ArticleBiomaterials2015
Mechanical failure modes of chronically implanted planar silicon-based neural probes for laminar recording.
Article in Biomaterials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.
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The trial behind it
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Who cites it
111 citing papers in PubMed.
- Synergistic Mechano-Fluidic Self-Fusion of Poly(Vinyl Alcohol)-Modified Liquid-Metal Particles for Post-Treatment-Free Soft Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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- Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Microglia surveillance is directed toward neuron activation during sustained intracortical microstimulation.Journal of neural engineering · 2026Article
- A Comprehensive Research Dissemination Model for Polymer-Based Neural Interfaces.IEEE transactions on bio-medical engineering · 2026Article
- Reliable AI Platform for Monitoring BCI Caused Brain Injury and Providing Real-Time Protection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Spatial transcriptomics on an expanded dataset at the brain-electrode interface: exploration of variability and identification of novel biomarkers.Frontiers in neuroscience · 2026Article
- Multi-omic spatially resolved analysis of the neuroinflammatory response to intracortical microelectrode arrays.Biomaterials · 2026Article
- Finite element model predicts micromotion-induced strain profiles that correlate with the functional performance of Utah arrays in humans and non-human primates.Journal of neural engineering · 2025Article
- Revolutionizing brain‒computer interfaces: overcoming biocompatibility challenges in implantable neural interfaces.Journal of nanobiotechnology · 2025Review
- Biological and Mechanical Limitations for Chronic Fast-Scan Cyclic Voltammetry Sensor Design.Advanced materials technologies · 2025Article
- Quantifying physical degradation alongside recording and stimulation performance of 980 intracortical microelectrodes chronically implanted in three humans for 956-2130 days.Acta biomaterialia · 2025Article
- Overcoming failure: improving acceptance and success of implanted neural interfaces.Bioelectronic medicine · 2025Review
- Long-Term Neural Recording Performance of PEDOT/CNT/Dexamethasone Coated Electrode Array Implanted in Visual Cortex of Rats.Advanced nanobiomed research · 2025Article
- Electrode Arrays for Detecting and Modulating Deep Brain Neural Information in Primates: A Review.Cyborg and bionic systems (Washington, D.C.) · 2025Review
- Metal-Based Regenerative Strategies for Peripheral Nerve Injuries: From Biodegradable Ion Source to Stable Conductive Implants.Biomaterials research · 2025Review
- Potential of Photoelectric Stimulation with Ultrasmall Carbon Electrode on Neural Tissue: New Directions in Neurostimulation Technology Development.Advanced functional materials · 2024Article
- Quantifying physical degradation alongside recording and stimulation performance of 980 intracortical microelectrodes chronically implanted in three humans for 956-2246 days.medRxiv : the preprint server for health sciences · 2024Article
- Neuronal functional connectivity is impaired in a layer dependent manner near chronically implanted intracortical microelectrodes in C57BL6 wildtype mice.Journal of neural engineering · 2024Article
- Structural, Functional, and Genetic Changes Surrounding Electrodes Implanted in the Brain.Accounts of chemical research · 2024Article
51 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
Funding
Abstract
Penetrating intracortical electrode arrays that record brain activity longitudinally are powerful tools for basic neuroscience research and emerging clinical applications. However, regardless of the technology used, signals recorded by these electrodes degrade over time. The failure mechanisms of these electrodes are understood to be a complex combination of the biological reactive tissue response and material failure of the device over time. While mechanical mismatch between the brain tissue and implanted neural electrodes have been studied as a source of chronic inflammation and performance degradation, the electrode failure caused by mechanical mismatch between different material properties and different structural components within a device have remained poorly characterized. Using Finite Element Model (FEM) we simulate the mechanical strain on a planar silicon electrode. The results presented here demonstrate that mechanical mismatch between iridium and silicon leads to concentrated strain along the border of the two materials. This strain is further focused on small protrusions such as the electrical traces in planar silicon electrodes. These findings are confirmed with chronic in vivo data (133-189 days) in mice by correlating a combination of single-unit electrophysiology, evoked multi-unit recordings, electrochemical impedance spectroscopy, and scanning electron microscopy from traces and electrode sites with our modeling data. Several modes of mechanical failure of chronically implanted planar silicon electrodes are found that result in degradation and/or loss of recording. These findings highlight the importance of strains and material properties of various subcomponents within an electrode array.
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