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1.
J Neural Eng ; 14(2): 026009, 2017 04.
Artigo em Inglês | MEDLINE | ID: mdl-28102827

RESUMO

OBJECTIVE: High channel count electrode arrays allow for the monitoring of large-scale neural activity at high spatial resolution. Implantable arrays featuring many recording sites require compact, high bandwidth front-end electronics. In the present study, we investigated the use of a small, light weight, and low cost digital current-sensing integrated circuit for acquiring cortical surface signals from a 61-channel micro-electrocorticographic (µECoG) array. APPROACH: We recorded both acute and chronic µECoG signal from rat auditory cortex using our novel digital current-sensing headstage. For direct comparison, separate recordings were made in the same anesthetized preparations using an analog voltage headstage. A model of electrode impedance explained the transformation between current- and voltage-sensed signals, and was used to reconstruct cortical potential. We evaluated the digital headstage using several metrics of the baseline and response signals. MAIN RESULTS: The digital current headstage recorded neural signal with similar spatiotemporal statistics and auditory frequency tuning compared to the voltage signal. The signal-to-noise ratio of auditory evoked responses (AERs) was significantly stronger in the current signal. Stimulus decoding based on true and reconstructed voltage signals were not significantly different. Recordings from an implanted system showed AERs that were detectable and decodable for 52 d. The reconstruction filter mitigated the thermal current noise of the electrode impedance and enhanced overall SNR. SIGNIFICANCE: We developed and validated a novel approach to headstage acquisition that used current-input circuits to independently digitize 61 channels of µECoG measurements of the cortical field. These low-cost circuits, intended to measure photo-currents in digital imaging, not only provided a signal representing the local cortical field with virtually the same sensitivity and specificity as a traditional voltage headstage but also resulted in a small, light headstage that can easily be scaled to record from hundreds of channels.


Assuntos
Potenciais de Ação/fisiologia , Amplificadores Eletrônicos , Córtex Auditivo/fisiologia , Eletrocorticografia/instrumentação , Eletrodos Implantados , Microeletrodos , Processamento de Sinais Assistido por Computador/instrumentação , Conversão Análogo-Digital , Animais , Condutividade Elétrica , Eletrocorticografia/métodos , Desenho de Equipamento , Análise de Falha de Equipamento , Retroalimentação , Masculino , Análise em Microsséries/instrumentação , Ratos , Ratos Sprague-Dawley , Reprodutibilidade dos Testes , Sensibilidade e Especificidade
2.
J Neural Eng ; 13(2): 026030-26030, 2016 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-26975462

RESUMO

OBJECTIVE: Micro-electrocorticography (µECoG) offers a minimally invasive neural interface with high spatial resolution over large areas of cortex. However, electrode arrays with many contacts that are individually wired to external recording systems are cumbersome and make recordings in freely behaving rodents challenging. We report a novel high-density 60-electrode system for µECoG recording in freely moving rats. APPROACH: Multiplexed headstages overcome the problem of wiring complexity by combining signals from many electrodes to a smaller number of connections. We have developed a low-cost, multiplexed recording system with 60 contacts at 406 µm spacing. We characterized the quality of the electrode signals using multiple metrics that tracked spatial variation, evoked-response detectability, and decoding value. Performance of the system was validated both in anesthetized animals and freely moving awake animals. MAIN RESULTS: We recorded µECoG signals over the primary auditory cortex, measuring responses to acoustic stimuli across all channels. Single-trial responses had high signal-to-noise ratios (SNR) (up to 25 dB under anesthesia), and were used to rapidly measure network topography within ∼10 s by constructing all single-channel receptive fields in parallel. We characterized evoked potential amplitudes and spatial correlations across the array in the anesthetized and awake animals. Recording quality in awake animals was stable for at least 30 days. Finally, we used these responses to accurately decode auditory stimuli on single trials. SIGNIFICANCE: This study introduces (1) a µECoG recording system based on practical hardware design and (2) a rigorous analytical method for characterizing the signal characteristics of µECoG electrode arrays. This methodology can be applied to evaluate the fidelity and lifetime of any µECoG electrode array. Our µECoG-based recording system is accessible and will be useful for studies of perception and decision-making in rodents, particularly over the entire time course of behavioral training and learning.


Assuntos
Eletrocorticografia/economia , Eletrocorticografia/métodos , Eletrodos Implantados/economia , Locomoção/fisiologia , Animais , Masculino , Microeletrodos/economia , Movimento/fisiologia , Ratos , Ratos Sprague-Dawley
3.
Annu Int Conf IEEE Eng Med Biol Soc ; 2016: 4503-4506, 2016 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-28269278

RESUMO

Micro-electrocorticographic (µECοG) electrode arrays provide a minimally invasive, high-resolution neural interface with broad cortical coverage. Previously, we fabricated µECoG arrays at a lower cost than commercially available devices using low-cost industrial processes [1], [2]. Here, we report the in vitro electrical performance of five µECoG designs undergoing an accelerated aging protocol. The impedance and yield of the µECoG arrays were tracked over time. The equivalent lifetime at 37°C depended on the manufacturer and material stack-up, and ranged between 30 and greater than 760 days (ongoing). The main failure modes of these devices were delamination at the site of the electrode contact and broken traces due to metal dissolution. Based on these in vitro results, we offer several recommendations for µECoG designs suitable for chronic implantation.


Assuntos
Eletrocorticografia/instrumentação , Eletrodos Implantados/normas , Microeletrodos/normas , Impedância Elétrica , Melhoria de Qualidade
4.
Artigo em Inglês | MEDLINE | ID: mdl-25571179

RESUMO

Micro-Electrocorticography (µECoG) offers a minimally invasive, high resolution interface with large areas of cortex. However, large arrays of electrodes with many contacts that are individually wired to external recording systems are cumbersome and make chronic recording in freely behaving small animals challenging. Multiplexed headstages overcome this limitation by combining the signals from many electrodes to a smaller number of connections directly on the animal's head. Commercially available multiplexed headstages provide high performance integrated amplification, multiplexing and analog to digital conversion. However, the cost of these systems can be prohibitive for small labs or for experiments that require a large number of animals to be continuously recorded at the same time. Here we have developed a multiplexed 60-channel headstage amplifier optimized to chronically record electrophysiological signals from high-density µECoG electrode arrays. A single, ultraflexible (2 mm thickness) microHDMI cable provided the data interface. Using low cost components, we have reduced the cost of the multiplexed headstage to ~$125. Paired with a custom interface printed circuit board (PCB) and a general purpose data acquisition system (M-series DAQ, National Instruments), an inexpensive and customizable electrophysiology system is assembled. Open source LabVIEW software that we have previously released controlled the system. It can also be used with other open source neural data acquisition packages. Combined, we have presented a scalable, low-cost platform for high-channel count electrophysiology.


Assuntos
Custos e Análise de Custo , Eletrocorticografia/economia , Eletrocorticografia/instrumentação , Fenômenos Eletrofisiológicos , Animais , Eletrodos , Potenciais Evocados Auditivos , Ratos , Processamento de Sinais Assistido por Computador
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