Neuron devices: emerging prospects in neural interfaces and recognition

Wang, Yang; Liu, Shuangjie; Wang, Hao; Zhao, Yue; Zhang, Xiaodong

doi:10.1038/s41378-022-00453-4

Cited by 11 publications

(7 citation statements)

References 144 publications

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“…The potential of cell adhesion molecules extends beyond neural‐electrode interfaces in neuromodulation and neuroprosthetic systems, as previously mentioned, showcasing their versatility in various applications. Their versatility for modification extends beyond neural‐electrode interfaces in neuromodulation and neuroprosthetic systems to encompass neural tissue engineering applications, including the utilization in nerve guidance conduits or drug delivery particles 2,101,102 . Depending on the materials employed, these molecules can be applied through chemical crosslinking and biochemical conjugation techniques, especially when long‐term functionality is required.…”

Section: Resultsmentioning

confidence: 99%

“…Their versatility for modification extends beyond neural-electrode interfaces in neuromodulation and neuroprosthetic systems to encompass neural tissue engineering applications, including the utilization in nerve guidance conduits or drug delivery particles. 2,101,102 Depending on the materials employed, these molecules can be applied through chemical crosslinking and biochemical conjugation techniques, especially when long-term functionality is required. Moreover, they can also be entrapped or immobilized within scaffolds, particularly hydrogels commonly used in neural tissue engineering applications.…”

Section: Long-term Implications Of Coatings and Future Prospectsmentioning

confidence: 99%

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Cell adhesion molecule immobilized gold surfaces for enhanced neuron‐electrode interfaces

Aktas,

Ozgun,

Kilickap

et al. 2023

J Biomed Mater Res

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To provide a long‐term solution for increasing the biocompatibility of neuroprosthetics, approaches to reduce the side effects of invasive neuro‐implantable devices are still in need of improvement. Physical, chemical, and bioactive design aspects of the biomaterials are proven to be important for providing proper cell‐to‐cell, cell‐to‐material interactions. Particularly, modification of implant surfaces with bioactive cues, especially cell adhesion molecules (CAMs) that capitalize on native neural adhesion mechanisms, are promising candidates in favor of providing efficient interfaces. Within this concept, this study utilized specific CAMs, namely N‐Cadherin (Neural cadherin, N‐Cad) and neural cell adhesion molecule (NCAM), to enhance neuron‐electrode contact by mimicking the cell‐to‐ECM interactions for improving the survival of cells and promoting neurite outgrowth. For this purpose, representative gold electrode surfaces were modified with N‐Cadherin, NCAM, and the mixture (1:1) of these molecules. Modifications were characterized, and the effect of surface modification on both differentiated and undifferentiated neuroblastoma SH‐SY5Y cell lines were compared. The findings demonstrated the successful modification of these molecules which subsequently exhibited biocompatible properties as evidenced by the cell viability results. In cell culture experiments, the CAMs displayed promising results in promoting neurite outgrowth compared to conventional poly‐l‐lysine coated surfaces, especially NCAM and N‐Cad/NCAM modified surfaces clearly showed significant improvement. Overall, this optimized approach is expected to provide an insight into the action mechanisms of cells against the local environment and advance processes for the fabrication of alternative neural interfaces.

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Section: Resultsmentioning

confidence: 99%

Section: Long-term Implications Of Coatings and Future Prospectsmentioning

confidence: 99%

Cell adhesion molecule immobilized gold surfaces for enhanced neuron‐electrode interfaces

Aktas,

Ozgun,

Kilickap

et al. 2023

J Biomed Mater Res

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“…Big data refers to extremely large and complex datasets that exceed the capabilities of traditional data processing methods and tools ( Yoo and Shoaran, 2021 ; Basu et al, 2022 ; Pavlov and Tracey, 2022 ). The fusion of these technologies can be tailored to individual patients, fostering a new era of personalized medicine ( Debnath et al, 2020 ; Scangos et al, 2021 ; Wang et al, 2022 ). We here report key trajectories and research areas that materialize at the crossroads of big data, networks, and AI within the domain of Bioelectronic Medicine.…”

Section: Big Data Network and Ai In Bioelectronic Medicine ( ...mentioning

confidence: 99%

Bioelectronic Medicine: a multidisciplinary roadmap from biophysics to precision therapies

González-González,

Conde,

Latorre

et al. 2024

Front. Integr. Neurosci.

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Bioelectronic Medicine stands as an emerging field that rapidly evolves and offers distinctive clinical benefits, alongside unique challenges. It consists of the modulation of the nervous system by precise delivery of electrical current for the treatment of clinical conditions, such as post-stroke movement recovery or drug-resistant disorders. The unquestionable clinical impact of Bioelectronic Medicine is underscored by the successful translation to humans in the last decades, and the long list of preclinical studies. Given the emergency of accelerating the progress in new neuromodulation treatments (i.e., drug-resistant hypertension, autoimmune and degenerative diseases), collaboration between multiple fields is imperative. This work intends to foster multidisciplinary work and bring together different fields to provide the fundamental basis underlying Bioelectronic Medicine. In this review we will go from the biophysics of the cell membrane, which we consider the inner core of neuromodulation, to patient care. We will discuss the recently discovered mechanism of neurotransmission switching and how it will impact neuromodulation design, and we will provide an update on neuronal and glial basis in health and disease. The advances in biomedical technology have facilitated the collection of large amounts of data, thereby introducing new challenges in data analysis. We will discuss the current approaches and challenges in high throughput data analysis, encompassing big data, networks, artificial intelligence, and internet of things. Emphasis will be placed on understanding the electrochemical properties of neural interfaces, along with the integration of biocompatible and reliable materials and compliance with biomedical regulations for translational applications. Preclinical validation is foundational to the translational process, and we will discuss the critical aspects of such animal studies. Finally, we will focus on the patient point-of-care and challenges in neuromodulation as the ultimate goal of bioelectronic medicine. This review is a call to scientists from different fields to work together with a common endeavor: accelerate the decoding and modulation of the nervous system in a new era of therapeutic possibilities.

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“…Artificial perception systems consist of sensory neurons that can perceive temperature, pressure, and other sensory signals, which is very important for mimicking human sensory behavior [131][132][133][134][135]. Therefore, perception neurons carry great potential for exploring the external environment [136][137][138].…”

Section: Tactile Perceptionmentioning

confidence: 99%

Advances in memristor based artificial neuron fabrication-materials, models, and applications

Bian,

Liu,

Tao

et al. 2023

Int. J. Extrem. Manuf.

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Spiking Neural Network (SNN), widely known as the third-generation neural network, has been frequently investigated due to its excellent spatiotemporal information processing capability, high biological plausibility and low energy consumption characteristics. Analogous to the working mechanism of human brain, SNN system transmits information through spiking action of neurons. Therefore, artificial neurons are critical building blocks for constructing SNN in hardware. Memristors are drawing growing attentions due to low consumption, high speed, and nonlinearity characteristics, which are recently introduced to mimic the functions of biological neurons. Researchers have proposed multifarious memristive materials including organic materials, inorganic materials, or even two- dimensional materials. Taking advantage of the unique electrical behavior of these materials, several neuron models are successfully implemented, such as Hodgkin-Huxley (HH) model, leaky integrate-and-fire (LIF) model and integrate-and-fire (IF) model. In this review, the recent reports of artificial neuron based on memristive devices are discussed. In addition, we highlight the functions and applications through combining artificial neuronal device with sensors or the other electronic devices. Finally, the future challenges and outlooks of memristor-based artificial neurons are discussed, and the development of hardware implementation of brain-like intelligence system based on SNN is also prospected.

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Neuron devices: emerging prospects in neural interfaces and recognition

Cited by 11 publications

References 144 publications

Cell adhesion molecule immobilized gold surfaces for enhanced neuron‐electrode interfaces

Cell adhesion molecule immobilized gold surfaces for enhanced neuron‐electrode interfaces

Bioelectronic Medicine: a multidisciplinary roadmap from biophysics to precision therapies

Advances in memristor based artificial neuron fabrication-materials, models, and applications

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