Specific patterns of neural activity in the hippocampus after massed or distributed spatial training

Abstract

AbstractTraining with long inter-session intervals, termeddistributed training, has long been known to be superior to training with short intervals, termedmassed training. In the present study we compared c-Fos expression after massed and distributed training protocols in the Morris water maze to outline possible differences in the learning-induced pattern of neural activation in the dorsalCA1 in the two training conditions.The results demonstrate that training and time lags between learning opportunities had an impact on the pattern of neuronal activity in the dorsalCA1. Mice trained with the distributed protocol showed sustained neuronal activity in the postero-septal component of the dorsalCA1. In parallel, in trained mice we found more active cells that tended to constitute spatially restricted clusters, whose degree increased with the increase in the time lags between learning trials. Moreover, activated cell assemblies demonstrated increased stability in their spatial organization after distributed as compared to massed training or control condition. Finally, using a machine learning algorithm we found that differences in the number of c-Fos positive cells and their location in the dorsalCA1 could be predictive of the training protocol used. These results suggest that the topographic organization and the spatial location of learning activated cell assemblies might be critical to promote the increased stability of the memory trace induced by distributed training.