Evidence map›Paper›PMID 33120025›Full record

ReviewNeuron2020

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

Lan Luan, Jacob T Robinson, Behnaam Aazhang, Taiyun Chi, Kaiyuan Yang, Xue Li, Haad Rathore, Amanda Singer, Sudha Yellapantula, Yingying Fan and 2 more

Abstract readReview
In one paragraph

Review in Neuron, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Understanding Glioblastoma Dynamics Using 3D Organoids and Engineered Extracellular Matrix.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Ultrasensitive measurement of brain penetration mechanics and blood vessel rupture with microscale probes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Capturing the Electrical Activity of all Cortical Neurons: Are Solutions Within Reach?Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  16. Review
  17. Review
  18. Direct-Print 3D Electrodes for Large-Scale, High-Density, and Customizable Neural Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Lan LuanDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA; Department of Bioengineering, Rice University, Houston, TX, USA; NeuroEngineering Initiative, Rice University, Houston, TX, USA.
Jacob T RobinsonDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA; Department of Bioengineering, Rice University, Houston, TX, USA; NeuroEngineering Initiative, Rice University, Houston, TX, USA.
Behnaam AazhangDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA; NeuroEngineering Initiative, Rice University, Houston, TX, USA.
Taiyun ChiDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Kaiyuan YangDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Xue LiDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA; NeuroEngineering Initiative, Rice University, Houston, TX, USA.
Haad RathoreNeuroEngineering Initiative, Rice University, Houston, TX, USA; Applied Physics Graduate Program, Rice University, Houston, TX, USA.
Amanda SingerNeuroEngineering Initiative, Rice University, Houston, TX, USA; Applied Physics Graduate Program, Rice University, Houston, TX, USA.
Sudha YellapantulaDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA; NeuroEngineering Initiative, Rice University, Houston, TX, USA.
Yingying FanDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Zhanghao YuDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Chong XieDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA; Department of Bioengineering, Rice University, Houston, TX, USA; NeuroEngineering Initiative, Rice University, Houston, TX, USA. Electronic address: chongxie@rice.edu.

Funding

Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordingsU01NS115588 · NINDS · RICE UNIVERSITY · PI FRANK, LOREN M, XIE, CHONG · 2020 to 2023
$4.6M
A Nanoelectronic Strategy for Reliable, Large-scale Chronic Neural RecordingR01NS102917 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI Chong Xie · 2017 to 2026
$3.5M
Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarctsR01NS109361 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI LUAN, LAN · 2019 to 2023
$2.9M
Development of a Wireless Endovascular Nerve Stimulator for Treatment of Refractory Neuropathic PainU18EB029353 · NIBIB · UNIVERSITY OF TEXAS MED BR GALVESTON · PI KAN, PETER TZE MAN, ROBINSON, JACOB T. · 2019 to 2019
$2.3M
Large-scale recording of population activity during social cognition in freely moving non-human primatesU01NS108680 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI AAZHANG, BEHNAAM, DRAGOI, VALENTIN · 2018 to 2020
$1.8M
Nanoelectronic enabled chronic quantification of neurovascular couplingK25HL140153 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI LUAN, LAN · 2018 to 2022
$890k
NHLBI NIH HHS K25 HL140153NIBIB NIH HHS U18 EB029353NINDS NIH HHS R01 NS102917NINDS NIH HHS R01 NS109361NINDS NIH HHS U01 NS108680NINDS NIH HHS U01 NS115588
6 · The paper itself

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.

Indexed as

Brain-Computer InterfacesAnimalsBrainElectric StimulationElectrodes, ImplantedHumansNeuronsNeurosciencesTelemetry

Identifiers

PMID33120025
PMCPMC7646678

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.