- Poster presentation
- Open Access
A model for cortical remapping and structural plasticity following focal retinal lesions
© Butz et al; licensee BioMed Central Ltd. 2009
- Published: 13 July 2009
- Neural Network Model
- Model Neuron
- Recurrent Neural Network
- Synapse Formation
- Independent Development
It is still debatable to what extent structural plasticity in terms of synaptic rewiring is the cause for lesion-induced or experience-dependent cortical remapping . Recent two-photon laser imaging studies demonstrate that synaptic rewiring is persistent in the adult brain and is dramatically increased following brain lesions or after a loss of sensory input (deafferentation). We use a recurrent neural network model  as a vehicle to study structural plasticity; to study the time course of synaptic rewiring following a lesion, we represent the synapse as consisting of axonal (terminals/varicosities) and dendritic elements (spines). Independent development of both pre- and postsynaptic elements allows for modelling synapse formation, pruning and synaptic turnover as distinct processes. Model neurons increase and decrease axonal and dendritic elements in an activity-dependent fashion. Hence, synaptic rewiring is subject to shifts in the excitation-inhibition equilibrium. We apply this model to recent experimental data from Keck et al.  on cortical remapping following focal retinal lesion. The model could also be applied to somatosensory deafferentation. In this study we demonstrate that maintaining network homeostatis and rebalancing deafferented neurons by synaptic rewiring can result in post-lesion cortical remapping. Thus, the model bridges the gap between activity-dependent morphological changes on the neuronal level and a changing connectivity of cortical maps on an anatomical level. These theoretical results could have large consequences for neurological rehabilitation after stroke.
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