ArticleFrontiers in computational neuroscience2015
Phase-dependent modulation as a novel approach for therapeutic brain stimulation.
Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Parkinson's disease uncovers an underlying sensitivity of subthalamic nucleus neurons to beta-frequency cortical input in vivo.Neurobiology of disease · 2020Article
- Perspective: Phase Amplitude Coupling-Based Phase-Dependent Neuromodulation in Parkinson's Disease.Frontiers in neuroscience · 2020Article
- Neural Circuit and Clinical Insights from Intraoperative Recordings During Deep Brain Stimulation Surgery.Brain sciences · 2019Article
- Phase-Dependent Suppression of Beta Oscillations in Parkinson's Disease Patients.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Bayesian adaptive dual control of deep brain stimulation in a computational model of Parkinson's disease.PLoS computational biology · 2018Article
- An update on adaptive deep brain stimulation in Parkinson's disease.Movement disorders : official journal of the Movement Disorder Society · 2018Review
- Greater accuracy and broadened applicability of phase reduction using isostable coordinates.Journal of mathematical biology · 2018Article
- Phasic Burst Stimulation: A Closed-Loop Approach to Tuning Deep Brain Stimulation Parameters for Parkinson's Disease.PLoS computational biology · 2016Article
- Adaptive deep brain stimulation in Parkinson's disease.Parkinsonism & related disorders · 2016Review
- Dynamic network communication as a unifying neural basis for cognition, development, aging, and disease.Biological psychiatry · 2015Review
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Closed-loop paradigms provide us with the opportunity to optimize stimulation protocols for perturbation of pathological oscillatory activity in brain-related disorders. In this vein, spiking activity of motor cortex neurons and beta activity of local field potentials in the subthalamic nucleus have both been used independently of each other as neuronal signals to trigger deep brain stimulation for alleviating Parkinsonism. These approaches were superior to the standard continuous high-frequency stimulation protocols used in daily practice. However, they achieved their effects by bursts of stimulation that were applied at high-frequency as well, i.e., independent of the phase information in the stimulated region. In this context, we propose that, by timing stimulation pulses relative to the ongoing oscillation, an alternative approach, namely the targeted perturbation of pathological rhythms, could be obtained. In this modeling study, we first captured the underlying dynamics of neuronal oscillations in the human subthalamic nucleus by phased coupled neuronal oscillators. We then quantified the nature of the interaction between these coupled oscillators by obtaining a physiologically informed phase response curve from local field potentials. Reconstruction of the phase response curve predicted the sensitivity of the phase oscillator to external stimuli, revealing phase intervals that optimally maximized the degree of perturbation. We conclude that our specifically timed intervention based on the coupled oscillator concept will enable us to identify personalized ways of delivering stimulation pulses in closed-loop paradigms triggered by the phase of pathological oscillations. This will pave the way for novel physiological insights and substantial clinical benefits. In addition, this precisely phased modulation may be capable of modifying the effective interactions between oscillators in an entirely new manner.
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