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      Pulsatile desynchronizing delayed feedback for closed-loop deep brain stimulation

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          Abstract

          High-frequency (HF) deep brain stimulation (DBS) is the gold standard for the treatment of medically refractory movement disorders like Parkinson’s disease, essential tremor, and dystonia, with a significant potential for application to other neurological diseases. The standard setup of HF DBS utilizes an open-loop stimulation protocol, where a permanent HF electrical pulse train is administered to the brain target areas irrespectively of the ongoing neuronal dynamics. Recent experimental and clinical studies demonstrate that a closed-loop, adaptive DBS might be superior to the open-loop setup. We here combine the notion of the adaptive high-frequency stimulation approach, that aims at delivering stimulation adapted to the extent of appropriately detected biomarkers, with specifically desynchronizing stimulation protocols. To this end, we extend the delayed feedback stimulation methods, which are intrinsically closed-loop techniques and specifically designed to desynchronize abnormal neuronal synchronization, to pulsatile electrical brain stimulation. We show that permanent pulsatile high-frequency stimulation subjected to an amplitude modulation by linear or nonlinear delayed feedback methods can effectively and robustly desynchronize a STN-GPe network of model neurons and suggest this approach for desynchronizing closed-loop DBS.

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          Most cited references79

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          Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs.

          Activity-driven modifications in synaptic connections between neurons in the neocortex may occur during development and learning. In dual whole-cell voltage recordings from pyramidal neurons, the coincidence of postsynaptic action potentials (APs) and unitary excitatory postsynaptic potentials (EPSPs) was found to induce changes in EPSPs. Their average amplitudes were differentially up- or down-regulated, depending on the precise timing of postsynaptic APs relative to EPSPs. These observations suggest that APs propagating back into dendrites serve to modify single active synaptic connections, depending on the pattern of electrical activity in the pre- and postsynaptic neurons.
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            Dynamic predictions: oscillations and synchrony in top-down processing.

            Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is controlled by top-down influences that strongly shape the intrinsic dynamics of thalamocortical networks and constantly create predictions about forthcoming sensory events. We discuss recent experiments indicating that such predictions might be embodied in the temporal structure of both stimulus-evoked and ongoing activity, and that synchronous oscillations are particularly important in this process. Coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.
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              Large-scale recording of neuronal ensembles.

              How does the brain orchestrate perceptions, thoughts and actions from the spiking activity of its neurons? Early single-neuron recording research treated spike pattern variability as noise that needed to be averaged out to reveal the brain's representation of invariant input. Another view is that variability of spikes is centrally coordinated and that this brain-generated ensemble pattern in cortical structures is itself a potential source of cognition. Large-scale recordings from neuronal ensembles now offer the opportunity to test these competing theoretical frameworks. Currently, wire and micro-machined silicon electrode arrays can record from large numbers of neurons and monitor local neural circuits at work. Achieving the full potential of massively parallel neuronal recordings, however, will require further development of the neuron-electrode interface, automated and efficient spike-sorting algorithms for effective isolation and identification of single neurons, and new mathematical insights for the analysis of network properties.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2017
                8 March 2017
                : 12
                : 3
                : e0173363
                Affiliations
                [1 ]Institute of Neuroscience and Medicine - Neuromodulation, Jülich Research Center, Jülich, Germany
                [2 ]Institute of Physics and Astronomy, University of Potsdam, Potsdam-Golm, Germany
                [3 ]Department of Neurosurgery, Stanford University, Stanford, California, United States of America
                [4 ]Department of Neuromodulation, University of Cologne, Cologne, Germany
                Universidad Rey Juan Carlos, SPAIN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: OVP BL MR AP PAT.

                • Formal analysis: OVP BL.

                • Investigation: OVP BL.

                • Methodology: OVP BL.

                • Software: BL.

                • Writing – original draft: OVP BL MR AP PAT.

                Author information
                http://orcid.org/0000-0001-9994-1764
                Article
                PONE-D-16-38817
                10.1371/journal.pone.0173363
                5342235
                28273176
                baeb451e-ada2-41d0-98d9-6830caae8132
                © 2017 Popovych et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 September 2016
                : 20 February 2017
                Page count
                Figures: 13, Tables: 0, Pages: 29
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001656, Helmholtz-Gemeinschaft;
                The study was funded by the Helmholtz Society (OVP, BL, PAT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Neurons
                Biology and Life Sciences
                Neuroscience
                Cellular Neuroscience
                Neurons
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Functional Electrical Stimulation
                Medicine and Health Sciences
                Diagnostic Medicine
                Signs and Symptoms
                Myoclonus
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Signs and Symptoms
                Myoclonus
                Engineering and Technology
                Signal Processing
                Signal Filtering
                Engineering and Technology
                Signal Processing
                Medicine and Health Sciences
                Neurology
                Neurodegenerative Diseases
                Movement Disorders
                Parkinson Disease
                Research and Analysis Methods
                Bioassays and Physiological Analysis
                Electrophysiological Techniques
                Brain Electrophysiology
                Deep-Brain Stimulation
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Neurophysiology
                Brain Electrophysiology
                Deep-Brain Stimulation
                Medicine and Health Sciences
                Physiology
                Electrophysiology
                Neurophysiology
                Brain Electrophysiology
                Deep-Brain Stimulation
                Biology and Life Sciences
                Neuroscience
                Neurophysiology
                Brain Electrophysiology
                Deep-Brain Stimulation
                Biology and Life Sciences
                Neuroscience
                Brain Mapping
                Deep-Brain Stimulation
                Biology and Life Sciences
                Biochemistry
                Biomarkers
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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