Davide Ricci- Carbon nanotubes for neural interfaces

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    Carbon nanotubes for neural interfaces

    Davide Ricci

    Italian Institute of TechnologyRobotics, Brain and Cognitive Sciences Department

    Brain Machine Interface Laboratory

    Via Morego 30, 16163, Genova - Italia

    The ability to interface nerve cells with man madeelectrical circuits is one of the founding stones of

    neuroscience. Biomedical devices having a wide variety

    of shapes and made using different technologies have

    been employed in the past decades both for recordingelectrical signals from nerve cells or for their stimulation.

    Their development and use has allowed breakthroughs in

    our understanding of the neurophysiology of the centralnervous system, has opened the door for the functional

    restoration of neural paths (prostheses for hearing, visionand limb movement ) and they represent the essential tool

    for a new fascinating research domain, i.e. thedevelopment of brain-machine interfaces.

    The active region of the vast majority of such

    devices, i.e. the electrodes, traditionally rely on the

    conductive properties of metals or metals alloys, and

    especially noble metals are still favored byelectrophysiologists. In recent years, under the pressure of

    ever increasing demanding applications, researchers in the

    field have reached out for novel materials for neuralinterfaces, such as conductive polymers and carbon

    nanotubes, with the aim of exploiting their nanoscale

    properties.The task for such nanomaterials is not an easy

    one, as the properties that are sought after for the different

    experimental applications are diverse and often conflict

    one another. Among the desiderata we can find:

    biocompatibility, high electrical conductivity,electrochemical stability, mechanical sturdiness,

    compliance and flexibility. Electrodes should also be

    easily manufactured in a wide variety of shapes by parallel and cost-effective processes, integrated with

    electronics and fluidics and their surface should be

    amenable to biochemical functionalization for tissue

    interaction.

    Carbon nanotubes (CNTs) have intriguingelectrochemical, mechanical and chemical properties that

    make them excellent candidates for the improvement of

    neural interfaces. For example, they have a very high

    mechanical stiffness, but at the same time they are veryflexible, making them attractive for building penetrating

    electrodes in neural prostheses. Their very high aspectratio and small size allows making tiny electrodes while

    maintaining a high electrical current density, an essential

    property for electrical stimulation. They have good

    electrochemical stability, reducing the possibility of

    damaging the electrodes and introducing abnormalities inneural function and cell structure. CNTs can be grown or

    assembled on a great variety of surfaces and can give rise

    to structures with widely different morphologies, such as

    flat nanostructured continuous mats, sparse electricallyconductive networks, localized three dimensional

    nanoporous bushes, columnar closely packed forests and

    spiked localized bundles or single fibers. This allowstailoring the neural interface morphology to better mimic

    the neural tissue microenvironment and to enhance

    electrical coupling. Recent advances in CNT chemical

    functionalization open the route to design appropriate

    functional electrode coupling down to the subcellular

    nanoscale.

    In this paper we shall overview the state of the

    art of carbon nanotube research applied to neuralinterfaces. Special attention will be devoted to the novel

    phenomena arising from their nanoscale properties that

    occur when coupled to in-vitro cultured neural networks.Original results in the microfabrication of CNT

    electrodes for in-vivo neuro-electrical activity recording

    and nerve cell stimulation will be presented, opening the

    route for a new generation of neural interfaces for long-term stable implantation.

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