Response of brain tissue to chronically implanted neural electrodes.
By Vadim S. Polikov, P. Tresco, W. Reichert. Journal of Neuroscience Methods, 2005
1,897 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Polymers and Plastics
View Paper: https://www.semanticscholar.org/paper/cb117dd89e9c5804eee14106a21bf21675ca7d43
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Karl Deisseroth
- Mikhail A. Lebedev
- Miguel A. L. Nicolelis
- Lief Ericsson Fenno
- Krishna V. Shenoy
- Feng Zhang
- John P. Cunningham
- A. Aravanis
In Cognitive Neuroscience
- John P. Cunningham
- Krishna V. Shenoy
- Mikhail A. Lebedev
- Miguel A. L. Nicolelis
- Karl Deisseroth
- Byron M. Yu
- Mark M. Churchland
- Lief Ericsson Fenno
In Polymers and Plastics
- Dae-Hyeong Kim
- John A. Rogers
- Jeffrey R. Capadona
- K. Shanmuganathan
- Christoph Weder
- Jonathan Rivnay
- Yonggang Huang
- George G. Malliaras
Citations in the corpus
- A high-performance brain–computer interface (2006, background): “Second, a common concern for BCIs such as ours is that as the electrode implant ages the number of recordable neurons declines, leading to a drop in overall performance 19 .”
- Brain-machine interfaces: past, present and future. (2006, background): “However, recording quality often deteriorates, probably owing to a process of electrode encapsulation by fibrous tissue and cell death in the vicinity of the electrode [ 77 ].”
- Flexible, Foldable, Actively Multiplexed, High-Density Electrode Array for Mapping Brain Activity in vivo (2011, background): “These devices can also cause hemorrhage and inflammatory tissue responses from the immediate insertio”
- Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, background): “There is a growing consensus in the literature that research should continue into developing better recording technologies suitable for humans (251, 271, 391, 624, 646).”
- Development of a stimuli-responsive polymer nanocomposite toward biologically optimized, MEMS-based neural probes (2011, background): “Silicon-based intracortical probes are easily inserted into the brain without buckling due to their high Young’s modulus (∼160 GPa), but micromotion between the mechanically dissimilar Si probes and cortical tissue may significantly increase the risk of tissue damage, potentially triggering an immun”
- Progress Towards Biocompatible Intracortical Microelectrodes for Neural Interfacing Applications (2014, background): “Similar to the response in the rest of the body [84, 85], a key feature of the brain’s response to chronically implanted devices is persistent inflammation at the biotic-abiotic interface [99, 106].”
- Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) film (2006, background): “As a result, recordings with the Michigan probe immediately after surgery tend to be strong [55, 56].”
- Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex (2011, background): “This has been suggested as the primary mechanism for the degradation of single unit activity over time [27].”
- Next-generation probes, particles, and proteins for neural interfacing (2017, background): “The chronic response [reviewed in previous works (13, 29, 30)] can be caused by a number of factors but is ultimately implicated in neuronal loss and scar formation, as confirmed by Biran and coworkers (31), who compared the chronic response of implantedmicroelectrodes to acute “stab wounds” using t”