Neural plasticity in the ageing brain

By Sara N. Burke, C. A. Barnes. Nature Reviews Neuroscience, 2006

1,603 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/d2422434fa6a0b96bdca8b10d036e44635f61c0f

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Directly Reprogrammed Human Neurons Retain Aging-Associated Transcriptomic Signatures and Reveal Age-Related Nucleocytoplasmic Defects (2015, positive): “Consistent with earlier transcriptome studies on the aging brain, we found gene categories differentially expressed in aging iNs that point to age-dependent differential regulation of synaptic function, projection development, and Ca homeostasis, which in turn impacts functions such as synaptic plas”
Executive Functions after Age 5: Changes and Correlates (2009, background): “In accord with the specific vulnerability of EF, normal aging is not characterized by widespread neural changes but instead by selective cell loss, dendritic deterioration, and chemical dysregulation in the PFC and hippocampus (Burke & Barnes, 2006).”
Structural Plasticity and Hippocampal Function (2010, background): “…of these is beyond the scope of this review, adult neurogenesis and other forms of structural plasticity have been implicated in addiction, schizophrenia, Alzheimer’s, and epilepsy (reviewed in Burke & Barnes 2006, Eisch et al. 2008, Manji et al. 2001, Russo et al. 2009, Swann et al. 2000).”
Normal aging induces A1-like astrocyte reactivity (2018, background): “The accumulation of myelin and misfolded proteins likely contribute to the impairment of synaptic plasticity reported to occur in aging (31).”
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing (2014, background): “This hypothesis is grounded in a growing number of findings demonstrating that older adults’ brains can remain flexible despite structural decline, and that this flexibility can help support successful cognition into old age [2-5].”
Incremental Learning Using a Grow-and-Prune Paradigm With Efficient Neural Networks (2019, background): “They continually remold numerous synaptic connections as we acquire new knowledge and information [41].”
Dietary (Poly)phenolics in Human Health: Structures, Bioavailability, and Evidence of Protective Effects Against Chronic Diseases (2013, neutral): “Blueberry-derived flavonoids may also act to enhance the efficiency of spatial memory indirectly by acting on the dentate gyrus (DG), the hippocampal subregion most sensitive to the effects of aging (56, 425).”
Brain-Derived Neurotrophic Factor: A Key Molecule for Memory in the Healthy and the Pathological Brain (2019, background): “, 2005), an important reduction in the number of synapses (Burke and Barnes, 2006) and also changes in neuroplasticity-related proteins (Assuncao et al.”
Age-Related Characteristics of Resting-State Electroencephalographic Signals and the Corresponding Analytic Approaches: A Review (2024, background): “Due to the different vulnerabilities to aging in the subregions of the brain, volumetric changes in the medial temporal lobe (MTL) and prefrontal cortex (PFC) are more significant rather than those in the parietal and occipital regions [2,11,15].”