Functional excitation-inhibition ratio indicates near-critical oscillations across frequencies.

The concept of excitation/inhibition (E/I) balance plays an important role in understanding brain function in health and disease. We recently introduced an algorithm to determine a functional E/I ratio based on the critical brain dynamics that emerge in neuronal networks balancing between order and disorder. Little, however, is known about the frequency specificity of E/I regulation and how to measure it. Here, we optimized the algorithm for measuring functional excitation-inhibition ratio () in narrow frequency ranges and validated it on a computational model of critical oscillations and EEG data. In the computational model, we confirmed thatdiscriminated E/I connectivity differences across a wide range of frequencies (1-150 Hz). Twin EEG data revealed significant genetic influences onacross frequencies, whereas contrasting eyes-open and -closed EEG indicated functional changes ofrestricted to a subset of alpha and beta oscillations and brain regions. We propose that assessingwith finer frequency resolution will prove useful for understanding the functional role of E/I regulation in a spectrally refined fashion in health and disease.