2026-10-12T03:22:26Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33816582 2026-09-15T18:18:12Z category_15 category_16 category_734 category_122 portal_5 item_type_3 month_year_09_2026

<p>Neuronal system parameters.</p> Gourab Kumar Sar (19922349) Andrew Patton (10224161) Emma Towlson (4059349) Jörn Davidsen (6274100) Neuroscience Physiology Biological Sciences not elsewhere classified Mental Health neural processing generates electrical synapses play div >< p compact nervous system multiple functional communities identify functional communities distinct functional communities determining functional communities reconfigured across behaviors distributed circuits elicits certain sensory circuits behavioral circuits shows caenorhabditis elegans </ functional neuronal connectivity functionally segregated circuits complete structural connectome certain behaviors elegans </ functional connectivity segregated circuits behavioral patterns silico </ largely segregated structural connectivity locomotion circuits well suited synchronized response structural connectome stronger among results demonstrate others report others emerge one circuit large repertoire eventually result encodes behavior enabling us critical role biological behavior also observe allowing us <div><p>A central question in neuroscience is how neural processing generates or encodes behavior. <i>Caenorhabditis elegans</i> is well suited to addressing this question, given its compact nervous system and near-complete structural connectome. Despite this, findings from previous studies remain inconclusive. While some have shown that the connectome can robustly encode specific behaviors such as locomotion, others report that functional connectivity can be reconfigured across behaviors. We aim to understand the relationship between structural connectivity, functional connectivity and biological behavior <i>in silico</i> by using an experimentally motivated computational model leveraging the structural connectome. Stimulation of specific neurons in the model induces oscillatory neural responses, enabling us to infer neuronal functional connectivity. Functional connectivity is found to be stronger among some neurons, allowing us to identify functional communities. We find that electrical synapses play a critical role in determining functional communities, and the resulting mesoscale functional architecture is predominantly gap junctionally assortative. Furthermore, comparison with behavioral circuits shows that locomotion circuits are largely segregated into distinct functional communities while other circuits are more distributed across multiple functional communities. We also observe that stimulation of neurons belonging to these distributed circuits elicits a more synchronized neuronal response compared to stimulation of neurons within the more segregated circuits. This is consistent with the presence of behavioral patterns that originate in one circuit and terminate in another (e.g., chemosensation leading to locomotion), such that stimulation of one circuit can activate the other and eventually result in a synchronized response. We also find a large repertoire of chimera-like synchronization patterns upon stimulation of certain sensory circuits (chemosensation, mechanosensation) indicating high dynamical flexibility. Overall, our results demonstrate that while certain behaviors are governed by functionally segregated circuits, others emerge from the synchronization of multiple functional communities, which are, to begin with, influenced by the underlying structural connectivity.</p></div> 2026-09-15T18:07:35Z Dataset Dataset 10.1371/journal.pcbi.1014152.t002 https://figshare.com/articles/dataset/_p_Neuronal_system_parameters_p_/33816582 CC BY 4.0