Evidence map›Paper›PMID 41030894›Full record

ArticleAdvanced materials technologies2025

Biological and Mechanical Limitations for Chronic Fast-Scan Cyclic Voltammetry Sensor Design.

Mason L Perillo, Bhavna Gupta, Akash Saxena, Alexandra P Veltri, Wen Li, James R Siegenthaler, Erin K Purcell

Abstract read
In one paragraph

Article in Advanced materials technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Mason L PerilloDepartment of Biomedical Engineering and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
Bhavna GuptaNeuroscience Program, Michigan State University, East Lansing, MI 48824, USA.
Akash SaxenaDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
Alexandra P VeltriDepartment of Biomedical Engineering and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
Wen LiDepartment of Biomedical Engineering and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
James R SiegenthalerDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
Erin K PurcellDepartment of Biomedical Engineering and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.

Funding

Microfabricated all-diamond microelectrode arrays for neurotransmitter sensing and extracellular recordingR01NS116080 · NINDS · MICHIGAN STATE UNIVERSITY · PI LI, WEN · 2020 to 2024
$3.0M
NINDS NIH HHS R01 NS116080
6 · The paper itself

Abstract

Fast scan cyclic voltammetry (FSCV) is a popular approach for real-time neurochemical sensing. Using a carbon-fiber microelectrode (CFME), sensitive neurochemical sensing can be achieved in the acute setting with sub-second resolution for monoamine neurotransmitters. However, to study neuropsychiatric conditions and neurological functions, it is often of interest to perform longitudinal monitoring of neurotransmitters over chronic timepoints. Despite notable successes, there remains substantial room for improvement in chronic neurochemical sensing performance. Electrode fouling and cellular encapsulation that can occur following surgical implantation can lead to diminished sensor performance over time. Additionally, working and reference electrodes can suffer from etching and polarization that can hinder their longevity and stability. Here, we review current challenges facing chronic neurochemical sensors and discuss state-of-the-art advancements in electrode material and device design choices. We cover how the biological environment can negatively affect sensing performance and how device design can mitigate these effects. We also provide examples of state-of-the-art electrode technologies that have been developed to improve chronic neurochemical sensing. Improvements in FSCV as a tool for chronic neurotransmitter sensing will open new opportunities to study neurodegenerative and neuropsychiatric diseases, develop feedback systems for neuromodulation, and explore the neurochemical underpinnings of normal brain function and behavior.

Indexed as

electrochemistryfast scan cyclic voltammetryneural recordingneurochemical sensingneuropsychiatric diseasesneuroscience

Identifiers

PMID41030894
PMCPMC12478589

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.