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Dive into the research topics where Elisa Castagnola is active.

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Featured researches published by Elisa Castagnola.


Journal of Neural Engineering | 2011

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

Gytis Baranauskas; Emma Maggiolini; Elisa Castagnola; Alberto Ansaldo; Alberto Mazzoni; Gian Nicola Angotzi; Alessandro Vato; Davide Ricci; Stefano Panzeri; Luciano Fadiga

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.


ACS Nano | 2011

Superior Electrochemical Performance of Carbon Nanotubes Directly Grown on Sharp Microelectrodes

Alberto Ansaldo; Elisa Castagnola; Emma Maggiolini; Luciano Fadiga; Davide Ricci

We report for the first time how coatings made by directly growing carbon nanotubes (CNTs) on the tip of neural microelectrodes outperform others made by electrodeposited CNT composites. Not only do they reduce microelectrode impedance but they also are able to inject high currents without degradation and are stable in time. These results suggest that they are excellent candidates for chronic applications especially when both neural recording and stimulation have to be performed by the same microelectrode.


Frontiers in Neuroengineering | 2014

Smaller, softer, lower-impedance electrodes for human neuroprosthesis: a pragmatic approach

Elisa Castagnola; Alberto Ansaldo; Emma Maggiolini; Tamara Ius; Miran Skrap; Davide Ricci; Luciano Fadiga

Finding the most appropriate technology for building electrodes to be used for long term implants in humans is a challenging issue. What are the most appropriate technologies? How could one achieve robustness, stability, compatibility, efficacy, and versatility, for both recording and stimulation? There are no easy answers to these questions as even the most fundamental and apparently obvious factors to be taken into account, such as the necessary mechanical, electrical and biological properties, and their interplay, are under debate. We present here our approach along three fundamental parallel pathways: we reduced electrode invasiveness and size without impairing signal-to-noise ratio, we increased electrode active surface area by depositing nanostructured materials, and we protected the brain from direct contact with the electrode without compromising performance. Altogether, these results converge toward high-resolution ECoG arrays that are soft and adaptable to cortical folds, and have been proven to provide high spatial and temporal resolution. This method provides a piece of work which, in our view, makes several steps ahead in bringing such novel devices into clinical settings, opening new avenues in diagnostics of brain diseases, and neuroprosthetic applications.


ACS Nano | 2013

Biologically compatible neural interface to safely couple nanocoated electrodes to the surface of the brain.

Elisa Castagnola; Alberto Ansaldo; Emma Maggiolini; Gian Nicola Angotzi; Miran Skrap; Davide Ricci; Luciano Fadiga

The ongoing interest in densely packed miniaturized electrode arrays for high-resolution epicortical recordings has induced many researchers to explore the use of nanomaterial coatings to reduce electrode impedance while increasing signal-to-noise ratio and charge injection capability. Although these materials are very effective, their use in clinical practice is strongly inhibited by concerns about the potential risks derived from the use of nanomaterials in direct contact with the human brain. In this work we propose a novel approach to safely couple nanocoated electrodes to the brain surface by encapsulating them with a biocompatible hydrogel. We prove that fibrin hydrogel coating over nanocoated high-density arrays of epicortical microelectrodes is electrically transparent and allows avoiding direct exposure of the brain tissue to the nanocoatings while maintaining all the advantages derived from the nanostructured electrode surface. This method may make available acute and sub-acute neural recordings with nanocoated high-resolution arrays for clinical applications.


Scientific Reports | 2017

Highly Stable Glassy Carbon Interfaces for Long-Term Neural Stimulation and Low-Noise Recording of Brain Activity

Maria Vomero; Elisa Castagnola; Francesca Ciarpella; Emma Maggiolini; Noah Goshi; Elena Zucchini; Stefano Carli; Luciano Fadiga; Sam Kassegne; Davide Ricci

We report on the superior electrochemical properties, in-vivo performance and long term stability under electrical stimulation of a new electrode material fabricated from lithographically patterned glassy carbon. For a direct comparison with conventional metal electrodes, similar ultra-flexible, micro-electrocorticography (μ-ECoG) arrays with platinum (Pt) or glassy carbon (GC) electrodes were manufactured. The GC microelectrodes have more than 70% wider electrochemical window and 70% higher CTC (charge transfer capacity) than Pt microelectrodes of similar geometry. Moreover, we demonstrate that the GC microelectrodes can withstand at least 5 million pulses at 0.45 mC/cm2 charge density with less than 7.5% impedance change, while the Pt microelectrodes delaminated after 1 million pulses. Additionally, poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT-PSS) was selectively electrodeposited on both sets of devices to specifically reduce their impedances for smaller diameters (<60 μm). We observed that PEDOT-PSS adhered significantly better to GC than Pt, and allowed drastic reduction of electrode size while maintaining same amount of delivered current. The electrode arrays biocompatibility was demonstrated through in-vitro cell viability experiments, while acute in vivo characterization was performed in rats and showed that GC microelectrode arrays recorded somatosensory evoked potentials (SEP) with an almost twice SNR (signal-to-noise ratio) when compared to the Pt ones.


IEEE Transactions on Neural Systems and Rehabilitation Engineering | 2015

PEDOT-CNT-Coated Low-Impedance, Ultra-Flexible, and Brain-Conformable Micro-ECoG Arrays

Elisa Castagnola; Luca Maiolo; Emma Maggiolini; Antonio Minotti; Marco Marrani; Francesco Maita; A. Pecora; Gian Nicola Angotzi; Alberto Ansaldo; Massimiliano Boffini; Luciano Fadiga; G. Fortunato; Davide Ricci

Electrocorticography (ECoG) is becoming a common tool for clinical applications, such as preparing patients for epilepsy surgery or localizing tumor boundaries, as it successfully balances invasiveness and information quality. Clinical ECoG arrays use millimeter-scale electrodes and centimeter-scale pitch and cannot precisely map neural activity. Higher-resolution electrodes are of interest for both current clinical applications, providing access to more precise neural activity localization and novel applications, such as neural prosthetics, where current information density and spatial resolution is insufficient to suitably decode signals for a chronic brain-machine interface. Developing such electrodes is not trivial because their small contact area increases the electrode impedance, which seriously affects the signal-to-noise ratio, and adhering such an electrode to the brain surface becomes critical. The most straightforward approach requires increasing the array conformability with flexible substrates while improving the electrode performance using materials with superior electrochemical properties. In this paper, we propose an ultra-flexible and conformable polyimide-based micro-ECoG array of submillimeter recording sites electrochemically coated with high surface area conductive polymer-carbon nanotube composites to improve their brain-electrical coupling capabilities. We characterized our devices both electrochemically and by recording from rat somatosensory cortex in vivo. The performance of the coated and uncoated electrodes was directly compared by simultaneously recording the same neuronal activity during multiwhisker deflection stimulation. Finally, we assessed the effect of electrode size on the extraction of somatosensory evoked potentials and found that in contrast to the normal high-impedance microelectrodes, the recording capabilities of our low-impedance microelectrodes improved upon reducing their size from 0.2 to 0.1 mm.


Frontiers in Neuroscience | 2016

pHEMA Encapsulated PEDOT-PSS-CNT Microsphere Microelectrodes for Recording Single Unit Activity in the Brain

Elisa Castagnola; Emma Maggiolini; Luca Ceseracciu; Francesca Ciarpella; Elena Zucchini; Sara De Faveri; Luciano Fadiga; Davide Ricci

The long-term reliability of neural interfaces and stability of high-quality recordings are still unsolved issues in neuroscience research. High surface area PEDOT-PSS-CNT composites are able to greatly improve the performance of recording and stimulation for traditional intracortical metal microelectrodes by decreasing their impedance and increasing their charge transfer capability. This enhancement significantly reduces the size of the implantable device though preserving excellent electrical performances. On the other hand, the presence of nanomaterials often rises concerns regarding possible health hazards, especially when considering a clinical application of the devices. For this reason, we decided to explore the problem from a new perspective by designing and testing an innovative device based on nanostructured microspheres grown on a thin tether, integrating PEDOT-PSS-CNT nanocomposites with a soft synthetic permanent biocompatible hydrogel. The pHEMA hydrogel preserves the electrochemical performance and high quality recording ability of PEDOT-PSS-CNT coated devices, reduces the mechanical mismatch between soft brain tissue and stiff devices and also avoids direct contact between the neural tissue and the nanocomposite, by acting as a biocompatible protective barrier against potential nanomaterial detachment. Moreover, the spherical shape of the electrode together with the surface area increase provided by the nanocomposite deposited on it, maximize the electrical contact and may improve recording stability over time. These results have a good potential to contribute to fulfill the grand challenge of obtaining stable neural interfaces for long-term applications.


international ieee/embs conference on neural engineering | 2013

Ultra-flexible and brain-conformable micro-electrocorticography device with low impedance PEDOT-carbon nanotube coated microelectrodes

Elisa Castagnola; Luca Maiolo; Emma Maggiolini; Antonio Minotti; Marco Marrani; Francesco Maita; A. Pecora; Gian Nicola Angotzi; Alberto Ansaldo; Luciano Fadiga; G. Fortunato; Davide Ricci

Electrocorticography, thanks to its low degree of invasiveness, has received in recent years an increasing attention for chronic brain-machine interface applications. To be up to the task, electrocorticography electrode arrays can benefit from several improvements. Better recording abilities can be obtained through smaller, low impedance and high density electrodes, while conformability can provide superior adhesion to the cortex surface and lower biological impact. In this work we present an ultra-flexible and brain-conformable polyimide-based micro-ECoG array with low-impedance poly(3,4-ethylenedioxythiophene) (PEDOT)-carbon nanotube coated microelectrodes. A first in vivo validation of our device is performed on rat somatosensory cortex.


The Journal of Physiology | 2017

Cortical control of object-specific grasp relies on adjustments of both activity and effective connectivity: A common marmoset study

Banty Tia; Mitsuaki Takemi; Akito Kosugi; Elisa Castagnola; Alberto Ansaldo; Takafumi Nakamura; Davide Ricci; Junichi Ushiba; Luciano Fadiga; Atsushi Iriki

The cortical mechanisms of grasping have been extensively studied in macaques and humans; here, we investigated whether common marmosets could rely on similar mechanisms despite strong differences in hand morphology and grip diversity. We recorded electrocorticographic activity over the sensorimotor cortex of two common marmosets during the execution of different grip types, which allowed us to study cortical activity (power spectrum) and physiologically inferred connectivity (phase‐slope index). Analyses were performed in beta (16–35 Hz) and gamma (75–100 Hz) frequency bands and our results showed that beta power varied depending on grip type, whereas gamma power displayed clear epoch‐related modulation. Strength and direction of inter‐area connectivity varied depending on grip type and epoch. These findings suggest that fundamental control mechanisms are conserved across primates and, in future research, marmosets could represent an adequate model to investigate primate brain mechanisms.


International Journal of Neural Systems | 2017

Independent Component Decomposition of Human Somatosensory Evoked Potentials Recorded by Micro-Electrocorticography.

Irene Rembado; Elisa Castagnola; Luca Turella; Tamara Ius; Riccardo Budai; Alberto Ansaldo; Gian Nicola Angotzi; Francesco Debertoldi; Davide Ricci; Miran Skrap; Luciano Fadiga

High-density surface microelectrodes for electrocorticography (ECoG) have become more common in recent years for recording electrical signals from the cortex. With an acceptable invasiveness/signal fidelity trade-off and high spatial resolution, micro-ECoG is a promising tool to resolve fine task-related spatial-temporal dynamics. However, volume conduction - not a negligible phenomenon - is likely to frustrate efforts to obtain reliable and resolved signals from a sub-millimeter electrode array. To address this issue, we performed an independent component analysis (ICA) on micro-ECoG recordings of somatosensory-evoked potentials (SEPs) elicited by median nerve stimulation in three human patients undergoing brain surgery for tumor resection. Using well-described cortical responses in SEPs, we were able to validate our results showing that the array could segregate different functional units possessing unique, highly localized spatial distributions. The representation of signals through the root-mean-square (rms) maps and the signal-to-noise ratio (SNR) analysis emphasizes the advantages of adopting a source analysis approach on micro-ECoG recordings in order to obtain a clear picture of cortical activity. The implications are twofold: while on one side ICA may be used as a spatial-temporal filter extracting micro-signal components relevant to tasks for brain-computer interface (BCI) applications, it could also be adopted to accurately identify the sites of nonfunctional regions for clinical purposes.

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Davide Ricci

Istituto Italiano di Tecnologia

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Luciano Fadiga

Istituto Italiano di Tecnologia

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Alberto Ansaldo

Istituto Italiano di Tecnologia

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Emma Maggiolini

Istituto Italiano di Tecnologia

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Gian Nicola Angotzi

Istituto Italiano di Tecnologia

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Elena Zucchini

Istituto Italiano di Tecnologia

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Miran Skrap

Misericordia University

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Sam Kassegne

San Diego State University

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Atsushi Iriki

RIKEN Brain Science Institute

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