Theta rhythm supports hippocampus-dependent integrative encoding in schematic/semantic memory networks

Integrating new information into existing schematic/semantic structures of knowledge is the basis of learning in our everyday life as it enables structured representation of information and goal-directed behaviour in an everchanging environment. However, how schematic/semantic mnemonic structures aid the integration of novel elements remains poorly understood. Here, we showed that the ability to integrate novel picture information into learned structures of picture associations that overlapped by the same picture scene (i.e., simple network) or by a conceptually related picture scene (i.e., schematic/semantic network) is hippocampus-dependent, as patients with lesions at the medial temporal lobe (including the hippocampus) were impaired in inferring novel relations between pictures within these memory networks. We also found more persistent and widespread scalp EEG theta oscillations (3-5 Hz) while participants integrated novel pictures into schematic/semantic memory networks than into simple networks. On the other hand, greater neural similarity was observed between EEG patterns elicited by novel and related events within simple networks than between novel and related events within schematic/semantic memory networks. These findings have important implications for our understanding of the neural mechanisms that support the development and organization of structures of knowledge.

Automated summary

Integrating new information into existing schematic/semantic structures of knowledge is essential for learning, and hippocampus plays a crucial role in this process. EEG theta oscillations and neural similarity differ when integrating novel pictures into simple networks versus schematic/semantic networks.