Anatomical and physiological plasticity of dendritic spines.
By Veronica A. Alvarez, Bernardo L. Sabatini. Annual Review of Neuroscience, 2007
662 citations recorded by the source corpus.
Subfields: Cell Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/4fcdfbd43fe4cdf63b1b09a53b6b1b0889a0dd1b
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In Cell Biology
In Cellular and Molecular Neuroscience
- Kristen M. Harris
- Jennifer N. Bourne
- E. Bullmore
- Beth Stevens
- Matthieu Gilson
- Olaf Sporns
- D. A. Thomas
- J. van Hemmen
In Cognitive Neuroscience
- E. Bullmore
- Olaf Sporns
- D. Bassett
- Yong He
- Martijn P. van den Heuvel
- Andrew Zalesky
- Cornelis J. Stam
- Kristen M. Harris
Citations in the corpus
- Complex brain networks: graph theoretical analysis of structural and functional systems (2009, background): “…is modified in the adult brain is highly debated. although some evidence suggests that mammalian cellular networks are continually remod-elled 93 , other evidence indicates that most synaptic spines are stable 94 . changes in neuronal connectivity necessitate homeostatic mechanisms to ensure…”
- Rare de novo variants associated with autism implicate a large functional network of genes involved in formation and function of synapses (2011, background): “The excitatory synaptic connections are formed between axons and dendritic spines, which are complex and dynamic postsynaptic structures containing thousands of different proteins (Alvarez and Sabatini, 2007; Tada and Sheng, 2006).”
- Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence (2010, background): “In biology, other mechanisms such as structural plasticity that creates and eliminates synapses (Alvarez and Sabatini 2007; Butz et al. 2009; Holtmaat and Svoboda 2009) also occur in parallel to the waxing and waning of existing synapses, which interplays with the organization scheme presented here.”
- Maze training in mice induces MRI-detectable brain shape changes specific to the type of learning (2011, background): “Tremendous progress has recently been made in elucidating cellular aspects of structural brain plasticity (Kempermann et al., 1997; Engert and Bonhoeffer, 1999; Holtmaat et al., 2005; De Paola et al., 2006; Haber et al., 2006; Alvarez and Sabatini, 2007) in the rodent.”
- The Role of Microglia in the Healthy Brain (2011, background): “During microglial interaction, these spines transiently expanded, similar to synaptically active spines in vitro (Alvarez and Sabatini, 2007), with small spines showing the most pronounced changes.”
- Synaptic Mechanisms for Plasticity in Neocortex (2009, background): “Strong evidence for LTP in adult cortical learning comes from V1, where presentation of temporally precise, flashed visual stimuli alters functional synaptic connectivity, visual receptive fields, and visual perception in a manner consistent with induction of spike timing–dependent LTP and LTD (disc”
- Balancing structure and function at hippocampal dendritic spines. (2008, background): “Live imaging with twophoton microscopy has revealed rapid, activitydependent spine turnover common during development , but as an animal matures more spines stabilize (Alvarez & Sabatini 2007).”
- Automated Three-Dimensional Detection and Shape Classification of Dendritic Spines from Fluorescence Microscopy Images (2008, background): “From a biophysical viewpoint, these effects give rise to increased synaptic currents and reduced time constants for calcium compartmentalization in larger spine heads (see refs [5,20] for review), modulating postsynaptic mechanisms that determine functions such as learning and memory [21–24].”