To what degree is late life cognitive decline driven by age-related neuropathologies?

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.

Author(s):  
Yvonne Rogalski ◽  
Muriel Quintana

The population of older adults is rapidly increasing, as is the number and type of products and interventions proposed to prevent or reduce the risk of age-related cognitive decline. Advocacy and prevention are part of the American Speech-Language-Hearing Association’s (ASHA’s) scope of practice documents, and speech-language pathologists must have basic awareness of the evidence contributing to healthy cognitive aging. In this article, we provide a brief overview outlining the evidence on activity engagement and its effects on cognition in older adults. We explore the current evidence around the activities of eating and drinking with a discussion on the potential benefits of omega-3 fatty acids, polyphenols, alcohol, and coffee. We investigate the evidence on the hypothesized neuroprotective effects of social activity, the evidence on computerized cognitive training, and the emerging behavioral and neuroimaging evidence on physical activity. We conclude that actively aging using a combination of several strategies may be our best line of defense against cognitive decline.


Cells ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1611
Author(s):  
Nur Fathiah Abdul Abdul Sani ◽  
Ahmad Imran Zaydi Amir Amir Hamzah ◽  
Zulzikry Hafiz Abu Abu Bakar ◽  
Yasmin Anum Mohd Mohd Yusof ◽  
Suzana Makpol ◽  
...  

The mechanism of cognitive aging at the molecular level is complex and not well understood. Growing evidence suggests that cognitive differences might also be caused by ethnicity. Thus, this study aims to determine the gene expression changes associated with age-related cognitive decline among Malay adults in Malaysia. A cross-sectional study was conducted on 160 healthy Malay subjects, aged between 28 and 79, and recruited around Selangor and Klang Valley, Malaysia. Gene expression analysis was performed using a HumanHT-12v4.0 Expression BeadChip microarray kit. The top 20 differentially expressed genes at p < 0.05 and fold change (FC) = 1.2 showed that PAFAH1B3, HIST1H1E, KCNA3, TM7SF2, RGS1, and TGFBRAP1 were regulated with increased age. The gene set analysis suggests that the Malay adult’s susceptibility to developing age-related cognitive decline might be due to the changes in gene expression patterns associated with inflammation, signal transduction, and metabolic pathway in the genetic network. It may, perhaps, have important implications for finding a biomarker for cognitive decline and offer molecular targets to achieve successful aging, mainly in the Malay population in Malaysia.


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.


Author(s):  
Mansour Mahmoudi Aghdam ◽  
Esmaeil Soleimani ◽  
Ali Issa Zadegan

Introduction: Age-related cognitive decline or cognitive aging is largely the result of structural and functional decline in specific areas of the brain, but lifestyle also contributes to this cognitive decline. The aim of this study was to investigate the effect of working memory rehabilitation on visual memory and memory span in ageing. Methods: This was a quasi-experimental study with pretest-posttest design and a control group. The study population included all elderly people who lived in Bukan Nursing Home from April to July 2019 (N = 120). Among these individuals, 30 elderly people were selected by convenience sampling method and then randomly assigned to two experimental and control groups (two groups of 15 people). Kim Karad Visual Memory Test and Wechsler Memory Span Test were taken from the groups in pretest. The working memory rehabilitation was performed in 18 sessions (each sessions 60-minute) and after which the test was performed again. The data were analyzed by multivariate covariance test according to its assumptions. Results: The results showed that after the rehabilitation of working memory, in the experimental group, the mean of short, medium and long components of visual memory were 12.00, 10.8 and 12.33, respectively, and the direct and inverse of memory span were 11.66 and 9.66, respectively. In the control group, the average of short, medium and long components of visual memory is 7.00, 6.70 and 9.00, respectively, and direct and inverse of memory span is 8.33 and 6.46, respectively. The difference in the mean scores between the two groups in the components of visual memory and memory span after the intervention was significant (p < 0.001). Conclusion: The results showed that working memory rehabilitation can improve visual memory and memory span, and it is recommended that this rehabilitation method be used to improve the cognitive functions of the elderly.


Author(s):  
Johannes Attems ◽  
Kurt A. Jellinger

This chapter describes the main neuropathological features of the most common age-associated neurodegenerative diseases, including Alzheimer’s disease, Parkinson’s disease, and dementia with Lewy bodies, as well as other less frequent ones such as multiple system atrophy, Pick’s disease, corticobasal degeneration, progressive supranuclear palsy, argyrophilic grain disease, neurofibrillary tangle-dominant dementia, frontotemporal lobar degeneration with TDP-43 pathology, and Huntington’s disease. Likewise, cerebral amyloid angiopathy, hippocampal sclerosis, vascular dementia, and prion diseases are described. A main aim of this chapter is to assist the reader in interpreting neuropathological reports; hence criteria for the neuropathological classifications of the major diseases are provided. One section covers general considerations on neurodegeneration, and basic pathophysiological mechanisms of tau, amyloid-β‎, α‎-synuclein, TDP-43, and prions are briefly described in the sections on the respective diseases. Finally, one section is dedicated to cerebral multimorbidity, and a view on currently emerging neuropathological methods is given.


Neurology ◽  
2020 ◽  
Vol 95 (24) ◽  
pp. e3269-e3279
Author(s):  
Lindsay M.K. Wallace ◽  
Olga Theou ◽  
Sultan Darvesh ◽  
David A. Bennett ◽  
Aron S. Buchman ◽  
...  

ObjectiveTo test the hypothesis that degree of frailty and neuropathologic burden independently contribute to global cognition and odds of dementia.MethodsThis was a secondary analysis of a prospective cohort study of older adults living in Illinois. Participants underwent an annual neuropsychological and clinical evaluation. We included 625 participants (mean age 89.7 ± 6.1 years; 67.5% female) who died and underwent autopsy. We quantified neuropathology using an index measure of 10 neuropathologic features: β-amyloid deposition, hippocampal sclerosis, Lewy bodies, tangle density, TDP-43, cerebral amyloid angiopathy, arteriolosclerosis, atherosclerosis, and gross and chronic cerebral infarcts. Clinical consensus determined dementia status, which we coded as no cognitive impairment, mild cognitive impairment, or dementia. A battery of 19 tests spanning multiple domains quantified global cognition. We operationalized frailty using a 41-item frailty index. We employed regression analyses to model relationships between neuropathology, frailty, and dementia.ResultsBoth frailty and a neuropathology index were independently associated with global cognition and dementia status. These results held after controlling for traditional pathologic measures in a sample of participants with Alzheimer clinical syndrome. Frailty improved the fit of the model for dementia status (χ2[2] 72.64; p < 0.0001) and explained an additional 11%–12% of the variance in the outcomes.ConclusionDementia is a multiply determined condition, to which both general health, as captured by frailty, and neuropathology significantly contribute. This integrative view of dementia and health has implications for prevention and therapy; specifically, future research should evaluate frailty as a means of dementia risk reduction.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S94-S94 ◽  
Author(s):  
Erik L Knight ◽  
Ryan Giuliano ◽  
Sean Shank ◽  
Megan Clarke ◽  
David M Almeida

Abstract The two branches of the autonomic nervous system (ANS) have been individually linked to age-related changes in cognitive functioning: The parasympathetic nervous system (PNS) is thought to support healthy cognitive aging, whereas the sympathetic nervous system (SNS) has been linked to heightened cognitive decline. Despite these separate findings and despite the integrative nature of the ANS, little work has examined the two branches simultaneously to better understand their interactive effects on age-related cognitive changes. We examined cognitive change in two waves of the MIDUS cognitive project and indexed PNS and SNS activity from heart rate variability and epinephrine levels (respectively) from the MIDUS biomarker project (n = 764, 56% female, mean age = 54.1 years). Our findings indicate that higher PNS levels attenuate cognitive decline, but only among individuals with low SNS levels; at higher SNS levels, the beneficial effects of the PNS are blocked. Further, lower PNS levels can be somewhat compensated for by increased SNS levels. This pattern was most robust among individuals transitioning to mid-life (i.e., 35-40 years old at the initial cognitive test). These results suggest that interventions targeting the ANS as a modifiable factor in cognitive aging should consider both ANS branch’s effects simultaneously, particularly in the early stages of midlife.


2020 ◽  
Vol 21 (1) ◽  
pp. 6-41 ◽  
Author(s):  
Martin Lövdén ◽  
Laura Fratiglioni ◽  
M. Maria Glymour ◽  
Ulman Lindenberger ◽  
Elliot M. Tucker-Drob

Cognitive abilities are important predictors of educational and occupational performance, socioeconomic attainment, health, and longevity. Declines in cognitive abilities are linked to impairments in older adults’ everyday functions, but people differ from one another in their rates of cognitive decline over the course of adulthood and old age. Hence, identifying factors that protect against compromised late-life cognition is of great societal interest. The number of years of formal education completed by individuals is positively correlated with their cognitive function throughout adulthood and predicts lower risk of dementia late in life. These observations have led to the propositions that prolonging education might (a) affect cognitive ability and (b) attenuate aging-associated declines in cognition. We evaluate these propositions by reviewing the literature on educational attainment and cognitive aging, including recent analyses of data harmonized across multiple longitudinal cohort studies and related meta-analyses. In line with the first proposition, the evidence indicates that educational attainment has positive effects on cognitive function. We also find evidence that cognitive abilities are associated with selection into longer durations of education and that there are common factors (e.g., parental socioeconomic resources) that affect both educational attainment and cognitive development. There is likely reciprocal interplay among these factors, and among cognitive abilities, during development. Education–cognitive ability associations are apparent across the entire adult life span and across the full range of education levels, including (to some degree) tertiary education. However, contrary to the second proposition, we find that associations between education and aging-associated cognitive declines are negligible and that a threshold model of dementia can account for the association between educational attainment and late-life dementia risk. We conclude that educational attainment exerts its influences on late-life cognitive function primarily by contributing to individual differences in cognitive skills that emerge in early adulthood but persist into older age. We also note that the widespread absence of educational influences on rates of cognitive decline puts constraints on theoretical notions of cognitive aging, such as the concepts of cognitive reserve and brain maintenance. Improving the conditions that shape development during the first decades of life carries great potential for improving cognitive ability in early adulthood and for reducing public-health burdens related to cognitive aging and dementia.


2019 ◽  
Vol 3 (2) ◽  
pp. 29 ◽  
Author(s):  
Saraswati Sridhar ◽  
Vidya Manian

Cognitive deterioration caused by illness or aging often occurs before symptoms arise, and its timely diagnosis is crucial to reducing its medical, personal, and societal impacts. Brain–computer interfaces (BCIs) stimulate and analyze key cerebral rhythms, enabling reliable cognitive assessment that can accelerate diagnosis. The BCI system presented analyzes steady-state visually evoked potentials (SSVEPs) elicited in subjects of varying age to detect cognitive aging, predict its magnitude, and identify its relationship with SSVEP features (band power and frequency detection accuracy), which were hypothesized to indicate cognitive decline due to aging. The BCI system was tested with subjects of varying age to assess its ability to detect aging-induced cognitive deterioration. Rectangular stimuli flickering at theta, alpha, and beta frequencies were presented to subjects, and frontal and occipital Electroencephalographic (EEG) responses were recorded. These were processed to calculate detection accuracy for each subject and calculate SSVEP band power. A neural network was trained using the features to predict cognitive age. The results showed potential cognitive deterioration through age-related variations in SSVEP features. Frequency detection accuracy declined after age group 20–40, and band power declined throughout all age groups. SSVEPs generated at theta and alpha frequencies, especially 7.5 Hz, were the best indicators of cognitive deterioration. Here, frequency detection accuracy consistently declined after age group 20–40 from an average of 96.64% to 69.23%. The presented system can be used as an effective diagnosis tool for age-related cognitive decline.


2019 ◽  
Vol 15 (7) ◽  
pp. P241-P242
Author(s):  
Alifiya Kapasi ◽  
Lei Yu ◽  
Patricia A. Boyle ◽  
David A. Bennett ◽  
Julie A. Schneider

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