Evidence map›Paper›PMID 30814923›Full record

ArticleFrontiers in neuroscience2018

BCI2000Web and WebFM: Browser-Based Tools for Brain Computer Interfaces and Functional Brain Mapping.

Griffin Milsap, Max Collard, Christopher Coogan, Nathan E Crone

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Potential for a Speech Brain-Computer Interface Using Chronic Electrocorticography.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2019
    Review
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.

Griffin MilsapDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.
Max CollardDepartment of Neurology, Johns Hopkins Universit, Baltimore, MD, United States.
Christopher CooganDepartment of Neurology, Johns Hopkins Universit, Baltimore, MD, United States.
Nathan E CroneDepartment of Neurology, Johns Hopkins Universit, Baltimore, MD, United States.

Funding

Multi-scale network dynamics of human upper limb movements: characterization and translation to neuroprostheticsR01NS088606 · NINDS · JOHNS HOPKINS UNIVERSITY · PI CRONE, NATHAN E, THAKOR, NITISH VYOMESH · 2014 to 2018
$1.8M
Temporal-spatial mapping of cortical networks important for human cognitionR01NS091139 · NINDS · JOHNS HOPKINS UNIVERSITY · PI CRONE, NATHAN E · 2015 to 2019
$1.8M
NINDS NIH HHS R01 NS088606NINDS NIH HHS R01 NS091139
6 · The paper itself

Abstract

BCI2000 has been a popular platform for development of real-time brain computer interfaces (BCIs). Since BCI2000's initial release, web browsers have evolved considerably, enabling rapid development of internet-enabled applications and interactive visualizations. Linking the amplifier abstraction and signal processing native to BCI2000 with the host of technologies and ease of development afforded by modern web browsers could enable a new generation of browser-based BCIs and visualizations. We developed a server and filter module called BCI2000Web providing an HTTP connection capable of escalation into an RFC6455 WebSocket, which enables direct communication between a browser and a BCI2000 distribution in real-time, facilitating a number of novel applications. We also present a JavaScript module, bci2k.js, that allows web developers to create paradigms and visualizations using this interface in an easy-to-use and intuitive manner. To illustrate the utility of BCI2000Web, we demonstrate a browser-based implementation of a real-time electrocorticographic (ECoG) functional mapping suite called WebFM. We also explore how the unique characteristics of our browser-based framework make BCI2000Web an attractive tool for future BCI applications. BCI2000Web leverages the advances of BCI2000 to provide real-time browser-based interactions with human neurophysiological recordings, allowing for web-based BCIs and other applications, including real-time functional brain mapping. Both BCI2000 and WebFM are provided under open source licenses. Enabling a powerful BCI suite to communicate with today's most technologically progressive software empowers a new cohort of developers to engage with BCI technology, and could serve as a platform for internet-enabled BCIs.

Indexed as

brain computer interface (BCI)electrocorticogram (ECoG)functional brain mappingvisualizationweb browser

Identifiers

PMID30814923
PMCPMC6381053

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.