Brain‒machine interface (BMI) is a promising technology that looks set to contribute to the development of artificial limbs and new input devices by integrating various recent technological advances, including neural electrodes, wireless communication, signal analysis, and robot control. Neural electrodes are a key technological component of BMI, as they can record the rapid and numerous signals emitted by neurons. To receive stable, consistent, and accurate signals, electrodes are designed in accordance with various templates using diverse materials. With the development of microelectromechanical systems (MEMS) technology, electrodes have become more integrated, and their performance has gradually evolved through surface modification and advances in biotechnology. In this paper, we review the development of the extracellular/intracellular type of in vitro microelectrode array (MEA) to investigate neural interface technology and the penetrating/surface (non-penetrating) type of in vivo electrodes. We briefly examine the history and study the recently developed shapes and various uses of the electrode. Also, electrode materials and surface modification techniques are reviewed to measure high-quality neural signals that can be used in BMI.
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http://dx.doi.org/10.3390/ma11101995 | DOI Listing |
Colloids Surf B Biointerfaces
January 2025
State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China; Jiangxi Province Key Laboratory of Additive Manufacturing of Implantable Medical Device, Jiangxi University of Science and Technology, Nanchang 330013, China. Electronic address:
Electrical stimulation displayed tremendous potential in promoting nerve regeneration. However, the current electrical stimulation therapy required complex traversing wires and external power sources, which significantly limited its practical application. Herein, a self-powered nerve scaffold based on primary battery principle was gradient printed by laser additive manufacturing technique.
View Article and Find Full Text PDFCell Rep
January 2025
Centre for Systems Neuroscience, University of Leicester, Leicester, UK; Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain; Institució Catalana de Recerca I Estudis Avançats (ICREA), Barcelona, Spain; Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address:
In subjects implanted with intracranial electrodes, we use two different stories involving the same person (or place) to evaluate whether and to what extent context modulates human single-neuron responses. Nearly all neurons (97% during encoding and 100% during recall) initially responding to a person/place do not modulate their response with context. Likewise, nearly none (<1%) of the initially non-responsive neurons show conjunctive coding, responding to particular persons/places in a particular context during the tasks.
View Article and Find Full Text PDFJ Neural Eng
January 2025
Electrical and Computer Engineering Department, New York University, 370 Jay Street, Brooklyn, New York, New York, 10012-1126, UNITED STATES.
This study investigates speech decoding from neural signals captured by intracranial electrodes. Most prior works can only work with electrodes on a 2D grid (i.e.
View Article and Find Full Text PDFJ Neural Eng
January 2025
School of Physics and Astronomy, Cardiff University, The Parade, Cardiff, CF10 3XQ, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
Objective: Inclusion of individualised electrical conductivities of head tissues is crucial for the accuracy of electrical source imaging techniques based on electro/magnetoencephalography and the efficacy of transcranial electrical stimulation. Parametric electrical impedance tomography (pEIT) is a method to cheaply and non-invasively estimate them using electrode arrays on the scalp to apply currents and measure the resulting potential distribution. Conductivities are then estimated by iteratively fitting a forward model to the measurements, incurring a prohibitive computational cost that is generally lowered at the expense of accuracy.
View Article and Find Full Text PDFJ Neurophysiol
January 2025
Department of Health and Exercise Science, University of Oklahoma, Norman, OK, USA.
Transcutaneous spinal direct current stimulation (TSDCS) has the potential to modulate spinal circuits and induce functional changes in humans. Nevertheless, differences across studies on basic parameters used and obtained metrics represent a confounding factor. Computer simulations are instrumental in improving the application of the TSDCS technique.
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