A Network Convergence Zone in the Hippocampus
Bratislav Mišić; Joaquín Goñi; Richard F. Betzel; Olaf Sporns; Anthony R. McIntosh · 2014 · PLoS Computational Biology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
The finding, in one line
“However, recent quantitative graph-theoretic analyses of the static large-scale connectome have failed to demonstrate the centrality of the hippocampus; in the context of the whole brain, the hippocampus is not among the most connected or reachable nodes.”
Abstract
The hippocampal formation is a key structure for memory function in the brain. The functional anatomy of the brain suggests that the hippocampus may be a convergence zone, as it receives polysensory input from distributed association areas throughout the neocortex. However, recent quantitative graph-theoretic analyses of the static large-scale connectome have failed to demonstrate the centrality of the hippocampus; in the context of the whole brain, the hippocampus is not among the most connected or reachable nodes. Here we show that when communication dynamics are taken into account, the hipp
Abstract by Bratislav Mišić; Joaquín Goñi; Richard F. Betzel; Olaf Sporns; Anthony R. McIntosh, PLoS Computational Biology (2014) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1371/journal.pcbi.1003982