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Long-Term Neural Recordings Using MEMS Based Movable Microelectrodes in the Brain

Overview of attention for article published in Frontiers in Neuroengineering, January 2010
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Long-Term Neural Recordings Using MEMS Based Movable Microelectrodes in the Brain
Published in
Frontiers in Neuroengineering, January 2010
DOI 10.3389/fneng.2010.00010
Pubmed ID
Authors

Nathan Jackson, Arati Sridharan, Sindhu Anand, Michael Baker, Murat Okandan, Jit Muthuswamy

Abstract

One of the critical requirements of the emerging class of neural prosthetic devices is to maintain good quality neural recordings over long time periods. We report here a novel MEMS (Micro Electro Mechanical Systems) based technology that can move microelectrodes in the event of deterioration in neural signal to sample a new set of neurons. Microscale electro-thermal actuators are used to controllably move microelectrodes post-implantation in steps of approximately 9 mum. In this study, a total of 12 movable microelectrode chips were individually implanted in adult rats. Two of the twelve movable microelectrode chips were not moved over a period of 3 weeks and were treated as control experiments. During the first 3 weeks of implantation, moving the microelectrodes led to an improvement in the average signal to noise ratio (SNR) from 14.61 +/- 5.21 dB before movement to 18.13 +/- 4.99 dB after movement across all microelectrodes and all days. However, the average root-mean-square values of noise amplitudes were similar at 2.98 +/- 1.22 muV and 3.01 +/- 1.16 muV before and after microelectrode movement. Beyond 3 weeks, the primary observed failure mode was biological rejection of the PMMA (dental cement) based skull mount resulting in the device loosening and eventually falling from the skull. Additionally, the average SNR for functioning devices beyond 3 weeks was 11.88 +/- 2.02 dB before microelectrode movement and was significantly different (p < 0.01) from the average SNR of 13.34 +/- 0.919 dB after movement. The results of this study demonstrate that MEMS based technologies can move microelectrodes in rodent brains in long-term experiments resulting in improvements in signal quality. Further improvements in packaging and surgical techniques will potentially enable movable microelectrodes to record cortical neuronal activity in chronic experiments.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
United States 10 10%
United Kingdom 2 2%
Germany 1 1%
Brazil 1 1%
Chile 1 1%
Belgium 1 1%
Austria 1 1%
Unknown 81 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 28%
Researcher 18 18%
Professor > Associate Professor 11 11%
Student > Bachelor 9 9%
Student > Doctoral Student 7 7%
Other 17 17%
Unknown 9 9%
Readers by discipline Count As %
Engineering 33 34%
Agricultural and Biological Sciences 21 21%
Medicine and Dentistry 13 13%
Neuroscience 9 9%
Materials Science 3 3%
Other 6 6%
Unknown 13 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 April 2023.
All research outputs
#2,514,948
of 23,543,207 outputs
Outputs from Frontiers in Neuroengineering
#12
of 82 outputs
Outputs of similar age
#12,762
of 166,979 outputs
Outputs of similar age from Frontiers in Neuroengineering
#2
of 7 outputs
Altmetric has tracked 23,543,207 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 82 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 166,979 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.