IMPACT OF TDP-43 AND HIPPOCAMPAL SCLEROSIS ON LATE-LIFE COGNITIVE DECLINE

2019 ◽  
Vol 15 (7) ◽  
pp. P241-P242
Author(s):  
Alifiya Kapasi ◽  
Lei Yu ◽  
Patricia A. Boyle ◽  
David A. Bennett ◽  
Julie A. Schneider
Brain ◽  
2021 ◽  
Author(s):  
Patricia A Boyle ◽  
Tianhao Wang ◽  
Lei Yu ◽  
Robert S Wilson ◽  
Robert Dawe ◽  
...  

Abstract The aging brain is vulnerable to a wide array of neuropathologies. Prior work estimated that the three most studied of these, Alzheimer’s disease (AD), infarcts, and Lewy bodies, account for about 40% of the variation in late life cognitive decline. However, that estimate did not incorporate many other diseases that are now recognized as potent drivers of cognitive decline (e.g. limbic predominant age-related TDP-43 encephalopathy [LATE-NC], hippocampal sclerosis, other cerebrovascular conditions). We examined the degree to which person-specific cognitive decline in old age is driven by a wide array of neuropathologies. 1,164 deceased participants from two longitudinal clinical-pathologic studies, the Rush Memory and Aging Project and Religious Orders Study, completed up to 24 annual evaluations including 17 cognitive performance tests and underwent brain autopsy. Neuropathologic examinations provided 11 pathologic indices, including markers of AD, non-AD neurodegenerative diseases (i.e. LATE-NC, hippocampal sclerosis, Lewy bodies), and cerebrovascular conditions (i.e. macroscopic infarcts, microinfarcts, cerebral amyloid angiopathy, atherosclerosis, and arteriolosclerosis). Mixed effects models examined the linear relation of pathologic indices with global cognitive decline, and random change point models examined the relation of the pathologic indices with the onset of terminal decline and rates of preterminal and terminal decline. Cognition declined an average of about 0.10 unit per year (estimate = -0.101, SE = 0.003, p < 0.001) with considerable heterogeneity in rates of decline (variance estimate for the person-specific slope of decline was 0.0094, p < 0.001). When considered separately, 10 of the 11 pathologic indices were associated with faster decline and accounted for between 2 and 34% of the variation in decline, respectively. When considered simultaneously, the 11 pathologic indices together accounted for a total of 43% of the variation in decline; AD-related indices accounted for 30–36% of the variation, non-AD neurodegenerative indices 4–10%, and cerebrovascular indices 3–8%. Finally, the 11 pathologic indices combined accounted for less than a third of the variation in the onset of terminal decline (28%) and rates of preterminal (32%) and terminal decline (19%). Although age-related neuropathologies account for a large proportion of the variation in late life cognitive decline, considerable variation remains unexplained even after considering a wide array of neuropathologies. These findings highlight the complexity of cognitive aging and have important implications for the ongoing effort to develop effective therapeutics and identify novel treatment targets.


2006 ◽  
Vol 63 (2) ◽  
pp. 153 ◽  
Author(s):  
Mary Ganguli ◽  
Yangchun Du ◽  
Hiroko H. Dodge ◽  
Graham G. Ratcliff ◽  
Chung-Chou H. Chang

2016 ◽  
Vol 47 (4) ◽  
pp. 690-702 ◽  
Author(s):  
A. Brailean ◽  
M. J. Aartsen ◽  
G. Muniz-Terrera ◽  
M. Prince ◽  
A. M. Prina ◽  
...  

BackgroundCognitive impairment and depression often co-occur in older adults, but it is not clear whether depression is a risk factor for cognitive decline, a psychological reaction to cognitive decline, or whether changes in depressive symptoms correlate with changes in cognitive performance over time. The co-morbid manifestation of depression and cognitive impairment may reflect either a causal effect or a common cause, depending on the specific symptoms experienced and the cognitive functions affected.MethodThe study sample comprised 1506 community-dwelling older adults aged ⩾65 years from the Longitudinal Aging Study Amsterdam (LASA). We conducted cross-domain latent growth curve analyses to examine longitudinal associations between late-life depression dimensions (i.e. depressed affect, positive affect, and somatic symptoms) and specific domains of cognitive functioning (i.e. processing speed, inductive reasoning, immediate recall, and delayed recall).ResultsPoorer delayed recall performance at baseline predicted a steeper increase in depressed affect over time. Steeper decline in processing speed correlated with a steeper increase in somatic symptoms of depression over time.ConclusionsOur findings suggest a prospective association between memory function and depressed affect, whereby older adults may experience an increase in depressed affect in reaction to poor memory function. Somatic symptoms of depression increased concurrently with declining processing speed, which may reflect common neurodegenerative processes. Our findings do not support the hypothesis that depression symptoms may be a risk factor for cognitive decline in the general population. These findings have potential implications for the treatment of late-life depression and for the prognosis of cognitive outcomes.


Author(s):  
Claudio Liguori ◽  
Mariangela Pierantozzi ◽  
Agostino Chiaravalloti ◽  
Giulia M. Sancesario ◽  
Nicola B. Mercuri ◽  
...  

2017 ◽  
Vol 13 (12) ◽  
pp. 1380-1388 ◽  
Author(s):  
Lei Yu ◽  
Michael W. Lutz ◽  
Jose M. Farfel ◽  
Robert S. Wilson ◽  
Daniel K. Burns ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Raihaan Patel ◽  
Clare E. Mackay ◽  
Michelle G. Jansen ◽  
Gabriel A. Devenyi ◽  
M. Clare O’Donoghue ◽  
...  

AbstractWhile all individuals are susceptible to age-related cognitive decline, significant inter- and intra-individual variability exists. However, the sources of this variation remain poorly understood. Here, we examined the association between 30-year trajectories of cognitive decline and multimodal indices of brain microstructure and morphology in older age. We used the Whitehall II Study, an extensively characterised cohort using 3T brain magnetic resonance images acquired at older age (mean age = 69.52 ± 4.9) and 5 repeated cognitive performance assessments between mid-life (mean age = 53.2 ± 4.9 years) and late-life (mean age = 67.7 ± 4.9). Using non-negative matrix factorization, we identified 10 brain microstructural components that integrate measures of cortical thickness, surface area, fractional anisotropy, and mean and radial diffusivities. We observed two modes of variance that describe the association between cognition and brain microstructure. The first describes variations in 5 microstructural components associated with low mid-life performance across multiple cognitive domains, decline in reasoning abilities, but a relative maintenance of lexical and semantic fluency from mid-to-late life. The second describes variations in 5 microstructural components that are associated with low mid-life performance in lexical fluency, semantic fluency and short-term memory performance, but a retention of abilities in multiple domains from mid-to-late life. The extent to which a subject loads onto a latent variables predicts their future cognitive performance 3.2 years later (mean age = 70.87 ± 4.9). This data-driven approach highlights a complex pattern of brain-behavior relationships, wherein the same individuals express both decline and maintenance in function across cognitive domains and in brain structural features.Significance StatementAlthough declines in cognitive performance are an established aspect of aging, inter- and intra-individual variation exists. Nevertheless, the sources of this variation remain unclear. We analyse a unique sample to examine associations between 30-year trajectories of cognitive decline and multimodal indices of brain anatomy in older age. Using data-driven techniques, we find that age-related cognitive decline is not uniform. Instead, each individual expresses a mixture of maintenance and decline across cognitive domains, that are associated with a mixture of preservation and degeneration of brain structure. Further, we find the primary determinants of late-life cognitive performance are mid-life performance and higher brain surface area. These results suggest that early and mid-life preventative measures may be needed to reduce age-related cognitive decline.


2010 ◽  
Vol 26 (1) ◽  
pp. 39-47 ◽  
Author(s):  
Grace Tak Yu Leung ◽  
Ada Wai Tung Fung ◽  
Cindy Woon Chi Tam ◽  
Victor Wing Cheong Lui ◽  
Helen Fung Kum Chiu ◽  
...  

2010 ◽  
Vol 81 (9) ◽  
pp. 1028-1032 ◽  
Author(s):  
P. van Vliet ◽  
R. G. J. Westendorp ◽  
D. van Heemst ◽  
A. J. M. de Craen ◽  
A. M. Oleksik

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