Healthy aging is typically associated with some level of cognitive decline, but there is substantial variation in such decline among older adults. The mechanisms behind such heterogeneity remain unclear but some have suggested a role for cognitive reserve. In this work, we propose the "person-based similarity index" for cognition (PBSI-Cog) as a proxy for cognitive reserve in older adults, and use the metric to quantify similarity between the cognitive profiles of healthy older and younger participants. In the current study, we computed this metric in 237 healthy older adults (55-88 years) using a reference group of 156 younger adults (18-39 years) taken from the Cambridge Center for Ageing and Neuroscience dataset. Our key findings revealed that PBSI-Cog scores in older adults were: 1) negatively associated with age (rho = -0.25, P = 10-4) and positively associated with higher education (t = 2.4, P = 0.02), 2) largely explained by fluid intelligence and executive function, and 3) predicted more by functional connectivity between lower- and higher-order resting-state networks than brain structural morphometry or education. Particularly, we found that higher segregation between the sensorimotor and executive networks predicted higher PBSI-Cog scores. Our results support the notion that brain network functional organization may underly variability in cognitive reserve in late adulthood.
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http://dx.doi.org/10.1093/cercor/bhab215 | DOI Listing |
Front Psychol
December 2024
Department of Neurology, Harvard Medical School, Boston, MA, United States.
Objective: This study examined the psychometric properties of a newly developed scale for measuring subjective cognitive reserve (SCR) across multiple domains, including nutrition, physical condition, sleep, cognition, willingness to learn, socialization, general health, and life plan.
Method: The relationship between SCR scores and other established measures of cognitive reserve and subjective cognitive decline was also explored. A sample of 402 healthy participants aged 18 to 79 years took part in the study.
J Appl Gerontol
January 2025
Seoul National University, Seoul, Republic of Korea.
This study aims to examine the trajectory of older adults' cognitive function over time and identify its predictors. Based on the model of neuroplasticity and cognitive reserve, participants' general characteristics as well as their physical, mental, and social factors were included as predictors of cognitive function. A latent growth model analysis was used to examine the trajectory of cognitive function and its predictors.
View Article and Find Full Text PDFACS Chem Neurosci
January 2025
Department of Health Service, Polyclinic, Sector 6, Jhajjar, Haryana 124103, India.
Alzheimer's disease (AD) impacts millions of elderly adults worldwide causing cognitive decline and severe deterioration of activities of daily life. The popular causal hypotheses for several decades include beta-amyloid (Aβ) deposition and tau hyperphosphorylation. AD research and more than 34% of clinical trials in AD are based on these two hypotheses.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Background: Cognitive reserve (CR), typically measured through socio-behavioral proxies, can partially explain better cognitive performance despite underlying brain aging or neuropathology.
Objective: To examine the associations of CR with mild cognitive impairment (MCI) and cognitive function while considering Alzheimer's disease (AD)-related plasma biomarkers.
Methods: This population-based cross-sectional study included 4706 dementia-free individuals from MIND-China.
Front Neurol
December 2024
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Background: The Montreal Cognitive assessment (MoCA) is a well-validated global cognitive screening instrument. Its validity in progressive supranuclear palsy (PSP) has not been assessed.
Objectives: To evaluate the MoCA as an outcome measure in PSP clinical trials.
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