Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.17.386615v1?rss=1 Authors: Miller, S. R., Pajevic, S., Yu, S., Plenz, D. Abstract: Ongoing neuronal activity in the brain establishes functional networks that reflect normal and pathological brain function. Most estimates of these functional networks suffer from low spatiotemporal resolution and indirect measures of neuronal population activity, limiting the accuracy and reliability in their reconstruction over time. Here, we studied the stability of neuronal avalanche dynamics and corresponding reconstructed functional networks in the adult brain. Using chronically implanted high-density microelectrode arrays, the local field potential (LFP) of resting state activity was recorded in prefrontal and premotor cortex of awake nonhuman primates. Avalanche dynamics revealed stable scaling exhibiting an inverted parabolic profile and collapse exponent of 2 in line with a critical branching process over many days and weeks. Functional networks were based on a Bayesian-derived estimator and demonstrated stable integrative properties characterized by non-trivial high neighborhood overlap between strongly connected nodes and robustness to weak link pruning. Entropy-based mixing analysis revealed significant changes in strong link weights over weeks. The long-term stability in avalanche scaling and integrative network organization in the face of individual link weight changes should support the development of non-invasive biomarkers to characterize normal and abnormal brain states in the adult brain. Copy rights belong to original authors. Visit the link for more info