Brain stimulationNeurosciencePeer-reviewed journal article
Real-time suppression and amplification of frequency-specific neural activity using stimulation evoked oscillations
David Escobar SanabriaiD, Luke A. JohnsoniD, Ying YuiD, Zachary Busby, Shane D. NebeckiD, Jianyu ZhangiD, Noam HareliD, Matthew D. JohnsoniD, Gregory F. MolnariD, Jerrold L. VitekiD
Abstract
BackgroundApproaches to predictably control neural oscillations are needed to understand their causal role in brain function in healthy or diseased states and to advance the development of neuromodulation therapies. In this study, we present a closed-loop neural control and optimization framework to actively suppress or amplify low-frequency neural oscillations observed in local field potentials in real-time by using electrical stimulation. Objective/HypothesisThe rationale behind this control approach and our working hypothesis is that neural oscillatory activity evoked by electrical pulses can suppress or amplify spontaneous oscillations via destructive or constructive interference when stimulation pulses are continuously delivered with appropriate amplitudes and at precise phases of these oscillations in a closed-loop scheme. MethodsWe tested our hypothesis in two nonhuman primates that exhibited a robust increase in low-frequency (8-30 Hz) oscillatory power in the subthalamic nucleus (STN) following administration of the neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). To test our neural control approach, we targeted 8-17 Hz oscillations and used electrode arrays and electrical stimulation waveforms similar to those used in humans chronically implanted with brain stimulation systems. Stimulation parameters that maximize the suppression or amplification of neural oscillations were predicted using mathematical models of the stimulation evoked oscillations. ResultsOur neural control and optimization approach was capable of actively and robustly suppressing or amplifying oscillations in the targeted frequency band (8-17 Hz) in real-time in the studied subjects. ConclusionsThe results from this study support our hypothesis and suggest that the proposed neural control framework allows one to characterize in controlled experiments the functional role of frequency-specific neural oscillations by using electrodes and stimulation waveforms currently being employed in humans.
- Citations
- 35
- FWCI
- 2.27
- Field percentile
- top 9%
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
- Deep brain stimulation pulse sequences to optimally modulate frequency-specific neural activity
H. Farooqi, J. L. Vitek, D. Escobar Sanabria·bioRxiv·Mar 12, 2022
- Phase-dependent closed-loop modulation of neural oscillations in vivo
Colin G. McNamara, Max Rothwell, Andrew Sharott·bioRxiv·May 21, 2020
- Stable modulation of neuronal oscillations produced through brain-machine equilibrium
Colin G. McNamara, Max Rothwell, Andrew Sharott·bioRxiv·Oct 14, 2021
- Phase-targeted Poisson closed-loop peripheral nerve stimulation modulates sensorimotor oscillations in human MEG
Stuart N. Baker, Boubker Zaaimi·bioRxiv·Oct 8, 2026
- Modulation of motor cortical theta and gamma oscillations using phase-targeted, closed-loop optogenetic stimulation of local excitatory and inhibitory neurons
Jessica Myatt, Robert A. Toth, … Andrew Sharott·Brain stimulationPeer-reviewed·Jan 23, 2026
- 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