Evidence map›Paper›PMID 29220192›Full record

ArticleNano letters2018

Fluidic Microactuation of Flexible Electrodes for Neural Recording.

Flavia Vitale, Daniel G Vercosa, Alexander V Rodriguez, Sushma Sri Pamulapati, Frederik Seibt, Eric Lewis, J Stephen Yan, Krishna Badhiwala, Mohammed Adnan, Gianni Royer-Carfagni and 4 more

Abstract read
In one paragraph

Article in Nano letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.1field-weighted citation impact, top 3% of its field
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

43 citing papers in PubMed, 110 citations in OpenAlex.

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  6. Capturing the Electrical Activity of all Cortical Neurons: Are Solutions Within Reach?Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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 at 4 institutions in 2 countries.

Flavia VitaleDepartment of Chemical and Biomolecular Engineering, Rice University , Houston, Texas 77005, United States.
Daniel G VercosaApplied Physics Program, Rice University , Houston, Texas 77005, United States.
Alexander V RodriguezDepartment of Electrical and Computer Engineering, Rice University , Houston, Texas 77005, United States.
Sushma Sri PamulapatiDepartment of Chemical and Biomolecular Engineering, Rice University , Houston, Texas 77005, United States.
Frederik SeibtDepartment of Neurobiology and Anatomy, McGovern Medical School at UTHealth , Houston, Texas 77030, United States.
Eric LewisDepartment of Electrical and Computer Engineering, Rice University , Houston, Texas 77005, United States.
J Stephen YanDepartment of Bioengineering, Rice University , Houston, Texas 77005, United States.
Krishna BadhiwalaDepartment of Bioengineering, Rice University , Houston, Texas 77005, United States.
Mohammed AdnanDepartment of Chemical and Biomolecular Engineering, Rice University , Houston, Texas 77005, United States.
Gianni Royer-CarfagniDepartment of Engineering and Architecture, University of Parma , Parma I-43100, Italy.
Michael BeierleinDepartment of Neurobiology and Anatomy, McGovern Medical School at UTHealth , Houston, Texas 77030, United States.
Caleb KemereDepartment of Electrical and Computer Engineering, Rice University , Houston, Texas 77005, United States.
Matteo PasqualiDepartment of Chemical and Biomolecular Engineering, Rice University , Houston, Texas 77005, United States.ORCID 0000-0001-5951-395X
Jacob T RobinsonApplied Physics Program, Rice University , Houston, Texas 77005, United States.ORCID 0000-0002-3509-3054
Rice University · USBaylor College of Medicine · USThe University of Texas Health Science Center at Houston · USUniversity of Parma · IT

Funding

Synaptic Integration in Neurons of the Thalamic Reticular NucleusR01NS077989 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BEIERLEIN, MICHAEL · 2012 to 2016
$1.6M
NINDS NIH HHS R01 NS077989
6 · The paper itself

Abstract

Soft and conductive nanomaterials like carbon nanotubes, graphene, and nanowire scaffolds have expanded the family of ultraflexible microelectrodes that can bend and flex with the natural movement of the brain, reduce the inflammatory response, and improve the stability of long-term neural recordings. However, current methods to implant these highly flexible electrodes rely on temporary stiffening agents that temporarily increase the electrode size and stiffness thus aggravating neural damage during implantation, which can lead to cell loss and glial activation that persists even after the stiffening agents are removed or dissolve. A method to deliver thin, ultraflexible electrodes deep into neural tissue without increasing the stiffness or size of the electrodes will enable minimally invasive electrical recordings from within the brain. Here we show that specially designed microfluidic devices can apply a tension force to ultraflexible electrodes that prevents buckling without increasing the thickness or stiffness of the electrode during implantation. Additionally, these "fluidic microdrives" allow us to precisely actuate the electrode position with micron-scale accuracy. To demonstrate the efficacy of our fluidic microdrives, we used them to actuate highly flexible carbon nanotube fiber (CNTf) microelectrodes for electrophysiology. We used this approach in three proof-of-concept experiments. First, we recorded compound action potentials in a soft model organism, the small cnidarian Hydra. Second, we targeted electrodes precisely to the thalamic reticular nucleus in brain slices and recorded spontaneous and optogenetically evoked extracellular action potentials. Finally, we inserted electrodes more than 4 mm deep into the brain of rats and detected spontaneous individual unit activity in both cortical and subcortical regions. Compared to syringe injection, fluidic microdrives do not penetrate the brain and prevent changes in intracranial pressure by diverting fluid away from the implantation site during insertion and actuation. Overall, the fluidic microdrive technology provides a robust new method to implant and actuate ultraflexible neural electrodes.

Indexed as

Lab-On-A-Chip DevicesAction PotentialsAnimalsBrainElasticityEquipment DesignHydraMicroelectrodesNanotubes, CarbonNeuronsRatsNanotubes, Carboncarbon nanotube fibersFlexible microelectrodesmicrofluidicsneural interfacesneurophysiology

Identifiers

PMID29220192
PMCPMC6632092
OpenAlexW2725707729

What OpenQuestion holds

Textmetadata
LicenceTDM
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.