Carbon nanotube composite coating of neural microelectrodes preferentially improves the multiunit signal-to-noise ratio.

Abstract:

:Extracellular metal microelectrodes are widely used to record single neuron activity in vivo. However, their signal-to-noise ratio (SNR) is often far from optimal due to their high impedance value. It has been recently reported that carbon nanotube (CNT) coatings may decrease microelectrode impedance, thus improving their performance. To tease out the different contributions to SNR of CNT-coated microelectrodes we carried out impedance and noise spectroscopy measurements of platinum/tungsten microelectrodes coated with a polypyrrole-CNT composite. Neuronal signals were recorded in vivo from rat cortex by employing tetrodes with two recording sites coated with polypyrrole-CNT and the remaining two left untreated. We found that polypyrrole-CNT coating significantly reduced the microelectrode impedance at all neuronal signal frequencies (from 1 to 10 000 Hz) and induced a significant improvement of the SNR, up to fourfold on average, in the 150-1500 Hz frequency range, largely corresponding to the multiunit frequency band. An equivalent circuit, previously proposed for porous conducting polymer coatings, reproduced the impedance spectra of our coated electrodes but could not explain the frequency dependence of SNR improvement following polypyrrole-CNT coating. This implies that neither the neural signal amplitude, as recorded by a CNT-coated metal microelectrode, nor noise can be fully described by the equivalent circuit model we used here and suggests that a more detailed approach may be needed to better understand the signal propagation at the electrode-solution interface. Finally, the presence of significant noise components that are neither thermal nor electronic makes it difficult to establish a direct relationship between the actual electrode noise and the impedance spectra.

journal_name

J Neural Eng

authors

Baranauskas G,Maggiolini E,Castagnola E,Ansaldo A,Mazzoni A,Angotzi GN,Vato A,Ricci D,Panzeri S,Fadiga L

doi

10.1088/1741-2560/8/6/066013

subject

Has Abstract

pub_date

2011-12-01 00:00:00

pages

066013

issue

6

eissn

1741-2560

issn

1741-2552

pii

S1741-2560(11)01571-0

journal_volume

8

pub_type

杂志文章
  • Inhibition of neuronal cell-cell adhesion measured by the microscopic aggregation assay and impedance sensing.

    abstract::Microscopic aggregation assay and impedance sensing (IS) were used to monitor a change in in vitro neuron-neuron adhesion in response to blocking of cell adhesion molecules. By blocking neuron-neuron adhesion, migration and aggregation of neuronal cells can be inhibited. This leads to better control of spatial arrange...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/7/5/056003

    authors: Wiertz RW,Marani E,Rutten WL

    更新日期:2010-10-01 00:00:00

  • Neural correlates of speech quality dimensions analyzed using electroencephalography (EEG).

    abstract:OBJECTIVE:By means of subjective psychophysical methods, quality of transmitted speech has been decomposed into three perceptual dimensions named 'discontinuity' (F), 'noisiness' (N) and 'coloration' (C). Previous studies using electroencephalography (EEG) already reported effects of perceived intensity of single quali...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aaf122

    authors: Uhrig S,Mittag G,Möller S,Voigt-Antons JN

    更新日期:2019-06-01 00:00:00

  • Evaluation of windowing techniques for intramuscular EMG-based diagnostic, rehabilitative and assistive devices.

    abstract:OBJECTIVE:Intramuscular electromyography (iEMG) signals, non-invasively recorded, directly from the muscles are used to diagnose various neuromuscular disorders/diseases, also to control rehabilitative and assistive robotic devices. iEMG signals are being potentially used in neurology, kinesiology, rehabilitation, and ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/abcc7f

    authors: Ashraf H,Waris A,Gilani SO,Kashif AS,Jamil M,Jochumsen M,Niazi IK

    更新日期:2020-11-20 00:00:00

  • Modeling deep brain stimulation: point source approximation versus realistic representation of the electrode.

    abstract::Deep brain stimulation (DBS) has emerged as an effective treatment for movement disorders; however, the fundamental mechanisms by which DBS works are not well understood. Computational models of DBS can provide insights into these fundamental mechanisms and typically require two steps: calculation of the electrical po...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/7/6/066009

    authors: Zhang TC,Grill WM

    更新日期:2010-12-01 00:00:00

  • Facilitating stochastic resonance as a pre-emphasis method for neural spike detection.

    abstract:OBJECTIVE:We aim to increase the number of neural spikes that can be detected in a single channel extracellular neural recording. APPROACH:We propose a pre-emphasis method facilitating stochastic resonance (SR), where we introduce the band-pass-filtered noisy extracellular recording to an overdamped Brownian particle ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/abae8a

    authors: Güngör CB,Töreyin H

    更新日期:2020-09-18 00:00:00

  • Understanding ultrasound neuromodulation using a computationally efficient and interpretable model of intramembrane cavitation.

    abstract:OBJECTIVE:Low-intensity focused ultrasound stimulation (LIFUS) emerges as an attracting technology for noninvasive modulation of neural circuits, yet the underlying action mechanisms remain unclear. The neuronal intramembrane cavitation excitation (NICE) model suggests that LIFUS excites neurons through a complex inter...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab1685

    authors: Lemaire T,Neufeld E,Kuster N,Micera S

    更新日期:2019-08-01 00:00:00

  • Anatomical and technical factors affecting the neural response to epidural spinal cord stimulation.

    abstract:OBJECTIVE:Spinal cord stimulation (SCS) is a common neurostimulation therapy to treat chronic pain. Computational models represent a valuable tool to study the potential mechanisms of action of SCS and to optimize the design and implementation of SCS technologies. However, it is imperative that these computational mode...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab8fc4

    authors: Zander HJ,Graham RD,Anaya CJ,Lempka SF

    更新日期:2020-06-12 00:00:00

  • A gait stability investigation into FES-assisted paraplegic walking based on the walker tipping index.

    abstract::The gait outcome measures used in clinical trials of paraplegic locomotor training determine the effectiveness of improved walking function assisted by the functional electrical stimulation (FES) system. Focused on kinematic, kinetic or physiological changes of paraplegic patients, traditional methods cannot quantify ...

    journal_title:Journal of neural engineering

    pub_type: 临床试验,杂志文章

    doi:10.1088/1741-2560/6/6/066007

    authors: Ming D,Bai Y,Liu X,Qi H,Cheng L,Wan B,Hu Y,Wong Y,Luk KD,Leong JC

    更新日期:2009-12-01 00:00:00

  • Analysis of the quasi-static approximation for calculating potentials generated by neural stimulation.

    abstract::In models of electrical stimulation of the nervous system, the electric potential is typically calculated using the quasi-static approximation. The quasi-static approximation allows Maxwell's equations to be simplified by ignoring capacitive, inductive and wave propagation contributions to the potential. While this si...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/5/1/005

    authors: Bossetti CA,Birdno MJ,Grill WM

    更新日期:2008-03-01 00:00:00

  • Probabilistic co-adaptive brain-computer interfacing.

    abstract:OBJECTIVE:Brain-computer interfaces (BCIs) are confronted with two fundamental challenges: (a) the uncertainty associated with decoding noisy brain signals, and (b) the need for co-adaptation between the brain and the interface so as to cooperatively achieve a common goal in a task. We seek to mitigate these challenges...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/10/6/066008

    authors: Bryan MJ,Martin SA,Cheung W,Rao RP

    更新日期:2013-12-01 00:00:00

  • Optimizing the design of bipolar nerve cuff electrodes for improved recording of peripheral nerve activity.

    abstract:OBJECTIVE:Differential measurement of efferent and afferent peripheral nerve activity offers a promising means of improving the clinical utility of implantable neuroprostheses. The tripolar nerve cuff electrode has historically served as the gold standard for achieving high signal-to-noise ratios (SNRs) of the recordin...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aa6407

    authors: Sabetian P,Popovic MR,Yoo PB

    更新日期:2017-06-01 00:00:00

  • Photovoltaic retinal prosthesis: implant fabrication and performance.

    abstract::The objective of this work is to develop and test a photovoltaic retinal prosthesis for restoring sight to patients blinded by degenerative retinal diseases. A silicon photodiode array for subretinal stimulation has been fabricated by a silicon-integrated-circuit/MEMS process. Each pixel in the two-dimensional array c...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/9/4/046014

    authors: Wang L,Mathieson K,Kamins TI,Loudin JD,Galambos L,Goetz G,Sher A,Mandel Y,Huie P,Lavinsky D,Harris JS,Palanker DV

    更新日期:2012-08-01 00:00:00

  • Applying dynamic data collection to improve dry electrode system performance for a P300-based brain-computer interface.

    abstract:OBJECTIVE:Dry electrodes have an advantage over gel-based 'wet' electrodes by providing quicker set-up time for electroencephalography recording; however, the potentially poorer contact can result in noisier recordings. We examine the impact that this may have on brain-computer interface communication and potential app...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/13/6/066018

    authors: Clements JM,Sellers EW,Ryan DB,Caves K,Collins LM,Throckmorton CS

    更新日期:2016-12-01 00:00:00

  • Informed consent in implantable BCI research: identification of research risks and recommendations for development of best practices.

    abstract:OBJECTIVE:Implantable brain-computer interface (BCI) research promises improvements in human health and enhancements in quality of life. Informed consent of subjects is a central tenet of this research. Rapid advances in neuroscience, and the intimate connection between functioning of the brain and conceptions of the s...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章,评审

    doi:10.1088/1741-2560/13/4/043001

    authors: Klein E,Ojemann J

    更新日期:2016-08-01 00:00:00

  • Transparent, low-autofluorescence microECoG device for simultaneous Ca2+ imaging and cortical electrophysiology in vivo.

    abstract:OBJECTIVE:Multimodal neuroimaging approaches are beneficial to discover brain functionalities at high spatial and temporal resolution. In our work, a novel material composition of a microECoG device relying on Parylene HT and indium-tin-oxide (ITO) is presented, which facilitates two-photon imaging of Ca2+ signals and ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab603f

    authors: Zátonyi A,Madarász M,Szabó Á,Lőrincz T,Hodován R,Rózsa B,Fekete Z

    更新日期:2020-02-18 00:00:00

  • Stability and selectivity of a chronic, multi-contact cuff electrode for sensory stimulation in human amputees.

    abstract:OBJECTIVE:Stability and selectivity are important when restoring long-term, functional sensory feedback in individuals with limb-loss. Our objective is to demonstrate a chronic, clinical neural stimulation system for providing selective sensory response in two upper-limb amputees. APPROACH:Multi-contact cuff electrode...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/12/2/026002

    authors: Tan DW,Schiefer MA,Keith MW,Anderson JR,Tyler DJ

    更新日期:2015-04-01 00:00:00

  • Scanning electron microscopy of chronically implanted intracortical microelectrode arrays in non-human primates.

    abstract:OBJECTIVE:Signal attenuation is a major problem facing intracortical sensors for chronic neuroprosthetic applications. Many studies suggest that failure is due to gliosis around the electrode tips, however, mechanical and material causes of failure are often overlooked. The purpose of this study was to investigate the ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/13/2/026003

    authors: Barrese JC,Aceros J,Donoghue JP

    更新日期:2016-04-01 00:00:00

  • The spatial and temporal characteristics of the apparent-diffusion-coefficient-dependent fMRI signal changes during visual stimulation.

    abstract::The blood oxygenation level dependent (BOLD) contrast has been commonly used to detect fMRI signal. The majority of the BOLD signals are believed to arise from the venous and capillary networks. However, only those from the capillaries are spatially close to the neuronal activities, while the signals from large veins ...

    journal_title:Journal of neural engineering

    pub_type: 临床试验,杂志文章

    doi:10.1088/1741-2560/1/1/005

    authors: Song AW,Gangstead SL

    更新日期:2004-03-01 00:00:00

  • Symbolic time series analysis of fNIRS signals in brain development assessment.

    abstract:OBJECTIVE:Assessing an infant's brain development remains a challenge for neuroscientists and pediatricians despite great technological advances. As a non-invasive neuroimaging tool, functional near-infrared spectroscopy (fNIRS) has great advantages in monitoring an infant's brain activity. To explore the dynamic featu...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aae0c9

    authors: Liang Z,Minagawa Y,Yang HC,Tian H,Cheng L,Arimitsu T,Takahashi T,Tong Y

    更新日期:2018-12-01 00:00:00

  • Effects of stimulation frequency and stimulation waveform on steady-state visual evoked potentials using a computer monitor.

    abstract:OBJECTIVE:A visual stimulator plays a vital part in brain-computer interfaces (BCIs) based on steady-state visual evoked potential (SSVEP). The properties of visual stimulation, such as frequency, color, and waveform, will influence SSVEP-based BCI performance to some extent. Recently, the computer monitor serves as a ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab2b7d

    authors: Chen X,Wang Y,Zhang S,Xu S,Gao X

    更新日期:2019-10-10 00:00:00

  • Spatial and temporal variability in response to hybrid electro-optical stimulation.

    abstract::Hybrid electro-optical neural stimulation is a novel paradigm combining the advantages of optical and electrical stimulation techniques while reducing their respective limitations. However, in order to fulfill its promise, this technique requires reduced variability and improved reproducibility. Here we used a compara...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/9/3/036003

    authors: Duke AR,Lu H,Jenkins MW,Chiel HJ,Jansen ED

    更新日期:2012-06-01 00:00:00

  • Acoustoelectric imaging of deep dipoles in a human head phantom for guiding treatment of epilepsy.

    abstract:OBJECTIVE:This study employs a human head model with real skull to demonstrate the feasibility of transcranial acoustoelectric brain imaging (tABI) as a new modality for electrical mapping of deep dipole sources during treatment of epilepsy with much better resolution and accuracy than conventional mapping methods. AP...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/abb63a

    authors: Barragan A,Preston C,Alvarez A,Bera T,Qin Y,Weinand M,Kasoff W,Witte RS

    更新日期:2020-10-30 00:00:00

  • Remapping cortical modulation for electrocorticographic brain-computer interfaces: a somatotopy-based approach in individuals with upper-limb paralysis.

    abstract:OBJECTIVE:Brain-computer interface (BCI) technology aims to provide individuals with paralysis a means to restore function. Electrocorticography (ECoG) uses disc electrodes placed on either the surface of the dura or the cortex to record field potential activity. ECoG has been proposed as a viable neural recording moda...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aa9bfb

    authors: Degenhart AD,Hiremath SV,Yang Y,Foldes S,Collinger JL,Boninger M,Tyler-Kabara EC,Wang W

    更新日期:2018-04-01 00:00:00

  • Speech stream segregation to control an ERP-based auditory BCI.

    abstract:OBJECTIVE:The use of natural sounds in auditory Brain-Computer Interfaces (BCI) has been shown to improve classification results and usability. Some auditory BCIs are based on stream segregation, in which the subjects must attend one audio stream and ignore the other(s); these streams include some kind of stimuli to be...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/abdd44

    authors: Velasco-Álvarez F,Fernández-Rodríguez Á,Medina-Juliá MT,Ron-Angevin R

    更新日期:2021-01-19 00:00:00

  • Adaptive optimal input design and parametric estimation of nonlinear dynamical systems: application to neuronal modeling.

    abstract:OBJECTIVE:Many physical models of biological processes including neural systems are characterized by parametric nonlinear dynamical relations between driving inputs, internal states, and measured outputs of the process. Fitting such models using experimental data (data assimilation) is a challenging task since the phys...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aac3f7

    authors: Madi MK,Karameh FN

    更新日期:2018-08-01 00:00:00

  • Progress in artificial vision through suprachoroidal retinal implants.

    abstract::Retinal implants have proven their ability to restore visual sensation to people with degenerative retinopathy, characterized by photoreceptor cell death and the retina's inability to sense light. Retinal bionics operate by electrically stimulating the surviving neurons in the retina, thus triggering the transfer of v...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章,评审

    doi:10.1088/1741-2552/aa6cbb

    authors: Bareket L,Barriga-Rivera A,Zapf MP,Lovell NH,Suaning GJ

    更新日期:2017-08-01 00:00:00

  • Estimates of distributed coding of visual objects by single neurons in the human brain depend on which spike sorting technique is used.

    abstract:OBJECTIVE:To determine whether the estimated fraction and degree of distribution of visual responsive neurons in human intracranial microwire recordings depends upon the spike sorting method used. APPROACH:A large dataset of human intracranial microwire recordings from four brain areas was sorted into single unit acti...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab6cb8

    authors: Steinmetz PN

    更新日期:2020-04-09 00:00:00

  • Electrophysiology-based detection of emergency braking intention in real-world driving.

    abstract:OBJECTIVE:The fact that all human action is preceded by brain processes partially observable through neuroimaging devices such as electroencephalography (EEG) is currently being explored in a number of applications. A recent study by Haufe et al (2011 J. Neural Eng. 8 056001) demonstrates the possibility of performing ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/11/5/056011

    authors: Haufe S,Kim JW,Kim IH,Sonnleitner A,Schrauf M,Curio G,Blankertz B

    更新日期:2014-10-01 00:00:00

  • Coarse behavioral context decoding.

    abstract:OBJECTIVE:Current brain-computer interface (BCI) studies demonstrate the potential to decode neural signals obtained from structured and trial-based tasks to drive actuators with high performance within the context of these tasks. Ideally, to maximize utility, such systems will be applied to a wide range of behavioral ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aaee9c

    authors: Alasfour A,Gabriel P,Jiang X,Shamie I,Melloni L,Thesen T,Dugan P,Friedman D,Doyle W,Devinsky O,Gonda D,Sattar S,Wang S,Halgren E,Gilja V

    更新日期:2019-02-01 00:00:00

  • Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric.

    abstract:OBJECTIVE:A signal-based metric for assessment of accuracy of motor unit (MU) identification from high-density surface electromyograms (EMG) is introduced. This metric, so-called pulse-to-noise-ratio (PNR), is computationally efficient, does not require any additional experimental costs and can be applied to every MU t...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/11/1/016008

    authors: Holobar A,Minetto MA,Farina D

    更新日期:2014-02-01 00:00:00