scholarly journals White Matter Hyperintensities Potentiate Hippocampal Volume Reduction in Non-Demented Older Individuals with Abnormal Amyloid-β

2016 ◽  
Vol 55 (1) ◽  
pp. 333-342 ◽  
Author(s):  
Whitney M. Freeze ◽  
Heidi I. L. Jacobs ◽  
Ed H. Gronenschild ◽  
Jacobus F. A. Jansen ◽  
Saartje Burgmans ◽  
...  
2021 ◽  
pp. 1-11
Author(s):  
Fennie Choy Chin Wong ◽  
Seyed Ehsan Saffari ◽  
Chathuri Yatawara ◽  
Kok Pin Ng ◽  
Nagaendran Kandiah ◽  
...  

Background: The associations between small vessel disease (SVD) and cerebrospinal amyloid-β1-42 (Aβ1-42) pathology have not been well-elucidated. Objective: Baseline (BL) white matter hyperintensities (WMH) were examined for associations with month-24 (M24) and longitudinal Aβ1-42 change in cognitively normal (CN) subjects. The interaction of WMH and Aβ1-42 on memory and executive function were also examined. Methods: This study included 72 subjects from the Alzheimer’s Disease Neuroimaging Initiative. Multivariable linear regression models evaluated associations between baseline WMH/intracranial volume ratio, M24 and change in Aβ1-42 over two years. Linear mixed effects models evaluated interactions between BL WMH/ICV and Aβ1-42 on memory and executive function. Results: Mean age of the subjects (Nmales = 36) = 73.80 years, SD = 6.73; mean education years = 17.1, SD = 2.4. BL WMH was significantly associated with M24 Aβ1-42 (p = 0.008) and two-year change in Aβ1-42 (p = 0.006). Interaction between higher WMH and lower Aβ1-42 at baseline was significantly associated with worse memory at baseline and M24 (p = 0.003). Conclusion: BL WMH was associated with M24 and longitudinal Aβ1-42 change in CN. The interaction between higher WMH and lower Aβ1-42 was associated with poorer memory. Since SVD is associated with longitudinal Aβ1-42 pathology, and the interaction of both factors is linked to poorer cognitive outcomes, the mitigation of SVD may be correlated with reduced amyloid pathology and milder cognitive deterioration in Alzheimer’s disease.


2013 ◽  
Vol 21 (2) ◽  
pp. 197-213 ◽  
Author(s):  
Kathryn V. Papp ◽  
Richard F. Kaplan ◽  
Beth Springate ◽  
Nicola Moscufo ◽  
Dorothy B. Wakefield ◽  
...  

2011 ◽  
Vol 26 (S2) ◽  
pp. 490-490
Author(s):  
Y.K. Chen ◽  
E. Lee ◽  
J.Y. Lu ◽  
W.C.W. Chu ◽  
V.C.T. Mok ◽  
...  

IntroductionLongitudinal studies of predicting dementia conversion of poststroke cognitive impairment no dementia (CIND) are limited.ObjectiveTo investigate the clinical and imaging predictors of dementia conversion in poststroke patients with CIND.AimTo understand dementia conversion of CIND.Methods143 patients with CIND (defined as impairment in at least one cognitive domain without meeting the criteria of dementia) at three months after stroke were recruited and followed up for one year. Dementia was diagnosed using the criteria of Diagnostic and Statistical Manual of Mental Disorders (4th edition, DSM-IV). MRI measurements including infarction, microbleeds, white matter hyperintensities (WMHs) and hippocampal volume were conducted. Logistic regression was performed to find the predictors of dementia at follow-up.Results16 (11.2%) out of the 143 patients developed dementia 15 months after stroke. In univariate comparisons, subjects with dementia at follow-up had older age (78.0 ± 5.3 vs.71.5 ± 8.5 years, p = 0.003) and higher NIHSS score (7.1 ± 3.5 vs.4.7 ± 3.3, p = 0.005) on admission. They also had higher frequency of old infarcts in the thalamus (31.3% vs. 11.0%, p = 0.025), larger volume of old infarcts (4.2 ± 11.2 vs. 0.7 ± 2.6 cm3, p < 0.001) and WMHs volume (33.2 ± 34.0 vs. 14.2 ± 14.1 cm3, p = 0.016). In logistic regression, age (odds ratio [OR] =1.203, 95%C.I.=1.054-1.373, p = 0.006), NIHSS score on admission (OR = 1.324, 95%C.I.=1.082-1.619, p = 0.006) and WMHs volume (OR = 1.045, 95%C.I.=1.007-1.084, p = 0.019) were significant predictors of dementia at follow-up.ConclusionsWMHs volume predicts dementia in poststroke patients with CIND, suggesting subcortical ischemic vascular disease was an important origin of poststroke delayed dementia.


2016 ◽  
Vol 367 ◽  
pp. 284-290 ◽  
Author(s):  
Yaroslau Compta ◽  
Mariateresa Buongiorno ◽  
Núria Bargalló ◽  
Francesc Valldeoriola ◽  
Esteban Muñoz ◽  
...  

2013 ◽  
Vol 51 (11) ◽  
pp. 2202-2209 ◽  
Author(s):  
Robert D. Nebes ◽  
Beth E. Snitz ◽  
Ann D. Cohen ◽  
Howard J. Aizenstein ◽  
Judith A. Saxton ◽  
...  

2012 ◽  
Vol 33 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Thomas Gattringer ◽  
Christian Enzinger ◽  
Stefan Ropele ◽  
Faton Gorani ◽  
Katja Elisabeth Petrovic ◽  
...  

2020 ◽  
Author(s):  
Mahsa Dadar ◽  
Richard Camicioli ◽  
Simon Duchesne ◽  
D. Louis Collins ◽  

ABSTRACTINTRODUCTIONCognitive decline in Alzheimer’s disease is associated with amyloid-β accumulation, neurodegeneration and cerebral small vessel disease, but the temporal relationships between these factors is not well established.METHODSData included white matter hyperintensity (WMH) load, grey matter (GM) atrophy and Alzheimer’s Disease Assessment Scale-Cognitive-Plus (ADAS13) scores for 720 participants and cerebrospinal fluid amyloid (Aβ1-42) for 461 participants from the Alzheimer’s Disease Neuroimaging Initiative. Linear regressions were used to assess the relationships between baseline WMH, GM, and Aβ1-42 to changes in WMH, GM, Aβ1-42, and cognition at one-year follow-up.RESULTSBaseline WMHs and Aβ1-42 predicted WMH increase and GM atrophy. Baseline WMHs, GM, and Aβ1-42 predicted worsening cognition. Only baseline Aβ1-42 predicted change in Aβ1-42.DISCUSSIONBaseline WMHs lead to greater future GM atrophy and cognitive decline, suggesting that WM damage precedes neurodegeneration and cognitive decline. Baseline Aβ1-42 predicted WMH increase, suggesting a potential role of amyloid in WM damage.Research in ContextSystematic Review: Both amyloid β and neurodegeneration are primary pathologies in Alzheimer’s disease. White matter hyperintensities (indicative of presence of cerebrovascular disease) might also be part of the pathological changes in Alzheimer’s. However, the temporal relationship between white matter hyperintensities, amyloid β, neurodegeneration, and cognitive decline is still unclear.Interpretation: Our results establish a potential temporal order between white matter hyperintensities, amyloid β, neurodegeneration, and cognitive decline, showing that white matter hyperintensities precede neurodegeneration and cognitive decline. The results provide some evidence that amyloid β deposition, in turn, precedes accumulation of white matter hyperintensities.Future Directions: The current findings reinforce the need for future longitudinal investigations of the mechanisms through which white matter hyperintensities impact the aging population in general and Alzheimer’s disease patients, in particular.


2011 ◽  
Vol 7 ◽  
pp. S301-S301
Author(s):  
Adam Brickman ◽  
Frank Provenzano ◽  
Catherine Richards ◽  
Ben Wasserman ◽  
Jennifer Manly ◽  
...  

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