Deep Brain Stimulation in Clinical Practice and in Animal Models

2010 ◽  
Vol 88 (4) ◽  
pp. 559-562 ◽  
Author(s):  
C Hamani ◽  
J N Nobrega ◽  
A M Lozano
2011 ◽  
Vol 85 (3-4) ◽  
pp. 81-88 ◽  
Author(s):  
Xiao-Ling Zhong ◽  
Jin-Tai Yu ◽  
Qun Zhang ◽  
Nai-Dong Wang ◽  
Lan Tan

Author(s):  
Jeri Yvonne Williams ◽  
David G Standaert

Dystonia is a movement disorder characterized by sustained or intermittent muscle contractions. Classification of dystonia is based on age of onset, distribution of body parts affected, and underlying etiology. A large number of different genetic forms of dystonia have been discovered in recent years. Although these syndromes are important to recognize, the majority of dystonias encountered in clinical practice are of unknown cause. Therapy of dystonia includes medications, particularly anticholinergic drugs, use of botulinum toxins, and deep brain stimulation.


Neurosurgery ◽  
2010 ◽  
Vol 67 (4) ◽  
pp. 1073-1080 ◽  
Author(s):  
Sonny KH Tan ◽  
Rinske Vlamings ◽  
LeeWei Lim ◽  
Thibault Sesia ◽  
Marcus LF Janssen ◽  
...  

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
D. Nyholm ◽  
W. H. Jost

AbstractCalculation of levodopa-equivalent dose in Parkinson’s disease has become common in research, but is also a useful tool in clinical practice, especially when initiating device-aided treatments (deep brain stimulation, apomorphine and levodopa infusions). The aim with the present calculator is to provide an updated conversion table, including dose calculation of the recently developed levodopa/entacapone/carbidopa intestinal gel infusion. Future versions of the calculator should be made conducive to learning by means of artificial intelligence.


Author(s):  
Eran Klein

Brain–computer interface (BCI) technology is moving from research to clinical practice. Devices that detect seizure patterns and provide preemptive neurostimulation are in clinical use, and significant advancements have been made in BCI-based control of neuroprosthetics and deep brain stimulation systems for treatment of movement disorders. The transition of BCI-based devices into regular clinical use raises ethical challenges for clinicians and patients. Clinicians have important responsibilities in the initial consent process for obtaining BCI devices and in the ongoing management or neuromodulation of patients with BCI-based devices. Rather than understanding neuromodulation as purely technical, it is argued in this chapter that neuromodulation is better thought of as assistive, and that rehabilitation medicine provides a useful framework for beginning to address the kinds of ethical challenges likely to emerge for neuromodulation in BCI medicine.


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