Evidence map›Paper›PMID 22081157›Full record

ArticleNature neuroscience2011

Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo.

Jonathan Viventi, Dae-Hyeong Kim, Leif Vigeland, Eric S Frechette, Justin A Blanco, Yun-Soung Kim, Andrew E Avrin, Vineet R Tiruvadi, Suk-Won Hwang, Ann C Vanleer and 11 more

Open access · greenAbstract read
In one paragraph

Article in Nature neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 351 papers.

0numbers the graph read from it
0cells of the map it votes in
351citing papers in PubMed
22.4field-weighted citation impact, top 1% of its field
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

351 citing papers in PubMed, 1,118 citations in OpenAlex.

  1. Trial
  2. Review
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  4. Article
  5. Article
  6. Review
  7. Review
  8. A Thin Film Transistor Backplane for Scalable Chronic Neural Interfaces.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. A soft electrode array with reconfigurable hydrogel interfaces for high-fidelity neurophysiological monitoring during craniotomy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  18. Article
  19. Article
  20. Review

291 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

21 authors at 9 institutions in 3 countries.

Jonathan ViventiDepartment of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, New York, USA.
Dae-Hyeong Kim
Leif Vigeland
Eric S Frechette
Justin A Blanco
Yun-Soung Kim
Andrew E Avrin
Vineet R Tiruvadi
Suk-Won Hwang
Ann C Vanleer
Drausin F Wulsin
Kathryn Davis
Casey E Gelber
Larry Palmer
Jan Van der Spiegel
Jian Wu
Jianliang Xiao
Yonggang Huang
Diego Contreras
John A Rogers
Brian Litt
University of Pennsylvania · USUniversity of Illinois Urbana-Champaign · USHospital of the University of Pennsylvania · USNew York University · USNorthwestern University · USSeoul National University · KRTsinghua University · CNUnited States Naval Academy · USUniversity of Colorado Boulder · US

Funding

An Implantable Device to predict and Prevent SeizuresR01NS041811 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DICHTER, MARC A · 2001 to 2011
$13.0M
Multidisciplinary Training in Cardiovascular BiologyT32HL007954 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI DAVIES, PETER FRANCIS · 2000 to 2019
$9.9M
RESEARCH ON NORMAL AND ABNORMAL MECHANISMS OF VISIONST32EY007035 · NEI · UNIVERSITY OF PENNSYLVANIA · PI Diego Contreras, Jessica I.W. Morgan · 1985 to 2026
$4.9M
Synaptic Organization of Simple Cell Receptive FieldsR01EY020765 · NEI · UNIVERSITY OF PENNSYLVANIA · PI CONTRERAS, DIEGO · 2011 to 2016
$2.2M
Evolution of seizure precursors in refactory epilepsyR01NS048598 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI LITT, BRIAN · 2005 to 2008
$2.2M
Neuralynx for Translational ResearchS10RR031724 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI LITT, BRIAN · 2011 to 2011
$225k
NCRR NIH HHS S10 RR031724NEI NIH HHS R01 EY020765NEI NIH HHS T32 EY007035NHLBI NIH HHS 2T32HL007954NHLBI NIH HHS T32 HL007954NINDS NIH HHS R01 NS041811NINDS NIH HHS R01-NS041811NINDS NIH HHS R01 NS048598NINDS NIH HHS R01-NS48598
6 · The paper itself

Abstract

Arrays of electrodes for recording and stimulating the brain are used throughout clinical medicine and basic neuroscience research, yet are unable to sample large areas of the brain while maintaining high spatial resolution because of the need to individually wire each passive sensor at the electrode-tissue interface. To overcome this constraint, we developed new devices that integrate ultrathin and flexible silicon nanomembrane transistors into the electrode array, enabling new dense arrays of thousands of amplified and multiplexed sensors that are connected using fewer wires. We used this system to record spatial properties of cat brain activity in vivo, including sleep spindles, single-trial visual evoked responses and electrographic seizures. We found that seizures may manifest as recurrent spiral waves that propagate in the neocortex. The developments reported here herald a new generation of diagnostic and therapeutic brain-machine interface devices.

Indexed as

Brain MappingElectrodes, ImplantedAnimalsBrain WavesCatsElectric StimulationElectroencephalographyElectronicsEvoked Potentials, VisualMicroelectrodesNumerical Analysis, Computer-AssistedPhotic StimulationSeizuresVisual Cortex

Identifiers

PMID22081157
PMCPMC3235709
OpenAlexW2105425384

What OpenQuestion holds

Textmetadata
LicenceTDM
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.