Background: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) as treatment for Parkinson's disease has been in use for more than a decade, yet the immediate effect of stimulation upon movement parameters is not well characterized.
Objective: The goal of the current study is the identification of the best time point to test hand function after programming DBS devices.
Methods: Reaction time, movement time and velocity were measured at multiple time points with a movement-sensitive glove after the deep brain stimulator had been turned on or off, during 'off medication' conditions.
Results: Velocity, movement time and reaction time worsened significantly in the first 20 min after the deep brain stimulator had been turned off. A 'plateau effect' after 20 min was not observed. Initiation of stimulation led to immediate significant increases in movement time and velocity and to a lesser degree a decrease in reaction time. Patients performed more inconsistently over time after onset of stimulation compared to stimulation withdrawal. Intraoperative testing showed an immediate improvement in velocity after placement of the STN deep brain stimulator.
Conclusion: Movement time and velocity already reach their peak changes within 20 min after the deep brain stimulator has been reprogrammed, and therefore, this time point may be used to test the maximal clinical effect of stimulation.
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http://dx.doi.org/10.1159/000323340 | DOI Listing |
Neurobiol Dis
December 2024
Department of Neurology, University Hospital of Wuerzburg, Germany. Electronic address:
DYT-THAP1 dystonia is a monogenetic form of dystonia, a movement disorder characterized by the involuntary co-contraction of agonistic and antagonistic muscles. The disease is caused by mutations in the THAP1 gene, although the precise mechanisms by which these mutations contribute to the pathophysiology of dystonia remain unclear. The incomplete penetrance of DYT-THAP1 dystonia, estimated at 40 to 60 %, suggests that an environmental trigger may be required for the manifestation of the disease in genetically predisposed individuals.
View Article and Find Full Text PDFNeural Netw
December 2024
School of Artificial Intelligence, Anhui University, Hefei, 230601, Anhui, China; Engineering Research Center of Autonomous Unmanned System Technology, Ministry of Education, Hefei, 230601, Anhui, China; Anhui Provincial Engineering Research Center for Unmanned Systems and Intelligent Technology, Hefei, 230601, Anhui, China; School of Automation, Southeast University, Nanjing, 211189, Jiangsu, China. Electronic address:
Deep reinforcement learning (DRL) exploits the powerful representational capabilities of deep neural networks (DNNs) and has achieved significant success. However, compared to DNNs, spiking neural networks (SNNs), which operate on binary signals, more closely resemble the biological characteristics of efficient learning observed in the brain. In SNNs, spiking neurons exhibit complex dynamic characteristics and learn based on principles of biological plasticity.
View Article and Find Full Text PDFComput Biol Med
December 2024
Center for Brain and Brain-Inspired Computing Research, School of Computer Science, Northwestern Polytechnical University, Xi'an, China. Electronic address:
Background: Studying influential nodes (I-nodes) in brain networks is of great significance in the field of brain imaging. Most existing studies consider brain connectivity hubs as I-nodes such as the regions of high centrality or rich-club organization. However, this approach relies heavily on prior knowledge from graph theory, which may overlook the intrinsic characteristics of the brain network, especially when its architecture is not fully understood.
View Article and Find Full Text PDFBMC Cancer
December 2024
Department of Data Science, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran.
Glioblastoma Multiforme (GBM), classified as a grade IV glioma by the World Health Organization (WHO), is a prevalent and notably aggressive form of brain tumor derived from glial cells. It stands as one of the most severe forms of primary brain cancer in humans. The median survival time of GBM patients is only 12-15 months, making it the most lethal type of brain tumor.
View Article and Find Full Text PDFNat Biomed Eng
December 2024
Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
Deep brain stimulation (DBS), a proven treatment for movement disorders, also holds promise for the treatment of psychiatric and cognitive conditions. However, for DBS to be clinically effective, it may require DBS technology that can alter or trigger stimulation in response to changes in biomarkers sensed from the patient's brain. A growing body of evidence suggests that such adaptive DBS is feasible, it might achieve clinical effects that are not possible with standard continuous DBS and that some of the best biomarkers are signals from the cerebral cortex.
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