The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.
The Episodic Memory System: Neurocircuitry and Disorders
Open accessAbstract
The ability to encode and retrieve our daily personal experiences, called episodic memory, is supported by the circuitry of the medial temporal lobe (MTL), including the hippocampus, which interacts extensively with a number of specific distributed cortical and subcortical structures. In both animals and humans, evidence from anatomical, neuropsychological, and physiological studies indicates that cortical components of this system have key functions in several aspects of perception and cognition, whereas the MTL structures mediate the organization and persistence of the network of memories whose details are stored in those cortical areas. Structures within the MTL, and particularly the hippocampus, have distinct functions in combining information from multiple cortical streams, supporting our ability to encode and retrieve details of events that compose episodic memories. Conversely, selective damage in the hippocampus, MTL, and other structures of the large-scale memory system, or deterioration of these areas in several diseases and disorders, compromises episodic memory. A growing body of evidence is converging on a functional organization of the cortical, subcortical, and MTL structures that support the fundamental features of episodic memory in humans and animals.
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Metadata
- Authors
- Dickerson, B. C., & Eichenbaum, H.
- Venue
- Neuropsychopharmacology
- Published
- 2009-09-23
- Volume
- 35
- Issue
- 1
- Pages
- 86-104
- ISSN
- 0893-133X (ISSN-L)
- 1740-634X
- OpenAlex
- W2129902706
- Cited by
- 657
- References
- 158
- FWCI
- 9.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.springer.com/tdm (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
