One-to-one neuron–electrode interfacing

Greenbaum, Alon; Anava, Sarit; Ayali, Amir; Shein, Mark; David‐Pur, Moshe; Ben‐Jacob, Eshel; Hanein, Yael

doi:10.1016/j.jneumeth.2009.06.012

Cited by 28 publications

(17 citation statements)

References 31 publications

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“…Patterning provides the opportunity to extract more precise pathway information and also to determine the source of signals. Other developments of potential utility include application of tension forces on the position of neurons, in which single cells were confined by specially constructed cages or wells (Maher et al ., 1999; Claverol-Tinturé et al ., 2007), microelectronic circuits with microdrop delivery systems (Macis et al , 2007), high density microelectrode arrays (Berdondini et al , 2008), MEAs with PDMS microtunnels connecting different wells (Dworak and Wheeler, 2009), carbon-nanotube MEAs (Greenbaum et al ., 2009) and three-dimensional MEAs (Musick et al , 2009). …”

Section: Discussionmentioning

confidence: 99%

Chronic network stimulation enhances evoked action potentials

et al. 2010

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Neurons cultured on multielectrode arrays almost always lack external stimulation except during the acute experimental phase. We have investigated the effects of chronic stimulation during the course of development in cultured hippocampal neural networks by applying paired pulses at half of the electrodes for 0, 1, or 3 hr/day for 8 days. Spike latencies increased from 4 to 16 ms as the distance from the stimulus increased 200–1700 μm, suggesting an average of 4 synapses over this distance. Compared to no chronic stimulation, our results indicate that, chronic stimulation increased evoked spike counts per stimulus by 50% at recording sites near the stimulating electrode and increased the instantaneous firing rate. On trials where both pulses elicited responses, spike count was 40–80% higher than when only one of the pulses elicited a response. In attempts to identify spike amplitude plasticity, we found mainly amplitude variation with different latencies suggesting recordings from neurons with different identities. These data suggest plastic network changes induced by chronic stimulation that enhance the reliability of information transmission and the efficiency of multisynaptic network communication.

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Section: Discussionmentioning

confidence: 99%

Chronic network stimulation enhances evoked action potentials

et al. 2010

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“…CNT islands were also used extensively by us to engineer neuronal networks into a system with well-defined geometry (see Figure 3), so the interplay between geometry and neuronal activity can be systematically investigated (Gabay et al, 2005a,b; Sorkin et al, 2006, 2009; Greenbaum et al, 2009; Shein et al, 2009) (see Figure 2 for a typical example). In one of the first publications to use MWCNTs for neuronal interfacing applications, Gabay and co-workers imprinted a pattern of iron nanoparticle catalyst on quartz substrates using a poly (dimethylsiloxane) (PDMS) stamp and then grew CNTs from the iron catalyst islands.…”

Section: Carbon Nanotubesmentioning

confidence: 99%

Carbon nanotube-based multi electrode arrays for neuronal interfacing: progress and prospects

Bareket¹,

Hanein²

2013

Front. Neural Circuits

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Carbon nanotube (CNT) coatings have been demonstrated over the past several years as a promising material for neuronal interfacing applications. In particular, in the realm of neuronal implants, CNTs have major advantages owing to their unique mechanical and electrical properties. Here we review recent investigations utilizing CNTs in neuro-interfacing applications. Cell adhesion, neuronal engineering and multi electrode recordings with CNTs are described. We also highlight prospective advances in this field, in particular, progress toward flexible, bio-compatible CNT-based technology.

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“…Cell migration and extension redirection, resulting from the inherent motility of cells and tension forces exerted by neurite bundles (Sorkin et al, 2006, 2009; Jun et al, 2007b; Anava et al, 2009), often compromise patterning quality (Ruardij et al, 2002; Wheeler and Brewer, 2010). Accordingly, physically caging neurons by introducing barriers (Maher et al, 1999; Zeck and Fromherz, 2001), combining cell repelling surfaces with strongly linked adhesive chemistries (Nam et al, 2006) or patterning rough surface coatings (Greenbaum et al, 2009) have been used to create stable patterns. In general, the finer the patterns the less stable they are (Khatami, 2008; Wheeler and Brewer, 2010).…”

Section: Engineering Neuronal Circuits In Vitromentioning

confidence: 99%

Engineered Neuronal Circuits: A New Platform for Studying the Role of Modular Topology

Shein-Idelson¹,

Ben‐Jacob²,

Hanein³

2011

Front. Neuroeng.

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Neuron-glia cultures serve as a valuable model system for exploring the bio-molecular activity of single cells. Since neurons in culture can be conveniently recorded with great fidelity from many sites simultaneously, it has long been suggested that uniform cultured neurons may also be used to investigate network-level mechanisms pertinent to information processing, activity propagation, memory, and learning. But how much of the functionality of neural circuits can be retained in vitro remains an open question. Recent studies utilizing patterned networks suggest that they provide a most useful platform to address fundamental questions in neuroscience. Here we review recent efforts in the realm of patterned networks' activity investigations. We give a brief overview of the patterning methods and experimental approaches commonly employed in the field, and summarize the main results reported in the literature. The general picture that emerges from these reports indicates that patterned networks with uniform connectivity do not exhibit unique activity patterns. Rather, their activity is very similar to that of unpatterned uniform networks. However, by breaking the connectivity homogeneity, using a modular architecture, it is possible to introduce pronounced topology-related gating and delay effects. These findings suggest that patterned cultured networks may serve as a new platform for studying the role of modularity in neuronal circuits.

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One-to-one neuron–electrode interfacing

Cited by 28 publications

References 31 publications

Chronic network stimulation enhances evoked action potentials

Chronic network stimulation enhances evoked action potentials

Carbon nanotube-based multi electrode arrays for neuronal interfacing: progress and prospects

Engineered Neuronal Circuits: A New Platform for Studying the Role of Modular Topology

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