Evidence map›Paper›PMID 37232863›Full record

ArticleBiosensors2023

A 512-Ch Dual-Mode Microchip for Simultaneous Measurements of Electrophysiological and Neurochemical Activities.

Geoffrey Mulberry, Kevin A White, Matthew A Crocker, Brian N Kim

Abstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Geoffrey MulberryDepartment of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA.
Kevin A WhiteDepartment of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA.
Matthew A CrockerDepartment of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA.
Brian N KimDepartment of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-5523-6091

Funding

National Science Foundation 2133225National Science Foundation 2143140United States Air Force Office of Scientific Research FA9550-21-1-0117
6 · The paper itself

Abstract

In the study of the brain, large and high-density microelectrode arrays have been widely used to study the behavior of neurotransmission. CMOS technology has facilitated these devices by enabling the integration of high-performance amplifiers directly on-chip. Usually, these large arrays measure only the voltage spikes resulting from action potentials traveling along firing neuronal cells. However, at synapses, communication between neurons occurs by the release of neurotransmitters, which cannot be measured on typical CMOS electrophysiology devices. Development of electrochemical amplifiers has resulted in the measurement of neurotransmitter exocytosis down to the level of a single vesicle. To effectively monitor the complete picture of neurotransmission, measurement of both action potentials and neurotransmitter activity is needed. Current efforts have not resulted in a device that is capable of the simultaneous measurement of action potential and neurotransmitter release at the same spatiotemporal resolution needed for a comprehensive study of neurotransmission. In this paper, we present a true dual-mode CMOS device that fully integrates 256-ch electrophysiology amplifiers and 256-ch electrochemical amplifiers, along with an on-chip 512 electrode microelectrode array capable of simultaneous measurement from all 512 channels.

Indexed as

NeuronsNeurotransmitter AgentsAction PotentialsElectrophysiological PhenomenaMicroelectrodesNeurotransmitter Agentsamperometrydual-mode amplifierelectrophysiologyfast-scan cyclic voltammetrymicroelectrode arrayneural interfaceneurochemical recordings

Identifiers

PMID37232863
PMCPMC10216521

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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.