Human brain signals follow the exact same mathematical patterns as the sounds of materials about to fracture.
March 31, 2026
Original Paper
Deep brain microelectrode signal: $q$-statistical approach
arXiv · 2603.27322
The Takeaway
By analyzing deep-brain signals from Parkinson’s patients, scientists found that brain activity fluctuates using the same 'critical' math found in cracking glass or growing networks. This suggests the brain naturally operates on the edge of a breakdown, which might be key to how it processes information so efficiently.
From the abstract
We characterize the amplitude statistics of intraoperative microelectrode recordings (MERs) obtained during deep brain stimulation (DBS) surgery in 46 patients with Parkinson's disease, using 184 recordings equally balanced between inside and outside the subthalamic nucleus (STN). The probability density of every recording is quantitatively well described by a $q$-Gaussian (grounded on a nonadditive entropic functional), $\rho(x) \propto [1 + \beta(q-1) x^2]^{-1/(q-1)}$, with $q > 1$ in all case