14 papers · ranked by Valyu relevance
Maddie R. Lemieux, Bernhard Freigassner, Zahra Thathey, Mark R. Opp + 2 more
Human induced pluripotent stem cells (hiPSCs) derived into neurons offer a powerful in vitro model to study cellular processes. One method to characterize functional network properties of these cells is using multielectrode arrays (MEAs). MEAs can measure the electrophysiological activity of cellular cultures for…
Chumin Sun, K.C. Lin, Yu-Ting Huang, Emily S.C. Ching + 2 more
Studying connectivity of neuronal cultures can provide insights for understanding brain networks but it is challenging to reveal neuronal connectivity from measurements. We apply a novel method that uses a theoretical relation between the time-lagged cross-covariance and the equal-time cross-covariance to reveal…
Viktor M. Eisenkolb, Lisa M. Held, Alexander Utzschmid, Xiao-Xiong Lin + 4 more
Human single-unit studies currently rely on neurosurgical procedures that provide only limited brain coverage and on recording devices that do not integrate easily into established surgical routines. Here, we report reliable and robust acute multi-channel recordings with broad cortical access using planar…
Alice Tor, Stephen E Clarke, Iliana E Bray, Paul Nuyujukian
The quality of stable long-term recordings from chronically implanted electrode arrays is essential for experimental neuroscience and brain-computer interfaces. This work uses scanning electron microscopy (SEM) to image and analyze eight 96-channel Utah arrays previously implanted in motor cortical regions of four…
Gerard O’Leary, Iouri Khramtsov, Rakshith Ramesh, Aidan Perez-Ignacio + 5 more
Bioelectronic interfaces have the potential to revolutionize the treatment of medical disorders and augment physiology. Implantable devices such as pacemakers and deep brain stimulators have already been deployed to control activity in diseases including Parkinson’s disease and epilepsy. These devices typically operate…
Daniel J. O’Shea, Krishna V. Shenoy
Electrical stimulation is a widely used and effective tool in systems neuroscience, neural prosthetics, and clinical neurostimulation. However, electrical artifacts evoked by stimulation significantly complicate the detection of spiking activity on nearby recording electrodes. Here, we present ERAASR: an algorithm for…
Alice Tor, Stephen E Clarke, Iliana E Bray, Paul Nuyujukian
The quality of stable long-term recordings from chronically implanted electrode arrays is essential for experimental neu-roscience and brain-computer interfaces. This work uses scanning electron microscopy (SEM) to image and analyze eight 96-channel Utah arrays previously implanted in motor cortical regions of four…
Elton Ho, Mark Hettick, Demetrios Papageorgiou, Adam J. Poole + 7 more
Progress toward the development of brain–computer interfaces has signaled the potential to restore, replace, or augment lost or impaired neurological function in a variety of disease states. Existing brain–computer interfaces rely on invasive surgical procedures or brain-penetrating electrodes, which limit addressable…
Amin Sandoughsaz Zardini, Behnoush Rostami, Khalil Najafi, Vaughn L. Hetrick + 1 more
In this work, we propose a new silicon-based micro-fabrication technology to fabricate 3D high-density high-electrode-count neural micro-probe arrays scalable to thousands and even millions of individual electrodes with user-defined length, width, shape, and tip profile. This unique technology utilizes DRIE of…
Flávio Afonso Gonçalves Mourão, Leonardo de Oliveira Guarnieri, Paulo Aparecido Amaral Júnior, Vinícius Rezende Carvalho + 2 more
Electrophysiological recordings lead amongst the techniques that aim to investigate the dynamics of neural activity sampled from large neural ensembles. However, the financial costs associated with the state-of-the-art technology used to manufacture probes and multi-channel recording systems make these experiments…
E. Giraud, M. Lynn, P. Vincent-Lamarre, J-C. Béïque + 1 more
Large-scale extracellular recording techniques represent a major advance in interrogating the structure and dynamics of neuronal circuits. However, methods that can resolve cell-type identity in a principled way, while simultaneously scaling to thousands of neurons, are currently lacking. Here, we introduce spikeMAP, a…
Chris Acha, Derosh George, Lauren C. Diaz, Ziwei Ouyang + 11 more
Neural organoids (NOs) have emerged as important tissue engineering models for brain sciences and biocomputing. Establishing reliable relationships between stimulation and recording traces of electrical activity is essential to monitor the functionality of NOs, especially as it relates to realizing biocomputing…
M. Jung, J. Abu Shihada, S. Decke, L. Koschinski + 7 more
Three-dimensional (3D) microelectrode arrays (MEAs) are gaining popularity as brain-machine interfaces and platforms for studying electrophysiological activity. Interactions with neural tissue depend on the electrochemical, mechanical, and spatial features of the recording platform. While planar or protruding…
Li Ding, Aashvi Patel, Sneha Shankar, Nicolette Driscoll + 4 more
Electroencephalography (EEG) is an indispensable tool in epilepsy, sleep, and behavioral research. In rodents, EEG recordings are typically performed with metal electrodes that traverse the skull into the epidural space. In addition to requiring a major surgery, this intracranial EEG technique is difficult to perform…