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Fig. 10 | Journal of NeuroEngineering and Rehabilitation

Fig. 10

From: Interaction of network and rehabilitation therapy parameters in defining recovery after stroke in a Bilateral Neural Network

Fig. 10

Comparison of different therapies under global and local plasticity conditions for chronic stroke model with lesion size of A 5, B 10, C 15, and D 20 nodes. Lesion is induced in the penultimate layer containing a total of 30 nodes. [Key for x-axis: Chronic Stroke (C), 10S (CIMT Stereotypic), 11S (BMT Stereotypic), 10E (CIMT Exploratory), 11E (BMT Exploratory)]. Similar to acute stroke models, chronic stroke models also show a preference to exploratory movements over stereotypic (p < 0.05 upon comparing mean RE for network after therapy with 11S vs 11E and 10S vs 10E, and p > 0.1 when comparing therapies within E therapy i.e., 10E vs 11E and within S therapy i.e., 10S vs 11S). However, under chronic condition, the network prefers global plasticity over local plasticity even for smaller lesion sizes (p < 0.05 for all lesion size for therapy 11E under local vs global plasticity condition and for therapy 10E under local vs global plasticity condition). This shows that, for the same lesion size, damage in the network is higher in the chronic condition than in the acute condition, hence needing more connections for recovery

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