22 papers · ranked by Valyu relevance
Mohamed K. M. Abdelbaki, Clément Cointe, Dina N. Arvanitis, Christian Bergaud + 1 more
Transparent microelectrode arrays that enable multimodal investigation of spatiotemporal electrophysiological activity are critical tools for advancing the understanding of excitable tissues such as the brain, heart, and peripheral nerves. Traditional implantable devices are engineered for chronic use but require…
Simon Higham, Young Jun Jung, Sorel E. De Leon, Wei Tong + 10 more
Implantable brain-machine interfaces, capable of capturing high-resolution neural signals, hold great promise for treating neurological conditions and advancing neuroscience research. As the field moves toward chronic, fully implantable systems, ensuring the long-term safety and stability of the microelectrode arrays…
Authors not listed
Understanding and controlling the microstructure of zinc (Zn) metal electrodeposits is critical for advancing the next generation of rechargeable Zn batteries. In this study, we develop microelectrode arrays to systematically investigate the relationship between current density, morphology, and Coulombic efficiency…
Suyi Zhang, Jin Shan, Shiya Lv, Yu Liu + 10 more
High-resolution, multi-modal neural interfaces are essential for advancing systems neuroscience and brain-computer interface technologies. This study designed and fabricated a 128-channel comb-shaped flexible micro-electrode array. The device integrates a biocompatible Parylene substrate with a flexible thin-film…
Mingda Zhao, Yuxing Zhang, Yibo Wang, Hui Liu + 4 more
Brain-on-a-chip (BOC) refers to a miniaturized in vitro platform that integrates living neuronal networks on a micro-engineered chip, enabling the simulation of brain functions, neural activities and physiological responses. BOC technology is an advanced evolution of microphysiological systems (MPS) and Lab-on-a-Chip…
Adam M Forrest, Nicolas G Kunigk, Jennifer L Collinger, Robert A Gaunt + 3 more
Objective. Utah arrays are widely used in both humans and non-human primates (NHPs) for intracortical brain-computer interfaces, primarily for detecting electrical signals from cortical tissue to decode motor commands. Recently, these arrays have also been applied to deliver electrical stimulation aimed at restoring…
Daniel P. Woods, Grace M. Adams, Rana Mozumder, Wenhao Dang + 3 more
Title: SUMMARY Neurophysiological recordings from non-human primates (NHPs) have traditionally relied on rigid microelectrode arrays made from stainless steel or silicon. While these devices enable high-quality recordings, a fundamental mechanical mismatch between rigid materials and soft brain tissue leads to…
Jizhi Liang, Xiner Wang, Zhaohan Chen, Xiaoling Wei + 5 more
Flexible neural interfaces capable of monitoring subcortical neuronal activity facilitate the study of deep brain neural circuits and their interactions with the cortex. However, there exists a paucity of translational tools for interfacing subcortical nuclei surfaces within the intraventricular cerebrospinal fluid.…
Daniel P. Woods, Grace M. Adams, Rana Mozumder, Wenhao Dang + 3 more
Neurophysiological recordings from non-human primates (NHPs) have traditionally relied on rigid microelectrode arrays made from stainless steel or silicon. While these devices enable high-quality recordings, a fundamental mechanical mismatch between rigid materials and soft brain tissue leads to inflammation, gliosis…
Qinghua Wu, Yan Gong, Xiang Liu, Nam-Trung Nguyen + 2 more
High-density microelectrode arrays (HDMEAs) have become increasingly important tools in neuroscience and biomedical engineering because of their high spatial and temporal resolution for recording and modulating electrical activity across diverse biological systems. Initially developed for in vitro studies of cultured…
Kazushi Takehana, Dai Akita, Hirokazu Takahashi
Objective. To develop and evaluate an adaptive electrode-selection method for tracking non-stationary spontaneous activity during long-term high-density microelectrode array (HD-MEA) recordings under a fixed channel budget. Approach. We formulated electrode allocation as a sequential subset-selection problem and used a…
Authors not listed
Non-invasive biomarker assessment in saliva offers a promising route for early detection of bovine respiratory disease (BRD) and scour in calves. However, accurate electrochemical sensing in this complex matrix remains challenging due to variable pH, viscosity, and interfering species. Here, we report an integrated…
Yunxia Jin, Chne-Wuen Tsai, Sippanat Achavananthadith, Dat T. Nguyen + 13 more
High-density single-unit recording among closely spaced neurons over long durations is crucial for understanding the cellular-level functional architecture of the brain. Existing brain probes, however, either laterally sample neurons far more sparsely than neuronal density in the same cortical layer or suffer from…
Szu-Ying Li, Yun-Ting Kuo, Sheng-Huang Lin, Shun-An Kan + 6 more
Neural function emerges from the interplay between electrical activity and neurochemical signaling, yet most implantable neural interfaces primarily record electrophysiological signals and lack molecular specificity for neurotransmitter monitoring. Here, we developed a flexible multimodal neural probe integrating an…
Amritha Janardanan, Soner Sonmezoglu, Stefano Sonedda, Tom J. Zajdel + 5 more
Bacteria sense a diverse range of environmental analytes with high sensitivity and temporal resolution. Engineering and synthetic biology approaches enabled harnessing this capability through development of whole-cell biosensors that respond to specific molecules of interest. However, converting these responses into…
Aminolah Hasanvand, Ali Khaleghi, Cyril Beguet, Paul Wanda + 1 more
Implantable wireless brain-machine interfaces (BMI) encounter significant challenges in miniaturization, power consumption, and high data volume. While systems utilizing high resolution microelectrode arrays offer precision brain readout and/or stimulation, achieving high-rate wireless connectivity (32-128 Mbps)…
Nicola Ria, Bruno Rodriguez-Meana, Eduard Masvidal-Codina, David Andreu + 10 more
Neurotechnology is being explored for restoring sensorimotor functions after paralysis or amputation, which requires peripheral nerve interfaces that are selective, bidirectional, and chronically stable. Reduced graphene oxide (rGO)-based microelectrodes offer low impedance and a high charge-injection limit; however…
Authors not listed
To address the stability and cost limitations of enzymatic glucose sensors, this work details the use of nanoporous copper (NPC) modified microdisc array (MDA) sensors for non-enzymatic glucose detection, with a focus on bovine health monitoring. Electrochemical analysis in 0.1 M NaOH, using cyclic voltammetry (CV) and…
Ali Khaleghi, Aminolah Hassanvand, Ilangko Balasingham
Brain-Computer Interfaces (BCIs) have revolutionized neuroscience applications, from motor rehabilitation to neuroergonomics. Traditional implantable BCIs with invasive microelectrode arrays pose challenges, notably the need for wired connections and inherent implantation risks. This paper introduces a battery-free…
Authors not listed
A versatile protocol for fabricating ultramicroelectrodes (UMEs) with precise geometry is presented. This new method produces highly concentric UMEs with micron-sized electroactive wires sealed in a thin borosilicate sheath. The method also permits easy repolishing without significantly changing the electrode…
Zabir Ahmed, Xiang Li, Kanika Sarna, Harshvardhan Gupta + 2 more
Large-scale neural recording with high spatio-temporal resolution is essential for understanding information processing in brain, yet current neural interfaces fall far short of comprehensively capturing brain activity due to extremely high neuronal density and limited scalability. Although recent advances have…
Andrew Cochran, Harshvardhan Gupta, Vishal Jain, Maysamreza Chamanzar + 1 more
We introduce a novel electro-optomechanic neural sensor for realizing ultra-compact neural recording probes that can detect and relay electrophysiology signals from within neural tissue. This technology addresses outstanding challenges faced by existing neural recording technologies, including the resolution trade-off…