TY - JOUR
T1 - Interdisciplinary views of fNIRS
T2 - Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community
AU - Doherty, Emily J.
AU - Spencer, Cara A.
AU - Burnison, Jeremy
AU - Čeko, Marta
AU - Chin, Jenna
AU - Eloy, Lucca
AU - Haring, Kerstin
AU - Kim, Pilyoung
AU - Pittman, Daniel
AU - Powers, Shannon
AU - Pugh, Samuel L.
AU - Roumis, Demetris
AU - Stephens, Jaclyn A.
AU - Yeh, Tom
AU - Hirshfield, Leanne
N1 - Funding Information:
This research was supported by the NSF National AI Institute for Student-AI Teaming (iSAT) under grant DRL 2019805. The opinions expressed are those of the authors and do not represent views of the NSF.
Funding Information:
This research was supported by the NSF National AI Institute for Student-AI Teaming (iSAT) under grant DRL 2019805. The opinions expressed are those of the authors and do not represent views of the NSF.
Publisher Copyright:
Copyright © 2023 Doherty, Spencer, Burnison, Čeko, Chin, Eloy, Haring, Kim, Pittman, Powers, Pugh, Roumis, Stephens, Yeh and Hirshfield.
PY - 2023
Y1 - 2023
N2 - Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising neuroimaging modality for studying brain activity in real-world environments. While fNIRS has seen rapid advancements in hardware, software, and research applications since its emergence nearly 30 years ago, limitations still exist regarding all three areas, where existing practices contribute to greater bias within the neuroscience research community. We spotlight fNIRS through the lens of different end-application users, including the unique perspective of a fNIRS manufacturer, and report the challenges of using this technology across several research disciplines and populations. Through the review of different research domains where fNIRS is utilized, we identify and address the presence of bias, specifically due to the restraints of current fNIRS technology, limited diversity among sample populations, and the societal prejudice that infiltrates today's research. Finally, we provide resources for minimizing bias in neuroscience research and an application agenda for the future use of fNIRS that is equitable, diverse, and inclusive.
AB - Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising neuroimaging modality for studying brain activity in real-world environments. While fNIRS has seen rapid advancements in hardware, software, and research applications since its emergence nearly 30 years ago, limitations still exist regarding all three areas, where existing practices contribute to greater bias within the neuroscience research community. We spotlight fNIRS through the lens of different end-application users, including the unique perspective of a fNIRS manufacturer, and report the challenges of using this technology across several research disciplines and populations. Through the review of different research domains where fNIRS is utilized, we identify and address the presence of bias, specifically due to the restraints of current fNIRS technology, limited diversity among sample populations, and the societal prejudice that infiltrates today's research. Finally, we provide resources for minimizing bias in neuroscience research and an application agenda for the future use of fNIRS that is equitable, diverse, and inclusive.
KW - bias
KW - collaboration
KW - diversity
KW - fNIRS
KW - human-computer interaction
UR - http://www.scopus.com/inward/record.url?scp=85150014626&partnerID=8YFLogxK
U2 - 10.3389/fnint.2023.1059679
DO - 10.3389/fnint.2023.1059679
M3 - Review article
AN - SCOPUS:85150014626
SN - 1662-5145
VL - 17
JO - Frontiers in Integrative Neuroscience
JF - Frontiers in Integrative Neuroscience
M1 - 1059679
ER -