Evidence map›Paper›PMID 25542351›Full record

ArticleJournal of neuroscience methods2015

Comprehensive chronic laminar single-unit, multi-unit, and local field potential recording performance with planar single shank electrode arrays.

Takashi D Y Kozai, Zhanhong Du, Zhannetta V Gugel, Matthew A Smith, Steven M Chase, Lance M Bodily, Ellen M Caparosa, Robert M Friedlander, X Tracy Cui

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing 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

90 citing papers in PubMed.

  1. Chronic alteration of CaBiomaterials · 2026
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  4. Chronic alteration of CabioRxiv : the preprint server for biology · 2025
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  15. In vivo microelectrode arrays for neuroscience.Nature reviews. Methods primers · 2025
    Article
  16. Article
  17. Applications of 2D Nanomaterials in Neural Interface.International journal of molecular sciences · 2024
    Review
  18. Article
  19. Article
  20. Article

30 more citing papers are in PubMed but not listed here.

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

9 authors.

Takashi D Y KozaiBioengineering, University of Pittsburgh, United States; Center for the Neural Basis of Cognition, United States; McGowan Institute for Regenerative Medicine, University of Pittsburgh, United States. Electronic address: tdk18@pitt.edu.
Zhanhong DuBioengineering, University of Pittsburgh, United States; Center for the Neural Basis of Cognition, United States; McGowan Institute for Regenerative Medicine, University of Pittsburgh, United States.
Zhannetta V GugelBioengineering, University of Pittsburgh, United States; Division of Biology and Biological Engineering, California Institute of Technology, United States.
Matthew A SmithBioengineering, University of Pittsburgh, United States; Center for the Neural Basis of Cognition, United States; McGowan Institute for Regenerative Medicine, University of Pittsburgh, United States; Ophthalmology, University of Pittsburgh, United States.
Steven M ChaseCenter for the Neural Basis of Cognition, United States; Biomedical Engineering, Carnegie Mellon University, United States.
Lance M BodilyNeurological Surgery, University of Pittsburgh, United States.
Ellen M CaparosaNeurological Surgery, University of Pittsburgh, United States.
Robert M FriedlanderNeurological Surgery, University of Pittsburgh, United States.
X Tracy CuiBioengineering, University of Pittsburgh, United States; Center for the Neural Basis of Cognition, United States; McGowan Institute for Regenerative Medicine, University of Pittsburgh, United States.

Funding

MODULATION OF CASPASE PATHWAYS IN HUNTINGTON'S DISEASER01NS039324 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FRIEDLANDER, ROBERT M. · 2000 to 2014
$5.5M
Improving chronic neural recording performance through biomaterial strategiesR01NS062019 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CUI, XINYAN TRACY · 2008 to 2018
$4.4M
Slow time scale fluctuations in neurons and behaviorR01MH128393 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI MATTHEW A SMITH · 2022 to 2026
$2.2M
Dynamic Mechanisms of active vision in prefrontal cortexR01EY022928 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMITH, MATTHEW A · 2014 to 2018
$1.9M
Functional Role of Micro RNAs in Huntington's Disease PathogenesisR01NS077748 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FRIEDLANDER, ROBERT M. · 2012 to 2015
$1.6M
CRCNS: Interhemispheric coordination for memory and actionR01NS147766 · NINDS · CARNEGIE-MELLON UNIVERSITY · PI Joseph Patrick Mayo, MATTHEW A SMITH · 2025 to 2026
$750k
NEI NIH HHS R01 EY022928NIMH NIH HHS R01 MH128393NINDS NIH HHS 5R01NS039324-15NINDS NIH HHS 5R01NS062019-03NINDS NIH HHS 5R01NS07748-04NINDS NIH HHS R01 NS039324NINDS NIH HHS R01 NS062019NINDS NIH HHS R01 NS077748NINDS NIH HHS R01 NS147766
6 · The paper itself

Abstract

backgroundIntracortical electrode arrays that can record extracellular action potentials from small, targeted groups of neurons are critical for basic neuroscience research and emerging clinical applications. In general, these electrode devices suffer from reliability and variability issues, which have led to comparative studies of existing and emerging electrode designs to optimize performance. Comparisons of different chronic recording devices have been limited to single-unit (SU) activity and employed a bulk averaging approach treating brain architecture as homogeneous with respect to electrode distribution. NEW

methodIn this study, we optimize the methods and parameters to quantify evoked multi-unit (MU) and local field potential (LFP) recordings in eight mice visual cortices.

resultsThese findings quantify the large recording differences stemming from anatomical differences in depth and the layer dependent relative changes to SU and MU recording performance over 6-months. For example, performance metrics in Layer V and stratum pyramidale were initially higher than Layer II/III, but decrease more rapidly. On the other hand, Layer II/III maintained recording metrics longer. In addition, chronic changes at the level of layer IV are evaluated using visually evoked current source density. COMPARISON WITH EXISTING METHOD(S): The use of MU and LFP activity for evaluation and tracking biological depth provides a more comprehensive characterization of the electrophysiological performance landscape of microelectrodes.

conclusionsA more extensive spatial and temporal insight into the chronic electrophysiological performance over time will help uncover the biological and mechanical failure mechanisms of the neural electrodes and direct future research toward the elucidation of design optimization for specific applications.

Indexed as

Electrodes, ImplantedAnimalsDielectric SpectroscopyElectric ImpedanceEvoked PotentialsImmunohistochemistryMice, Inbred C57BLMicroelectrodesNeuronsPhotic StimulationRestSignal Processing, Computer-AssistedTime FactorsVisual CortexVisual PerceptionElectrochemical impedance spectroscopyElectrophysiologyFiring rateGamma oscillationsMicroelectrode arraysPower density spectraSignal-to-noiseVisual cortexVisual evoked activity

Identifiers

PMID25542351
PMCPMC4432916

What OpenQuestion holds

Textmetadata
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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.