Evidence map›Paper›PMID 28266930›Full record

ArticleJournal of neural engineering2017

Open Ephys electroencephalography (Open Ephys  +  EEG): a modular, low-cost, open-source solution to human neural recording.

Christopher Black, Jakob Voigts, Uday Agrawal, Max Ladow, Juan Santoyo, Christopher Moore, Stephanie Jones

Abstract read
In one paragraph

Article in Journal of neural engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  11. Integrated Development Environment for EEG-Driven Cognitive-Neuropsychological Research.IEEE journal of translational engineering in health and medicine · 2020
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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

7 authors.

Christopher BlackCenter for Biomedical Engineering, Brown University, Providence, RI, United States of America.
Jakob VoigtsDepartment of Neuroscience, Brown University, Providence, RI, United States of America.
Uday AgrawalDepartment of Neuroscience, Brown University, Providence, RI, United States of America.
Max LadowDepartment of Neuroscience, Brown University, Providence, RI, United States of America.
Juan SantoyoDepartment of Neuroscience, Brown University, Providence, RI, United States of America.
Christopher MooreDepartment of Neuroscience, Brown University, Providence, RI, United States of America.
Stephanie JonesDepartment of Neuroscience, Brown University, Providence, RI, United States of America.

Funding

CRCNS: Advancing Computational Methods to Reveal Human Thalamocortical DynamicsR01MH106174 · NIMH · BROWN UNIVERSITY · PI HAMALAINEN, MATTI, JONES, STEPHANIE RUGGIANO · 2014 to 2018
$1.5M
NIMH NIH HHS R01 MH106174
6 · The paper itself

Abstract

objectiveElectroencephalography (EEG) offers a unique opportunity to study human neural activity non-invasively with millisecond resolution using minimal equipment in or outside of a lab setting. EEG can be combined with a number of techniques for closed-loop experiments, where external devices are driven by specific neural signals. However, reliable, commercially available EEG systems are expensive, often making them impractical for individual use and research development. Moreover, by design, a majority of these systems cannot be easily altered to the specification needed by the end user. We focused on mitigating these issues by implementing open-source tools to develop a new EEG platform to drive down research costs and promote collaboration and innovation. APPROACH: Here, we present methods to expand the open-source electrophysiology system, Open Ephys (www.openephys.org), to include human EEG recordings. We describe the equipment and protocol necessary to interface various EEG caps with the Open Ephys acquisition board, and detail methods for processing data. We present applications of Open Ephys  +  EEG as a research tool and discuss how this innovative EEG technology lays a framework for improved closed-loop paradigms and novel brain-computer interface experiments. MAIN

resultsThe Open Ephys  +  EEG system can record reliable human EEG data, as well as human EMG data. A side-by-side comparison of eyes closed 8-14 Hz activity between the Open Ephys  +  EEG system and the Brainvision ActiCHamp EEG system showed similar average power and signal to noise. SIGNIFICANCE: Open Ephys  +  EEG enables users to acquire high-quality human EEG data comparable to that of commercially available systems, while maintaining the price point and extensibility inherent to open-source systems.

Indexed as

Amplifiers, ElectronicSoftwareAlgorithmsAnalog-Digital ConversionBrainDiagnosis, Computer-AssistedElectroencephalographyEquipment DesignEquipment Failure AnalysisHead Protective DevicesHumansReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedUser-Computer Interface

Identifiers

PMID28266930
PMCPMC7249234

What OpenQuestion holds

Textmetadata
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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.