Evidence map›Paper›PMID 40902590›Full record

ArticleCell reports methods2025

A modular, adaptable, and accessible implant kit for chronic electrophysiological recordings in rats.

Raquel J Ibáñez Alcalá, Andrea Y Macias, Cory N Heaton, Ricardo Sosa Jurado, Alexis A Salcido, Neftali F Reyes, Serina A Batson, Luis D Davila, Dirk W Beck, Lara I Rakocevic and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Raquel J Ibáñez AlcaláDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Andrea Y MaciasDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Cory N HeatonDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Ricardo Sosa JuradoDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Alexis A SalcidoDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Neftali F ReyesDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Serina A BatsonDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Luis D DavilaComputational Science Program, University of Texas at El Paso, El Paso, TX, USA.
Dirk W BeckComputational Science Program, University of Texas at El Paso, El Paso, TX, USA.
Lara I RakocevicComputational Science Program, University of Texas at El Paso, El Paso, TX, USA.
Atanu GiriComputational Science Program, University of Texas at El Paso, El Paso, TX, USA.
Kenichiro NegishiNational Institute on Drug Abuse, Baltimore, MD, USA.
Sabrina M DrammisArtificial Intelligence Laboratory, Department of Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Ki A GoosensDepartments of Psychiatry and Pharmacological Sciences, Center for Translational Medicine and Pharmacology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: ki.goosens@mssm.edu.
Travis M MoschakDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA. Electronic address: tmmoschak@utep.edu.
Alexander FriedmanDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA; Computational Science Program, University of Texas at El Paso, El Paso, TX, USA. Electronic address: afriedman@utep.edu.

Funding

A2: Striosomal models of drug use and costR01DA058653 · NIDA · UNIVERSITY OF TEXAS EL PASO · PI Alexander Friedman, Travis M Moschak · 2024 to 2026
$1.7M
NIDA NIH HHS R01 DA058653
6 · The paper itself

Abstract

Electrophysiological implants enable exploration of the relationship between neuronal activity and behavior. These technologies evolve rapidly, with multiple iterations of recording systems developed and utilized. Chronic implants must address a litany of complications, including retention of high signal-to-noise ratio in probes and the ability to withstand excess force over the experimental period. To overcome these issues, we designed a chronic implant for rats. Our comprehensive protocol optimizes the entire implant process, from assembling and testing the probes (Neuropixels) to implantation. In addition to addressing the complications previously mentioned, our implant can vertically adjust probes with micron precision and is constructed using modular components, allowing it to be easily modified for various research contexts, electrophysiological recording systems, headstages, and probe types.

Indexed as

Electrodes, ImplantedElectrophysiological PhenomenaElectrophysiologyAnimalsMaleProstheses and ImplantsRatsRats, Sprague-Dawley3D printedadjustablechronic implantCP: neuroscienceelectricalelectrode arrayelectrophysiologykitmodularoptogeneticsprecisionstimulation

Identifiers

PMID40902590
PMCPMC12539253

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.