Recent Advances in Electrical Neural Interface Engineering: Minimal Invasiveness, Longevity, and Scalability
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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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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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Experimental — accuracy not yet measuredMiniature 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].”
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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“[204], [205].”
- 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
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 108
- Issue
- 2
- Pages
- 302-321
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC7646678
- 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
- bronze
- doi.org
- Licence
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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