Introduction to the shared near infrared spectroscopy format

Stephen Tucker; Jay Dubb; Sreekanth Kura; Alexander von Lühmann; Robert Franke; Jörn M. Horschig; Samuel Powell; Robert Oostenveld; Michael Lührs; Édouard Delaire; Zahra M Aghajan; Hanseok Yun; Meryem A. Yücel; Qianqian Fang; Theodore J. Huppert; Blaise B. Frederick; Luca Pollonini; David Boas; Robert Luke

doi:10.1117/1.NPh.10.1.013507

Introduction to the shared near infrared spectroscopy format

Stephen Tucker, Jay Dubb, Sreekanth Kura, Alexander von Lühmann, Robert Franke, Jörn M. Horschig, Samuel Powell, Robert Oostenveld, Michael Lührs, Édouard Delaire, Zahra M Aghajan, Hanseok Yun, Meryem A. Yücel, Qianqian Fang, Theodore J. Huppert, Blaise B. Frederick, Luca Pollonini, David Boas^*, Robert Luke

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

SIGNIFICANCE: Functional near-infrared spectroscopy (fNIRS) is a popular neuroimaging technique with proliferating hardware platforms, analysis approaches, and software tools. There has not been a standardized file format for storing fNIRS data, which has hindered the sharing of data as well as the adoption and development of software tools.

AIM: We endeavored to design a file format to facilitate the analysis and sharing of fNIRS data that is flexible enough to meet the community's needs and sufficiently defined to be implemented consistently across various hardware and software platforms.

APPROACH: The shared NIRS format (SNIRF) specification was developed in consultation with the academic and commercial fNIRS community and the Society for functional Near Infrared Spectroscopy.

RESULTS: The SNIRF specification defines a format for fNIRS data acquired using continuous wave, frequency domain, time domain, and diffuse correlation spectroscopy devices.

CONCLUSIONS: We present the SNIRF along with validation software and example datasets. Support for reading and writing SNIRF data has been implemented by major hardware and software platforms, and the format has found widespread use in the fNIRS community.

Original language	English
Article number	013507
Number of pages	7
Journal	Neurophotonics
Volume	10
Issue number	1
DOIs	https://doi.org/10.1117/1.NPh.10.1.013507
Publication status	Published - Jan 2023

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Cite this

Tucker, S., Dubb, J., Kura, S., von Lühmann, A., Franke, R., Horschig, J. M., Powell, S., Oostenveld, R., Lührs, M., Delaire, É., Aghajan, Z. M., Yun, H., Yücel, M. A., Fang, Q., Huppert, T. J., Frederick, B. B., Pollonini, L., Boas, D., & Luke, R. (2023). Introduction to the shared near infrared spectroscopy format. Neurophotonics, 10(1), Article 013507. https://doi.org/10.1117/1.NPh.10.1.013507

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title = "Introduction to the shared near infrared spectroscopy format",

abstract = "SIGNIFICANCE: Functional near-infrared spectroscopy (fNIRS) is a popular neuroimaging technique with proliferating hardware platforms, analysis approaches, and software tools. There has not been a standardized file format for storing fNIRS data, which has hindered the sharing of data as well as the adoption and development of software tools.AIM: We endeavored to design a file format to facilitate the analysis and sharing of fNIRS data that is flexible enough to meet the community's needs and sufficiently defined to be implemented consistently across various hardware and software platforms.APPROACH: The shared NIRS format (SNIRF) specification was developed in consultation with the academic and commercial fNIRS community and the Society for functional Near Infrared Spectroscopy.RESULTS: The SNIRF specification defines a format for fNIRS data acquired using continuous wave, frequency domain, time domain, and diffuse correlation spectroscopy devices.CONCLUSIONS: We present the SNIRF along with validation software and example datasets. Support for reading and writing SNIRF data has been implemented by major hardware and software platforms, and the format has found widespread use in the fNIRS community.",

author = "Stephen Tucker and Jay Dubb and Sreekanth Kura and {von L{\"u}hmann}, Alexander and Robert Franke and Horschig, {J{\"o}rn M.} and Samuel Powell and Robert Oostenveld and Michael L{\"u}hrs and {\'E}douard Delaire and Aghajan, {Zahra M} and Hanseok Yun and Y{\"u}cel, {Meryem A.} and Qianqian Fang and Huppert, {Theodore J.} and Frederick, {Blaise B.} and Luca Pollonini and David Boas and Robert Luke",

note = "{\textcopyright} 2022 The Authors.",

year = "2023",

month = jan,

doi = "10.1117/1.NPh.10.1.013507",

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Tucker, S, Dubb, J, Kura, S, von Lühmann, A, Franke, R, Horschig, JM, Powell, S, Oostenveld, R, Lührs, M, Delaire, É, Aghajan, ZM, Yun, H, Yücel, MA, Fang, Q, Huppert, TJ, Frederick, BB, Pollonini, L, Boas, D & Luke, R 2023, 'Introduction to the shared near infrared spectroscopy format', Neurophotonics, vol. 10, no. 1, 013507. https://doi.org/10.1117/1.NPh.10.1.013507

TY - JOUR

T1 - Introduction to the shared near infrared spectroscopy format

AU - Tucker, Stephen

AU - Dubb, Jay

AU - Kura, Sreekanth

AU - von Lühmann, Alexander

AU - Franke, Robert

AU - Horschig, Jörn M.

AU - Powell, Samuel

AU - Oostenveld, Robert

AU - Lührs, Michael

AU - Delaire, Édouard

AU - Aghajan, Zahra M

AU - Yun, Hanseok

AU - Yücel, Meryem A.

AU - Fang, Qianqian

AU - Huppert, Theodore J.

AU - Frederick, Blaise B.

AU - Pollonini, Luca

AU - Boas, David

AU - Luke, Robert

PY - 2023/1

Y1 - 2023/1

N2 - SIGNIFICANCE: Functional near-infrared spectroscopy (fNIRS) is a popular neuroimaging technique with proliferating hardware platforms, analysis approaches, and software tools. There has not been a standardized file format for storing fNIRS data, which has hindered the sharing of data as well as the adoption and development of software tools.AIM: We endeavored to design a file format to facilitate the analysis and sharing of fNIRS data that is flexible enough to meet the community's needs and sufficiently defined to be implemented consistently across various hardware and software platforms.APPROACH: The shared NIRS format (SNIRF) specification was developed in consultation with the academic and commercial fNIRS community and the Society for functional Near Infrared Spectroscopy.RESULTS: The SNIRF specification defines a format for fNIRS data acquired using continuous wave, frequency domain, time domain, and diffuse correlation spectroscopy devices.CONCLUSIONS: We present the SNIRF along with validation software and example datasets. Support for reading and writing SNIRF data has been implemented by major hardware and software platforms, and the format has found widespread use in the fNIRS community.

AB - SIGNIFICANCE: Functional near-infrared spectroscopy (fNIRS) is a popular neuroimaging technique with proliferating hardware platforms, analysis approaches, and software tools. There has not been a standardized file format for storing fNIRS data, which has hindered the sharing of data as well as the adoption and development of software tools.AIM: We endeavored to design a file format to facilitate the analysis and sharing of fNIRS data that is flexible enough to meet the community's needs and sufficiently defined to be implemented consistently across various hardware and software platforms.APPROACH: The shared NIRS format (SNIRF) specification was developed in consultation with the academic and commercial fNIRS community and the Society for functional Near Infrared Spectroscopy.RESULTS: The SNIRF specification defines a format for fNIRS data acquired using continuous wave, frequency domain, time domain, and diffuse correlation spectroscopy devices.CONCLUSIONS: We present the SNIRF along with validation software and example datasets. Support for reading and writing SNIRF data has been implemented by major hardware and software platforms, and the format has found widespread use in the fNIRS community.

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DO - 10.1117/1.NPh.10.1.013507

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JO - Neurophotonics

JF - Neurophotonics

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