Neuronal functional connectivity among multiple areas of the rat somatosensory system during spontaneous and evoked activities

Abstract: Small-World Networks (SWNs) represent a fundamental model for the comprehension of many complex man-made and biological networks. In the central nervous system, SWN models have been shown to fit well both anatomical and functional maps at the macroscopic level. However the functional microscopic level, where the nodes of a network are composed of single neurons, is still poorly understood. At this level, although recent evidences suggest that functional connectivity maps exhibit small-world organization, it is not known whether and how these maps, distributed in multiple brain regions, change across different conditions. We addressed these questions by simultaneous multi-array extracellular recordings in three brain regions diversely involved in somatosensory information processing: the ventropostero-lateral thalamic nuclei (VPL), the primary somatosensory cortex (S1) and the centro-median thalamic nuclei (CM). From both spike and Local Field Potential (LFP) recordings, we estimated the functional connectivity maps by using the Normalized Compression Similarity (spikes) and the Phase Synchrony (LFPs). Then, by using graph-theoretical statistics, we characterized the functional map topology both during spontaneous activity and sensory stimulation. Our main results show that: (i) spikes and LFPs show SWN organization during spontaneous activity; (ii) After stimulation onset, while substantial functional map reconfigurations occur both in spike and LFPs, small-worldness is nonetheless preserved (iii) The stimulus triggers a significant increase of inter-area LFP connections without modifying the topology of intra-area functional connections; (iv) Through computer simulations of the fundamental concept of cell assemblies, transient groups of activating neurons can be described by small-world networks.