scholarly journals Relationship between Serum and Brain Carotenoids,α-Tocopherol, and Retinol Concentrations and Cognitive Performance in the Oldest Old from the Georgia Centenarian Study

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Elizabeth J. Johnson ◽  
Rohini Vishwanathan ◽  
Mary Ann Johnson ◽  
Dorothy B. Hausman ◽  
Adam Davey ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Oldest Old ◽  
Negative Relationship ◽  
Cognitive Domains ◽  
Memory Processing ◽  
Significant Relationships ◽  
Age Related ◽  
The Status ◽  
Delayed Recognition ◽  
Age Related Cognitive Decline

Oxidative stress is involved in age-related cognitive decline. The dietary antioxidants, carotenoids, tocopherols, and vitamin A may play a role in the prevention or delay in cognitive decline. In this study, sera were obtained from 78 octogenarians and 220 centenarians from the Georgia Centenarian Study. Brain tissues were obtained from 47 centenarian decedents. Samples were analyzed for carotenoids,α-tocopherol, and retinol using HPLC. Analyte concentrations were compared with cognitive tests designed to evaluate global cognition, dementia, depression and cognitive domains (memory, processing speed, attention, and executive functioning). Serum lutein, zeaxanthin, andβ-carotene concentrations were most consistently related to better cognition (P<0.05) in the whole population and in the centenarians. Only serum lutein was significantly related to better cognition in the octogenarians. In brain, lutein andβ-carotene were related to cognition with lutein being consistently associated with a range of measures. There were fewer significant relationships forα-tocopherol and a negative relationship between brain retinol concentrations and delayed recognition. These findings suggest that the status of certain carotenoids in the old may reflect their cognitive function. The protective effect may not be related to an antioxidant effect given thatα-tocopherol was less related to cognition than these carotenoids.

scholarly journals Individual variation in brain microstructural-cognition relationships in aging

2021 ◽  
Author(s):  
Raihaan Patel ◽  
Clare E. Mackay ◽  
Michelle G. Jansen ◽  
Gabriel A. Devenyi ◽  
M. Clare O’Donoghue ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Cognitive Performance ◽  
Late Life ◽  
Older Age ◽  
Data Driven ◽  
Semantic Fluency ◽  
Cognitive Domains ◽  
Age Related ◽  
Brain Microstructure ◽  
Age Related Cognitive Decline

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.

Epidemiology of Cerebrovascular Disease Related Cognitive Decline

2003 ◽  
Vol 15 (S1) ◽  
pp. 105-110
Author(s):  
Chengxuan Qiu ◽  
Laura Fratiglioni
Keyword(s):  
Cerebrovascular Disease ◽  
Cognitive Decline ◽  
Memory Function ◽  
Population Based ◽  
Central Component ◽  
Cognitive Domains ◽  
Treatment And Prevention ◽  
Dementia Patients ◽  
Age Related ◽  
Age Related Cognitive Decline

Cognitive decline is a central component of the dementia process. Population-based prospective studies have confirmed the existence of age-related cognitive decline, although its conceptual basis and nosological status remain controversial. Healthy old people show decline with aging in global cognition and memory function in particular. Preclinical and clinical dementia patients exhibit deficits across multiple cognitive domains, with the largest and most consistent deficits in memory function. Cerebrovascluar disease may lead to cognitive decline and promote the clinical expression of dementia directly or by interaction with APOE η4. Early treatment and prevention of cerebrovascular disease may be the major measures for preventing and postponing the progression of the vascular disease related cognitive decline.

VStore: A Novel Virtual Reality Assessment of Functional Cognition (Preprint)

2021 ◽  
Author(s):  
Lilla Alexandra Porffy ◽  
Mitul A. Mehta ◽  
Joel Patchitt ◽  
Celia Boussebaa ◽  
Jack Brett ◽  
...  
Keyword(s):  
Working Memory ◽  
Virtual Reality ◽  
Cognitive Decline ◽  
Paired Associate ◽  
Model Fitting ◽  
Paired Associate Learning ◽  
Associate Learning ◽  
Cognitive Domains ◽  
Age Related ◽  
Age Related Cognitive Decline

BACKGROUND Cognitive deficits are present in a number of neuropsychiatric disorders including, Alzheimer’s disease, schizophrenia and depression. Assessments used to measure cognition in these disorders are time-consuming, burdensome, and have low ecological validity. To address these limitations, we developed a novel virtual reality shopping task – VStore. OBJECTIVE This study aims to establish the concurrent and construct validity of VStore in relation to the established computerized cognitive battery, Cogstate; and tests its sensitivity to age related cognitive decline. METHODS Hundred and four healthy volunteers aged 20-79 completed both assessments. Main VStore outcomes included: 1) verbal recall of 12 grocery items, 2) time to collect items, 3) time to select items on a self-checkout machine, 4) time to make the payment, 5) time to order coffee, and 6) total completion time. To establish concurrent validity, bivariate correlations were performed between VStore outcomes and Cogstate tasks measuring attention, processing speed, verbal and visual learning, working memory, executive function, and paired associate learning. Construct validity analysis was also performed to examine which cognitive domains best predicted VStore performance. Finally, two ridge regression models were built using VStore outcomes in the first, and Cogstate outcomes in the second model as predictors of biological age to compare their sensitivity to age-related cognitive decline. RESULTS We found moderate correlations between VStore and Cogstate outcomes. VStore Total Time was best explained by tasks measuring working memory and paired associate learning, in addition to age and technological familiarity, accounting for 46% of the variance. Finally, with λ = 5.16, the model fitting selected five parameters for VStore when predicting biological age (MSE = 185.8, SE= 19.34). With λ = 9.49 for Cogstate, the model fitting selected all eight tasks (MSE = 226.8, SE = 23.48). CONCLUSIONS Our findings suggest that VStore is a promising assessment that engages standard cognitive domains and is sensitive to age-related cognitive decline. CLINICALTRIAL NA

scholarly journals Cerebral aging: neuropsychological, neuroradiological, and neurometabolic correlates

2001 ◽  
Vol 3 (3) ◽  
pp. 217-228
Keyword(s):  
Cognitive Decline ◽  
Cognitive Changes ◽  
Statistical Manual ◽  
Cognitive Domains ◽  
Diagnostic And Statistical Manual ◽  
Visuospatial Abilities ◽  
Age Related ◽  
Brain Metabolic Activity ◽  
Declarative Learning ◽  
Age Related Cognitive Decline

The aging process is associated with a progressive cognitive decline, but both the extent of this decline and the profile of age-related cognitive changes remain to be clearly established. Currently, cognitive deficits associated with aging may be diagnosed under the categories of age-associated memory impairment, age-associated cognitive impairment, or the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) category of age-related cognitive decline. Age-related decline has been reported for several cognitive domains, such as language (eg, verb naming, verbal fluency), visuospatial abilities (eg, facial discrimination), executive functions (eg, set shifting, problem solving), and memory functions (eg, declarative learning, source memory). There is an age-related decline in brain cortical volume, which primarily involves association cortices and limbic regions. Studies of brain metabolic activity demonstrate an age-related decline in neocortical areas. Activation studies using cognitive tasks demonstrate that older healthy individuals have a different pattern of activation from younger subjects, suggesting thai older subjects may recruit additional brain areas in order to maintain performance.

Activity Engagement in Cognitive Aging: A Review of the Evidence

2013 ◽  
Vol 23 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Yvonne Rogalski ◽  
Muriel Quintana
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Social Activity ◽  
Current Evidence ◽  
Omega 3 ◽  
Neuroprotective Effects ◽  
Activity Engagement ◽  
Age Related ◽  
Age Related Cognitive Decline

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.

scholarly journals Targeting impaired nutrient sensing with repurposed therapeutics to prevent or treat age-related cognitive decline and dementia: A systematic review

2021 ◽  
Vol 67 ◽  
pp. 101302
Author(s):  
Benjamin Kioussis ◽  
Camilla S.L. Tuttle ◽  
Daniel S. Heard ◽  
Brian K. Kennedy ◽  
Nicola T. Lautenschlager ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cognitive Decline ◽  
Nutrient Sensing ◽  
Age Related ◽  
Age Related Cognitive Decline

scholarly journals Gene Expression Profile in Different Age Groups and Its Association with Cognitive Function in Healthy Malay Adults in Malaysia

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 ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Successful Aging ◽  
Expression Patterns ◽  
Age Groups ◽  
Genetic Network ◽  
Cross Sectional ◽  
Age Related ◽  
Age Related Cognitive Decline

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.

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