Cited by 150Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit DesignEEG and Brain-Computer Interfaces

Recent Advances in Electrical Neural Interface Engineering: Minimal Invasiveness, Longevity, and Scalability

Open access
Luan, Lan, Robinson, Jacob T., Aazhang, Behnaam, Chi, Taiyun, Yang, Kaiyuan, Li, Xue, Rathore, Haad, Singer, Amanda +4 more·2020·Neuron

Abstract

Electrical neural interfaces serve as direct communication pathways that connect the nervous system with the external world. Technological advances in this domain are providing increasingly more powerful tools to study, restore, and augment neural functions. Yet, the complexities of the nervous system give rise to substantial challenges in the design, fabrication, and system-level integration of these functional devices. In this review, we present snapshots of the latest progresses in electrical neural interfaces, with an emphasis on advances that expand the spatiotemporal resolution and extent of mapping and manipulating brain circuits. We include discussions of large-scale, long-lasting neural recording; wireless, miniaturized implants; signal transmission, amplification, and processing; as well as the integration of interfaces with optical modalities. We outline the background and rationale of these developments and share insights into the future directions and new opportunities they enable.

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Crossref · 10.1016/j.neuron.2020.10.011

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  • Energy-harvesting and wireless power transfer and communication technologies have enabled chronic implantation of closed-loop bioelectronic systems with external control, eliminating the risks of surgical complications from percutaneous wires or additional surgery to replace device batteries or adjust neuromodulation protocols.

    “Energy-harvesting and wireless power transfer and communication technologies have enabled chronic implantation of closed-loop bioelectronic systems with external control, eliminating the risks of surgical complications from percutaneous wires or additional surgery to replace device batteries or adjust neuromodulation protocols [205].”

    From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [205]

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  • Miniature device fabrication has seen improvements in recent decades with the development of soft bioelectronics to interface biological tissues.

    “Miniature device fabrication has seen improvements in recent decades with the development of soft bioelectronics to interface biological tissues. [204], [205].”

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Research works printed but not linked: 5

  1. Barrese JC, Rao N, Paroo K, Triebwasser C, Vargas-Irwin C, Franquemont L, and Donoghue JP (2013b). Failure mode analysis of silicon-based intracortical microelectrode arrays in non-human primates. Journal of neural engineering 10, 066014. 24216311 PMC4868924
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Authors
Luan, L., Robinson, J. T., Aazhang, B., Chi, T., Yang, K., Li, X., Rathore, H., Singer, A., Yellapantula, S., Fan, Y., Yu, Z., & Xie, C.
Affiliations
Rice University (US)
Corresponding author
Xie, Chong
Venue
Neuron
Publisher
Elsevier BV
Published
2020-10
Volume
108
Issue
2
Pages
302-321
ISSN
0896-6273 (ISSN-L)
OpenAlex
W3095192094
Cited by
150
References
170
Citations by year
2026: 17 · 2025: 28 · 2024: 21 · 2023: 39 · 2022: 25 · 2021: 20
FWCI
2.91
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Welch Foundation
  • National Heart, Lung, and Blood Institute
  • National Science Foundation
  • National Institute of Biomedical Imaging and Bioengineering
  • National Institute of Neurological Disorders and Stroke
  • John S. Dunn Foundation
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords
brain-computer interface, neural recording, long-term neural recording, wireless implants, neural signal amplification, neural signal processing, optoelectronic integration, neural circuit mapping, neurostimulation, implant survival, scalability
MeSH terms
Animals, Brain, Electric Stimulation, Electrodes, Implanted, Humans, Neurons, Neurosciences, Telemetry, Brain-Computer Interfaces

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