ArticleBrain structure & function2016
Graph analysis of the anatomical network organization of the hippocampal formation and parahippocampal region in the rat.
Article in Brain structure & function, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Hippocampal-prefrontal functional neural networks in a rat model of fragile X syndrome are poorly organized with limited resiliency.Scientific reports · 2025Article
- Attenuated PINK1 autophosphorylation play neuroprotective and anti-seizure roles in neonatal hypoxia.Scientific reports · 2025Article
- Hunger, Satiety, and Their Vulnerabilities.Nutrients · 2024Review
- Neurodynamical Computing at the Information Boundaries of Intelligent Systems.Cognitive computation · 2024Article
- Rewiring of Memory Circuits: Connecting Adult Newborn Neurons With the Help of Microglia.Frontiers in cell and developmental biology · 2019Review
- Network supporting contextual fear learning after dorsal hippocampal damage has increased dependence on retrosplenial cortex.PLoS computational biology · 2018Article
- Shared Functions of Perirhinal and Parahippocampal Cortices: Implications for Cognitive Aging.Trends in neurosciences · 2018Review
- Characterization of the resting-state brain network topology in the 6-hydroxydopamine rat model of Parkinson's disease.PloS one · 2017Article
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5 authors.
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Abstract
Graph theory was used to analyze the anatomical network of the rat hippocampal formation and the parahippocampal region (van Strien et al., Nat Rev Neurosci 10(4):272-282, 2009). For this analysis, the full network was decomposed along the three anatomical axes, resulting in three networks that describe the connectivity within the rostrocaudal, dorsoventral and laminar dimensions. The rostrocaudal network had a connection density of 12% and a path length of 2.4. The dorsoventral network had a high cluster coefficient (0.53), a relatively high path length (1.62) and a rich club was identified. The modularity analysis revealed three modules in the dorsoventral network. The laminar network contained most information. The laminar dimension revealed a network with high clustering coefficient (0.47), a relatively high path length (2.11) and four significantly increased characteristic network building blocks (structural motifs). Thirteen rich club nodes were identified, almost all of them situated in the parahippocampal region. Six connector hubs were detected and all of them were located in the entorhinal cortex. Three large modules were revealed, indicating a close relationship between the perirhinal and postrhinal cortex as well as between the lateral and medial entorhinal cortex. These results confirmed the central position of the entorhinal cortex in the (para)hippocampal network and this possibly explains why pathology in this region has such profound impact on cognitive function, as seen in several brain diseases. The results also have implications for the idea of strict separation of the "spatial" and the "non-spatial" information stream into the hippocampus. This two-stream memory model suggests that the information influx from, respectively, the postrhinal-medial entorhinal cortex and the perirhinal-lateral entorhinal cortex is separate, but the current analysis shows that this apparent separation is not determined by anatomical constraints.
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