Mnemonic convergence in the human hippocampus

Alexander R. Backus (), Sander E. Bosch (), Matthias Ekman, Alejandro Vicente Grabovetsky and Christian F. Doeller ()
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Alexander R. Backus: Radboud University, Donders Institute for Brain, Cognition and Behaviour
Sander E. Bosch: Radboud University, Donders Institute for Brain, Cognition and Behaviour
Matthias Ekman: Radboud University, Donders Institute for Brain, Cognition and Behaviour
Alejandro Vicente Grabovetsky: Radboud University, Donders Institute for Brain, Cognition and Behaviour
Christian F. Doeller: Radboud University, Donders Institute for Brain, Cognition and Behaviour

Nature Communications, 2016, vol. 7, issue 1, 1-9

Abstract: Abstract The ability to form associations between a multitude of events is the hallmark of episodic memory. Computational models have espoused the importance of the hippocampus as convergence zone, binding different aspects of an episode into a coherent representation, by integrating information from multiple brain regions. However, evidence for this long-held hypothesis is limited, since previous work has largely focused on representational and network properties of the hippocampus in isolation. Here we identify the hippocampus as mnemonic convergence zone, using a combination of multivariate pattern and graph-theoretical network analyses of functional magnetic resonance imaging data from humans performing an associative memory task. We observe overlap of conjunctive coding and hub-like network attributes in the hippocampus. These results provide evidence for mnemonic convergence in the hippocampus, underlying the integration of distributed information into episodic memory representations.

Date: 2016
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DOI: 10.1038/ncomms11991

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