147 Responsive Neurostimulation for Impulsivity: Evidence from a Mouse Model of Binge-eating Behavior

Neurosurgery ◽  
2017 ◽  
Vol 64 (CN_suppl_1) ◽  
pp. 235-235
Author(s):  
Hemmings Wu ◽  
Kai Joshua Miller ◽  
Zack Blumenfeld ◽  
Nolan Williams ◽  
Vinod Karthik Ravikumar ◽  
...  
Keyword(s):  
Food Reward ◽  
Multielectrode Arrays ◽  
Brain Disorders ◽  
Field Potentials ◽  
High Fat ◽  
Power Spectral ◽  
Interaction Test ◽  
Delta Oscillations ◽  
Potential Biomarkers ◽  
Deep Brain

Abstract INTRODUCTION Impulsivity is one of the most pervasive and disabling features common to many brain disorders. Heightened responsivity in the nucleus accumbens (NAc) during anticipation of rewarding stimuli predisposes to impulsivity. Electrophysiological correlates have been reported during brief windows of anticipation, which have potential to inform a novel therapeutic to deliver a time-sensitive intervention. But no available neuromodulaion therapy is capable of sensing and therapeutically responding to this vulnerable moment. The objectives of our research are: to identify biomarkers of anticipation of highly-reinforcing food reward in mouse NAc, to use these biomarkers to guide responsive neurostimulation (RNS) to suppress binge-like behavior, and to examine the effect of RNS on other behaviors, such as social interaction. METHODS Multielectrode arrays were implanted into the mouse NAc, and were put on a limited high-fat (HF) exposure protocol known to induce binge-like behavior. Power spectral density analyses of NAc local field potentials (LFPs) before HF intake were performed to identify electrophysiological biomarkers. Identical analyses were performed before house chow intake. RNS was triggered whenever potential biomarkers appeared, and reduction in HF intake induced by RNS was examined. RNS was applied during juvenile interaction test to assess behavioral specificity. RESULTS >Increased delta oscillations were observed immediately prior to HF intake after mice developed binge-like behavior, which was not detected immediately prior to chow intake. RNS utilizing delta power as biomarker significantly reduced HF intake. RNS showed no significant effect on juvenile interaction, while continuous deep brain stimulation (DBS) significantly reduced it. CONCLUSION Our findings demonstrate that NAc LFPs carry critical information relevant to reward anticipation, and have the potential to be used as an electrographic biomarker to guide RNS for neuropsychiatric disorders exhibiting impulsivity. Compared to continuous DBS, RNS has the advantage of targeting specific psychiatric symptom while potentially sparing other behaviors.

scholarly journals Chronic wireless streaming of invasive neural recordings at home for circuit discovery and adaptive stimulation

2020 ◽  
Author(s):  
Ro’ee Gilron ◽  
Simon Little ◽  
Randy Perrone ◽  
Robert Wilt ◽  
Coralie de Hemptinne ◽  
...  
Keyword(s):  
First Generation ◽  
Time Series Data ◽  
Clustering Algorithms ◽  
Series Data ◽  
Brain Disorders ◽  
Field Potentials ◽  
Neural Recordings ◽  
Human Use ◽  
Deep Brain ◽  
At Home

AbstractInvasive neural recording in humans shows promise for understanding the circuit basis of brain disorders. Most recordings have been done for short durations from externalized brain leads in hospital settings, or from first-generation implantable sensing devices that offer only intermittent brief streaming of time series data. Here we report the first human use of an implantable neural interface for wireless multichannel streaming of field potentials over long periods, with and without simultaneous therapeutic neurostimulation, untethered to receiving devices. Four Parkinson’s disease patients streamed bilateral 4-channel motor cortical and basal ganglia field potentials at home for over 500 hours, paired with wearable monitors that behaviorally categorize states of inadequate or excessive movement. Motor state during normal home activities was efficiently decoded using either supervised learning or unsupervised clustering algorithms. This platform supports adaptive deep brain stimulation, and may be widely applicable to brain disorders treatable by invasive neuromodulation.

scholarly journals Suppression and Rebound of Pallidal Beta Power: Observation Using a Chronic Sensing DBS Device

2021 ◽  
Vol 15 ◽  
Author(s):  
Jackson N. Cagle ◽  
Joshua K. Wong ◽  
Kara A. Johnson ◽  
Kelly D. Foote ◽  
Michael S. Okun ◽  
...  
Keyword(s):  
Pulse Generator ◽  
Oscillatory Activity ◽  
Field Potentials ◽  
Beta Band ◽  
Band Power ◽  
Power Spectral ◽  
Beta Power ◽  
Pallidal Deep Brain Stimulation ◽  
Objective Marker ◽  
Deep Brain

Pallidal deep brain stimulation (DBS) is an increasingly used therapy for Parkinson’s disease (PD). Here, we study the effect of DBS on pallidal oscillatory activity as well as on symptom severity in an individual with PD implanted with a new pulse generator (Medtronic Percept system) which facilitates chronic recording of local field potentials (LFP) through implanted DBS lead. Pallidal LFPs were recorded while delivering stimulation in a monopolar configuration using stepwise increments (0.5 mA, every 20 s). At each stimulation amplitude, the power spectral density (PSD) was computed, and beta power (13–30 Hz) was calculated and correlated with the degree of bradykinesia. Pallidal beta power was reduced when therapeutic stimulation was delivered. Beta power correlated to the severity of bradykinesia. Worsening of parkinsonism when excessive stimulation was applied was associated with a rebound in the beta band power. These preliminary results suggest that pallidal beta power might be used as an objective marker of the disease state in PD. The use of brain sensing from implanted neural interfaces may in the future facilitate clinical programming. Detection of rebound could help to optimize benefits and minimize worsening from overstimulation.

scholarly journals A Simulation on Relation between Power Distribution of Low-Frequency Field Potentials and Conducting Direction of Rhythm Generator Flowing through 3D Asymmetrical Brain Tissue

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 900
Author(s):  
Hao Cheng ◽  
Manling Ge ◽  
Abdelkader Nasreddine Belkacem ◽  
Xiaoxuan Fu ◽  
Chong Xie ◽  
...  
Keyword(s):  
Brain Tissue ◽  
Power Distribution ◽  
Low Frequency ◽  
Field Potentials ◽  
Spatial Spread ◽  
Rhythm Generator ◽  
Equivalent Dipole ◽  
Head Surface ◽  
Brain Rhythm ◽  
Deep Brain

Although the power of low-frequency oscillatory field potentials (FP) has been extensively applied previously, few studies have investigated the influence of conducting direction of deep-brain rhythm generator on the power distribution of low-frequency oscillatory FPs on the head surface. To address this issue, a simulation was designed based on the principle of electroencephalogram (EEG) generation of equivalent dipole current in deep brain, where a single oscillatory dipole current represented the rhythm generator, the dipole moment for the rhythm generator’s conducting direction (which was orthogonal and rotating every 30 degrees and at pointing to or parallel to the frontal lobe surface) and the (an)isotropic conduction medium for the 3D (a)symmetrical brain tissue. Both the power above average (significant power value, SP value) and its space (SP area) of low-frequency oscillatory FPs were employed to respectively evaluate the strength and the space of the influence. The computation was conducted using the finite element method (FEM) and Hilbert transform. The finding was that either the SP value or the SP area could be reduced or extended, depending on the conducting direction of deep-brain rhythm generator flowing in the (an)isotropic medium, suggesting that the 3D (a)symmetrical brain tissue could decay or strengthen the spatial spread of a rhythm generator conducting in a different direction.

Basal ganglia local field potentials: applications in the development of new deep brain stimulation devices for movement disorders

2007 ◽  
Vol 4 (5) ◽  
pp. 605-614 ◽  
Author(s):  
Sara Marceglia ◽  
Lorenzo Rossi ◽  
Guglielmo Foffani ◽  
AnnaMaria Bianchi ◽  
Sergio Cerutti ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Basal Ganglia ◽  
Local Field ◽  
Brain Stimulation ◽  
Movement Disorders ◽  
Local Field Potentials ◽  
Field Potentials ◽  
Deep Brain

scholarly journals Characteristics of local field potentials correlate with pain relief by deep brain stimulation

2016 ◽  
Vol 127 (7) ◽  
pp. 2573-2580 ◽  
Author(s):  
Yongzhi Huang ◽  
Huichun Luo ◽  
Alexander L. Green ◽  
Tipu Z. Aziz ◽  
Shouyan Wang
Keyword(s):  
Deep Brain Stimulation ◽  
Pain Relief ◽  
Local Field ◽  
Brain Stimulation ◽  
Local Field Potentials ◽  
Field Potentials ◽  
Deep Brain

A Method for Removal of Deep Brain Stimulation Artifact From Local Field Potentials

2017 ◽  
Vol 25 (12) ◽  
pp. 2217-2226 ◽  
Author(s):  
Xing Qian ◽  
Yue Chen ◽  
Yuan Feng ◽  
Bozhi Ma ◽  
Hongwei Hao ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Local Field ◽  
Brain Stimulation ◽  
Local Field Potentials ◽  
Field Potentials ◽  
Deep Brain

scholarly journals The Subthalamic Nucleus: Unravelling New Roles and Mechanisms in the Control of Action

2018 ◽  
Vol 25 (1) ◽  
pp. 48-64 ◽  
Author(s):  
Tora Bonnevie ◽  
Kareem A. Zaghloul
Keyword(s):  
Deep Brain Stimulation ◽  
Basal Ganglia ◽  
Subthalamic Nucleus ◽  
Action Control ◽  
Brain Disorders ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
High Level ◽  
Deep Brain

How do we decide what we do? This is the essence of action control, the process of selecting the most appropriate response among multiple possible choices. Suboptimal action control can involve a failure to initiate or adapt actions, or conversely it can involve making actions impulsively. There has been an increasing focus on the specific role of the subthalamic nucleus (STN) in action control. This has been fueled by the clinical relevance of this basal ganglia nucleus as a target for deep brain stimulation (DBS), primarily in Parkinson’s disease but also in obsessive-compulsive disorder. The context of DBS has opened windows to study STN function in ways that link neuroscientific and clinical fields closely together, contributing to an exceptionally high level of two-way translation. In this review, we first outline the role of the STN in both motor and nonmotor action control, and then discuss how these functions might be implemented by neuronal activity in the STN. Gaining a better understanding of these topics will not only provide important insights into the neurophysiology of action control but also the pathophysiological mechanisms relevant for several brain disorders and their therapies.

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