Literature DB >> 26808620

Proposal for a Standard Format for Neurophysiology Data Recording and Exchange.

Matt Stead1, Jonathan J Halford.   

Abstract

The lack of interoperability between information networks is a significant source of cost in health care. Standardized data formats decrease health care cost, improve quality of care, and facilitate biomedical research. There is no common standard digital format for storing clinical neurophysiologic data. This review proposes a new standard file format for neurophysiology data (the bulk of which is video-electroencephalographic data), entitled the Multiscale Electrophysiology Format, version 3 (MEF3), which is designed to address many of the shortcomings of existing formats. MEF3 provides functionality that addresses many of the limitations of current formats. The proposed improvements include (1) hierarchical file structure with improved organization; (2) greater extensibility for big data applications requiring a large number of channels, signal types, and parallel processing; (3) efficient and flexible lossy or lossless data compression; (4) industry standard multilayered data encryption and time obfuscation that permits sharing of human data without the need for deidentification procedures; (5) resistance to file corruption; (6) facilitation of online and offline review and analysis; and (7) provision of full open source documentation. At this time, there is no other neurophysiology format that supports all of these features. MEF3 is currently gaining industry and academic community support. The authors propose the use of the MEF3 as a standard format for neurophysiology recording and data exchange. Collaboration between industry, professional organizations, research communities, and independent standards organizations is needed to move the project forward.

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Year:  2016        PMID: 26808620      PMCID: PMC4956586          DOI: 10.1097/WNP.0000000000000257

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  11 in total

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Journal:  IEEE Trans Inf Technol Biomed       Date:  2011-11-22

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Journal:  Int J Med Inform       Date:  1998-02       Impact factor: 4.046

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Authors:  Rebecca Kush; Michel Goldman
Journal:  N Engl J Med       Date:  2014-06-05       Impact factor: 91.245

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Authors:  Jonathan J Halford; William B Pressly; Selim R Benbadis; William O Tatum; Robert P Turner; Amir Arain; Paul B Pritchard; Jonathan C Edwards; Brian C Dean
Journal:  J Clin Neurophysiol       Date:  2011-04       Impact factor: 2.177

9.  Multiscale electrophysiology format: an open-source electrophysiology format using data compression, encryption, and cyclic redundancy check.

Authors:  Benjamin H Brinkmann; Mark R Bower; Keith A Stengel; Gregory A Worrell; Matt Stead
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10.  Large-scale electrophysiology: acquisition, compression, encryption, and storage of big data.

Authors:  Benjamin H Brinkmann; Mark R Bower; Keith A Stengel; Gregory A Worrell; Matt Stead
Journal:  J Neurosci Methods       Date:  2009-04-01       Impact factor: 2.390

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  5 in total

1.  Recommendations for the Design and Analysis of In Vivo Electrophysiology Studies.

Authors: 
Journal:  J Neurosci       Date:  2018-06-27       Impact factor: 6.167

Review 2.  Standards for data acquisition and software-based analysis of in vivo electroencephalography recordings from animals. A TASK1-WG5 report of the AES/ILAE Translational Task Force of the ILAE.

Authors:  Jason T Moyer; Vadym Gnatkovsky; Tomonori Ono; Jakub Otáhal; Joost Wagenaar; William C Stacey; Jeffrey Noebels; Akio Ikeda; Kevin Staley; Marco de Curtis; Brian Litt; Aristea S Galanopoulou
Journal:  Epilepsia       Date:  2017-11       Impact factor: 5.864

3.  Intracranial electrophysiological recordings from the human brain during memory tasks with pupillometry.

Authors:  Jan Cimbalnik; Jaromir Dolezal; Çağdaş Topçu; Michal Lech; Victoria S Marks; Boney Joseph; Martin Dobias; Jamie Van Gompel; Gregory Worrell; Michal Kucewicz
Journal:  Sci Data       Date:  2022-01-13       Impact factor: 6.444

4.  FindSim: A Framework for Integrating Neuronal Data and Signaling Models.

Authors:  Nisha A Viswan; Gubbi Vani HarshaRani; Melanie I Stefan; Upinder S Bhalla
Journal:  Front Neuroinform       Date:  2018-06-26       Impact factor: 4.081

5.  Integrated open-source software for multiscale electrophysiology.

Authors:  Konstantinos Nasiotis; Martin Cousineau; François Tadel; Adrien Peyrache; Richard M Leahy; Christopher C Pack; Sylvain Baillet
Journal:  Sci Data       Date:  2019-10-25       Impact factor: 6.444

  5 in total

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