoking and the severity of white matter hyperintensity or number of lacunes. CONCLUSION: Our findings indicate that smoking might impact on neurodegeneration rather than cerebrovascular burdens in cognitively normal men, suggesting that smoking might be an important modifiable risk factor for the development of Alzheimer's disease.


Subject(s)
Cerebral Cortex/pathology , Cerebrovascular Disorders/chemically induced , Neurodegenerative Diseases/chemically induced , Smoking/adverse effects , White Matter/pathology , Aged , Biomarkers , Humans , Magnetic Resonance Imaging , Male , Middle Aged
2.
Eur J Neurol ; 22(4): 709-16, 2015 Apr.
Article in English | MEDLINE | ID: mdl-25603760

ABSTRACT

BACKGROUND AND PURPOSE: Recent studies have demonstrated that Alzheimer's disease (AD) and subcortical vascular dementia (SVaD) have white matter (WM) microstructural changes. However, previous studies on AD and SVaD rarely eliminated the confounding effects of patients with mixed Alzheimer's and cerebrovascular disease pathologies. Therefore, our aim was to evaluate the divergent topography of WM microstructural changes in patients with pure AD and SVaD. METHODS: Patients who were clinically diagnosed with AD and SVaD were prospectively recruited. Forty AD patients who were Pittsburgh compound B (PiB) positive [PiB(+) AD] without WM hyperintensities and 32 SVaD patients who were PiB negative [PiB(-) SVaD] were chosen. Fifty-six cognitively normal individuals were also recruited (NC). Tract-based spatial statistics of diffuse tensor imaging were used to compare patterns of fractional anisotropy (FA) and mean diffusivity (MD). RESULTS: Compared with the NC group, the PiB(+) AD group showed decreased FA in the bilateral frontal, temporal and parietal WM regions and the genu and splenium of the corpus callosum as well as increased MD in the left frontal and temporal WM region. PiB(-) SVaD patients showed decreased FA and increased MD in all WM regions. Direct comparison between PiB(+) AD and PiB(-) SVaD groups showed that the PiB(-) SVaD group had decreased FA across all WM regions and increased MD in all WM regions except occipital regions. CONCLUSION: Our findings suggest that pure AD and pure SVaD have divergent topography of WM microstructural changes including normal appearing WM.


Subject(s)
Alzheimer Disease/pathology , Dementia, Vascular/pathology , Diffusion Tensor Imaging/methods , White Matter/pathology , Aged , Aged, 80 and over , Aniline Compounds , Female , Humans , Male , Middle Aged , Thiazoles
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