ReportDevelopment of Long-Term Dendritic Spine Stability in Diverse Regions of Cerebral Cortex

By Yi Zuo, Aerie Lin, Paul C Chang, Wen-Biao Gan. 2005

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Citations in the corpus

NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks (2022, background): “This suggests that stable spines serve as substrates for long-term information storage (Zuo et al., 2005; Yang et al., 2009; 2014; Grutzendler et al., 2002).”
Do thin spines learn to be mushroom spines that remember? (2007, background): “Thin spines maintain structural flexibility to enlarge and stabilize, or shrink and dismantle, as they accommodate new, enhanced, or recently weakened inputs, making them candidate ‘learning spines’ [5 ,6 ,17].”
Deep tissue two-photon microscopy (2005, methodology): “In the brain, these experiments are performed either through the thinned skul”
Dynamic Remodeling of Dendritic Arbors in GABAergic Interneurons of Adult Visual Cortex (2005, methodology): “Repeated in vivo imaging of apical dendrites extending from layer 5 pyramidal neurons into the superficial layers has been used to investigate dendritic spine dynamics in both the somatosensory and the visual cortex [10–13].”
Spine Plasticity in the Motor Cortex (2010, background): “In adolescence, while spine turnover rates are comparable [31,32], spine motility is intrinsically different in various cortical regions, high in somatosensory and auditory cortices while low in visual cortex [32].”
Microglial Interactions with Synapses Are Modulated by Visual Experience (2010, result): “This is consistent with previous findings showing that in mouse visual and somatosensory cortical areas in vivo, small dendritic spines are more motile and more frequently eliminated than their larger counterparts [20,22,24,53,54].”
Anatomical and physiological plasticity of dendritic spines. (2007, methodology): “In young mice, spine elimination occurs more frequently than does spine formation, lead- ing to a net loss of ∼15%–20% of spines (Grutzendler et al. 2002, Holtmaat et al. 2005, Zuo et al. 2005).”
Automated Three-Dimensional Detection and Shape Classification of Dendritic Spines from Fluorescence Microscopy Images (2008, background): “Spine morphology also varies dynamically in response to synaptic activity [8–13].”