From single-neuron dynamics to higher-order circuit motifs in control and pathological brain networks.

ABSTRACT: The convergence of advanced single-cell in vivo functional imaging techniques, computational modelling tools and graph-based network analytics has heralded new opportunities to study single-cell dynamics across large-scale networks, providing novel insights into principles of brain communication and pointing towards potential new strategies for treating neurological disorders. A major recent finding has been the identification of unusually richly connected hub cells that have capacity to synchronize networks and may also be critical in network dysfunction. While hub neurons are traditionally defined by measures that consider solely the number and strength of connections, novel higher-order graph analytics now enables the mining of massive networks for repeating subgraph patterns called mot

SUBMITTER: Hadjiabadi D 

PROVIDER: S-EPMC10655857 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature