Cross-frequency coupling and intelligent neuromodulation

CH Yeh, C Zhang, W Shi, MT Lo… - Cyborg and bionic …, 2023 - spj.science.org
Cross-frequency coupling (CFC) reflects (nonlinear) interactions between signals of different
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 …

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 …

Recalibration of neuromodulation parameters in neural implants with adaptive Bayesian optimization

G Aiello, G Valle, S Raspopovic - Journal of Neural Engineering, 2023 - iopscience.iop.org
Objective. Neuromodulation technology holds promise for treating conditions where
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

S Wang, G Zhu, L Shi, C Zhang, B Wu… - Journal of …, 2023 - content.iospress.com
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 …

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 …

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 …

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 …

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 …

[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 …