Marta Jole Ildelfonsa Airaghi Leccardi
École Polytechnique Fédérale de Lausanne
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Journal of Neural Engineering | 2018
Marta Jole Ildelfonsa Airaghi Leccardi; Paola Vagni; Diego Ghezzi
OBJECTIVE In many applications, multielectrode arrays employed as neural implants require a high density and a high number of electrodes to precisely record and stimulate the activity of the nervous system while preserving the overall size of the array. APPROACH Here we present a multilayer and three-dimensional (3D) electrode array, together with its manufacturing method, enabling a higher electrode density and a more efficient signal transduction with the biological tissue. MAIN RESULTS The 3D structure of the electrode array allows for a multilayer placement of the interconnects within a flexible substrate, it narrows the probe size per the same number of electrodes, and it maintains the electrode contacts at the same level within the tissue. In addition, it augments the electrode surface area, leading to a lower electrochemical impedance and a higher charge storage capacity. To characterize the recordings capabilities of the multilayer 3D electrodes, we measured visually evoked cortical potentials in mice and analysed the evolution of the peak prominences and latencies according to different light intensities and recording depths within the brain. The resulting signal-to-noise ratio is improved compared to flat electrodes. Finally, the 3D electrodes have been imaged inside a clarified mouse brain using a light-sheet microscope to visualize their integrity within the tissue. SIGNIFICANCE The multilayer 3D electrodes have proved to be a valid technology to ensure tissue proximity and higher recording/stimulating efficiencies while enabling higher electrode density and reducing the probe size.
Frontiers in Neuroscience | 2018
Laura Ferlauto; Antonio Nunzio D’Angelo; Paola Vagni; Marta Jole Ildelfonsa Airaghi Leccardi; Flavio Maurizio Mor; Estelle Annick Cuttaz; Marc Olivier Heuschkel; Luc Stoppini; Diego Ghezzi
Reducing the mechanical mismatch between the stiffness of a neural implant and the softness of the neural tissue is still an open challenge in neuroprosthetics. The emergence of conductive hydrogels in the last few years has considerably widened the spectrum of possibilities to tackle this issue. Nevertheless, despite the advancements in this field, further improvements in the fabrication of conductive hydrogel-based electrodes are still required. In this work, we report the fabrication of a conductive hydrogel-based microelectrode array for neural recording using a hybrid material composed of poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate), and alginate. The mechanical properties of the conductive hydrogel have been investigated using imaging techniques, while the electrode arrays have been electrochemically characterized at each fabrication step, and successfully validated both in vitro and in vivo. The presence of the conductive hydrogel, selectively electrodeposited onto the platinum microelectrodes, allowed achieving superior electrochemical characteristics, leading to a lower electrical noise during recordings. These findings represent an advancement in the design of soft conductive electrodes for neuroprosthetic applications.
Archive | 2018
Diego Ghezzi; Marta Jole Ildelfonsa Airaghi Leccardi
11th Forum of European NeuroScience (FENS) | 2018
Naïg Chenais; Marta Jole Ildelfonsa Airaghi Leccardi; Laura Ferlauto; Diego Ghezzi
Archive | 2017
Naïg Chenais; Marta Jole Ildelfonsa Airaghi Leccardi; Laura Ferlauto; Kevin Sivula; Diego Ghezzi
Investigative Ophthalmology & Visual Science | 2017
Diego Ghezzi; Kevin Sivula; Marta Jole Ildelfonsa Airaghi Leccardi; Laura Ferlauto
2017 MRS Fall Meeting | 2017
Laura Ferlauto; Marta Jole Ildelfonsa Airaghi Leccardi; Naïg Chenais; Thomas J. Wolfensberger; Kevin Sivula; Diego Ghezzi
2017 E-MRS Spring Meeting | 2017
Marta Jole Ildelfonsa Airaghi Leccardi; Laura Ferlauto; Kevin Sivula; Diego Ghezzi
2017 E-MRS Spring Meeting | 2017
Marta Jole Ildelfonsa Airaghi Leccardi; Vivien Gaillet; Diego Ghezzi
2017 Artificial Vision Meeting | 2017
Marta Jole Ildelfonsa Airaghi Leccardi; Laura Ferlauto; Naïg Chenais; Michele Bevilacqua; Thomas J. Wolfensberger; Kevin Sivula; Diego Ghezzi