Publications by authors named "Ariano P"

After stroke, upper limb motor impairment is one of the most common consequences that compromises the level of the autonomy of patients. In a neurorehabilitation setting, the implementation of wearable sensors provides new possibilities for enhancing hand motor recovery. In our study, we tested an innovative wearable (REMO) that detected the residual surface-electromyography of forearm muscles to control a rehabilitative PC interface.

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This work reports on preliminary results about on hand movement recognition with Near InfraRed Spectroscopy (NIRS) and surface ElectroMyoGraphy (sEMG). Either basing on physical contact (touchscreens, data-gloves, etc.), vision techniques (Microsoft Kinect, Sony PlayStation Move, etc.

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Stroke and other neurological pathologies are an increasing cause of hand impairment, involving expensive rehabilitative therapies. In this scenario, robotics applied to hand rehabilitation and assistance appears particularly promising in order to lower therapy costs and boost its efficacy. This work shows a recently conceived hand exoskeleton, from the design and realization to its preliminary evaluation.

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Here we provide the state-of-the-art of bioelectronic interfacing between biological neuronal systems and artificial components, focusing the attention on the potentiality offered by neuromorphic synthetic devices based on Resistive Switching (RS). Neuromorphic engineering is outside the scopes of this Perspective. Instead, our focus is on those materials and devices featuring genuine physical effects that could be sought as non-linearity, plasticity, excitation, and extinction which could be directly and more naturally coupled with living biological systems.

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Background: The importance to restore the hand function following an injury/disease of the nervous system led to the development of novel rehabilitation interventions. Surface electromyography can be used to create a user-driven control of a rehabilitation robot, in which the subject needs to engage actively, by using spared voluntary activation to trigger the assistance of the robot.

Methods: The study investigated methods for the selective estimation of individual finger movements from high-density surface electromyographic signals (HD-sEMG) with minimal interference between movements of other fingers.

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The aim of this work was to minimize the number of channels, determining acceptable electrode locations and optimizing electrode-recording configurations to decode isometric flexion and extension of individual fingers. Nine healthy subjects performed cyclical isometric contractions activating individual fingers. During the experiment they tracked a moving visual marker indicating the contraction type (flexion/extension), desired activation level and the finger that should be employed.

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Understanding the movement of the hand from sEMG signals acquired on the forearm is key in the development of future prosthetics of the upper limb. Despite the technical advancement on this technique, state of the art of sEMG still relies strongly on optimal electrode placement which is typically performed by a specialist by mean of a heuristic search. Involving a specialist has few major disadvantages including high costs and relatively long schedules.

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The study of hand and finger movement is an important topic with applications in prosthetics, rehabilitation, and ergonomics. Surface electromyography (sEMG) is the gold standard for the analysis of muscle activation. Previous studies investigated the optimal electrode number and positioning on the forearm to obtain information representative of muscle activation and robust to movements.

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Purpose: The accurate selection of materials and the fine tuning of their properties represent a fundamental aspect in the realization of new active systems able to produce actuating forces, such as artificial muscles. In this regard, exciting opportunities for the design of new advanced systems are offered by materials belonging to the emerging class of functional polymers: exploiting their actuation response, specific devices can be realized. Along this direction, materials showing either shape-memory effect (SME) or shape-change effect (SCE) have been the subject of extensive studies aimed at designing of actuators as artificial muscles.

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Migration of neurons and neuronal precursors from the site of origin to their final location is a key process in the development of the nervous system and in the correct organization of neuronal structures and circuits. Different modes of migration (mainly radial and tangential) have been described in the last 40 years; for these, as for motility processes involving other cellular types, calcium signaling plays a key role, with influx from the extracellular medium representing the main mechanism, and a more delimited but specific role played by release from intracellular stores. Deciphering the involvement of the different calcium influx pathways has been a major task for cellular neurobiologists, and the availability - or lack - of reliable and selective pharmacological tools has represented the main limiting factor.

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Cytosolic calcium signals play important roles in processes such as cell growth and motility, synaptic communication and formation of neural circuitry. These signals have complex time courses and their quantitative analysis is not easily accomplished; in particular it may be difficult to evidence subtle differences in their temporal patterns. In this paper, we use wavelet analysis to extract information on the structure of [Formula: see text] oscillations.

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Gonadotropin-releasing hormone (GnRH)-secreting neurons are key regulators of the reproductive behaviour in vertebrates. These neurons show a peculiar migratory pattern during embryonic development, and its perturbations have profound impact on fertility and other related functional aspects. Changes in the intracellular calcium concentration, [Ca(2+)](i), induced by different extracellular signals, play a central role in the control of neuronal migration, but the available knowledge regarding GnRH neurons is still limited.

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The effects of Stöber silica nanoparticles on neuronal survival, proliferation, and on the underlying perturbations in calcium homeostasis are investigated on the well-differentiated neuronal cell line GT1-7. The responses to nanoparticles 50 and 200 nm in diameter are compared. The 50-nm silica affects neuronal survival/proliferation in a dose-dependent way, by stimulating apoptotic processes.

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Expression of the nerve cell phenotype is orchestrated by the REST/NRSF transcription repressor, working on hundreds of genes recognized at a specific regulatory binding sequence. Most PC12 clones, the most frequently employed neuronal model, maintain low levels of REST; however a few, defective of neurosecretion, express high levels. To investigate the role of REST in Ca2+ signalling we studied the [Ca2+](i) changes in single cells of four clones, two wild-type and two defective, pre-treated for 5 days with NGF.

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In this paper we report about the role the diamond surface morphology and atomic termination plays in the survival and viability of neuronal cells, which represent an appropriate experimental model for the development of cell-based biosensors. The samples we have investigated were both CVD homoepitaxial diamond films and nanocrystalline diamond layers deposited on quartz substrates. Different surface terminations were induced through exposure to atomic hydrogen and to intense UV irradiation.

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The sprouting, stabilization and growth of neurites is a dynamic process by which developing neurons establish connections with the other elements of the nervous system; this process is under the control of extracellular cues, among which neurotrophic factors play a crucial role. Due to the complexity of the spatiotemporal evolution of the neurite network, particularly in the early stages of growth, it is not easy to obtain information about the relevant parameters from qualitative observations. We have developed a quantitative description of the dynamics of production and stabilization of neuritic processes in a well-characterized experimental model of peripheral neurons in culture, and we have combined it with a simulation approach to extract the differences between the behaviour in the absence and in the presence of the neurotrophic factor basic Fibroblast Growth Factor (bFGF).

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We have developed a device for recording the extracellular electrical activity of cultured neuronal networks based on a hydrogen terminated (H-terminated) conductive diamond. GT1-7 cells, a neuronal cell line showing spontaneous action potentials firing, could maintain their functional properties for days in culture when plated on the H-terminated diamond surface. The recorded extracellular electrical activity appeared in the form of well-resolved bursts of fast and slow biphasic signals with a mean duration of about 8ms for the fast and 60ms for the slow events.

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Calcium-permeable cation channels of the transient receptor potential (TRP) superfamily are involved in agonist-induced calcium influx in several cell types. In this work we evaluated expression and localisation of classical TRP (TRPC) channels in two immortalised cell lines derived from the gonadotrophin releasing hormone (GnRH) neuroendocrine system, at different developmental stages: GT1-7 cells display many characteristics of mature hypothalamic GnRH neurons and are a suitable model to study neuritogenesis and neurosecretion, whereas GN11 cells retain a more immature phenotype with migratory activity. Immunoblotting analysis demonstrates that GN11 and GT1-7 cells differentially express several members of the TRPC family: TRPC1 and TRPC5 are expressed at high levels in GN11 cells, and TRPC4 is expressed at higher levels in GT1-7 cells.

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Basic fibroblast growth factor (bFGF) is a potent and multifunctional neurotrophic factor that can influence neuronal survival and differentiation. It has been shown to modulate growth and orientation of neuritic processes both in intact organs and in neuronal cultures, with a wide spectrum of effects on different preparations. Here we report that it promotes neurite growth in developing parasympathetic neurons from the chick ciliary ganglion.

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We have studied calcium signals and their role in the migration of neuronal and nonneuronal cells of embryonic chick ciliary ganglion (CG). In vitro, neurons migrate in association with nonneuronal cells to form cellular aggregates. Changes in the modulus of the velocity of the neuron-nonneuronal cell complex were observed in response to treatments that increased or decreased intracellular calcium concentration.

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Arachidonic acid (AA, 20:4) has been reported to modulate a variety of calcium-permeable ionic channels, both in the plasma membrane and in the endoplasmic reticulum. We have studied the effects of AA on calcium signaling in a well-characterized model of developing peripheral neurons, embryonic chick ciliary ganglion neurons in culture. When given at low non-micellar concentrations (5 microM), in the majority of cells AA directly activated a delayed and long-lasting increase in [Ca2+]i, involving both the cytoplasm and the nucleoplasm, that was completely reversed by abolition of extracellular calcium.

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We describe here a simple and fast method for the characterisation of cell motion. By projecting on a single plane different positions of the cell a ribbon is generated, whose characteristics can be related to the type of motion. The proposed method allows both to determine, very quickly, the motility of a population of cells and to investigate and characterise properties of a single cell's motion.

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We have shown that the neurotrophic factors glial cell line-derived neurotrophic factor (GDNF) and basic fibroblast growth factor (bFGF) exert different effects on glial cells in cultures from chick embryo ciliary ganglia. bFGF acts as a mitogen on glial cells, and induces their aggregation to neuronal bodies; after 48 h of culture no glial cells could be observed along neurites. GDNF has no proliferative role; in contrast, it promotes the expression of the differentiative marker O4 and the association of glial cell bodies to neurites to form robust bundles.

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We used time-lapse microscopy to study the in vitro migration of neuronal cells from developing chick ciliary ganglion. These cells, when dissociated and cultured in a chemically defined medium, are able to migrate and to associate into clusters. We focused our attention on the study of the distribution of neuronal velocity components.

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