A high-density carbon fiber neural recording array technology.

Abstract:

OBJECTIVE:Microwire and Utah-style neural recording arrays are the predominant devices used for cortical neural recording, but the implanted electrodes cause a significant adverse biological response and suffer from well-studied performance degradation. Recent work has demonstrated that carbon fiber electrodes do not elicit this same adverse response, but these existing designs are not practically scalable to hundreds or thousands of recording sites. We present technology that overcomes these issues while additionally providing fine electrode pitch for spatial oversampling. APPROACH:We present a 32-channel carbon fiber monofilament-based intracortical neural recording array fabricated through a combination of bulk silicon microfabrication processing and microassembly. This device represents the first truly two-dimensional carbon fiber neural recording array. The density, channel count, and size scale of this array are enabled by an out-of-plane microassembly technique in which individual fibers are inserted through metallized and isotropically conductive adhesive-filled holes in an oxide-passivated microfabricated silicon substrate. MAIN RESULTS:Five-micron diameter fibers are spaced at a pitch of 38 microns, four times denser than state of the art one-dimensional arrays. The fine diameter of the carbon fibers affords both minimal cross-section and nearly three orders of magnitude greater lateral compliance than standard tungsten microwires. Typical [Formula: see text] impedances are on the order of hundreds of kiloohms, and successful in vivo recording is demonstrated in the motor cortex of a rat. 22 total units are recorded on 20 channels, with unit SNR ranging from 1.4 to 8.0. SIGNIFICANCE:This is the highest density microwire-style electrode array to date, and this fabrication technique is scalable to a larger number of electrodes and allows for the potential future integration of microelectronics. Large-scale carbon fiber neural recording arrays are a promising technology for reducing the inflammatory response and increasing the information density, particularly in neural recording applications where microwire arrays are already used.

journal_name

J Neural Eng

authors

Massey TL,Santacruz SR,Hou JF,Pister KSJ,Carmena JM,Maharbiz MM

doi

10.1088/1741-2552/aae8d9

subject

Has Abstract

pub_date

2019-02-01 00:00:00

pages

016024

issue

1

eissn

1741-2560

issn

1741-2552

journal_volume

16

pub_type

杂志文章
  • Low-intensity pulsed ultrasound modulates multi-frequency band phase synchronization between LFPs and EMG in mice.

    abstract:OBJECTIVE:Low-intensity pulsed ultrasound stimulation (LIPUS) targeted to the mouse motor cortex can simultaneously induce local field potentials (LFPs) and electromyogram (EMG) responses. However, the functional coupling relationship between LFP and EMG signals has not been elucidated to date. This study aimed to inve...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab0879

    authors: Wang Y,Xie P,Zhou S,Wang X,Yuan Y

    更新日期:2019-04-01 00:00:00

  • Autoencoders for learning template spectrograms in electrocorticographic signals.

    abstract:OBJECTIVE:Electrocorticography (ECoG) based studies generally analyze features from specific frequency bands selected by manual evaluation of spectral power. However, the definition of these features can vary across subjects, cortical areas, tasks and across time for a given subject. We propose an autoencoder based app...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aaf13f

    authors: Pailla T,Miller KJ,Gilja V

    更新日期:2019-02-01 00:00:00

  • Correspondence between visual and electrical input filters of ON and OFF mouse retinal ganglion cells.

    abstract:OBJECTIVE:Over the past two decades retinal prostheses have made major strides in restoring functional vision to patients blinded by diseases such as retinitis pigmentosa. Presently, implants use single pulses to activate the retina. Though this stimulation paradigm has proved beneficial to patients, an unresolved prob...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aa722c

    authors: Sekhar S,Jalligampala A,Zrenner E,Rathbun DL

    更新日期:2017-08-01 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

  • Neuromusculoskeletal model self-calibration for on-line sequential bayesian moment estimation.

    abstract:OBJECTIVE:Neuromusculoskeletal models involve many subject-specific physiological parameters that need to be adjusted to adequately represent muscle properties. Traditionally, neuromusculoskeletal models have been calibrated with a forward-inverse dynamic optimization which is time-consuming and unfeasible for rehabili...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aa58f5

    authors: Bueno DR,Montano L

    更新日期:2017-04-01 00:00:00

  • Transducer modeling for accurate acoustic simulations of transcranial focused ultrasound stimulation.

    abstract:OBJECTIVE:Low-intensity transcranial ultrasound stimulation (TUS) is emerging as a non-invasive brain stimulation technique with superior spatial resolution and the ability to reach deep brain areas. Medical image-based computational modeling could be an important tool for individualized TUS dose control and targeting ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab98dc

    authors: Pasquinelli C,Montanaro H,Lee HJ,Hanson LG,Kim H,Kuster N,Siebner HR,Neufeld E,Thielscher A

    更新日期:2020-07-13 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

  • Performance predictors of brain-computer interfaces in patients with amyotrophic lateral sclerosis.

    abstract:OBJECTIVE:Patients with amyotrophic lateral sclerosis (ALS) may benefit from brain-computer interfaces (BCI), but the utility of such devices likely will have to account for the functional, cognitive, and behavioral heterogeneity of this neurodegenerative disorder. APPROACH:In this study, a heterogeneous group of pati...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/13/2/026002

    authors: Geronimo A,Simmons Z,Schiff SJ

    更新日期:2016-04-01 00:00:00

  • On the risk of extracting relevant information from random data.

    abstract::This comment constitutes a re-assessment of a recent study in which near-infrared spectroscopy (NIRS) was used to decode decision making. In the original study, the process of feature selection was carried out on all of the data, and those features which displayed the greater classification accuracy were selected, but...

    journal_title:Journal of neural engineering

    pub_type: 评论,杂志文章

    doi:10.1088/1741-2560/6/5/058001

    authors: Dominguez LG

    更新日期:2009-10-01 00:00:00

  • Concurrent control of a brain-computer interface and natural overt movements.

    abstract:OBJECTIVE:A primary control signal in brain-computer interfaces (BCIs) have been cortical signals related to movement. However, in cases where natural motor function remains, BCI control signals may interfere with other possibly simultaneous activity for useful ongoing movement. We sought to determine if the brain coul...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aadf3d

    authors: Bashford L,Wu J,Sarma D,Collins K,Rao RPN,Ojemann JG,Mehring C

    更新日期:2018-12-01 00:00:00

  • Myoelectric control with abstract decoders.

    abstract:OBJECTIVE:The objective of this study was to compare the use of muscles appropriate for partial-hand prostheses with those typically used for complete hand devices and to determine whether differences in their underlying neural substrates translate to different levels of myoelectric control. APPROACH:We developed a no...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aacbfe

    authors: Dyson M,Barnes J,Nazarpour K

    更新日期:2018-10-01 00:00:00

  • Stimulation strategies for selective activation of retinal ganglion cell soma and threshold reduction.

    abstract:OBJECTIVE:Retinal prosthetic implants restore partial vision to patients blinded due to outer retinal degeneration, using a camera-guided multielectrode array (MEA) that electrically stimulates surviving retinal neurons. Commercial epi-retinal prostheses use millisecond-scale charge-balanced, symmetric, cathodic-first ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aaf92b

    authors: Chang YC,Haji Ghaffari D,Chow RH,Weiland JD

    更新日期:2019-04-01 00:00:00

  • Multiband tangent space mapping and feature selection for classification of EEG during motor imagery.

    abstract:OBJECTIVE:When designing multiclass motor imagery-based brain-computer interface (MI-BCI), a so-called tangent space mapping (TSM) method utilizing the geometric structure of covariance matrices is an effective technique. This paper aims to introduce a method using TSM for finding accurate operational frequency bands r...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aac313

    authors: Islam MR,Tanaka T,Molla MKI

    更新日期:2018-08-01 00:00:00

  • Ten-dimensional anthropomorphic arm control in a human brain-machine interface: difficulties, solutions, and limitations.

    abstract:OBJECTIVE:In a previous study we demonstrated continuous translation, orientation and one-dimensional grasping control of a prosthetic limb (seven degrees of freedom) by a human subject with tetraplegia using a brain-machine interface (BMI). The current study, in the same subject, immediately followed the previous work...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/12/1/016011

    authors: Wodlinger B,Downey JE,Tyler-Kabara EC,Schwartz AB,Boninger ML,Collinger JL

    更新日期:2015-02-01 00:00:00

  • Decoder calibration with ultra small current sample set for intracortical brain-machine interface.

    abstract:OBJECTIVE:Intracortical brain-machine interfaces (iBMIs) aim to restore efficient communication and movement ability for paralyzed patients. However, frequent recalibration is required for consistency and reliability, and every recalibration will require relatively large most current sample set. The aim in this study i...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aaa8a4

    authors: Zhang P,Ma X,Chen L,Zhou J,Wang C,Li W,He J

    更新日期:2018-04-01 00:00:00

  • Functional consequences of model complexity in rhythmic systems: II. Systems performance of model and hybrid oscillators.

    abstract::Neural models are increasingly being used as design components of physical systems. In order to best use models in these novel contexts, we must develop design rules that describe how decisions in model construction relate to the functional performance of the resulting system. In the accompanying paper, we described a...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/4/3/003

    authors: Sorensen ME,DeWeerth SP

    更新日期:2007-09-01 00:00:00

  • On robust parameter estimation in brain-computer interfacing.

    abstract:OBJECTIVE:The reliable estimation of parameters such as mean or covariance matrix from noisy and high-dimensional observations is a prerequisite for successful application of signal processing and machine learning algorithms in brain-computer interfacing (BCI). This challenging task becomes significantly more difficult...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aa8232

    authors: Samek W,Nakajima S,Kawanabe M,Müller KR

    更新日期:2017-12-01 00:00:00

  • A MEMS-based flexible multichannel ECoG-electrode array.

    abstract::We present a micromachined 252-channel ECoG (electrocorticogram)-electrode array, which is made of a thin polyimide foil substrate enclosing sputtered platinum electrode sites and conductor paths. The array subtends an area of approximately 35 mm by 60 mm and is designed to cover large parts of a hemisphere of a macaq...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/6/3/036003

    authors: Rubehn B,Bosman C,Oostenveld R,Fries P,Stieglitz T

    更新日期:2009-06-01 00:00:00

  • The statistical distribution of noisy transmission in human sensors.

    abstract:OBJECTIVE:Brains, like other physical devices, are inherently noisy. This source of variability is large, to the extent that internal noise often impacts human sensory processing more than externally induced (stimulus-driven) perturbations. Despite the fundamental nature of this phenomenon, its statistical distribution...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章,随机对照试验

    doi:10.1088/1741-2560/10/1/016014

    authors: Neri P

    更新日期:2013-02-01 00:00:00

  • Brain-actuated gait trainer with visual and proprioceptive feedback.

    abstract:OBJECTIVE:Brain-machine interfaces (BMIs) have been proposed in closed-loop applications for neuromodulation and neurorehabilitation. This study describes the impact of different feedback modalities on the performance of an EEG-based BMI that decodes motor imagery (MI) of leg flexion and extension. APPROACH:We execute...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aa7df9

    authors: Liu D,Chen W,Lee K,Chavarriaga R,Bouri M,Pei Z,Del R Millán J

    更新日期:2017-10-01 00:00:00

  • Responses of rabbit retinal ganglion cells to electrical stimulation with an epiretinal electrode.

    abstract::Rational selection of electrical stimulus parameters for an electronic retinal prosthesis requires knowledge of the electrophysiological responses of retinal neurons to electrical stimuli. In this study, we examined the effects of cathodal and anodal current pulses on the extracellularly recorded responses of OFF and ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/2/1/003

    authors: Jensen RJ,Ziv OR,Rizzo JF

    更新日期:2005-03-01 00:00:00

  • VITA-an everyday virtual reality setup for prosthetics and upper-limb rehabilitation.

    abstract:OBJECTIVE:Currently, there are some 95 000 people in Europe suffering from upper-limb impairment. Rehabilitation should be undertaken right after the impairment occurs and should be regularly performed thereafter. Moreover, the rehabilitation process should be tailored specifically to both patient and impairment. APPR...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aaf35f

    authors: Nissler C,Nowak M,Connan M,Büttner S,Vogel J,Kossyk I,Márton ZC,Castellini C

    更新日期:2019-04-01 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

  • Characterization of evoked tactile sensation in forearm amputees with transcutaneous electrical nerve stimulation.

    abstract:OBJECTIVE:The goal of this study is to characterize the phenomenon of evoked tactile sensation (ETS) on the stump skin of forearm amputees using transcutaneous electrical nerve stimulation (TENS). APPROACH:We identified the projected finger map (PFM) of ETS on the stump skin in 11 forearm amputees, and compared percep...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/12/6/066002

    authors: Chai G,Sui X,Li S,He L,Lan N

    更新日期:2015-12-01 00:00:00

  • 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

  • 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

  • Influence of proprioceptive feedback on the firing rate and recruitment of motoneurons.

    abstract::We investigated the relationships of the firing rate and maximal recruitment threshold of motoneurons recorded during isometric contraction with the number of spindles in individual muscles. At force levels above 10% of maximal voluntary contraction, the firing rate was inversely related to the number of spindles in a...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/9/1/016007

    authors: De Luca CJ,Kline JC

    更新日期:2012-02-01 00:00:00

  • The noise and impedance of microelectrodes.

    abstract:OBJECTIVE:While the positive correlation between impedance and noise of microelectrodes is well known, their quantitative relationship is too rarely described. Knowledge of this relationship provides useful information for both microsystems engineers and electrophysiologists. APPROACH:We discuss the physical basis of ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/abb3b4

    authors: Mierzejewski M,Steins H,Kshirsagar P,Jones PD

    更新日期:2020-10-15 00:00:00

  • Neural engineering: the process, applications, and its role in the future of medicine.

    abstract:OBJECTIVE:Recent advances in neural engineering have restored mobility to people with paralysis, relieved symptoms of movement disorders, reduced chronic pain, restored the sense of hearing, and provided sensory perception to individuals with sensory deficits. APPROACH:This progress was enabled by the team-based, inte...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章,评审

    doi:10.1088/1741-2552/ab4869

    authors: Ereifej ES,Shell CE,Schofield JS,Charkhkar H,Cuberovic I,Dorval AD,Graczyk EL,Kozai TDY,Otto KJ,Tyler DJ,Welle CG,Widge AS,Zariffa J,Moritz CT,Bourbeau DJ,Marasco PD

    更新日期:2019-11-12 00:00:00

  • Digital filters for low-latency quantification of brain rhythms in real time.

    abstract:OBJECTIVE:The rapidly developing paradigm of closed-loop neuroscience has extensively employed brain rhythms as the signal forming real-time neurofeedback, triggering brain stimulation, or governing stimulus selection. However, the efficacy of brain rhythm contingent paradigms suffers from significant delays related to...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab890f

    authors: Smetanin N,Belinskaya A,Lebedev M,Ossadtchi A

    更新日期:2020-08-04 00:00:00