scholarly journals The characteristics of a comprehensive geriatric assessment in patients with mild cognitive impairment with a cerebral white matter lesion

2015 ◽  
Vol 52 (4) ◽  
pp. 399-410 ◽  
Author(s):  
Toshimasa Obara ◽  
Hiroshi Hasegawa ◽  
Yoshitaka Wachi ◽  
Masamichi Tanaka ◽  
Michiko Sato ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
Geriatric Assessment ◽  
Comprehensive Geriatric Assessment ◽  
White Matter Lesion ◽  
Cerebral White Matter ◽  
Cerebral White Matter Lesion

scholarly journals Replication Study of Chr17q25 With Cerebral White Matter Lesion Volume

Stroke ◽  
2011 ◽  
Vol 42 (11) ◽  
pp. 3297-3299 ◽  
Author(s):  
Benjamin F.J. Verhaaren ◽  
Renske de Boer ◽  
Meike W. Vernooij ◽  
Fernando Rivadeneira ◽  
André G. Uitterlinden ◽  
...  
Keyword(s):  
White Matter ◽  
White Matter Lesion ◽  
Replication Study ◽  
Cerebral White Matter ◽  
Lesion Volume ◽  
Cerebral White Matter Lesion

scholarly journals Do cerebral white matter lesions influence the rate of progression from mild cognitive impairment to dementia?

2012 ◽  
Vol 25 (1) ◽  
pp. 120-127 ◽  
Author(s):  
Michael E. Devine ◽  
J. Andres Saez Fonseca ◽  
Zuzana Walker
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
White Matter Lesions ◽  
Cerebral White Matter ◽  
Brain Scans ◽  
Mri Brain ◽  
Cerebral White Matter Lesions ◽  
Ct And Mri

ABSTRACTBackground: Cerebral white matter lesions (WML), evident on CT and MRI brain scans, are histopathologically heterogeneous but associated with vascular risk factors and thought mainly to indicate ischemic damage. There has been disagreement over their clinical prognostic value in predicting conversion from mild cognitive impairment (MCI) to dementia.Methods: We scrutinised and rated CT and MRI brain scans for degree of WML in a memory clinic cohort of 129 patients with at least 1 year of follow-up. We examined the relationship between WML severity and time until conversion to dementia for all MCI patients and for amnestic (aMCI) and non-amnestic (naMCI) subgroups separately.Results: Five-year outcome data were available for 87 (67%) of the 129 patients. The proportion of patients converting to dementia was 25% at 1 year and 76% at 5 years. Patients with aMCI converted to dementia significantly earlier than those with naMCI. WML severity was not associated with time to conversion to dementia for either MCI patients in general or aMCI patients in particular. Among naMCI patients, there was a tendency for those with a low degree of WML to survive without dementia for longer than those with a high degree of WML. However, this was not statistically significant.Conclusions: MCI subtype is a significant independent predictor of conversion to dementia, with aMCI patients having higher risk than naMCI for conversion throughout the 5-year follow-up period. WML severity does not influence conversion to dementia for aMCI but might accelerate progression in naMCI.

scholarly journals Heterogeneity in mild cognitive impairment: Differences in neuropsychological profile and associated white matter lesion pathology

2009 ◽  
Vol 15 (6) ◽  
pp. 906-914 ◽  
Author(s):  
LISA DELANO-WOOD ◽  
MARK W. BONDI ◽  
JOSHUA SACCO ◽  
NORM ABELES ◽  
AMY J. JAK ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
Processing Speed ◽  
White Matter Lesion ◽  
Clinical Sample ◽  
Neuropsychological Profile ◽  
Executive Processing ◽  
Fluid Attenuated Inversion Recovery ◽  
Periventricular Lesion

AbstractThis study examined whether distinct neuropsychological profiles could be delineated in a sample with Mild Cognitive Impairment (MCI) and whether white matter lesion (WML) burden contributed to MCI group differences. A heterogeneous, clinical sample of 70 older adults diagnosed with MCI was assessed using cognitive scores, and WML was quantified using a semi-automated, volumetric approach on T2-weighted fluid-attenuated inversion recovery (FLAIR) images. Using cluster and discriminant analyses, three distinct groups (Memory/Language, Executive/Processing Speed, and Pure Memory) were empirically derived based on cognitive scores. Results also showed a dose dependent relationship of WML burden to MCI subgroup, with the Executive/Processing Speed subgroup demonstrating significantly higher levels of WML pathology when compared to the other subgroups. In addition, there was a dissociation of lesion type by the two most impaired subgroups (Memory/Language and Executive/Processing Speed) such that the Memory/Language subgroup showed higher periventricular lesion (PVL) and lower deep white matter lesion (DWML) volumes, whereas the Executive/Processing Speed demonstrated higher DWML and lower PVL volumes. Results demonstrate that distinct MCI subgroups can be empirically derived and reliably differentiated from a heterogeneous MCI sample, and that these profiles differ according to WML burden. Overall, findings suggest different underlying pathologies within MCI and contribute to our understanding of MCI subtypes. (JINS, 2009, 15, 906–914.)

scholarly journals Tract-Based Spatial Statistics: Application to Mild Cognitive Impairment

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yau-Yau Wai ◽  
Wen-Chuin Hsu ◽  
Hon-Chung Fung ◽  
Jiann-Der Lee ◽  
Hsiao-Lung Chan ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
Apolipoprotein E ◽  
Spatial Statistics ◽  
Diffusion Tensor ◽  
Cerebral White Matter ◽  
Brain White Matter ◽  
Amnestic Mci ◽  
Tract Based Spatial Statistics

Rationale and Objectives. The primary objective of the current investigation was to characterize white matter integrity in different subtypes of mild cognitive impairment (MCI) using tract-based spatial statistics of diffusion tensor imaging.Materials and Methods. The study participants were divided into 4 groups of 30 subjects each as follows: cognitively healthy controls, amnestic MCI, dysexecutive MCI, and Alzheimer’s disease (AD). All subjects underwent a comprehensive neuropsychological assessment, apolipoprotein E genotyping, and 3-tesla MRI. The diffusion tensor was reconstructed and then analyzed using tract-based spatial statistics. The changes in brain white matter tracts were also examined according to the apolipoprotein Eε4 status.Results. Compared with controls, amnestic MCI patients showed significant differences in the cerebral white matter, where changes were consistently detectable in the frontal and parietal lobes. We found a moderate impact of the apolipoprotein Eε4 status on the extent of white matter disruption in the amnestic MCI group. Patients with AD exhibited similar but more extensive alterations, while no significant changes were observed in dysexecutive MCI patients.Conclusion. The results from this study indicate that amnestic MCI is the most likely precursor to AD as both conditions share significant white matter damage. By contrast, dysexecutive MCI seems to be characterized by a distinct pathogenesis.

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