Asymmetry in synaptic connectivity balances redundancy and reachability in theC. elegansconnectome

Abstract

AbstractThe brain is overall bilaterally symmetrical, but exhibits also considerable asymmetry. While symmetry may endow neural networks with robustness and resilience, asymmetry may enable parallel information processing and functional specialization. How is this functional tradeoff between symmetrical and asymmetrical brain architecture balanced? To address this, we focused on theC. elegansconnectome, which comprises 99 classes of bilaterally symmetrical neuron pairs. We found symmetry in the number of synaptic partners between neuron class members, but pronounced asymmetry in the identity of these synapses. We developed graph theoretical metrics for evaluating Redundancy, the selective reinforcement of specific neural paths by multiple alternative synaptic connections, and Reachability, the extent of synaptic connectivity of each neuron class. We found Redundancy and Reachability to be stochastically tunable by the level of network asymmetry, driving theC. elegansconnectome to favor Redundancy over Reachability. These results elucidate fundamental relations between lateralized neural connectivity and function.