Cross-frequency coupling and intelligent neuromodulation
Cross-frequency coupling (CFC) reflects (nonlinear) interactions between signals of different
frequencies. Evidence from both patient and healthy participant studies suggests that CFC …
frequencies. Evidence from both patient and healthy participant studies suggests that CFC …
Injectable fluorescent neural interfaces for cell-specific stimulating and imaging
S Xu, X Xiao, F Manshaii, J Chen - Nano Letters, 2024 - ACS Publications
Building on current explorations in chronic optical neural interfaces, it is essential to address
the risk of photothermal damage in traditional optogenetics. By focusing on calcium …
the risk of photothermal damage in traditional optogenetics. By focusing on calcium …
Neural interfaces: Bridging the brain to the world beyond healthcare
S Xu, Y Liu, H Lee, W Li - Exploration, 2024 - Wiley Online Library
Neural interfaces, emerging at the intersection of neurotechnology and urban planning,
promise to transform how we interact with our surroundings and communicate. By recording …
promise to transform how we interact with our surroundings and communicate. By recording …
Recalibration of neuromodulation parameters in neural implants with adaptive Bayesian optimization
Objective. Neuromodulation technology holds promise for treating conditions where
physiological mechanisms of neural activity have been affected. To make treatments efficient …
physiological mechanisms of neural activity have been affected. To make treatments efficient …
Closed-loop adaptive deep brain stimulation in Parkinson's disease: procedures to achieve it and future perspectives
Parkinson's disease (PD) is a neurodegenerative disease with a heavy burden on patients,
families, and society. Deep brain stimulation (DBS) can improve the symptoms of PD …
families, and society. Deep brain stimulation (DBS) can improve the symptoms of PD …
A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation
X Wang, M Chen, Y Shen, Y Li, S Li, Y Xu, Y Liu, F Su… - Scientific Data, 2024 - nature.com
Here we presented an electrophysiological dataset collected from layer V of the primary
motor cortex (M1) and the corresponding behavior dataset from normal and hemi-parkinson …
motor cortex (M1) and the corresponding behavior dataset from normal and hemi-parkinson …
Clinical Neurophysiology in the treatment of movement disorders: IFCN Handbook chapter
JP Lefaucheur, E Moro, Y Shirota, Y Ugawa… - Clinical …, 2024 - Elsevier
In this review, different aspects of the use of clinical neurophysiology techniques for the
treatment of movement disorders are addressed. First of all, these techniques can be used to …
treatment of movement disorders are addressed. First of all, these techniques can be used to …
Estimulação cerebral profunda: análise térmica via métodos bayesianos
CR Pereira - 2024 - bdtd.uerj.br
The Deep Brain Stimulation (DBS) technique, a neurosurgical procedure commonly
employed in the treatment of motor symptoms, is characterized by the use of stimulation …
employed in the treatment of motor symptoms, is characterized by the use of stimulation …
Computational Models in Deep Brain Stimulation: Patient‐Specific Simulations, Tractography, and Group Analysis
T Nordin - 2023 - diva-portal.org
Deep brain stimulation (DBS) is an established method for symptom relief in movement
disorders like Parkinson's disease, essential tremor (ET), and dystonia. The therapy is based …
disorders like Parkinson's disease, essential tremor (ET), and dystonia. The therapy is based …
[HTML][HTML] Innovation in Neurosurgery: Lessons Learned, Obstacles, and Potential Funding Sources
CB Cutler, P King, M Khan, B Olowofela… - Neurons and …, 2022 - ncbi.nlm.nih.gov
Innovation is central to neurosurgery and has dramatically increased over the last twenty
years. Although the specialty innovates as a whole, only 3–4.7% of practicing …
years. Although the specialty innovates as a whole, only 3–4.7% of practicing …