In the first part of this work, simultaneous fMRI/EEG recordings were applied to analyze the functional connectivity of the hippocampus with the neocortex during human sleep. This provided relevant differentiation of sleep stage specific contributions to neural plasticity as proposed in models of sleep dependent memory consolidation. In the second part, more methodological aspects were addressed, evaluating the potential of a non-linear analysis method called recurrence quantification analysis (RQA) to extract rapidly changing dynamic features of EEG data, which may be used to better study fMRI models. According to the present results, RQA may be used as an additional tool to obtain new insights in neurophysiological and neuroanatomical correlates of stimulus habituation and novelty processing even in combined trial-by-trial functional fMRI/EEG experiments.
«
In the first part of this work, simultaneous fMRI/EEG recordings were applied to analyze the functional connectivity of the hippocampus with the neocortex during human sleep. This provided relevant differentiation of sleep stage specific contributions to neural plasticity as proposed in models of sleep dependent memory consolidation. In the second part, more methodological aspects were addressed, evaluating the potential of a non-linear analysis method called recurrence quantification analysis (...
»