scholarly journals Cognitive Diversity in a Healthy Aging Cohort: Cross-Domain Cognition in the Cam-CAN Project

2019 ◽  
Vol 32 (9) ◽  
pp. 1029-1041 ◽  
Author(s):  
Meredith A. Shafto ◽  
Richard N. Henson ◽  
Fiona E. Matthews ◽  
Jason R. Taylor ◽  
Tina Emery ◽  
...  
Keyword(s):  
Cognitive Aging ◽  
Social Engagement ◽  
Large Scale ◽  
Healthy Aging ◽  
Developmental Process ◽  
Cognitive Diversity ◽  
Cognitive Domains ◽  
Adult Lifespan ◽  
Cross Domain ◽  
Components Analysis

Objective: Studies of “healthy” cognitive aging often focus on a limited set of measures that decline with age. The current study argues that defining and supporting healthy cognition requires understanding diverse cognitive performance across the lifespan. Method: Data from the Cambridge Centre for Aging and Neuroscience (Cam-CAN) cohort was examined across a range of cognitive domains. Performance was related to lifestyle including education, social engagement, and enrichment activities. Results: Results indicate variable relationships between cognition and age (positive, negative, or no relationship). Principal components analysis indicated maintained cognitive diversity across the adult lifespan, and that cognition–lifestyle relationships differed by age and domain. Discussion: Our findings support a view of normal cognitive aging as a lifelong developmental process with diverse relationships between cognition, lifestyle, and age. This reinforces the need for large-scale studies of cognitive aging to include a wider range of both ages and cognitive tasks.

scholarly journals INCIDENCE OF COGNITIVE IMPAIRMENT AMONG U.S. CHINESE OLDER ADULTS: DOES SOCIAL ENGAGEMENT MATTER?

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S929-S929
Author(s):  
Dexia Kong ◽  
XinQi Dong
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Cognitive Aging ◽  
Social Engagement ◽  
Population Based ◽  
Chinese Older Adults ◽  
Cognitive Domains ◽  
Prior Literature ◽  
Cognitive Activities ◽  
The Relationship

Abstract The increasing diversity in U.S. aging population warrants improved understanding of risk factors of cognitive aging in minority populations. This study presents the prevalence of incident cognitive impairment (CI) among U.S. Chinese older adults; and the relationship between social engagement and incident CI. Data were obtained from the Population-based Study of Chinese Elderly in Chicago, a prospective cohort study of Chinese older adults. Baseline (collected between 2011 and 2013) and one subsequent wave of data (collected between 2013 and 2015) were used in analyses (N=2,713). Social engagement was measured by the frequency of participation in social and cognitive activities (range=0-65). Cognitive function was assessed by a battery of 5 validated instruments. Incidence of CI was defined as having a follow-up cognition score lower than 1.5 standard deviations below the mean baseline cognition score. Logistic regression analyses were conducted. Nearly 6% of the sample reported incident CI. Chinese older adults who are more socially-engaged had a lower likelihood of developing CI (odds ratio [OR] 0.94, 0.92-0.96). The relationship was consistent across cognitive domains, including episodic memory (OR 0.95, 0.92-0.97), working memory (OR 0.92, 0.88-0.95), and perceptual speed (OR 0.95, 0.92-0.98). Furthermore, older age (OR 1.12, 1.09-1.15), and lower education (OR 0.91, 0.87-0.96) were associated with incident CI. No significant association was observed between gender, income, marital status, household size, acculturation, medical morbidities, depressive symptoms, and incident CI. The findings highlight the importance of social engagement in cognitive aging. Discrepancies with prior literature and implications of these findings will be discussed.

scholarly journals Promoting Successful Cognitive Aging: A Ten-Year Update

2021 ◽  
pp. 1-50
Author(s):  
Taylor J. Krivanek ◽  
Seth A. Gale ◽  
Brittany M. McFeeley ◽  
Casey M. Nicastri ◽  
Kirk R. Daffner
Keyword(s):  
Cognitive Decline ◽  
Cognitive Aging ◽  
Social Engagement ◽  
Large Scale ◽  
Science Studies ◽  
Cognitive Capacity ◽  
Quality Data ◽  
Good Time ◽  
Anticholinergic Medications ◽  
Toxic Damage

A decade has passed since we published a comprehensive review in this journal addressing the topic of promoting successful cognitive aging, making this a good time to take stock of the field. Because there have been limited large-scale, randomized controlled trials, especially following individuals from middle age to late life, some experts have questioned whether recommendations can be legitimately offered about reducing the risk of cognitive decline and dementia. Despite uncertainties, clinicians often need to at least make provisional recommendations to patients based on the highest quality data available. Converging lines of evidence from epidemiological/cohort studies, animal/basic science studies, human proof-of-concept studies, and human intervention studies can provide guidance, highlighting strategies for enhancing cognitive reserve and preventing loss of cognitive capacity. Many of the suggestions made in 2010 have been supported by additional research. Importantly, there is a growing consensus among major health organizations about recommendations to mitigate cognitive decline and promote healthy cognitive aging. Regular physical activity and treatment of cardiovascular risk factors have been supported by all of these organizations. Most organizations have also embraced cognitively stimulating activities, a heart-healthy diet, smoking cessation, and countering metabolic syndrome. Other behaviors like regular social engagement, limiting alcohol use, stress management, getting adequate sleep, avoiding anticholinergic medications, addressing sensory deficits, and protecting the brain against physical and toxic damage also have been endorsed, although less consistently. In this update, we review the evidence for each of these recommendations and offer practical advice about behavior-change techniques to help patients adopt brain-healthy behaviors.

scholarly journals Social Engagement and Episodic Memory in Non-Hispanic Black and White Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 343-343
Author(s):  
Abbey Hamlin ◽  
A Zarina Kraal ◽  
Laura Zahodne
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Episodic Memory ◽  
Cognitive Aging ◽  
Social Engagement ◽  
Future Research ◽  
Social Activities ◽  
Linear Regression Models ◽  
Significant Positive Association ◽  
Cross Sectional

Abstract Social engagement may confer cognitive benefits in older adulthood, but studies have typically been restricted to largely non-Hispanic White (NHW) samples. Levels of social engagement vary across race such that NHW report larger social networks, more frequent participation in social activities, and greater social support than non-Hispanic Blacks (NHB). Associations between social engagement and cognition may also vary by race, but research is sparse. The current cross-sectional study examined associations between different aspects of social engagement and episodic memory performance, as well as interactions between social engagement and race among NHB and NHW participants in the Michigan Cognitive Aging Project (N = 247; 48.4% NHB; age = 64.19 ± 2.92). Social engagement (network size, activities, support) was self-reported. Episodic memory was a z-score composite of immediate, delayed, and recognition trials of a list-learning task. Separate hierarchical linear regression models quantified interactions between race and each of the three social engagement variables on episodic memory, controlling for sociodemographics, depressive symptoms, and health conditions. Results showed a main effect of more frequent social activity on better episodic memory, as well as an interaction between race and social support indicating a significant positive association in NHB but not NHW. These preliminary findings suggest that participating in social activities may be equally beneficial for episodic memory across NHB and NHW older adults and that social support may be particularly beneficial for NHB. Future research is needed to determine the potential applications of these results in reducing cognitive inequalities through the development of culturally-relevant interventions.

Imaging and Cognitive Genetics: The Norwegian Cognitive NeuroGenetics Sample

2012 ◽  
Vol 15 (3) ◽  
pp. 442-452 ◽  
Author(s):  
Thomas Espeseth ◽  
Andrea Christoforou ◽  
Astri J. Lundervold ◽  
Vidar M. Steen ◽  
Stephanie Le Hellard ◽  
...  
Keyword(s):  
Sample Size ◽  
Cognitive Aging ◽  
Brain Function ◽  
Large Scale ◽  
Adult Life ◽  
Aging Brain ◽  
Adult Life Span ◽  
Cross Sectional ◽  
A Genome ◽  
Effects Of Aging

Data collection for the Norwegian Cognitive NeuroGenetics sample (NCNG) was initiated in 2003 with a research grant (to Ivar Reinvang) to study cognitive aging, brain function, and genetic risk factors. The original focus was on the effects of aging (from middle age and up) and candidate genes (e.g., APOE, CHRNA4) in cross-sectional and longitudinal designs, with the cognitive and MRI-based data primarily being used for this purpose. However, as the main topic of the project broadened from cognitive aging to imaging and cognitive genetics more generally, the sample size, age range of the participants, and scope of available phenotypes and genotypes, have developed beyond the initial project. In 2009, a genome-wide association (GWA) study was undertaken, and the NCNG proper was established to study the genetics of cognitive and brain function more comprehensively. The NCNG is now controlled by the NCNG Study Group, which consists of the present authors. Prominent features of the NCNG are the adult life-span coverage of healthy participants with high-dimensional imaging, and cognitive data from a genetically homogenous sample. Another unique property is the large-scale (sample size 300–700) use of experimental cognitive tasks focusing on attention and working memory. The NCNG data is now used in numerous ongoing GWA-based studies and has contributed to several international consortia on imaging and cognitive genetics. The objective of the following presentation is to give other researchers the information necessary to evaluate possible contributions from the NCNG to various multi-sample data analyses.

scholarly journals Clean Air Act mitigate the cognitive deterioration in older adults

2021 ◽  
Author(s):  
Yao Yao ◽  
Xiaozhen Lv ◽  
Chengxuan Qiu ◽  
Jiajianghui Li ◽  
Xiao Wu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Cognitive Aging ◽  
Large Scale ◽  
Mmse Score ◽  
Intervention Group ◽  
Clean Air Act ◽  
Control Group ◽  
Cognitive Deterioration ◽  
Clean Air ◽  
The Government

Abstract Air pollution may accelerate cognitive aging, it is unclear whether large-scale interventions by Clean Air Act can mitigate the cognitive deterioration. Here, we conducted a difference-in-differences analysis based on Chinese Longitudinal Healthy Longevity Survey during 2014 and 2018. Intervention group came from where the government set a strict target of reducing air pollution, whereas control group lived in areas without reduction target. Global cognitive functions were measured using the Mini-Mental State Examination (MMSE). We found the intervention group with implementing Clean Air Act had a significantly smaller decline in MMSE score compared to the control group. Interquartile increases in PM2.5 and SO2 concentrations were significantly associated with a faster decline of MMSE score by 1.78 and 0.92 points, respectively. Implementing stringent clean air policies, especially in low- and middle-income countries may mitigate the risk of cognitive aging in older people.

scholarly journals Sounds of Healthy Aging: Assessing Everyday Cognitive Activity From Real-Life Audio Data

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 622-622
Author(s):  
Burcu Demiray ◽  
Minxia Luo ◽  
Matthew Grilli
Keyword(s):  
Older Adults ◽  
Prospective Memory ◽  
Cognitive Aging ◽  
Healthy Aging ◽  
Cognitive Activity ◽  
Real Life ◽  
Well Being ◽  
Cognitive Status ◽  
World Health ◽  
Recording Device

Abstract The healthy aging model of the World Health Organization (2015) highlights the value of assessing and monitoring everyday activities in understanding health in old age. This symposium includes four studies that used the Electronically Activated Recorder (EAR), a portable recording device that periodically collects sound snippets in everyday life, to assess various real-life cognitive activities in the context of healthy aging. The four studies collected over 100,000 sound snippets (30-seconds long) over a few days from young and older adults in the US and Switzerland. Participants’ speech in the sound snippets were transcribed and coded for different cognitive activity information. Specifically, Haas and Kliegel have investigated the “prospective memory paradox” by examining the commonality and differences in utterances about retrospective and prospective memory failure in young and older adults’ everyday conversations. Demiray and colleagues investigated the relation between autobiographical memory functions and conversation types in young and older adults in relation to well-being. Luo and colleagues have identified the compensatory function of real-world contexts in cognitive aging: Their study showed that older adults benefited from talking with their spouse in producing complex grammatical structures. Finally, Polsinelli and colleagues found robust associations between language markers (e.g., prepositions, more numbers) and executive functions, highlighting the potential use of spontaneous speech in predicting cognitive status in healthy older adults. Finally, Prof. Matthew Grilli will serve as a discussant and provide an integrative discussion of the papers, informed by his extensive work on clinical and cognitive neuroscience of memory in relation to real-life contexts.

scholarly journals Posterior Cingulate Cortex Network Predicts Alzheimer's Disease Progression

2020 ◽  
Vol 12 ◽  
Author(s):  
Pei-Lin Lee ◽  
Kun-Hsien Chou ◽  
Chih-Ping Chung ◽  
Tzu-Hsien Lai ◽  
Juan Helen Zhou ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Disease Progression ◽  
Large Scale ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Cognitive Domains ◽  
Atrophy Rate ◽  
Posterior Cingulate ◽  
Structural Networks

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by the accumulation of toxic misfolded proteins, which are believed to have propagated from disease-specific epicenters through their corresponding large-scale structural networks in the brain. Although previous cross-sectional studies have identified potential AD-associated epicenters and corresponding brain networks, it is unclear whether these networks are associated with disease progression. Hence, this study aims to identify the most vulnerable epicenters and corresponding large-scale structural networks involved in the early stages of AD and to evaluate its associations with multiple cognitive domains using longitudinal study design. Annual neuropsychological and MRI assessments were obtained from 23 patients with AD, 37 patients with amnestic mild cognitive impairment (MCI), and 33 healthy controls (HC) for 3 years. Candidate epicenters were identified as regions with faster decline rate in the gray matter volume (GMV) in patients with MCI who progressed to AD as compared to those regions in patients without progression. These epicenters were then further used as pre-defined regions of interest to map the synchronized degeneration network (SDN) in HCs. Spatial similarity, network preference and clinical association analyses were used to evaluate the specific roles of the identified SDNs. Our results demonstrated that the hippocampus and posterior cingulate cortex (PCC) were the most vulnerable AD-associated epicenters. The corresponding PCC-SDN showed significant spatial association with the patterns of GMV atrophy rate in each patient group and the overlap of these patterns was more evident in the advanced stages of the disease. Furthermore, individuals with a higher GMV atrophy rate of the PCC-SDN also showed faster decline in multiple cognitive domains. In conclusion, our findings suggest the PCC and hippocampus are two vulnerable regions involved early in AD pathophysiology. However, the PCC-SDN, but not hippocampus-SDN, was more closely associated with AD progression. These results may provide insight into the pathophysiology of AD from large-scale network perspective.

An Applicative Survey on Few-Shot Learning

2021 ◽  
Vol 15 ◽  
Author(s):  
Jianwei Zhang ◽  
Xubin Zhang ◽  
Lei Lv ◽  
Yining Di ◽  
Wei Chen
Keyword(s):  
Large Scale ◽  
Representation Learning ◽  
Language Models ◽  
Data Sets ◽  
Research Directions ◽  
Large Scale Data ◽  
Cross Domain ◽  
Meta Learning ◽  
Definition Of ◽  
Future Work

Background: Learning discriminative representation from large-scale data sets has made a breakthrough in decades. However, it is still a thorny problem to generate representative embedding from limited examples, for example, a class containing only one image. Recently, deep learning-based Few-Shot Learning (FSL) has been proposed. It tackles this problem by leveraging prior knowledge in various ways. Objective: In this work, we review recent advances of FSL from the perspective of high-dimensional representation learning. The results of the analysis can provide insights and directions for future work. Methods: We first present the definition of general FSL. Then we propose a general framework for the FSL problem and give the taxonomy under the framework. We survey two FSL directions: learning policy and meta-learning. Results: We review the advanced applications of FSL, including image classification, object detection, image segmentation and other tasks etc., as well as the corresponding benchmarks to provide an overview of recent progress. Conclusion: FSL needs to be further studied in medical images, language models, and reinforcement learning in future work. In addition, cross-domain FSL, successive FSL, and associated FSL are more challenging and valuable research directions.

Associations among the Subtests: A Short-Form CART

2016 ◽  
Author(s):  
Keith E. Stanovich ◽  
Richard F. West ◽  
Maggie E. Toplak
Keyword(s):  
Cognitive Ability ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Scientific Reasoning ◽  
Large Scale ◽  
Short Form ◽  
Statistical Reasoning ◽  
Rational Thinking ◽  
The Core ◽  
Components Analysis

Chapter 12 describes a large-scale study of the short-form version of the CART. The short-form is composed of 11 of the 20 subtests and can be completed in less than two hours by most subjects. The short-form CART includes both the Probabilistic and Statistical Reasoning and the Scientific Reasoning subtests, as both are at the core of most definitions of rational thinking. All four subtests that directly tap the avoidance of miserly processing are included in the short form. The Probabilistic Numeracy subtest is included in the short-form CART because it is statistically quite potent for the amount of time that it takes. All four subtests assessing contaminated mindware are included in the short-form. Chapter 12 reports the results of a study of short-form performance involving 372 subjects. Reliabilities of all the subtests are reported, as well as correlations with cognitive ability and the Actively Open-Minded Thinking scale. Correlations among all the subtests are reported as well as a principal components analysis of the subtests.

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