Literature DB >> 35574294

Ramp Rate Evaluation and Configuration for Safe and Tolerable Closed-Loop Deep Brain Stimulation.

Matthew N Petrucci1, Kevin B Wilkins1, Gerrit C Orthlieb1, Yasmine M Kehnemouyi1, Johanna J O'Day2, Jeffrey A Herron3, Helen M Bronte-Stewart1.   

Abstract

Closed-loop deep brain stimulation is a novel form of therapy that has shown benefit in preliminary studies and may be clinically available in the near future. Initial closed-loop studies have primarily focused on responding to sensed biomarkers with adjustments to stimulation amplitude, which is often perceptible to study participants depending on the slew or "ramp" rate of the amplitude changes. These subjective responses to stimulation ramping can result in transient side effects, illustrating that ramp rate is a unique safety parameter for closed-loop neural systems. This presents a challenge to the future of closed-loop neuromodulation systems: depending on the goal of the control policy, clinicians will need to balance ramp rates to avoid side effects and keep the stimulation therapeutic by responding in time to affect neural dynamics. In this paper, we demonstrate the results of an initial investigation into methodology for finding safe and tolerable ramp rates in four people with Parkinson's disease (PD). Results suggest that optimal ramp rates were found more accurately during varying stimulation when compared to simply toggling between maximal and minimal intensity levels. Additionally, switching frequency instantaneously was tolerable at therapeutic levels of stimulation. Future work should focus on including optimization techniques to find ramp rates.

Entities:  

Year:  2021        PMID: 35574294      PMCID: PMC9097241          DOI: 10.1109/ner49283.2021.9441336

Source DB:  PubMed          Journal:  Int IEEE EMBS Conf Neural Eng        ISSN: 1948-3546


  3 in total

1.  Basic algorithms for the programming of deep brain stimulation in Parkinson's disease.

Authors:  Jens Volkmann; Elena Moro; Rajesh Pahwa
Journal:  Mov Disord       Date:  2006-06       Impact factor: 10.338

2.  Demonstration of Kinematic-Based Closed-loop Deep Brain Stimulation for Mitigating Freezing of Gait in People with Parkinson's Disease.

Authors:  Johanna J O'Day; Yasmine M Kehnemouyi; Matthew N Petrucci; Ross W Anderson; Jeffrey A Herron; Helen M Bronte-Stewart
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2020-07

Review 3.  Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation.

Authors:  Franz Hell; Carla Palleis; Jan H Mehrkens; Thomas Koeglsperger; Kai Bötzel
Journal:  Front Neurol       Date:  2019-04-03       Impact factor: 4.003

  3 in total

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