Deep brain–machine interfaces: sensing and modulating the human deep brain

Y Sui, H Yu, C Zhang, Y Chen, C Jiang… - National Science …, 2022 - academic.oup.com
Different from conventional brain–machine interfaces that focus more on decoding the
cerebral cortex, deep brain–machine interfaces enable interactions between external …

[HTML][HTML] Brain stimulation treatments in epilepsy: basic mechanisms and clinical advances

TJ Foutz, M Wong - biomedical journal, 2022 - Elsevier
Drug-resistant epilepsy, characterized by ongoing seizures despite appropriate trials of anti-
seizure medications, affects approximately one-third of people with epilepsy. Brain …

Automated calibration of somatosensory stimulation using reinforcement learning

L Borda, N Gozzi, G Preatoni, G Valle… - … of NeuroEngineering and …, 2023 - Springer
Background The identification of the electrical stimulation parameters for neuromodulation is
a subject-specific and time-consuming procedure that presently mostly relies on the …

Automated deep brain stimulation programming with safety constraints for tremor suppression in patients with Parkinson's disease and essential tremor

P Sarikhani, B Ferleger, K Mitchell… - Journal of neural …, 2022 - iopscience.iop.org
Objective. Deep brain stimulation (DBS) programming for movement disorders requires
systematic fine tuning of stimulation parameters to ameliorate tremor and other symptoms …

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 …

Human-in-the-loop optimization for deep stimulus encoding in visual prostheses

J Granley, T Fauvel, M Chalk… - Advances in Neural …, 2024 - proceedings.neurips.cc
Neuroprostheses show potential in restoring lost sensory function and enhancing human
capabilities, but the sensations produced by current devices often seem unnatural or …

In silico development and validation of Bayesian methods for optimizing deep brain stimulation to enhance cognitive control

SS Nagrale, A Yousefi, TI Netoff… - Journal of neural …, 2023 - iopscience.iop.org
Objective. deep brain stimulation (DBS) of the ventral internal capsule/striatum (VCVS) is a
potentially effective treatment for several mental health disorders when conventional …

A new application of functional Zonal image Reconstruction in programming for Parkinson's disease Treated using subthalamic nucleus–deep brain stimulation

J Mei, B Chang, C Xiong, M Jiang, C Niu - Frontiers in Neurology, 2022 - frontiersin.org
Objective: Programming plays an important role in the outcome of deep brain stimulation
(DBS) for Parkinson's disease (PD). This study introduced a new application for functional …

SAFE-OPT: a Bayesian optimization algorithm for learning optimal deep brain stimulation parameters with safety constraints

ER Cole, MJ Connolly, M Ghetiya… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. To treat neurological and psychiatric diseases with deep brain stimulation (DBS),
a trained clinician must select parameters for each patient by monitoring their symptoms and …

Reinforcement learning for closed-loop regulation of cardiovascular system with vagus nerve stimulation: a computational study

P Sarikhani, HL Hsu, M Zeydabadinezhad… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Vagus nerve stimulation (VNS) is being investigated as a potential therapy for
cardiovascular diseases including heart failure, cardiac arrhythmia, and hypertension. The …