Evidence map›Paper›PMID 39997002›Full record

ReviewBiosensors2025

Recent Progress in Flexible Microelectrode Arrays for Combined Electrophysiological and Electrochemical Sensing.

Umisha Siwakoti, Steven A Jones, Deepak Kumbhare, Xinyan Tracy Cui, Elisa Castagnola

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  5. Review
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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

5 authors.

Umisha SiwakotiDepartment of Biomedical Engineering, Louisiana Tech University, Ruston, LA 71272, USA.
Steven A JonesDepartment of Biomedical Engineering, Louisiana Tech University, Ruston, LA 71272, USA.ORCID 0000-0002-0897-5502
Deepak KumbhareDepartment of Neurosurgery, Louisiana State University Health Sciences, Shreveport, LA 71103, USA.ORCID 0000-0003-2514-9576
Xinyan Tracy CuiDepartment of Bioengineering, University of Pittsburg, Pittsburgh, PA 15260, USA.ORCID 0000-0002-0470-2005
Elisa CastagnolaDepartment of Biomedical Engineering, Louisiana Tech University, Ruston, LA 71272, USA.ORCID 0000-0001-8070-4777

Funding

Efficiency and Safety of Microstimulation Via Different Electrode MaterialsR01NS110564 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CUI, XINYAN TRACY · 2019 to 2024
$3.1M
Investigation of Cognitive and Affective Deficits Post TBI Using Multimodal Flexible Neural ProbesR01NS136622 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XINYAN Tracy CUI, AMY K WAGNER · 2024 to 2026
$1.6M
Probing the Role of Serotonin in Neuropathic Pain with Flexible Carbon Microelectrode ArraysR01NS126454 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Elisa Castagnola · 2022 to 2026
$1.2M
Development of carbon-nanotube fiber based microelectrode array for neuroscienceR21NS125461 · NINDS · UNIVERSITY OF CINCINNATI · PI ALVAREZ, NOE · 2022 to 2022
$431k
Flexible Multielectrode Arrays for Tonic and Phasic Serotonin Electrochemical Detection in the BrainR21MH128803 · NIMH · LOUISIANA TECH UNIVERSITY · PI CASTAGNOLA, ELISA · 2022 to 2023
$405k
Deep brain stimulation of the Nucleus Basalis of Meynert: the role of stimulation parameters in neurogenesis and cognitive recovery.R03AG075637 · NIA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KUMBHARE, DEEPAK · 2022 to 2023
$292k
NIA NIH HHS R03 AG075637NIMH NIH HHS R21 MH128803NINDS NIH HHS R01 NS110564NINDS NIH HHS R01 NS126454NINDS NIH HHS R01 NS136622NINDS NIH HHS R21 NS125461This research was funded by the National Institute of Heath R01NS126454 and R21MH128803
6 · The paper itself

Abstract

Understanding brain function requires advanced neural probes to monitor electrical and chemical signaling across multiple timescales and brain regions. Microelectrode arrays (MEAs) are widely used to record neurophysiological activity across various depths and brain regions, providing single-unit resolution for extended periods. Recent advancements in flexible MEAs, built on micrometer-thick polymer substrates, have improved integration with brain tissue by mimicking the brain's soft nature, reducing mechanical trauma and inflammation. These flexible, subcellular-scale MEAs can record stable neural signals for months, making them ideal for long-term studies. In addition to electrical recording, MEAs have been functionalized for electrochemical neurotransmitter detection. Electroactive neurotransmitters, such as dopamine, serotonin, and adenosine, can be directly measured via electrochemical methods, particularly on carbon-based surfaces. For non-electroactive neurotransmitters like acetylcholine, glutamate, and γ-aminobutyric acid, alternative strategies, such as enzyme immobilization and aptamer-based recognition, are employed to generate electrochemical signals. This review highlights recent developments in flexible MEA fabrication and functionalization to achieve both electrochemical and electrophysiological recordings, minimizing sensor fowling and brain damage when implanted long-term. It covers multi-time scale neurotransmitter detection, development of conducting polymer and nanomaterial composite coatings to enhance sensitivity, incorporation of enzyme and aptamer-based recognition methods, and the integration of carbon electrodes on flexible MEAs. Finally, it summarizes strategies to acquire electrochemical and electrophysiological measurements from the same device.

Indexed as

Biosensing TechniquesElectrochemical TechniquesAnimalsHumansMicroelectrodesNeurotransmitter AgentsNeurotransmitter Agentselectrophysiologyflexible MEAsneurotransmitter detection

Identifiers

PMID39997002
PMCPMC11853293

What OpenQuestion holds

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LicenceCC BY
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.