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Dive into the research topics where Flavia Vitale is active.

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Featured researches published by Flavia Vitale.


ACS Nano | 2014

Biocompatible Carbon Nanotube–Chitosan Scaffold Matching the Electrical Conductivity of the Heart

Seokwon Pok; Flavia Vitale; Shannon L. Eichmann; Omar M. Benavides; Matteo Pasquali; Jeffrey G. Jacot

The major limitation of current engineered myocardial patches for the repair of heart defects is that insulating polymeric scaffold walls hinder the transfer of electrical signals between cardiomyocytes. This loss in signal transduction results in arrhythmias when the scaffolds are implanted. We report that small, subtoxic concentrations of single-walled carbon nanotubes, on the order of tens of parts per million, incorporated in a gelatin–chitosan hydrogel act as electrical nanobridges between cardiomyocytes, resulting in enhanced electrical coupling, synchronous beating, and cardiomyocyte function. These engineered tissues achieve excitation conduction velocities similar to native myocardial tissue (22 ± 9 cm/s) and could function as a full-thickness patch for several cardiovascular defect repair procedures, such as right ventricular outflow track repair for Tetralogy of Fallot, atrial and ventricular septal defect repair, and other cardiac defects, without the risk of inducing cardiac arrhythmias.


ACS Nano | 2015

Neural stimulation and recording with bidirectional, soft carbon nanotube fiber microelectrodes.

Flavia Vitale; Samantha R. Summerson; Behnaam Aazhang; Caleb Kemere; Matteo Pasquali

The development of microelectrodes capable of safely stimulating and recording neural activity is a critical step in the design of many prosthetic devices, brain-machine interfaces, and therapies for neurologic or nervous-system-mediated disorders. Metal electrodes are inadequate prospects for the miniaturization needed to attain neuronal-scale stimulation and recording because of their poor electrochemical properties, high stiffness, and propensity to fail due to bending fatigue. Here we demonstrate neural recording and stimulation using carbon nanotube (CNT) fiber electrodes. In vitro characterization shows that the tissue contact impedance of CNT fibers is remarkably lower than that of state-of-the-art metal electrodes, making them suitable for recording single-neuron activity without additional surface treatments. In vivo chronic studies in parkinsonian rodents show that CNT fiber microelectrodes stimulate neurons as effectively as metal electrodes with 10 times larger surface area, while eliciting a significantly reduced inflammatory response. The same CNT fiber microelectrodes can record neural activity for weeks, paving the way for the development of novel multifunctional and dynamic neural interfaces with long-term stability.


ACS Nano | 2017

Dissolution of Monocrystalline Silicon Nanomembranes and Their Use as Encapsulation Layers and Electrical Interfaces in Water-Soluble Electronics

Yoon Kyeung Lee; Ki Jun Yu; Enming Song; Amir Barati Farimani; Flavia Vitale; Zhaoqian Xie; Younghee Yoon; Yerim Kim; Andrew G. Richardson; Haiwen Luan; Yixin Wu; Xu Xie; Timothy H. Lucas; Kaitlyn E. Crawford; Yongfeng Mei; Xue Feng; Yonggang Huang; Brian Litt; N. R. Aluru; Lan Yin; John A. Rogers

The chemistry that governs the dissolution of device-grade, monocrystalline silicon nanomembranes into benign end products by hydrolysis serves as the foundation for fully eco/biodegradable classes of high-performance electronics. This paper examines these processes in aqueous solutions with chemical compositions relevant to groundwater and biofluids. The results show that the presence of Si(OH)4 and proteins in these solutions can slow the rates of dissolution and that ion-specific effects associated with Ca2+ can significantly increase these rates. This information allows for effective use of silicon nanomembranes not only as active layers in eco/biodegradable electronics but also as water barriers capable of providing perfect encapsulation until their disappearance by dissolution. The time scales for this encapsulation can be controlled by introduction of dopants into the Si and by addition of oxide layers on the exposed surfaces.The former possibility also allows the doped silicon to serve as an electrical interface for measuring biopotentials, as demonstrated in fully bioresorbable platforms for in vivo neural recordings. This collection of findings is important for further engineering development of water-soluble classes of silicon electronics.


Journal of Neural Engineering | 2017

A micro-scale printable nanoclip for electrical stimulation and recording in small nerves

Charles A Lissandrello; Winthrop F Gillis; Jun Shen; Ben W Pearre; Flavia Vitale; Matteo Pasquali; Bradley J Holinski; Daniel J Chew; Alice E. White; Timothy J. Gardner

OBJECTIVE The vision of bioelectronic medicine is to treat disease by modulating the signaling of visceral nerves near various end organs. In small animal models, the nerves of interest can have small diameters and limited surgical access. New high-resolution methods for building nerve interfaces are desirable. In this study, we present a novel nerve interface and demonstrate its use for stimulation and recording in small nerves. APPROACH We design and fabricate micro-scale electrode-laden nanoclips capable of interfacing with nerves as small as 50 µm in diameter. The nanoclips are fabricated using a direct laser writing technique with a resolution of 200 nm. The resolution of the printing process allows for incorporation of a number of innovations such as trapdoors to secure the device to the nerve, and quick-release mounts that facilitate keyhole surgery, obviating the need for forceps. The nanoclip can be built around various electrode materials; here we use carbon nanotube fibers for minimally invasive tethering. MAIN RESULTS We present data from stimulation-evoked responses of the tracheal syringeal (hypoglossal) nerve of the zebra finch, as well as quantification of nerve functionality at various time points post implant, demonstrating that the nanoclip is compatible with healthy nerve activity over sub-chronic timescales. SIGNIFICANCE Our nerve interface addresses key challenges in interfacing with small nerves in the peripheral nervous system. Its small size, ability to remain on the nerve over sub-chronic timescales, and ease of implantation, make it a promising tool for future use in the treatment of disease.


Journal of Neural Engineering | 2017

Intracranial EEG fluctuates over months after implanting electrodes in human brain

Hoameng Ung; Steven Baldassano; Hank Bink; Abba M. Krieger; Shawniqua Williams; Flavia Vitale; Chengyuan Wu; Dean R. Freestone; Ewan S. Nurse; Kent Leyde; Kathryn A. Davis; Mark J. Cook; Brian Litt

OBJECTIVE Implanting subdural and penetrating electrodes in the brain causes acute trauma and inflammation that affect intracranial electroencephalographic (iEEG) recordings. This behavior and its potential impact on clinical decision-making and algorithms for implanted devices have not been assessed in detail. In this study we aim to characterize the temporal and spatial variability of continuous, prolonged human iEEG recordings. APPROACH Intracranial electroencephalography from 15 patients with drug-refractory epilepsy, each implanted with 16 subdural electrodes and continuously monitored for an average of 18 months, was included in this study. Time and spectral domain features were computed each day for each channel for the duration of each patients recording. Metrics to capture post-implantation feature changes and inflexion points were computed on group and individual levels. A linear mixed model was used to characterize transient group-level changes in feature values post-implantation and independent linear models were used to describe individual variability. MAIN RESULTS A significant decline in features important to seizure detection and prediction algorithms (mean line length, energy, and half-wave), as well as mean power in the Berger and high gamma bands, was observed in many patients over 100 d following implantation. In addition, spatial variability across electrodes declines post-implantation following a similar timeframe. All selected features decreased by 14-50% in the initial 75 d of recording on the group level, and at least one feature demonstrated this pattern in 13 of the 15 patients. Our findings indicate that iEEG signal features demonstrate increased variability following implantation, most notably in the weeks immediately post-implant. SIGNIFICANCE These findings suggest that conclusions drawn from iEEG, both clinically and for research, should account for spatiotemporal signal variability and that properly assessing the iEEG in patients, depending upon the application, may require extended monitoring.


Microsystems & Nanoengineering | 2018

Microfabricated intracortical extracellular matrix-microelectrodes for improving neural interfaces

Wen Shen; Suradip Das; Flavia Vitale; Andrew G. Richardson; Akshay Ananthakrishnan; Laura A. Struzyna; Daniel P. Brown; Naixin Song; Murari Ramkumar; Timothy H. Lucas; D. Kacy Cullen; Brian Litt; Mark G. Allen

Intracortical neural microelectrodes, which can directly interface with local neural microcircuits with high spatial and temporal resolution, are critical for neuroscience research, emerging clinical applications, and brain computer interfaces (BCI). However, clinical applications of these devices remain limited mostly by their inability to mitigate inflammatory reactions and support dense neuronal survival at their interfaces. Herein we report the development of microelectrodes primarily composed of extracellular matrix (ECM) proteins, which act as a bio-compatible and an electrochemical interface between the microelectrodes and physiological solution. These ECM-microelectrodes are batch fabricated using a novel combination of micro-transfer-molding and excimer laser micromachining to exhibit final dimensions comparable to those of commercial silicon-based microelectrodes. These are further integrated with a removable insertion stent which aids in intracortical implantation. Results from electrochemical models and in vivo recordings from the rat’s cortex indicate that ECM encapsulations have no significant effect on the electrochemical impedance characteristics of ECM-microelectrodes at neurologically relevant frequencies. ECM-microelectrodes are found to support a dense layer of neuronal somata and neurites on the electrode surface with high neuronal viability and exhibited markedly diminished neuroinflammation and glial scarring in early chronic experiments in rats.Neural electrodes: biocompatible interfacingNeural microelectrodes composed of extracellular matrix proteins enable biocompatible interfaces that reduce inflammatory reactions, and allow dense neuronal surface activity. Neuroscience research relies upon direct interfacing of electrodes with neural microcircuits. However, inflammatory response in the host organism is a major challenge, as is ensuring complete interfacing with the electrode. A team from University of Pennsylvania led by Mark Allen now use extracellular matrix proteins at the interface between the electrode and the organism, fabricated via micro-molding and transfer, and micro-machining. In vivo studies of the cortex region of a rat suggest that protein encapsulation of the electrode has no negative effect on impedance measurements, and can support a dense layer of neuronal somata and neutrites on the electrode surface. Diminished neuroinflammation suggests the possibility to apply these electrodes in clinical situations.


Journal of Neurophysiology | 2018

Spatiotemporal evolution of focal epileptiform activity from surface and laminar field recordings in cat neocortex

Hank Bink; Madineh Sedigh-Sarvestani; Ivan Fernandez-Lamo; Lohith Kini; Hoameng Ung; Duygu Kuzum; Flavia Vitale; Brian Litt; Diego Contreras

New devices that use targeted electrical stimulation to treat refractory localization-related epilepsy have shown great promise, although it is not well known which targets most effectively prevent the initiation and spread of seizures. To better understand how the brain transitions from healthy to seizing on a local scale, we induced focal epileptiform activity in the visual cortex of five anesthetized cats with local application of the GABAA blocker picrotoxin while simultaneously recording local field potentials on a high-resolution electrocorticography array and laminar depth probes. Epileptiform activity appeared in the form of isolated events, revealing a consistent temporal pattern of ictogenesis across animals with interictal events consistently preceding the appearance of seizures. Based on the number of spikes per event, there was a natural separation between seizures and shorter interictal events. Two distinct spatial regions were seen: an epileptic focus that grew in size as activity progressed, and an inhibitory surround that exhibited a distinct relationship with the focus both on the surface and in the depth of the cortex. Epileptiform activity in the cortical laminae was seen concomitant with activity on the surface. Focus spikes appeared earlier on electrodes deeper in the cortex, suggesting that deep cortical layers may be integral to recruiting healthy tissue into the epileptic network and could be a promising target for interventional devices. Our study may inform more effective therapies to prevent seizure generation and spread in localization-related epilepsies. NEW & NOTEWORTHY We induced local epileptiform activity and recorded continuous, high-resolution local field potentials from the surface and depth of the visual cortex in anesthetized cats. Our results reveal a consistent pattern of ictogenesis, characterize the spatial spread of the epileptic focus and its relationship with the inhibitory surround, and show that focus activity within events appears earliest in deeper cortical layers. These findings have potential implications for the monitoring and treatment of refractory epilepsy.


ACS Nano | 2018

Two-Dimensional Ti3C2 MXene for High-Resolution Neural Interfaces

Nicolette Driscoll; Andrew G. Richardson; Kathleen Maleski; Babak Anasori; Oladayo Adewole; Pavel Lelyukh; Lilia Escobedo; D. Kacy Cullen; Timothy H. Lucas; Yury Gogotsi; Flavia Vitale

High-resolution neural interfaces are essential tools for studying and modulating neural circuits underlying brain function and disease. Because electrodes are miniaturized to achieve higher spatial resolution and channel count, maintaining low impedance and high signal quality becomes a significant challenge. Nanostructured materials can address this challenge because they combine high electrical conductivity with mechanical flexibility and can interact with biological systems on a molecular scale. Unfortunately, fabricating high-resolution neural interfaces from nanostructured materials is typically expensive and time-consuming and does not scale, which precludes translation beyond the benchtop. Two-dimensional (2D) Ti3C2 MXene possesses a combination of remarkably high volumetric capacitance, electrical conductivity, surface functionality, and processability in aqueous dispersions distinct among carbon-based nanomaterials. Here, we present a high-throughput microfabrication process for constructing Ti3C2 neuroelectronic devices and demonstrate their superior impedance and in vivo neural recording performance in comparison with standard metal microelectrodes. Specifically, when compared to gold microelectrodes of the same size, Ti3C2 electrodes exhibit a 4-fold reduction in interface impedance. Furthermore, intraoperative in vivo recordings from the brains of anesthetized rats at multiple spatial and temporal scales demonstrate that Ti3C2 electrodes exhibit lower baseline noise, higher signal-to-noise ratio, and reduced susceptibility to 60 Hz interference than gold electrodes. Finally, in neuronal biocompatibility studies, neurons cultured on Ti3C2 are as viable as those in control cultures, and they can adhere, grow axonal processes, and form functional networks. Overall, our results indicate that Ti3C2 MXene microelectrodes have the potential to become a powerful platform technology for high-resolution biological interfaces.


Aiche Journal | 2014

A multiscale, biophysical model of flow‐induced red blood cell damage

Flavia Vitale; Jaewook Nam; Luca Turchetti; Marek Behr; Robert M. Raphael; Maria Cristina Annesini; Matteo Pasquali


Nano Letters | 2018

Fluidic Microactuation of Flexible Electrodes for Neural Recording

Flavia Vitale; Daniel G. Vercosa; Alexander V. Rodriguez; Sushma Sri Pamulapati; Frederik Seibt; Eric Lewis; J. Stephen Yan; Krishna N. Badhiwala; Mohammed Adnan; Gianni Royer-Carfagni; Michael Beierlein; Caleb Kemere; Matteo Pasquali; Jacob T. Robinson

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Brian Litt

University of Pennsylvania

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Timothy H. Lucas

University of Pennsylvania

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D. Kacy Cullen

University of Pennsylvania

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Hank Bink

University of Pennsylvania

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Hoameng Ung

University of Pennsylvania

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