scholarly journals The Longitudinal Assessment of Neuropsychiatric Symptoms in Mild Cognitive Impairment and Alzheimer’s Disease and Their Association With White Matter Hyperintensities in the National Alzheimer’s Coordinating Center’s Uniform Data Set

2020 ◽  
Author(s):  
Cassandra J. Anor ◽  
Mahsa Dadar ◽  
D. Louis Collins ◽  
M. Carmela Tartaglia
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Neuropsychiatric Symptoms ◽  
Longitudinal Assessment ◽  
Data Set

scholarly journals White matter hyperintensities and neuropsychiatric symptoms in Alzheimer’s disease and mild cognitive impairment

2019 ◽  
Author(s):  
Karen Misquitta ◽  
Mahsa Dadar ◽  
D. Louis Collins ◽  
Maria Carmela Tartaglia ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
Cerebrovascular Disease ◽  
Grey Matter ◽  
White Matter Hyperintensities ◽  
Neuropsychiatric Symptoms ◽  
Grey Matter Atrophy

AbstractBackground and Purpose: Neuropsychiatric symptoms (NPS) are frequently encountered in patients with Alzheimer’s disease (AD). Focal grey matter atrophy has been linked to NPS development. Cerebrovascular disease can cause focal lesions and is common among AD patients. As cerebrovascular disease can be detected on MRI as white matter hyperintensities (WMH), this study evaluated WMH burden in mild cognitive impairment (MCI), AD and normal controls and determined their relationship with NPS. Methods: NPS were assessed using the Neuropsychiatric Inventory and grouped into subsyndromes. WMH were measured using an automatic segmentation technique and mean deformation-based morphometry was used to measure atrophy of grey matter regions. Results: WMHs and grey matter atrophy both contributed significantly to NPS subsyndromes in MCI and AD subjects, however, WMH burden played a greater role. Conclusions: This study could provide a better understanding of the pathophysiology of NPS in AD.

scholarly journals Evidence of a Relation Between Hippocampal Volume, White Matter Hyperintensities, and Cognition in Subjective Cognitive Decline and Mild Cognitive Impairment

2019 ◽  
Vol 75 (7) ◽  
pp. 1382-1392 ◽  
Author(s):  
Marie Caillaud ◽  
Carol Hudon ◽  
Benjamin Boller ◽  
Simona Brambati ◽  
Simon Duchesne ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
Episodic Memory ◽  
Cognitive Decline ◽  
White Matter Hyperintensities ◽  
Hippocampal Volume ◽  
Subjective Cognitive Decline

Abstract Objective The concepts of mild cognitive impairment (MCI) and subjective cognitive decline (SCD) have been proposed to identify individuals in the early stages of Alzheimer’s disease (AD), or other neurodegenerative diseases. One approach to validate these concepts is to investigate the relationship between pathological brain markers and cognition in those individuals. Method We included 126 participants from the Consortium for the Early Identification of Alzheimer’s disease-Quebec (CIMA-Q) cohort (67 SCD, 29 MCI, and 30 cognitively healthy controls [CH]). All participants underwent a complete cognitive assessment and structural magnetic resonance imaging. Group comparisons were done using cognitive data, and then correlated with hippocampal volumes and white matter hyperintensities (WMHs). Results Significant differences were found between participants with MCI and CH on episodic and executive tasks, but no differences were found when comparing SCD and CH. Scores on episodic memory tests correlated with hippocampal volumes in both MCI and SCD, whereas performance on executive tests correlated with WMH in all of our groups. Discussion As expected, the SCD group was shown to be cognitively healthy on tasks where MCI participants showed impairment. However, SCD’s hippocampal volume related to episodic memory performances, and WMH to executive functions. Thus, SCD represents a valid research concept and should be used, alongside MCI, to better understand the preclinical/prodromal phase of AD.

White Matter Hyperintensities and Cognition in Mild Cognitive Impairment and Alzheimer’s Disease: A Domain-Specific Meta-Analysis

2018 ◽  
Vol 63 (2) ◽  
pp. 515-527 ◽  
Author(s):  
Esther van den Berg ◽  
Mirjam I. Geerlings ◽  
Geert Jan Biessels ◽  
Paul J. Nederkoorn ◽  
Raoul P. Kloppenborg
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Meta Analysis ◽  
Domain Specific

scholarly journals Cognitive performance in patients with Mild Cognitive Impairment and Alzheimer's disease with white matter hyperintensities: An exploratory analysis

2017 ◽  
Vol 11 (4) ◽  
pp. 426-433 ◽  
Author(s):  
Maila Rossato Holz ◽  
Renata Kochhann ◽  
Patrícia Ferreira ◽  
Marina Tarrasconi ◽  
Márcia Lorena Fagundes Chaves ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
Cognitive Performance ◽  
Visual Memory ◽  
White Matter Hyperintensities ◽  
Clinical Aspects ◽  
Cultural Variables

ABSTRACT. Background: White matter hyperintensities (WMH) are commonly associated with vascular dementia and poor executive functioning. Notwithstanding, recent findings have associated WMH with Alzheimer's disease as well as other cognitive functions, but there is no consensus. Objective: This study aimed to verify the relationship between WMH and cognitive performance in Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) patients. The study also sought to identify cognitive and demographic/cultural factors that might explain variability of WMH. Methods: The sample was composed of 40 participants (18 MCI and 22 AD patients) aged ≥ 65 years. Spearman's correlation was performed among cognitive performance (memory, language, visuospatial ability, and executive function) and WMH evaluated by the Fazekas and ARWMC scales. Two stepwise linear regressions were carried out, one with cognitive and the other with demographic/cultural variables as predictors. Results: Only naming showed significant correlation with ARWMC. Fazekas score exhibited significant correlation with all cognitive domains evaluated. Fazekas score was better predicted by episodic visual memory and age. Conclusion: This study found that the most relevant cognitive profile in MCI and AD patients with WMH was related to episodic memory. And, without taking clinical aspects into consideration, age was the best predictor of WMH.

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