Evidence map›Paper›PMID 36192597›Full record

ArticleNature biomedical engineering2023

Ultraflexible electrode arrays for months-long high-density electrophysiological mapping of thousands of neurons in rodents.

Zhengtuo Zhao, Hanlin Zhu, Xue Li, Liuyang Sun, Fei He, Jason E Chung, Daniel F Liu, Loren Frank, Lan Luan, Chong Xie

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

  1. Review
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  11. Article
  12. Extracellular Spike Waveforms: Morphology, Biophysics, and Classification Strategies.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Review
  13. Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  14. Article
  15. Article
  16. Article
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29 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Zhengtuo Zhao *Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Hanlin Zhu *Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Xue Li *Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Liuyang SunDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Fei HeDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Jason E ChungHoward Hughes Medical Institute, Kavli Institute of Fundamental Neuroscience, and Departments of Physiology and Psychiatry, University of California San Francisco, San Francisco, CA, USA.
Daniel F LiuHoward Hughes Medical Institute, Kavli Institute of Fundamental Neuroscience, and Departments of Physiology and Psychiatry, University of California San Francisco, San Francisco, CA, USA.
Loren FrankHoward Hughes Medical Institute, Kavli Institute of Fundamental Neuroscience, and Departments of Physiology and Psychiatry, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-1752-5677
Lan LuanDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA. lan.luan@rice.edu.ORCID 0000-0002-5327-2240
Chong XieDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA. chongxie@rice.edu.ORCID 0000-0002-5544-2864

Funding

Modular Systems for Large Scale, Long Lasting Measurements of Brain ActivityUF1NS107667 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADESNIK, HILLEL, BRAINARD, MICHAEL S · 2018 to 2018
$6.1M
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
Nanoelectronic enabled chronic quantification of neurovascular couplingK25HL140153 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI LUAN, LAN · 2018 to 2022
$890k
Howard Hughes Medical InstituteNHLBI NIH HHS K25 HL140153NINDS NIH HHS R01 NS102917NINDS NIH HHS R01 NS109361NINDS NIH HHS U01 NS115588NINDS NIH HHS UF1 NS107667
6 · The paper itself

Abstract

Penetrating flexible electrode arrays can simultaneously record thousands of individual neurons in the brains of live animals. However, it has been challenging to spatially map and longitudinally monitor the dynamics of large three-dimensional neural networks. Here we show that optimized ultraflexible electrode arrays distributed across multiple cortical regions in head-fixed mice and in freely moving rats allow for months-long stable electrophysiological recording of several thousand neurons at densities of about 1,000 neural units per cubic millimetre. The chronic recordings enhanced decoding accuracy during optogenetic stimulation and enabled the detection of strongly coupled neuron pairs at the million-pair and millisecond scales, and thus the inference of patterns of directional information flow. Longitudinal and volumetric measurements of neural couplings may facilitate the study of large-scale neural circuits.

Indexed as

Electrophysiological PhenomenaRodentiaAnimalsBrainElectrodes, ImplantedMiceNeuronsRats

Identifiers

PMID36192597
PMCPMC10067539

What OpenQuestion holds

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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.