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A Simple Rule for Dendritic Spine and Axonal Bouton Formation Can Account for Cortical Reorganization after Focal Retinal Lesions

Overview of attention for article published in PLoS Computational Biology, October 2013
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Title
A Simple Rule for Dendritic Spine and Axonal Bouton Formation Can Account for Cortical Reorganization after Focal Retinal Lesions
Published in
PLoS Computational Biology, October 2013
DOI 10.1371/journal.pcbi.1003259
Pubmed ID
Authors

Markus Butz, Arjen van Ooyen

Abstract

Lasting alterations in sensory input trigger massive structural and functional adaptations in cortical networks. The principles governing these experience-dependent changes are, however, poorly understood. Here, we examine whether a simple rule based on the neurons' need for homeostasis in electrical activity may serve as driving force for cortical reorganization. According to this rule, a neuron creates new spines and boutons when its level of electrical activity is below a homeostatic set-point and decreases the number of spines and boutons when its activity exceeds this set-point. In addition, neurons need a minimum level of activity to form spines and boutons. Spine and bouton formation depends solely on the neuron's own activity level, and synapses are formed by merging spines and boutons independently of activity. Using a novel computational model, we show that this simple growth rule produces neuron and network changes as observed in the visual cortex after focal retinal lesions. In the model, as in the cortex, the turnover of dendritic spines was increased strongest in the center of the lesion projection zone, while axonal boutons displayed a marked overshoot followed by pruning. Moreover, the decrease in external input was compensated for by the formation of new horizontal connections, which caused a retinotopic remapping. Homeostatic regulation may provide a unifying framework for understanding cortical reorganization, including network repair in degenerative diseases or following focal stroke.

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Geographical breakdown

Country Count As %
Germany 8 5%
Spain 2 1%
United States 2 1%
Netherlands 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Denmark 1 <1%
Portugal 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 144 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 31%
Researcher 35 21%
Student > Master 26 16%
Professor 10 6%
Student > Postgraduate 7 4%
Other 22 13%
Unknown 13 8%
Readers by discipline Count As %
Neuroscience 36 22%
Agricultural and Biological Sciences 32 20%
Computer Science 22 13%
Engineering 18 11%
Physics and Astronomy 12 7%
Other 26 16%
Unknown 17 10%