Zhang, Yuanming Li, Xin Wang, Shuang Shen, Haibin Huang, Kejie
Published in
Journal of Neural Engineering
Objective. Epilepsy is a fairly common condition that affects the brain and causes frequent seizures. The sudden and recurring epilepsy brings a series of safety hazards to patients, which seriously affects the quality of their life. Therefore, real-time diagnosis of electroencephalogram (EEG) in epilepsy patients is of great significance. However,...
Tan, Jieyuan Zhang, Xiang Wu, Shenghui Song, Zhiwei Chen, Shuhang Huang, Yifan Wang, Yiwen
Published in
Journal of Neural Engineering
Objectives. Coadaptive brain–machine interfaces (BMIs) allow subjects and external devices to adapt to each other during the closed-loop control, which provides a promising solution for paralyzed individuals. Previous studies have focused on either improving sensory feedback to facilitate subject learning or developing adaptive algorithms to mainta...
Mandeville, Ross Sanchez, Benjamin Johnston, Benjamin Bazarek, Stanley Thum, Jasmine A Birmingham, Austin See, Reiner Henson B Leochico, Carl Froilan D Kumar, Viksit Dowlatshahi, Arriyan S
...
Published in
Journal of Neural Engineering
Peripheral neuroregeneration research and therapeutic options are expanding exponentially. With this expansion comes an increasing need to reliably evaluate and quantify nerve health. Valid and responsive measures that can serve as biomarkers of the nerve status are essential for both clinical and research purposes for diagnosis, longitudinal follo...
Yang, Kai Wu, Shuang Zhou, Di Gan, Lin Zhang, Gaoyan
Published in
Journal of Neural Engineering
Objective. Many recent studies investigating the processing of continuous natural speech have employed electroencephalography (EEG) due to its high temporal resolution. However, most of these studies explored the response mechanism limited to the electrode space. In this study, we intend to explore the underlying neural processing in the source spa...
Liu, Jing Yang Grayden, David B Keast, Janet R John, Sam E
Published in
Journal of Neural Engineering
Objective. Endovascular neuromodulation has attracted substantial interest in recent years as a minimally invasive approach to treat neurological disorders. In this study, we investigated with a computational model the feasibility of stimulating peripheral nerves with an endovascular stent-mounted electrode array. Approach. Anatomically realistic F...
Dong, Tianshu Chen, Lei Patel, Paras R Richie, Julianna M Chestek, Cynthia A Shih, Albert J
Published in
Journal of Neural Engineering
Objective. Carbon fiber (CF) is good for chronic neural recording due to the small diameter (7 µm), high Young’s modulus, and low electrical resistance, but most high-density carbon fiber (HDCF) arrays are manually assembled with labor-intensive procedures and limited by the accuracy and repeatability of the operator handling. A machine to automate...
Zhu, Yiyue He, Jiaru Wu, Canwen Wu, Junwei Cheng, Zhongwen Chen, Yan Yuan, Maodan Zeng, Lvming Ji, Xuanrong
Published in
Journal of Neural Engineering
Objective. Exhaustion of Serotonin (5-hydroxytryptamine, 5-HT) is a typical cause of the depression disorder’s development and progression, including depression-like behaviors. Transcranial ultrasound stimulation (TUS) is an emerging non-invasive neuromodulation technique treating various neurodegenerative diseases. This study aims to investigate w...
Verma, Nishant Knudsen, Bruce Gholston, Aaron Skubal, Aaron Blanz, Stephan Settell, Megan Frank, Jennifer Trevathan, James Ludwig, Kip
Published in
Journal of Neural Engineering
Objective. Peripheral neural signals recorded during neuromodulation therapies provide insights into local neural target engagement and serve as a sensitive biomarker of physiological effect. Although these applications make peripheral recordings important for furthering neuromodulation therapies, the invasive nature of conventional nerve cuffs and...
Letner, Joseph G Patel, Paras R Hsieh, Jung-Chien Smith Flores, Israel M della Valle, Elena Walker, Logan A Weiland, James D Chestek, Cynthia A Cai, Dawen
Published in
Journal of Neural Engineering
Objective. Characterizing the relationship between neuron spiking and the signals that electrodes record is vital to defining the neural circuits driving brain function and informing clinical brain-machine interface design. However, high electrode biocompatibility and precisely localizing neurons around the electrodes are critical to defining this ...
Vargas, Luis Musselman, Eric D Grill, Warren M Hu, Xiaogang
Published in
Journal of Neural Engineering
Objective. Transcutaneous electrical stimulation of peripheral nerves is a common technique to assist or rehabilitate impaired muscle activation. However, conventional stimulation paradigms activate nerve fibers synchronously with action potentials time-locked with stimulation pulses. Such synchronous activation limits fine control of muscle force ...
