Biophysical Principles and Computational Modeling of Deep Brain Stimulation

Ng, Patrick R.; Bush, Alan; Vissani, Matteo; Richardson, R. Mark

doi:10.1016/j.neurom.2023.04.471

Cited by 5 publications

(1 citation statement)

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“…Due to the large number of potential states that are reflected in electrophysiological recordings, learning an optimal strategy for an individual may require a large number of interactions with a particular patient, i.e., probing the effect of small variations of the stimulation parameters. To reduce this time to a minimum, the pre-training of control algorithms in simulated CL environments could represent a practical option [82,98].…”

Section: Current Challenges Of Cl-dbsmentioning

confidence: 99%

Perspectives of Implementation of Closed-Loop Deep Brain Stimulation: From Neurological to Psychiatric Disorders

Groppa,

Gonzalez-Escamilla,

Tinkhauser

et al. 2023

Stereotact Funct Neurosurg

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Background: Deep brain stimulation (DBS) is a highly efficient, evidence-based therapy to alleviate symptoms and improve quality of life in movement disorders such as Parkinson’s disease, essential tremor, and dystonia, which is also being applied in several psychiatric disorders, such as obsessive-compulsive disorder and depression, when they are otherwise resistant to therapy. Summary: At present, DBS is clinically applied in the so-called open-loop approach, with fixed stimulation parameters, irrespective of the patients’ clinical state(s). This approach ignores the brain states or feedback from the central nervous system or peripheral recordings, thus potentially limiting its efficacy and inducing side effects by stimulation of the targeted networks below or above the therapeutic level. Key Messages: The currently emerging closed-loop (CL) approaches are designed to adapt stimulation parameters to the electrophysiological surrogates of disease symptoms and states. CL-DBS paves the way for adaptive personalized DBS protocols. This review elaborates on the perspectives of the CL technology and discusses its opportunities as well as its potential pitfalls for both clinical and research use in neuropsychiatric disorders.

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Section: Current Challenges Of Cl-dbsmentioning

confidence: 99%