ArticleBrain structure & function2014
Stereological and ultrastructural quantification of the afferent synaptome of individual neurons.
Article in Brain structure & function, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dendritic Architecture PredictsFrontiers in neural circuits · 2021Article
- Morphological and Biophysical Determinants of the Intracellular and Extracellular Waveforms in Nigral Dopaminergic Neurons: A Computational Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Role of the Axon Initial Segment in the Control of Spontaneous Frequency of Nigral Dopaminergic NeuronsThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Cortical and thalamic excitation mediate the multiphasic responses of striatal cholinergic interneurons to motivationally salient stimuli.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014Article
- Functional associations among G protein-coupled neurotransmitter receptors in the human brain.BMC neuroscience · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Determining the number and placement of synaptic inputs along the distinct plasma membrane domains of neurons is essential for explaining the basis of neuronal activity and function. We detail a strategy that combines juxtacellular labeling, neuronal reconstructions and stereological sampling of inputs at the ultrastructural level to define key elements of the afferent 'synaptome' of a given neuron. This approach provides unbiased estimates of the total number and somato-dendritic distribution of synapses made with individual neurons. These organizational properties can be related to the activity of the same neurons previously recorded in vivo, for direct structure-function correlations at the single-cell level. The approach also provides the quantitative data required to develop biologically realistic models that simulate and predict neuronal activity and function.
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Registered trials
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