scholarly journals Case Report: Chronic Adaptive Deep Brain Stimulation Personalizing Therapy Based on Parkinsonian State

2021 ◽  
Vol 15 ◽  
Author(s):  
Asuka Nakajima ◽  
Yasushi Shimo ◽  
Atsuhito Fuse ◽  
Joji Tokugawa ◽  
Makoto Hishii ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Field Potential ◽  
Neural Oscillations ◽  
Target Structure ◽  
New Device ◽  
Stimulation Method ◽  
Local Field Potential Lfp ◽  
Beta Oscillation ◽  
Deep Brain

We describe the case of a 51-year-old man with Parkinson's disease (PD) presenting with motor fluctuations, who received bilateral subthalamic deep brain stimulation (DBS) with an adaptive DBS (aDBS) device, Percept™ PC (Medtronic, Inc. , Minneapolis, MN). This device can deliver electrical stimulations based on fluctuations of neural oscillations of the local field potential (LFP) at the target structure. We observed that the LFP fluctuations were less evident inside the hospital than outside, while the stimulation successfully adapted to beta oscillation fluctuations during the aDBS phase without any stimulation-induced side effects. Thus, this new device facilitates condition-dependent stimulation; this new stimulation method is feasible and provides new insights into the pathophysiological mechanisms of PD.

scholarly journals Phase-Dependent Deep Brain Stimulation: A Review

2021 ◽  
Vol 11 (4) ◽  
pp. 414
Author(s):  
Lekshmy Sudha Kumari ◽  
Abbas Z. Kouzani
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Closed Loop ◽  
Field Potential ◽  
Neural Oscillations ◽  
Oscillation Phase ◽  
Frequency Bands ◽  
Brain Functions ◽  
The Brain ◽  
Deep Brain

Neural oscillations are repetitive patterns of neural activity in the central nervous systems. Oscillations of the neurons in different frequency bands are evident in electroencephalograms and local field potential measurements. These oscillations are understood to be one of the key mechanisms for carrying out normal functioning of the brain. Abnormality in any of these frequency bands of oscillations can lead to impairments in different cognitive and memory functions leading to different pathological conditions of the nervous system. However, the exact role of these neural oscillations in establishing various brain functions and the brain pathologies are still under investigation. Closed loop deep brain stimulation paradigms with neural oscillations as biomarkers could be used as a mechanism to understand the function of these oscillations. For making use of the neural oscillations as biomarkers to manipulate the frequency band of the oscillation, phase of the oscillation, and stimulation signal are of importance. This paper reviews recent trends in deep brain stimulation systems and their non-invasive counterparts, in the use of phase specific stimulation to manipulate individual neural oscillations. In particular, the paper reviews the methods adopted in different brain stimulation systems and devices for stimulating at a definite phase to further optimize closed loop brain stimulation strategies.

scholarly journals A Network Model of Local Field Potential Activity in Essential Tremor and the Impact of Deep Brain Stimulation

2017 ◽  
Vol 13 (1) ◽  
pp. e1005326 ◽  
Author(s):  
Nada Yousif ◽  
Michael Mace ◽  
Nicola Pavese ◽  
Roman Borisyuk ◽  
Dipankar Nandi ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Essential Tremor ◽  
Network Model ◽  
Local Field ◽  
Brain Stimulation ◽  
Local Field Potential ◽  
Field Potential ◽  
Potential Activity ◽  
The Impact ◽  
Deep Brain

Effects of bilateral deep brain stimulation in the subthalamic nucleus using two methods of target structure verification

2017 ◽  
Vol 117 (11) ◽  
pp. 24
Author(s):  
N. N. Goubareva ◽  
N. V. Fedorova ◽  
E. V. Bril' ◽  
A. A. Tomskiy ◽  
A. A. Gamaleya ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Subthalamic Nucleus ◽  
Brain Stimulation ◽  
Target Structure ◽  
Deep Brain

Sensing-enabled hippocampal deep brain stimulation in idiopathic nonhuman primate epilepsy

2015 ◽  
Vol 113 (4) ◽  
pp. 1051-1062 ◽  
Author(s):  
W. J. Lipski ◽  
V. J. DeStefino ◽  
S. R. Stanslaski ◽  
A. R. Antony ◽  
D. J. Crammond ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Nonhuman Primate ◽  
Right Hemisphere ◽  
Brain Activity ◽  
Field Potential ◽  
Idiopathic Epilepsy ◽  
Promising Alternative ◽  
Electrical Brain Activity ◽  
Deep Brain

Epilepsy is a debilitating condition affecting 1% of the population worldwide. Medications fail to control seizures in at least 30% of patients, and deep brain stimulation (DBS) is a promising alternative treatment. A modified clinical DBS hardware platform was recently described (PC+S) allowing long-term recording of electrical brain activity such that effects of DBS on neural networks can be examined. This study reports the first use of this device to characterize idiopathic epilepsy and assess the effects of stimulation in a nonhuman primate (NHP). Clinical DBS electrodes were implanted in the hippocampus of an epileptic NHP bilaterally, and baseline local field potential (LFP) recordings were collected for seizure characterization with the PC+S. Real-time automatic detection of ictal events was demonstrated and validated by concurrent visual observation of seizure behavior. Seizures consisted of large-amplitude 8- to 25-Hz oscillations originating from the right hemisphere and quickly generalizing, with an average occurrence of 0.71 ± 0.15 seizures/day. Various stimulation parameters resulted in suppression of LFP activity or in seizure induction during stimulation under ketamine anesthesia. Chronic stimulation in the awake animal was studied to evaluate how seizure activity was affected by stimulation configurations that suppressed broadband LFPs in acute experiments. This is the first electrophysiological characterization of epilepsy using a next-generation clinical DBS system that offers the ability to record and analyze neural signals from a chronically implanted stimulating electrode. These results will direct further development of this technology and ultimately provide insight into therapeutic mechanisms of DBS for epilepsy.

scholarly journals Stimulation related artifacts and a multipurpose template-based offline removal solution for a novel sensing-enabled deep brain stimulation device

2021 ◽  
Author(s):  
Lauren H Hammer ◽  
Ryan B Kochanski ◽  
Philip A Starr ◽  
Simon Little
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Field Potential ◽  
Low Frequency ◽  
Clinical Settings ◽  
Multiple Sources ◽  
Beta Band ◽  
Neural Signals ◽  
Value Decomposition ◽  
Deep Brain

AbstractBackgroundThe Medtronic “Percept” is the first FDA approved deep brain stimulation (DBS) device with sensing capabilities during active stimulation. Its real-world signal recording properties have yet to be fully described.ObjectiveThis study details sources of artifact (and potential mitigations) in local field potential (LFP) signals collected by the Percept, and assesses the potential impact of artifact on the future development of adaptive DBS (aDBS) using this device.MethodsLFP signals were collected from seven subjects in both experimental and clinical settings. The presence of artifacts and their effect on the spectral content of neural signals were evaluated in both the stimulation ON and OFF states using three distinct offline artifact removal techniques.ResultsTemplate subtraction successfully removed multiple sources of artifact, including 1) electrocardiogram (ECG), 2) non-physiologic polyphasic artifacts, and 3) ramping related artifacts seen when changing stimulation amplitudes. ECG removal from stimulation ON (at 0 mA) signals recovered the spectral shape seen when OFF stimulation (averaged difference in normalized power in theta, alpha, and beta bands ≤ 3.5%). ECG removal using singular value decomposition was similarly successful, though required subjective researcher input. QRS interpolation produced similar recovery of beta-band signal, but resulted in residual low-frequency artifact.ConclusionsArtifacts present when stimulation is enabled notably affected the spectral properties of sensed signals using the Percept. Multiple discrete artifacts could be successfully removed offline using an automated template subtraction method. The presence of unrejected artifact likely influences online power estimates, with the potential to affect aDBS algorithm performance.

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