Journal of Neural EngineeringNeurosciencePeer-reviewed journal article
How to design optimal brain stimulation to modulate phase-amplitude coupling?
Abstract
ObjectivePhase-amplitude coupling (PAC), the coupling of the amplitude of a faster brain rhythm to the phase of a slower brain rhythm, plays a significant role in brain activity and has been implicated in various neurological disorders. For example, in Parkinsons disease, PAC between the beta (13-30 Hz) and gamma (50-200 Hz) rhythms in the motor cortex is exaggerated, while in Alzheimers disease, PAC between the theta (4-8 Hz) and gamma rhythms is diminished. Modulating PAC (i.e. reducing or enhancing PAC) using brain stimulation could therefore open new therapeutic avenues. However, while it has been previously reported that phase-locked stimulation can increase PAC, it is unclear what the optimal stimulation strategy to modulate PAC might be. Here, we provide a theoretical framework to narrow down the experimental optimisation of stimulation aimed at modulating PAC, which would otherwise rely on trial and error. ApproachWe make analytical predictions using a Stuart-Landau model, and confirm these predictions in a more realistic model of coupled neural populations. Main resultsOur framework specifies the critical Fourier coefficients of the stimulation waveform which should be tuned to optimally modulate PAC. Depending on the characteristics of the amplitude response curve of the fast population, these components may include the slow frequency, the fast frequency, combinations of these, as well as their harmonics. We also show that the optimal balance of energy between these Fourier components depends on the relative strength of the endogenous slow and fast rhythms, and that the alignment of fast components with the fast rhythm should change throughout the slow cycle. Furthermore, we identify the conditions requiring to phase-lock stimulation to the fast and/or slow rhythms. SignificanceTogether, our theoretical framework lays the foundation for guiding the development of innovative and more effective brain stimulation aimed at modulating PAC for therapeutic benefit.
- Citations
- 8
- FWCI
- 1.94
- Field percentile
- top 15%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Phase-dependent suppression of beta oscillations in Parkinson’s disease patients
Abbey B. Holt, Eszter Kormann, … Andrew Sharott·Journal of NeurosciencePeer-reviewed·Dec 14, 2018
- Response of neuronal populations to phase-locked stimulation: model-based predictions and validation
Nima Mirkhani, Colin G. McNamara, … Rafał Bogacz·Journal of NeurosciencePeer-reviewed·Mar 11, 2025
- Phase-Dependent Stimulation of the Hippocampus: A Computational Modeling Approach
Hsin-Pei Lee, Toren Arginteanu, … Yousef Salimpour·bioRxiv·Sep 14, 2024
- Phase-dependent closed-loop modulation of neural oscillations in vivo
Colin G. McNamara, Max Rothwell, Andrew Sharott·bioRxiv·May 21, 2020
- Repetitive Transcranial Magnetic Stimulation Increases Phase-Amplitude Coupling
Chie Nakatani, Caitlin R. Mullin, … Cees van Leeuwen·bioRxiv·May 4, 2017
- Deep brain stimulation pulse sequences to optimally modulate frequency-specific neural activity
H. Farooqi, J. L. Vitek, D. Escobar Sanabria·bioRxiv·Mar 12, 2022