Keyword search (4,163 papers available)

"Delaire É" Authored Publications:

Title Authors PubMed ID
1 How vigilance states influence source imaging of physiological brain oscillations: evidence from intracranial EEG Wei X; Afnan J; Avigdor T; von Ellenrieder N; Delaire É; Royer J; Ho A; Minato E; Schiller K; Jaber K; Wang YL; Moye M; Bernhardt BC; Lina JM; Grova C; Frauscher B; 41687693
SOH
2 Hemodynamic correlates of fluctuations in neuronal excitability: A simultaneous Paired Associative Stimulation (PAS) and functional near infra-red spectroscopy (fNIRS) study Cai Z; Pellegrino G; Spilkin A; Delaire E; Uji M; Abdallah C; Lina JM; Fecteau S; Grova C; 40567300
PERFORM
3 Spectral and network investigation reveals distinct power and connectivity patterns between phasic and tonic REM sleep Avigdor T; Peter-Derex L; Ho A; Schiller K; Wang Y; Abdallah C; Delaire E; Jaber K; Travnicek V; Grova C; Frauscher B; 40394955
SOH
4 NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design Delaire É; Vincent T; Cai Z; Machado A; Hugueville L; Schwartz D; Tadel F; Cassani R; Bherer L; Lina JM; Pélégrini-Issac M; Grova C; 40375973
SOH
5 EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy Afnan J; Cai Z; Lina JM; Abdallah C; Delaire E; Avigdor T; Ros V; Hedrich T; von Ellenrieder N; Kobayashi E; Frauscher B; Gotman J; Grova C; 38994740
SOH
6 Introduction to the shared near infrared spectroscopy format 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; 36507152
ENCS
7 Evaluation of a personalized functional near infra-red optical tomography workflow using maximum entropy on the mean Cai Z; Uji M; Aydin Ü; Pellegrino G; Spilkin A; Delaire É; Abdallah C; Lina JM; Grova C; 34342073
PERFORM

 

Title:Introduction to the shared near infrared spectroscopy format
Authors:Tucker SDubb JKura Svon Lühmann AFranke RHorschig JMPowell SOostenveld RLührs MDelaire ÉAghajan ZMYun HYücel MAFang QHuppert TJFrederick BBPollonini LBoas DLuke R
Link:https://pubmed.ncbi.nlm.nih.gov/36507152/
DOI:10.1117/1.NPh.10.1.013507
Publication:Neurophotonics
Keywords:data formatdata sharingfunctional near-infrared spectroscopyshared near-infrared spectroscopy formatsoftwarestandardization
PMID:36507152 Category: Date Added:2022-12-12
Dept Affiliation: ENCS
1 Boston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.
2 NIRx Medical Technologies, Berlin, Germany.
3 Artinis Medical Systems B.V., Elst, The Netherlands.
4 Gowerlabs, London, United Kingdom.
5 University of Nottingham, Nottingham, United Kingdom.
6 University College London, London, United Kingdom.
7 Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
8 Karolinska Institutet, NatMEG, Stockholm, Sweden.
9 Maastricht University, Maastricht, The Netherlands.
10 Brain Innovation B.V., Maastricht, The Netherlands.
11 Concordia University, Montreal, Quebec, Canada.
12 Kernel, Los Angeles, California, United States.
13 OBELAB, Seoul, Republic

Description:

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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