Evidence map›Paper›PMID 32353330›Full record

ArticleTrends in neurosciences2020

Spikes to Pixels: Camera Chips for Large-scale Electrophysiology.

Roy Lycke, Liuyang Sun, Lan Luan, Chong Xie

Abstract readComment
PubMed Publisher
In one paragraph

Article in Trends in neurosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Roy LyckeDepartment of Biomedical Engineering, University of Texas, Austin, TX, USA; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Liuyang SunDepartment of Biomedical Engineering, University of Texas, Austin, TX, USA; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Lan LuanDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA; Department of Bioengineering, Rice University, Houston, TX, USA; Neuorengineering Initiative, Rice University, Houston, TX, USA.
Chong XieDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA; Department of Bioengineering, Rice University, Houston, TX, USA; Neuorengineering Initiative, Rice University, Houston, TX, USA. Electronic address: chong.xie@rice.edu.

Funding

A Nanoelectronic Strategy for Reliable, Large-scale Chronic Neural RecordingR01NS102917 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI Chong Xie · 2017 to 2026
$3.5M
Nanoelectronic enabled chronic quantification of neurovascular couplingK25HL140153 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI LUAN, LAN · 2018 to 2022
$890k
Medical Research Council MC_UP_1202/5NHLBI NIH HHS K25 HL140153NINDS NIH HHS R01 NS102917
6 · The paper itself

Abstract

Implanted neural probes are among the most important techniques in both fundamental and clinical neuroscience. Despite great successes and promise, neural electrodes are technically limited by their scalability. A recent study by Obaid et al. demonstrated an innovative way to greatly scale up the channel count and density of neural electrode arrays.

Indexed as

Electrophysiological PhenomenaNeurosciencesElectrodesElectrophysiologyHumansCMOS arrayelectrophysiological recordingsneural probe

Identifiers

PMID32353330

What OpenQuestion holds

Textmetadata
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.