Evidence map›Paper›PMID 38728138›Full record

ArticleCell reports2024

Ultraflexible electrodes for recording neural activity in the mouse spinal cord during motor behavior.

Yu Wu, Benjamin A Temple, Nicole Sevilla, Jiaao Zhang, Hanlin Zhu, Pavlo Zolotavin, Yifu Jin, Daniela Duarte, Elischa Sanders, Eiman Azim and 4 more

Abstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Multifunctional bioelectronics for brain-body circuits.Nature reviews bioengineering · 2025
    Article
  8. In vivo microelectrode arrays for neuroscience.Nature reviews. Methods primers · 2025
    Article
  9. 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

14 authors.

Yu WuDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA; Rice Neuroengineering Initiative, Rice University, Houston, TX 77030, USA.
Benjamin A TempleGene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA; Neurosciences Graduate Program, University of California, San Diego, La Jolla, CA 92037, USA.
Nicole SevillaRice Neuroengineering Initiative, Rice University, Houston, TX 77030, USA; Department of Bioengineering, Rice University, Houston, TX 77030, USA.
Jiaao ZhangDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA; Rice Neuroengineering Initiative, Rice University, Houston, TX 77030, USA.
Hanlin ZhuDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA; Rice Neuroengineering Initiative, Rice University, Houston, TX 77030, USA.
Pavlo ZolotavinDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA; Rice Neuroengineering Initiative, Rice University, Houston, TX 77030, USA.
Yifu JinDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA; Rice Neuroengineering Initiative, Rice University, Houston, TX 77030, USA.
Daniela DuarteWaitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Elischa SandersMolecular Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Eiman AzimMolecular Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Axel NimmerjahnWaitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Samuel L PfaffGene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA. Electronic address: pfaff@salk.edu.
Lan LuanDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA; Rice Neuroengineering Initiative, Rice University, Houston, TX 77030, USA; Department of Bioengineering, Rice University, Houston, TX 77030, USA. Electronic address: lan.luan@rice.edu.
Chong XieDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA; Rice Neuroengineering Initiative, Rice University, Houston, TX 77030, USA; Department of Bioengineering, Rice University, Houston, TX 77030, USA. Electronic address: chong.xie@rice.edu.

Funding

Spinal Circuits for the Control of Dextrous MovementU19NS112959 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI AZIM, EIMAN · 2019 to 2023
$14.3M
Neurosciences Graduate Training ProgramT32NS061847 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Brenda L Bloodgood · 2008 to 2026
$7.7M
Optimizing ultraflexible electrodes and integrated electronics for high-resolution, large-scale intraspinal recording and modulationU01NS131086 · NINDS · RICE UNIVERSITY · PI Lan Luan, Chong Xie · 2023 to 2026
$5.8M
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
Characterization of spinal circuits underlying motor synergy functionR01NS123160 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI PFAFF, SAMUEL L. · 2021 to 2025
$3.0M
Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarctsR01NS109361 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI LUAN, LAN · 2019 to 2023
$2.9M
Elucidating cellular activity patterns underlying spinal cord functionR01NS108034 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI NIMMERJAHN, AXEL · 2019 to 2022
$1.7M
Dissecting local (N) and long range (Z) circuit modules within the spinal cordR01NS135055 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI SAMUEL L. PFAFF · 2024 to 2026
$1.6M
NINDS NIH HHS R01 NS102917NINDS NIH HHS R01 NS108034NINDS NIH HHS R01 NS109361NINDS NIH HHS R01 NS123160NINDS NIH HHS R01 NS135055NINDS NIH HHS T32 NS061847NINDS NIH HHS U01 NS115588NINDS NIH HHS U01 NS131086NINDS NIH HHS U19 NS112959
6 · The paper itself

Abstract

Implantable electrode arrays are powerful tools for directly interrogating neural circuitry in the brain, but implementing this technology in the spinal cord in behaving animals has been challenging due to the spinal cord's significant motion with respect to the vertebral column during behavior. Consequently, the individual and ensemble activity of spinal neurons processing motor commands remains poorly understood. Here, we demonstrate that custom ultraflexible 1-μm-thick polyimide nanoelectronic threads can conduct laminar recordings of many neuronal units within the lumbar spinal cord of unrestrained, freely moving mice. The extracellular action potentials have high signal-to-noise ratio, exhibit well-isolated feature clusters, and reveal diverse patterns of activity during locomotion. Furthermore, chronic recordings demonstrate the stable tracking of single units and their functional tuning over multiple days. This technology provides a path for elucidating how spinal circuits compute motor actions.

Indexed as

Electrodes, ImplantedSpinal CordAction PotentialsAnimalsLocomotionMaleMiceMice, Inbred C57BLMotor ActivityNeuronsCP: Neurosciencefreely behaving micelaminar singlespinal cordultraflexible electrodesunit recordings

Identifiers

PMID38728138
PMCPMC11233142

What OpenQuestion holds

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Registered trials

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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.