The Cambridge Handbook of Cognitive Aging 2020
DOI: 10.1017/9781108552684.005
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Neuroadaptive Trajectories of Healthy Mindspan: From Genes to Neural Networks

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Cited by 8 publications
(10 citation statements)
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“…While some people retain relatively normal cognitive function as they age, memory capacity among other aged individuals is substantially impaired. This increased interindividual variability is among the most consistent findings in aging research and is observed across multiple species (Rapp, Bañuelos, & Myrum, ). While impairment is closely linked to alterations in cellular and synaptic connectivity and plasticity (Morrison & Baxter, ), it is unclear how these changes influence the larger scale neural networks that support the brain's ability to encode new memories.…”
Section: Introductionmentioning
confidence: 99%
“…While some people retain relatively normal cognitive function as they age, memory capacity among other aged individuals is substantially impaired. This increased interindividual variability is among the most consistent findings in aging research and is observed across multiple species (Rapp, Bañuelos, & Myrum, ). While impairment is closely linked to alterations in cellular and synaptic connectivity and plasticity (Morrison & Baxter, ), it is unclear how these changes influence the larger scale neural networks that support the brain's ability to encode new memories.…”
Section: Introductionmentioning
confidence: 99%
“…H3K9AcS10P is particularly interesting, as levels of this mark in the young adult CA3 were intermediate between the aged cognitive phenotypes. This unique profile among aged unimpaired rats may therefore represent a neuroadaptive mechanism whereby H3K9AcS10P supports an optimally healthy outcome in cognitive aging [2].…”
Section: Discussionmentioning
confidence: 91%
“…Vulnerability and resilience to cognitive decline in aging varies greatly from person to person, and the neurobiological underpinnings of cognitive aging across this spectrum are only beginning to be unraveled. Both human and animal models point to altered brain plasticity and connectivity as key determinants of successful versus unsuccessful outcomes in cognitive aging [1,2]. A major focus of research in this context has been to identify the changes in activity-induced neuronal gene expression that are coupled to cognitive outcomes in aging (e.g., Blalock et al [3], Haberman et al [4], and Ianov et al [5]).…”
Section: Introductionmentioning
confidence: 99%
“…Age-related cognitive decline results at least in part from molecular changes that drive dysfunctional synaptic connectivity and disrupt neural network dynamics in vulnerable circuitry critical for normal function [59]. Although successful cognitive aging can reflect simply the absence of brain aging or 'brain maintenance,' it is increasingly evident that preserved function in late-life can also be supported by various compensatory or adaptive neural mechanisms, distinct from the substrates engaged in the young brain [60]. Based on this variability, it seems reasonable to suspect that the effects of brain stimulation might also vary across the neurocognitive aging spectrum.…”
Section: Discussionmentioning
confidence: 99%