Sleep before learning benefits memory encoding through unknown mechanisms. We found that even a mild sleep disruption that suppressed slow-wave activity and induced shallow sleep, but did not reduce total sleep time, was sufficient to affect subsequent successful encoding-related hippocampal activation and memory performance in healthy human subjects. Implicit learning was not affected. Our results suggest that the hippocampus is particularly sensitive to shallow, but intact, sleep.

Background and Aim: The role of sleep in the enhancement of motor skills has been studied extensively in adults. We aimed to determine involvement of sleep and characteristics of spindles and slow waves in a motor skill in children.Hypothesis: We hypothesized sleep-dependence of skill enhancement and an association of interindividual differences in skill and sleep characteristics.Methods: 30 children (19 females, 10.7 ± 0.8 years of age; mean ± SD) performed finger sequence tapping tasks in a repeated-measures design spanning 4 days including 1 polysomnography (PSG) night. Initial and delayed performance were assessed over 12 h of wake; 12 h with sleep; and 24 h with wake and sleep. For the 12 h with sleep, children were assigned to one of three conditions: modulation of slow waves and spindles was attempted using acoustic perturbation, and compared to yoked and no-sound control conditions.Analyses: Mixed effect regression models evaluated the association of sleep, its macrostructure and spindles and slow wave parameters with initial and delayed speed and accuracy.Results and Conclusions: Children enhance their accuracy only over an interval with sleep. Unlike previously reported in adults, children enhance their speed independent of sleep, a capacity that may to be lost in adulthood. Individual differences in the dominant frequency of spindles and slow waves were predictive for performance: children performed better if they had less slow spindles, more fast spindles and faster slow waves. On the other hand, overnight enhancement of accuracy was most pronounced in children with more slow spindles and slower slow waves, i.e., the ones with an initial lower performance. Associations of spindle and slow wave characteristics with initial performance may confound interpretation of their involvement in overnight enhancement. Slower frequencies of characteristic sleep events may mark slower learning and immaturity of networks involved in motor skills.

In Huntington's diseased human brain, it is in the caudate nucleus (CN) and globus pallidus (GP) of the basal ganglia where nerve cell death is seen most dramatically. The distribution of five gap junction proteins (connexins 26, 32, 40, 43 and 50) has been examined in these areas in normal and Huntington's diseased human brain using immunohistochemical techniques. There was no Cx50 expression observed and Cx40 was localized in the endothelial cells of blood vessels, with the Huntington's diseased brains having more numerous and smaller blood vessels than normal tissue. Cx26 and Cx32 revealed a similar distribution pattern to each other in both normal and diseased brains with little labelling in the CN but clear labelling in the GP. Cx43, expressed by astrocytes, was the most abundant connexin type of those studied. In both normal and diseased brains Cx43 in the GP was homogeneously distributed in the neuropil. In the CN, however, Cx43 density was both increased with Huntington's disease and became located in patches. Glial fibrillary acidic protein(GFAP) staining of astrocytes was also highly increased in the CN compared with normal brains. These labelling patterns indicate a reactive astrocytosis around degenerating neurons with an increased expression of astrocytic gap junctions. The enhanced coupling state between astrocytes, assuming the junctions are functional, could provide an increased spatial buffering capacity by the astrocytes in an attempt to maintain a proper environment for the neurons, helping promote neuronal survival in this neurodegenerative disorder.