Replay of hippocampal neural representations during sleep is thought to promote systems consolidation of declarative memory. How this reprocessing of memory during sleep affects the hippocampal representation itself, is unclear. Here we tested hippocampal stimulus processing (i.e., pattern separation) before and after periods of sleep and wakefulness in humans (female and male participants). Pattern separation deteriorated across the wake period but remained stable across sleep ( = 0.013) with this sleep-wake difference being most pronounced for stimuli with low similarity to targets ( = 0.006). Stimuli with the highest similarity showed a reversed pattern with reduced pattern separation performance after sleep ( = 0.038). Pattern separation performance was positively correlated with sleep spindle density, slow oscillation density, and theta power phase-locked to slow oscillations. Sleep, presumably by neural memory replay, shapes hippocampal representations and enhances computations of pattern separation to subsequent presentation of similar stimuli. The consolidation of hippocampus-dependent memories is causally related to reactivation during sleep of previously encoded representations. Here, we show that reactivation-based consolidation processes during sleep shape the hippocampal representation itself. We studied the effect of sleep and wakefulness on pattern separation (i.e., orthogonalization of similar representations) and completion performance (i.e., recall of a memory in light of noisy input) that are essential cognitive elements of encoding and retrieval of information by the hippocampus. Our results demonstrate that pattern separation was stabilized after sleep but diminished after wakefulness. We further showed that pattern separation was related to EEG oscillatory parameters of non-REM sleep serving as markers of sleep-dependent memory consolidation and hippocampal reactivation.
Day‐to‐day life involves the perception of events that resemble one another. For the sufficient encoding and retrieval of similar information, the hippocampus provides two essential computational processes. Pattern separation refers to the differentiation of overlapping memory representations, whereas pattern completion reactivates memories based on noisy or degraded input. Evidence from human and rodent studies suggest that pattern separation specifically relies on neuronal ensemble activity in hippocampal subnetworks in the dentate gyrus and CA3. Although a role for CA1 in pattern separation has been shown in animal models, its contribution in the human hippocampus remains elusive. In order to elucidate the contribution of CA1 neurons to pattern separation, we examined 14 patients with an acute transient global amnesia (TGA), a rare self‐limiting dysfunction of the hippocampal system showing specific lesions to CA1. Patients' pattern separation performance was tested during the acute amnestic phase and follow‐up using an established mnemonic similarity test. Patients in the acute phase showed a profound deficit in pattern separation (p < .05) as well as recognition memory (p < .001) that recovered during follow‐up. Specifically, patients tested in a later stage of the amnesia were less impaired in pattern separation than in recognition memory. Considering the time dependency of lesion‐associated hippocampal deficits in early and late acute stages of the TGA, we showed that the pattern separation function recovered significantly earlier than recognition memory. Our results provide causal evidence that hippocampal CA1 neurons are critical to pattern separation performance in humans.
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