Javascript must be enabled to continue!
The fNIRS Glossary Project: A Consensus-based Resource for Functional Near-Infrared Spectroscopy Terminology
View through CrossRef
Significance A shared understanding of terminology is essential for clear scientific communication and minimizing misconceptions. This is particularly challenging in rapidly expanding, interdisciplinary domains that utilize functional near-infrared spectroscopy (fNIRS), where researchers come from diverse backgrounds and apply their expertise in fields such as engineering, neuroscience, and psychology. Aim The fNIRS Glossary Project was established to develop a community-sourced glossary covering key fNIRS terms, including those related to the continuous-wave (CW), frequency-domain (FD) and time-domain (TD) NIRS techniques. Approach The glossary was collaboratively developed by a diverse group of 76 fNIRS researchers, representing a wide range of career stages (from PhD students to experts) and disciplines. This collaborative process, structured across five phases, ensured the glossary's depth and comprehensiveness. Results The glossary features over 300 terms categorized in six key domains: analysis, experimental design, hardware, neuroscience, mathematics, and physics (https://openfnirs.org/standards/fnirs-glossary-project). It also includes abbreviations, symbols, synonyms, references, alternative definitions, and figures where relevant. Conclusions The fNIRS glossary provides a community-sourced resource that facilitates education and effective scientific communication within the fNIRS community and related fields. By lowering barriers to learning and engaging with fNIRS, the glossary is poised to benefit a broad spectrum of researchers, including those with limited access to educational resources.
Center for Open Science
Katharina Stute
Louisa K Gossé
Samuel Antonio Montero-Hernandez
Guy A Perkins
Meryem Ayşe Yücel
Simone Cutini
Turgut Durduran
Ann-Christine Ehl
Marco Ferrari
Judit Gervain
Rickson Coelho Mesquita
Felipe Orihuela-Espina
Valentina Quaresima
Felix Scholkmann
Ilias Tachtsidis
Alessandro Torricelli
Heidrun Wabnitz
Arjun G. Yodh
Stefan A. Carp
Hamid Dehghani
Qianqian Fang
Sergio Fantini
Yoko Hoshi
Haijing Niu
Hellmuth Obrig
Franziska Klein
Christina Artemenko
Aahana Bajracharya
Beatrix Barth
Christian Bartkowski
Lenaic Borot
Chiara Bulgarelli
David R. Busch
Małgorzata Chojak
Jason M. DeFreitas
Laura Diprossimo
Thomas Dresler
Aykut Eken
Mahmoud Medhat Elsherif
L.Lauren Emberson
Anna Exner
Talukdar Raian Ferdous
Abigail Fiske
Samuel H. Forbes
Jessica Gemignani
Christian Gerloff
Ségolène M. R. Guérin
Edgar Guevara
Antonia Hamilton
Hadi Hosseini
Divya Jain
Anastasia N. Kerr-German
Haiyan Kong
Agnes Kroczek
Jason K Longhurst
Michael Lührs
Rob J. MacLennan
David Marc Anton Mehler
Kimberly Lewis Meidenbauer
David Moreau
Murat C. Mutlu
Renato Orti
Ishara Paranawithana
Paola Pinti
Ali Rahimpour Jounghani
Vanessa Reindl
Nicholas A. Ross
Sara Sanchez-Alonso
Oliver Seidel-Marzi
Mohinish Shukla
Syed A. Usama
Musa Talati
Gregoire Vergotte
M. Atif Yaqub
Chia-Chuan Yu
Hanieh Zainodini
Title: The fNIRS Glossary Project: A Consensus-based Resource for Functional Near-Infrared Spectroscopy Terminology
Description:
Significance A shared understanding of terminology is essential for clear scientific communication and minimizing misconceptions.
This is particularly challenging in rapidly expanding, interdisciplinary domains that utilize functional near-infrared spectroscopy (fNIRS), where researchers come from diverse backgrounds and apply their expertise in fields such as engineering, neuroscience, and psychology.
Aim The fNIRS Glossary Project was established to develop a community-sourced glossary covering key fNIRS terms, including those related to the continuous-wave (CW), frequency-domain (FD) and time-domain (TD) NIRS techniques.
Approach The glossary was collaboratively developed by a diverse group of 76 fNIRS researchers, representing a wide range of career stages (from PhD students to experts) and disciplines.
This collaborative process, structured across five phases, ensured the glossary's depth and comprehensiveness.
Results The glossary features over 300 terms categorized in six key domains: analysis, experimental design, hardware, neuroscience, mathematics, and physics (https://openfnirs.
org/standards/fnirs-glossary-project).
It also includes abbreviations, symbols, synonyms, references, alternative definitions, and figures where relevant.
Conclusions The fNIRS glossary provides a community-sourced resource that facilitates education and effective scientific communication within the fNIRS community and related fields.
By lowering barriers to learning and engaging with fNIRS, the glossary is poised to benefit a broad spectrum of researchers, including those with limited access to educational resources.
Related Results
Hybrid Integrated Wearable Patch for Brain EEG-fNIRS Monitoring
Hybrid Integrated Wearable Patch for Brain EEG-fNIRS Monitoring
Synchronous monitoring electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) have received significant attention in brain science research for their provisio...
Functional Near Infrared Spectroscopy in the Investigation of Hemodynamic Changes during General Anesthesia
Functional Near Infrared Spectroscopy in the Investigation of Hemodynamic Changes during General Anesthesia
Anesthesiologists, physiologists and medical device professionals have long been working to design advanced depth of anesthesia monitoring systems in addition to routine physiologi...
SCIENTIFIC AND THEORETICAL FOUNDATIONS OF HUMAN-GEOGRAPHICAL TERMINOLOGY CREATION
SCIENTIFIC AND THEORETICAL FOUNDATIONS OF HUMAN-GEOGRAPHICAL TERMINOLOGY CREATION
The importance of human-geographical terminology-knowledge as area of theory of geographical science is emphasized in this artikle. Human-geographical terminology-knowledge highlig...
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
Abstract
Objective. In this paper, a novel methodology for feature extraction to enhance classification accuracy of functional near-infrared spect...
LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
Brain-computer interface (BCI) systems based on functional near-infrared spectroscopy (fNIRS) have been used as a way of facilitating communication between the brain and peripheral...
Lights on music cognition: a systematic and critical review of fNIRS applications and future perspectives
Lights on music cognition: a systematic and critical review of fNIRS applications and future perspectives
Research investigating the neural processes related to music perception and production constitutes a well-established field within the cognitive neurosciences. While most neuroimag...
WITHDRAWN: Functional network alterations in adult obstructive sleep apnea:A resting-state fNIRS study
WITHDRAWN: Functional network alterations in adult obstructive sleep apnea:A resting-state fNIRS study
AbstractStudy Objectives: To evaluate brain network connectivity characteristics and complex network topology properties in adult with obstructive sleep apnea (OSA) based on functi...
Evaluation of Cognitive Function Using Time-Domain Optical Neuroimaging
Evaluation of Cognitive Function Using Time-Domain Optical Neuroimaging
Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical neuroimaging technique that measures changes in the concentration of oxygenated and deoxygenated hemoglobin ...

