Computational Models Supporting Parameter Finding for Deep Brain Stimulation
Deep brain stimulation is a surgical therapy involving electrical stimulation of the brain via chronically implanted electrodes.
Once implanted, there are a number of stimulation parameters which must be set by the clinician in order to suppress the pathological symptoms, while not inducing any unwanted side effects.
Computational models can be used to estimate the optimal parameter settings for DBS to aid this process.
Deep Brain Stimulation
Over 20 years ago (Benabid et al. 1987), deep brain stimulation (DBS) was introduced as a clinical therapy for a number of neurological and more recently psychological disorders. The treatment involves chronic electrical stimulation via quadripolar electrodes implanted into various regions of the human brain in a disorder-specific manner. Most commonly, DBS is used to treat a range of movement disorders such as essential tremor, Parkinson’s disease, and dystonia (Vidailhet et al. 2005; Deuschl et al. 2006; Kupsch...
KeywordsDeep Brain Stimulation Essential Tremor Neuron Model Finite Element Method Model Optimal Parameter Setting
- Frankemolle A, Wu J, Noecker AM, Voelcker-Rehage C, Ho JC, Vitek JL, McIntyre CC, Alberts JL (2010) Reversing cognitive-motor impairments in Parkinson’s disease patients using a computational modelling approach to deep brain stimulation programming. Brain 133(3):746–761PubMedCentralPubMedCrossRefGoogle Scholar