scholarly journals Local vs. volume conductance activity of field potentials in the human subthalamic nucleus

2017 ◽  
Vol 117 (6) ◽  
pp. 2140-2151 ◽  
Author(s):  
Odeya Marmor ◽  
Dan Valsky ◽  
Mati Joshua ◽  
Atira S Bick ◽  
David Arkadir ◽  
...  

Subthalamic nucleus field potentials have attracted growing research and clinical interest over the last few decades. However, it is unclear whether subthalamic field potentials represent locally generated neuronal subthreshold activity or volume conductance of the organized neuronal activity generated in the cortex. This study aimed at understanding of the physiological origin of subthalamic field potentials and determining the most accurate method for recording them. We compared different methods of recordings in the human subthalamic nucleus: spikes (300–9,000 Hz) and field potentials (3–100 Hz) recorded by monopolar micro- and macroelectrodes, as well as by differential-bipolar macroelectrodes. The recordings were done outside and inside the subthalamic nucleus during electrophysiological navigation for deep brain stimulation procedures (150 electrode trajectories) in 41 Parkinson’s disease patients. We modeled the signal and estimated the contribution of nearby/independent vs. remote/common activity in each recording configuration and area. Monopolar micro- and macroelectrode recordings detect field potentials that are considerably affected by common (probably cortical) activity. However, bipolar macroelectrode recordings inside the subthalamic nucleus can detect locally generated potentials. These results are confirmed by high correspondence between the model predictions and actual correlation of neuronal activity recorded by electrode pairs. Differential bipolar macroelectrode subthalamic field potentials can overcome volume conductance effects and reflect locally generated neuronal activity. Bipolar macroelectrode local field potential recordings might be used as a biological marker of normal and pathological brain functions for future electrophysiological studies and navigation systems as well as for closed-loop deep brain stimulation paradigms. NEW & NOTEWORTHY Our results integrate a new method for human subthalamic recordings with a development of an advanced mathematical model. We found that while monopolar microelectrode and macroelectrode recordings detect field potentials that are considerably affected by common (probably cortical) activity, bipolar macroelectrode recordings inside the subthalamic nucleus (STN) detect locally generated potentials that are significantly different than those recorded outside the STN. Differential bipolar subthalamic field potentials can be used in navigation and closed-loop deep brain stimulation paradigms.

2021 ◽  
Vol 11 (4) ◽  
pp. 414
Author(s):  
Lekshmy Sudha Kumari ◽  
Abbas Z. Kouzani

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.


2022 ◽  
Vol 7 (4) ◽  
pp. 281-286
Author(s):  
Venkateshwarla Rama Raju

Deep brain stimulation of the subthalamic nucleus (STN) is a highly effective treatment for motor symptoms of Parkinson’s disease. Sub thalamic nucleus deep brain stimulation (STN-DBS) is a therapeutic surgical procedure for reducing the symptoms Parkinson’s and restoring and increasing the motor functioning. However, precise intraoperative edge or perimeter detection of STN remains a procedural challenge. In this study, we present the micro electrode signals recordings (MER) of STNs and local field potentials (LFPs) were acquired from deep brain stimulation macro electrodes during trajectory towards STN, in Parkinson patients. The frequency versus intensity atlas of field potential activity was obtained and further than investigated in distinct sub band’s, to explore whether field potentials activity can be employed for STN edge detection. STN perimeter detections by means of L F Ps were evaluated to edge predictions by way of the functional stereotactic DBS neurosurgeon, based on micro electrode derived, single unit recordings (M E R – S N A of S T Ns). The findings show variation amongst M E R – S N A and macro electrode L F P-signals gathering through MER-system pertaining to the d o r s a l S T N b o r d e r of -1.00±0.85mm plus -0.42±1.08 mm in the and frequencies, correspondingly. For these sub band`s, root mean square of the voids was found to be 1.27milli meters and 1.07milli meters. The Assessment of other sub band`s didn`t set a limit for differentiating the posterior (c a u d a l) point of sub-thalamic nuclei. We may infer that In conclusion, macro electrode signal acquisitions of STNs derived L F P gatherings might offer an unconventional methodology in the direction of m e r – s n a, for detecting the aimed target subthalamic nucleus borders during DBS-surgery.


2020 ◽  
Vol 131 (6) ◽  
pp. 1221-1229
Author(s):  
Zachary T. Irwin ◽  
Mohammad Z. Awad ◽  
Christopher L. Gonzalez ◽  
Arie Nakhmani ◽  
J.Nicole Bentley ◽  
...  

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