Sleep processes are associated with several critical processes supporting the cellular integrity of neurons and neuronal mechanisms associated with learning and synaptic modifications giving face validity to this approach. (Steriade, 1999; Tononi and Cirelli, 2012). For example, studies in healthy volunteers (Huber et al. 2004) have provided evidence that local spindle density changes are associated with learning of specific information over sleep periods and can be topographically related to cortical populations engaged by the wakeful learning process. Additional evidence indicates that recovery of spindles within the electrical architecture of sleep is more associated with recovery of motor function in stroke (Gottselig, 2002). Collectively, although only a limited number of studies exist there is a biological basis for improvement in sleep architecture to potentially drive recovery and reorganization of brain networks organizing wakeful behavior.