Investigating irregularly patterned deep brain stimulation signal design using biophysical models

Summerson, Samantha R.; Aazhang, Behnaam; Kemere, Caleb

doi:10.3389/fncom.2015.00078

Cited by 11 publications

(11 citation statements)

References 43 publications

(65 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The firing rate of Thalamic neurons decreases from healthy to PD condition while it increases after applying DBS, adjusted to Healthy conditions. Summerson et al ( 2015 ) investigated the average firing rate of cells in the basal ganglia under regular and irregular rectangular pulse DBS waveforms. The rate did not differ noticeably in both cases proving that DBS has a uniform effect on the firing rate of single neurons, but with various waveform shapes and the effect of Delay between cathodic and anodic phases, GPi neurons tend to fire more.…”

Section: Resultsmentioning

confidence: 99%

“…The delay of 0.7 ms showed a promising value for the activation of resting neurons in our basal ganglia network. These values were used to be consistent with previous studies (Foutz and McIntyre, 2010 ; Wongsarnpigoon and Grill, 2010 ; So et al, 2012 ; Summerson et al, 2015 ) and to have a better comparison of energy consumption for each waveform, but as we show further in this study, the cathodic and anodic amplitudes along with the delay length can be varied to reach the optimal DBS waveforms.…”

Section: Methodsmentioning

confidence: 92%

“…By reducing this current going to STN, GPe, and GPi cells, an elevated bursting pattern and synchronization of GPe/GPi cells would emerge. Examination of deep brain signals were further achieved by applying customized pulse shapes to STN, GPe, and GPi cells, and compared with the typical rectangular waveform used in retrospective studies (Hofmann et al, 2011 ; So et al, 2012 ; Kang and Lowery, 2013 ; Summerson et al, 2015 ). It's been studied recently that fluctuations of neuronal action potentials generate a magnetic field potential.…”

Section: Methodsmentioning

confidence: 99%

“…Many studies have attempted to examine the therapeutic effects of DBS waveforms on patients with Parkinson's disease (Berney et al, 2002 ; Hashimoto et al, 2003 ; Rizzone et al, 2014 ) along with more computationally based studies such as Wongsarnpigoon and Grill ( 2010 ), Foutz and McIntyre ( 2010 ), So et al ( 2012 ), Summerson et al ( 2015 ), Kang and Lowery ( 2013 ), and Hofmann et al ( 2011 ). However, the effect of DBS pulse modification with a delay in a complex network of the basal ganglia has not been fully investigated.…”

Section: Methodsmentioning

confidence: 99%

“…Experimental studies investigated the effect of DBS on the single cell level (Hashimoto et al, 2003 ), but there are vast unknown information that can be extracted from neural network activity and its reaction to stimulation. There are several existing neural mass models aiming to understand ambiguities of DBS in the network level (So et al, 2012 ; Summerson et al, 2015 ). Terman et al ( 2002 ) focused on synaptic interaction between STN and GPe to describe and compare normal and PD conditions.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Computational Stimulation of the Basal Ganglia Neurons with Cost Effective Delayed Gaussian Waveforms

Daneshzand

Faezipour

Barkana

2017

Front. Comput. Neurosci.

View full text Add to dashboard Cite

Deep brain stimulation (DBS) has compelling results in the desynchronization of the basal ganglia neuronal activities and thus, is used in treating the motor symptoms of Parkinson's disease (PD). Accurate definition of DBS waveform parameters could avert tissue or electrode damage, increase the neuronal activity and reduce energy cost which will prolong the battery life, hence avoiding device replacement surgeries. This study considers the use of a charge balanced Gaussian waveform pattern as a method to disrupt the firing patterns of neuronal cell activity. A computational model was created to simulate ganglia cells and their interactions with thalamic neurons. From the model, we investigated the effects of modified DBS pulse shapes and proposed a delay period between the cathodic and anodic parts of the charge balanced Gaussian waveform to desynchronize the firing patterns of the GPe and GPi cells. The results of the proposed Gaussian waveform with delay outperformed that of rectangular DBS waveforms used in in-vivo experiments. The Gaussian Delay Gaussian (GDG) waveforms achieved lower number of misses in eliciting action potential while having a lower amplitude and shorter length of delay compared to numerous different pulse shapes. The amount of energy consumed in the basal ganglia network due to GDG waveforms was dropped by 22% in comparison with charge balanced Gaussian waveforms without any delay between the cathodic and anodic parts and was also 60% lower than a rectangular charged balanced pulse with a delay between the cathodic and anodic parts of the waveform. Furthermore, by defining a Synchronization Level metric, we observed that the GDG waveform was able to reduce the synchronization of GPi neurons more effectively than any other waveform. The promising results of GDG waveforms in terms of eliciting action potential, desynchronization of the basal ganglia neurons and reduction of energy consumption can potentially enhance the performance of DBS devices.

show abstract

Section: Resultsmentioning

confidence: 99%