Neuromodulation : journal of the International Neuromodulation Society
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Detailed biophysical modeling of deep brain stimulation (DBS) provides a theoretical approach to quantify the cellular response to the applied electric field. However, the most accurate models for performing such analyses, patient-specific field-cable (FC) pathway-activation models (PAMs), are so technically demanding to implement that their use in clinical research is greatly limited. Predictive algorithms can simplify PAM calculations, but they generally fail to reproduce the output of FC models when evaluated over a wide range of clinically relevant stimulation parameters. Therefore, we set out to develop a novel driving-force (DF) predictive algorithm (DF-Howell), customized to the study of DBS, which can better match FC results. ⋯ DF-Howell represents an accurate predictor for estimating axonal pathway activation in patient-specific DBS models, but errors still exist relative to FC PAM calculations. Nonetheless, the tractability of DF algorithms helps to reduce the technical barriers for performing accurate biophysical modeling in clinical DBS research studies.
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Cluster headaches are a set of episodic and chronic pain syndromes that are sources of significant morbidity for patients. The standard of care for cluster headaches remains medication therapy, however a minority of patients will remain refractory to treatment despite changes to dosage and therapeutic combinations. In these patients, functional neuromodulation using Deep Brain Stimulation (DBS) presents the opportunity to alleviate the significant pain that is experienced by targeting the neurophysiological substrates that mediate pain. ⋯ In patients with chronic cluster headache, functional neuromodulation using DBS presents the opportunity to alleviate the significant pain that is experienced by targeting the neurophysiological substrates that mediate pain.
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Minimally conscious state (MCS) is a disorder of consciousness in which minimal but definite behavioral evidence of self-awareness or environmental awareness is demonstrated. Deep brain stimulation (DBS) of various targets has been used to promote recovery in patients with disorders of consciousness with varying results. The aim of this systematic review was to assess the effects of DBS in MCS following traumatic brain injury (TBI). ⋯ Current evidence is based on a small population of heterogeneous patients. The time from injury to stimulation was significantly variable and problematic, as spontaneous recovery can occur within the first year of injury. Although seven patients showed promising results in validated outcome measures, evidence supporting the use of DBS in MCS patients following TBI is lacking. There is need for controlled and randomized studies.
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Although deep brain stimulation (DBS) is an effective treatment for movement disorders, improvement varies substantially in individuals, across clinical trials, and over time. Noninvasive biomarkers that predict the individual response to DBS could be used to optimize outcomes and drive technological innovation in neuromodulation. We sought to evaluate whether noninvasive event related potentials elicited by subthalamic DBS during surgical targeting predict the tolerability of a given stimulation site in patients with advanced Parkinson's disease. ⋯ Event related potentials elicited by DBS can predict clinically relevant corticospinal activation by stimulation after surgery. Noninvasive scalp physiology requires no patient interaction and could serve as a biomarker to guide targeting, postoperative programming, and emerging technologies such as directional and closed-loop stimulation.
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Deep brain stimulation (DBS) and stereo-electroencephalography (SEEG) electrode implantation are the most important and frequent manipulations in nonhuman primates (NHP) neuromodulation research. However, traditional methods tend to be arduous and inaccurate. ⋯ The application of robot-assisted lead implantation in NHP neuromodulation research is feasible, accurate, safe, and efficient, and can prospectively be beneficial to neurological studies.