Closed-loop neural interfaces for pain: Where do we stand?
Year: 2024
Type: article
Abstract: Advances in closed-loop neural interfaces and neuromodulation have offered a potentially effective and non-addictive treatment for chronic pain. These interfaces link neural sensors with device outputs to provide temporally precise stimulation. We discuss challenges and trends of state-of-the-art neural interfaces for treating pain in animal models and human pilot trials. Advances in closed-loop neural interfaces and neuromodulation have offered a potentially effective and non-addictive treatment for chronic pain. These interfaces link neural sensors with device outputs to provide temporally precise stimulation. We discuss challenges and trends of state-of-the-art neural interfaces for treating pain in animal models and human pilot trials.
Source: Cell Reports Medicine
Authors: Jing Wang, Zhe Sage Chen
Institutions: NYU Langone Health, New York University
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,460
Awards: Dissection of spatiotemporal activity from large-scale, multi-modal, multi-resolution hippocampal-neocortical recordings., G1364536609, Predictive Biosignature for Endoscopic Therapy for Chronic Pancreatitis Pain, G3659033200, G424747179, G605039452, G8698347643, G9000021423, G9000097955, G9000175097, G9000243946, Cognitive Thalamus, Advancing SUDEP Risk Prediction Using a Multicenter Case-Control Approach
OpenAlex ID: W4403424912