Stability of the chronic multichannel recording neuron signals

Lin, W.; Tillery, Stephen Helms; He, Jiping

doi:10.1109/iembs.2003.1280177

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…This is expected as the cells were recorded for a maximum of 46 days. It has been reported that "stable recordings" for periods longer than 6 months can exist [4] [6], where the recording period in this study is relatively short. There are two possible mechanisms for the slow changes; slow drift of electrode through the tissue, which explains an increase or decrease in average amplitude as the electrode moves closer or further away from the cell body.…”

Section: Discussionmentioning

confidence: 95%

“…It was reported that half of the neurons recorded exhibited systematic changes as Manuscript a function of interspike intervals. Lin et al [4] studied the stability of neural recordings of motor cortex neurons, recorded in the behaving monkey. The recording employed in the study included well isolated cells and spanned over 3 years.…”

Section: Introductionmentioning

confidence: 99%

“…In studying variability of spike waveforms it is difficult to determine if a single cell is recorded over long period of time, hence some studies consider the "stablecells" [4]- [5] where the waveform is distinct and does not fluctuate largely. To overcome these challenges in this study we examined the variability of the spikes generated by place cells within and between recording sessions.…”

Section: Introductionmentioning

confidence: 99%

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A waveform independent cell identification method to study long-term variability of spike recordings

Chah

Hok

O’Mara

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Extracellular potential recordings are important in neuroscience; however the variability of spike waveforms has not been extensively studied to date. This study examines the variability of spike recordings within and between sessions. Place cell recordings were used in order to identify the cells across successive sessions. Place cells allow neuron spike recordings to be identified across different sessions using place fields, which are independent of the cell's spike waveform. The results show that the distribution of the residues within a session does not follow a normal distribution, a t-distribution is more suitable. The results also show that the amplitude of the spikes can vary largely between successive sessions (up to 47%), this is an important factor to be considered in long term spike recording systems.

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Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A waveform independent cell identification method to study long-term variability of spike recordings

Chah

Hok

O’Mara

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Intracortical Microelectrode Array Unit Yield under Chronic Conditions: A Comparative Evaluation

et al. 2021

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While microelectrode arrays (MEAs) offer the promise of elucidating functional neural circuitry and serve as the basis for a cortical neuroprosthesis, the challenge of designing and demonstrating chronically reliable technology remains. Numerous studies report “chronic” data but the actual time spans and performance measures corresponding to the experimental work vary. In this study, we reviewed the experimental durations that constitute chronic studies across a range of MEA types and animal species to gain an understanding of the widespread variability in reported study duration. For rodents, which are the most commonly used animal model in chronic studies, we examined active electrode yield (AEY) for different array types as a means to contextualize the study duration variance, as well as investigate and interpret the performance of custom devices in comparison to conventional MEAs. We observed wide-spread variance within species for the chronic implantation period and an AEY that decayed linearly in rodent models that implanted commercially-available devices. These observations provide a benchmark for comparing the performance of new technologies and highlight the need for consistency in chronic MEA studies. Additionally, to fully derive performance under chronic conditions, the duration of abiotic failure modes, biological processes induced by indwelling probes, and intended application of the device are key determinants.

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Stability of the chronic multichannel recording neuron signals

Cited by 2 publications

References 5 publications

A waveform independent cell identification method to study long-term variability of spike recordings

A waveform independent cell identification method to study long-term variability of spike recordings

Intracortical Microelectrode Array Unit Yield under Chronic Conditions: A Comparative Evaluation

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