Modification of scale-free electrophysiological activity induced by changes in excitatory-inhibitory balance is governed by the dynamics of multiple oscillatory relaxation processes
Suresh Muthukumaraswamy, David T. J. Liley
bioRxiv (Cold Spring Harbor Laboratory) October 16, 2017 preprint DOI: 10.1101/203786 via OpenAlex
Summary
The arhythmical, scale-free brain activity (1/f β) that dominates neurophysiological recordings is dynamically linked to oscillatory alpha rhythms and is systematically modulated by excitation-inhibition balance. Using IRASA to separate arhythmical from oscillatory activity, the authors show that alpha power correlates over time with the high-frequency power-law exponent βhf, and participants with higher alpha power also have higher βhf. Pharmacological manipulations with tiagabine, perampanel, ketamine, and LSD in MEG, and propofol and ketamine in monkey ECoG, reveal consistent effects of excitation-inhibition balance on both high- and low-frequency β exponents.
Study at a glance
| Characteristics | Observational and experimental |
|---|---|
| Interventions | tiagabine perampanel ketamine LSD propofol |
| Keywords | Neuroscience Electrophysiology Inhibitory postsynaptic potential Electroencephalography Chemistry |
| Citations | 1 |
| Key finding | Arhythmical brain activity (1/f β) dynamically correlates with oscillatory alpha power and is systematically modulated by excitation-inhibition balance via pharmacological agents and anaesthesia. |
Abstract
Abstract Neurophysiological recordings are dominated by arhythmical activity whose spectra can be characterised by power-law functions, and on this basis are often referred to as reflecting scale-free brain dynamics (1/ f β ). Relatively little is known regarding the neural generators and temporal dynamics of this arhythmical behaviour compared to rhythmical behaviour. Here we used Irregularly Resampled AutoSpectral Analysis (IRASA) to quantify β , in both the high (5-100 Hz, β hf ) and low frequency bands (0.1-2.5 Hz, β lf in EEG/MEG/ECoG recordings and to separate arhythmical from oscillatory modes of activity, such as, alpha rhythms. In MEG/EEG/ECoG data, we demonstrate that oscillatory alpha power dynamically correlates over time with β hf and similarly, participants with higher rhythmical alpha power have higher β hf ). In a series of MEG investigations using the GABA reuptake inhibitor tiagabine, the glutamatergic AMPA receptor antagonist perampanel, the NMDA receptor antagonist ketamine and the mixed partial serotonergic agonist LSD we reveal systematic effects of excitation-inhibition balance on both β hf and β lf . Additionally, strong modulations of β hf are seen in monkey ECoG data during general anaesthesia using propofol and ketamine. Surrogate data analysis demonstrates that arhythmical activity is generated by both linear and non-linear schemes, with non-linear effects emerging at critical boundaries. We develop and test a unifying model which can explain, the 1/f nature of electrophysiological spectra, their dynamic interaction with oscillatory rhythms as well as the sensitivity of 1/f activity to excitation-inhibition balance by considering electrophysiological spectra as being generated by a collection of stochastically perturbed damped oscillators having a distribution of relaxation rates.