Photovoltaic organic interface for neuronal stimulation in the near-infrared

Leccardi, Marta Jole Ildelfonsa Airaghi; Chenais, Naïg Aurélia Lüdmilla; Ferlauto, Laura; Kawecki, Maciej; Zollinger, Elodie Geneviève; Ghezzi, Diego

doi:10.1038/s43246-020-0023-4

Cited by 52 publications

(39 citation statements)

References 60 publications

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“…For the intensity of 0.57 mW mm −2 , type I and type II biointerfaces produce -65 ± 7 mV and 175 ± 13 mV (Mean ± SD, for N = 8) photovoltages under 10 ms pulse, respectively. These numbers are promising for potential photostimulation applications considering the reported photovoltage values in a previous QD-based study that can evoke neural activity (Bareket et al, 2014), and also previous organic semiconductor-based biointerface studies that reported similar or lower photovoltage values and still effectively stimulate neurons (Gautam et al, 2014;Ciocca et al, 2020;Leccardi et al, 2020).…”

Section: Photoelectrical Performance Of Biointerfacesmentioning

confidence: 69%

Nanoengineering InP Quantum Dot-Based Photoactive Biointerfaces for Optical Control of Neurons

et al. 2021

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Light-activated biointerfaces provide a non-genetic route for effective control of neural activity. InP quantum dots (QDs) have a high potential for such biomedical applications due to their uniquely tunable electronic properties, photostability, toxic-heavy-metal-free content, heterostructuring, and solution-processing ability. However, the effect of QD nanostructure and biointerface architecture on the photoelectrical cellular interfacing remained unexplored. Here, we unravel the control of the photoelectrical response of InP QD-based biointerfaces via nanoengineering from QD to device-level. At QD level, thin ZnS shell growth (∼0.65 nm) enhances the current level of biointerfaces over an order of magnitude with respect to only InP core QDs. At device-level, band alignment engineering allows for the bidirectional photoelectrochemical current generation, which enables light-induced temporally precise and rapidly reversible action potential generation and hyperpolarization on primary hippocampal neurons. Our findings show that nanoengineering QD-based biointerfaces hold great promise for next-generation neurostimulation devices.

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Section: Photoelectrical Performance Of Biointerfacesmentioning

confidence: 69%

Nanoengineering InP Quantum Dot-Based Photoactive Biointerfaces for Optical Control of Neurons

et al. 2021

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“…[ 240 ] Either conductive polymers [ 241–243 ] or graphene [ 244 ] arrays are used to enhance this conversion, and enable photovoltaic subretinal implants. [ 245,246 ] Electrodes can be designed as pillars, and in a honeycomb lattice, to improve the electrode resolution and more effectively stimulate the retinal neurons. [ 247–249 ] Other models of electrode structures may further improve these interfaces.…”

Section: Surface Electrode Arrays For the Central And Peripheral Nerv...mentioning

confidence: 99%

“…[ 247–249 ] Other models of electrode structures may further improve these interfaces. [ 250 ] While some retinal surface arrays have a comparable number of electrodes to the implants used for the brain or spinal cord (between 16 and 32 electrodes), most have more than a thousand [ 251,252 ] and as many as 10 500 electrodes [ 245 ] in order to recreate as high resolution of an image as possible.…”

Section: Surface Electrode Arrays For the Central And Peripheral Nerv...mentioning

confidence: 99%

Materials for Implantable Surface Electrode Arrays: Current Status and Future Directions

Tringides

Mooney

2022

Advanced Materials

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with the outermost layer of biological tissues, often spanning a significant surface area. Devices typically have multiple electrodes that aim to monitor and modulate cells and tissues in a minimally invasive manner, using biomaterials designed to evoke minimal inflammatory responses. Applications of Surface Electrode Arrays RecordingBecause surface electrode arrays can record a "snapshot" of the electrical activity at distinct locations, these arrays are useful to monitor the function of a tissue. Though the recordings are typically local field potentials, with electrodes that are small enough to modulate as little of a location as possible while still maintaining a sufficiently high conductivity, single units from individual cells have been reported. Clinically, these recordings are used to map the epicardial surface to identify instances, and potentially mechanisms, of chronic atrial fibrillation, [1] dysfunction of ventricular tachycardia caused by congenital defects, [2] and other abnormal conduction conditions in the cardiac system. Clinical electrocorticogram (ECoG) is used to identify similar functional changes on the cortical surface of the brain, most commonly to identify epileptic focal center(s), or detect seizure activity. [3][4][5][6][7] Other functional uses of ECoG include intraoperative monitoring during tumor resection. [8] A surgeon can ask a patient to perform an activity such as a speech and then identify and avoid the active cortical regions during surgery, to avoid major disruptions to the patient quality of life. StimulationInstead of passively monitoring electrical activity, multielectrode surface arrays can provide electrical current to the underlying tissue and induce a desired excitatory or inhibitory response. The applications for stimulating surface electrode arrays are often therapeutic and include implantable pacemakers, which restore a normal cardiac rhythm by providing external and overriding cues to the cardiomyocytes responsible for establishing a sinus rhythm. [9] Pulses delivered to specific regions of the spinal cord are used to manage chronic pain, [10][11][12] and more recently as a therapy to promote neuronal plasticity in Surface electrode arrays are mainly fabricated from rigid or elastic materials, and precisely manipulated ductile metal films, which offer limited stretchability. However, the living tissues to which they are applied are nonlinear viscoelastic materials, which can undergo significant mechanical deformation in dynamic biological environments. Further, the same arrays and compositions are often repurposed for vastly different tissues rather than optimizing the materials and mechanical properties of the implant for the target application. By first characterizing the desired biological environment, and then designing a technology for a particular organ, surface electrode arrays may be more conformable, and offer better interfaces to tissues while causing less damage. Here, the various materials used in each component of a surface electrode array are first r...

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“…These polymeric hydrogel nanomaterials are often used as supportive scaffolds which satisfy the biochemical and biophysical microenvironment needs for optimal neural functioning while allowing for electrical stimulation to control the activities of the neuron ( Farokhi et al., 2021 ). Organic semiconductors can also inhibit or stimulate action potentials in neurons through light excitation ( Leccardi et al., 2020 ). For example, optical controlling of conjugated polymer films interfaced on neurons can promote neuronal silencing ( Feyen et al., 2016 ).…”

Section: Mechanisms Of Neuronal Modulationmentioning

confidence: 99%

Freestanding nanomaterials for subcellular neuronal interfaces

2022

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Summary Current technological advances in neural probing and modulation have enabled an extraordinary glimpse into the intricacies of the nervous system. Particularly, nanomaterials are proving to be an incredibly versatile platform for neurological applications owing to their biocompatibility, tunability, highly specific targeting and sensing, and long-term chemical stability. Among the most desirable nanomaterials for neuroengineering, freestanding nanomaterials are minimally invasive and remotely controlled. This review outlines the most recent developments of freestanding nanomaterials that operate on the neuronal interface. First, the different nanomaterials and their mechanisms for modulating neurons are explored to provide a basis for how freestanding nanomaterials operate. Then, the three main applications of subcellular neuronal engineering—modulating neuronal behavior, exploring fundamental neuronal mechanism, and recording neuronal signal—are highlighted with specific examples of current advancements. Finally, we conclude with our perspective on future nanomaterial designs and applications.

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Photovoltaic organic interface for neuronal stimulation in the near-infrared

Cited by 52 publications

References 60 publications

Nanoengineering InP Quantum Dot-Based Photoactive Biointerfaces for Optical Control of Neurons

Nanoengineering InP Quantum Dot-Based Photoactive Biointerfaces for Optical Control of Neurons

Materials for Implantable Surface Electrode Arrays: Current Status and Future Directions

Freestanding nanomaterials for subcellular neuronal interfaces

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