Optical imaging and spectroscopy for the study of the human brain: status report: status report

Hasan Ayaz; Wesley B. Baker; Giles Blaney; David A. Boas; Heather Bortfeld; Kenneth Brady; Joshua Brake; Sabrina Brigadoi; Erin M. Buckley; Stefan A. Carp; Robert J. Cooper; Kyle R. Cowdrick; Joseph P. Culver; Ippeita Dan; Hamid Dehghani; Anna Devor; Turgut Durduran; Adam T. Eggebrecht; Lauren L. Emberson; Qianqian Fang; Sergio Fantini; Maria Angela Franceschini; Jonas B. Fischer; Judit Gervain; Joy Hirsch; Keum Shik Hong; Roarke Horstmeyer; Jana M. Kainerstorfer; Tiffany S. Ko; Daniel J. Licht; Adam Liebert; Robert Luke; Jennifer M. Lynch; Jaume Mesquida; Rickson C. Mesquita; Noman Naseer; Sergio L. Novi; Felipe Orihuela-Espina; Thomas D. O'Sullivan; Darcy S. Peterka; Antonio Pifferi; Luca Pollonini; Angelo Sassaroli; João Ricardo Sato; Felix Scholkmann; Lorenzo Spinelli; Vivek J. Srinivasan; Keith St. Lawrence; Ilias Tachtsidis; Yunjie Tong; Alessandro Torricelli; Tara Urner; Heidrun Wabnitz; Martin Wolf; Ursula  Wolf; Shiqi Xu; Changhuei Yang; Arjun G. Yodh; Meryem A. Yücel; Wenjun Zhou

doi:10.1117/1.NPh.9.S2.S24001

Optical imaging and spectroscopy for the study of the human brain: status report: status report

Hasan Ayaz, Wesley B. Baker, Giles Blaney, David A. Boas, Heather Bortfeld, Kenneth Brady, Joshua Brake, Sabrina Brigadoi, Erin M. Buckley^*, Stefan A. Carp, Robert J. Cooper, Kyle R. Cowdrick, Joseph P. Culver, Ippeita Dan, Hamid Dehghani, Anna Devor, Turgut Durduran, Adam T. Eggebrecht, Lauren L. Emberson, Qianqian FangSergio Fantini, Maria Angela Franceschini, Jonas B. Fischer, Judit Gervain, Joy Hirsch, Keum Shik Hong, Roarke Horstmeyer, Jana M. Kainerstorfer, Tiffany S. Ko, Daniel J. Licht, Adam Liebert, Robert Luke, Jennifer M. Lynch, Jaume Mesquida, Rickson C. Mesquita, Noman Naseer, Sergio L. Novi, Felipe Orihuela-Espina, Thomas D. O'Sullivan, Darcy S. Peterka, Antonio Pifferi, Luca Pollonini, Angelo Sassaroli, João Ricardo Sato, Felix Scholkmann, Lorenzo Spinelli, Vivek J. Srinivasan, Keith St. Lawrence, Ilias Tachtsidis, Yunjie Tong, Alessandro Torricelli, Tara Urner, Heidrun Wabnitz, Martin Wolf, Ursula Wolf, Shiqi Xu, Changhuei Yang, Arjun G. Yodh, Meryem A. Yücel, Wenjun Zhou

^*Corresponding author for this work

Computer Science

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

31 Downloads (Pure)

Abstract

This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit of novel methods to explore brain health and function. While the first report focused on neurophotonic tools mostly applicable to animal studies, here, we highlight optical spectroscopy and imaging methods relevant to noninvasive human brain studies. We outline current state-of-the-art technologies and software advances, explore the most recent impact of these technologies on neuroscience and clinical applications, identify the areas where innovation is needed, and provide an outlook for the future directions.

Original language	English
Article number	S24001
Number of pages	65
Journal	Neurophotonics
Volume	9
Issue number	S2
DOIs	https://doi.org/10.1117/1.NPh.9.S2.S24001
Publication status	Published - 30 Aug 2022

Bibliographical note

Funding Information:
This report was edited by Erin Buckley and Rickson Mesquita. Cover design by Tara Urner. H.A. is supported by the United States Air Force Office of Scientific Research (FA9550-18-1-0455), United States Army, the National Institutes of Health (NIH), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (1R21HD100997-01), NIH National Institute on Drug Abuse (NIDA) (1UG3DA050325-01), NIH National Institute of Nursing Research (NINR) (1R01NR018425-01A1), the National Science Foundation (NSF) (OAC1919691), and the Pennsylvania Dept. of Health (SAP4100083087). H.B. is supported by the NIH NIDCD (1R01DC018701) and the Carlston Cunningham Family endowment to the University of California, Merced. W.B.B. is supported by the NIH, grant R01-NS113945. S.B. is supported by grant GR-2019-12368539 from the Italian Ministry of Health. E.M.B is supported by NIH grants R01HL152322 and R01NS115994, as well as industry-sponsored support from Global Blood Therapeutics. S.A.C. is supported by NIH grants R01NS100750 and R21NS116571. R.J.C. is supported by EPSRC Fellowship EP/N025946/1. T.D. and J.B.F. are supported by Agencia Estatal de Investigación (PHOTOMETABO, PID2019106481RBC31/10.13039/501100011033) and Fundació La Marató de TV3 (201724.31, 201709.31). A.T.E. is supported by NIH National Institute of Mental Health (NIMH) “BRAINS” R01MH122751. L.L.E. is supported by the James S. McDonnell Foundation (grant 2017/AWD1005451), the Bill and Melinda Gates Foundation (grant 2020/INV-005792), and the Canadian Foundation for Innovation (grant 2021/41724). Q.F. is supported by NIH grants R01-GM114365, U24-NS124027, and R01-EB026998. S.F. is supported by NIH grants R01-NS095334 and R01-EB029414. J.G. is supported by the ERC Consolidator Grant 773202 “BabyRhythm.” K.S.H. is supported by the National Research Foundation of Korea under the Ministry of Science and ICT, Korea (2020R1A2B5B03096000). J.H. is supported by NIH grants R01MH111629, R01MH119430, and R01MH107513. J.M.K. acknowledges the financial support from the Center for Machine Learning and Health (CMLH), the American Heart Association (AHA) 17SDG33700047, and the NIH R21-EB024675. K.St.L. acknowledges the financial support of the Canadian Institutes of Health Research (CGP-130391 and 14171) and National Science and Engineering Research Council (CHRP 478470). R.C.M. is supported by the São Paulo Research Foundation (FAPESP 2013/07559-3) and the National Council for Scientific and Technological Development (CNPq Proc. 311768/2019-9). N.N. is supported by the Higher Education Commission of Pakistan through the National Centre of Robotics and Automation (NCRA) grant number NCRA-RF-027. S.L.N. is supported by São Paulo Research Foundation grants 2016/22990-0 and 2019/21962-1. T.D.O. acknowledges support from the NIH (R01EB029595). D.S.P. is supported by NIH grants U19NS104649 and U01NS113273. L.P. is supported by NSF awards CNS1650536 and TIP1919269. J.R.S. is supported by the São Paulo Research Foundation (FAPESP) through grants 2018/21934-5, 2018/04654-9, and 2021/05332-8. V.J.S. is supported by the NIH (EB029747, EY031469, NS094681, EB032840). I.T. acknowledges funding by MRC UK MR/S003134/1. A.G.Y. acknowledges support from the NIH through P41EB015893. W.Z. acknowledges support from the National Natural Science Foundation of China (62105315).

Publisher Copyright:
© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Keywords

DCS
diffuse optics
functional neuroscience
NIRS
optical imaging
optical spectroscopy

ASJC Scopus subject areas

Neuroscience (miscellaneous)
Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1117/1.NPh.9.S2.S24001Licence: Creative Commons: Attribution (CC BY)

AyazH2022OpticalFinal published version, 4.41 MBLicence: Creative Commons: Attribution (CC BY)

Cite this

Ayaz, H., Baker, W. B., Blaney, G., Boas, D. A., Bortfeld, H., Brady, K., Brake, J., Brigadoi, S., Buckley, E. M., Carp, S. A., Cooper, R. J., Cowdrick, K. R., Culver, J. P., Dan, I., Dehghani, H., Devor, A., Durduran, T., Eggebrecht, A. T., Emberson, L. L., ... Zhou, W. (2022). Optical imaging and spectroscopy for the study of the human brain: status report: status report. Neurophotonics, 9(S2), Article S24001. https://doi.org/10.1117/1.NPh.9.S2.S24001

@article{96f7cb7a168e4f688849e1eab63536ce,

title = "Optical imaging and spectroscopy for the study of the human brain: status report: status report",

abstract = "This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit of novel methods to explore brain health and function. While the first report focused on neurophotonic tools mostly applicable to animal studies, here, we highlight optical spectroscopy and imaging methods relevant to noninvasive human brain studies. We outline current state-of-the-art technologies and software advances, explore the most recent impact of these technologies on neuroscience and clinical applications, identify the areas where innovation is needed, and provide an outlook for the future directions.",

keywords = "DCS, diffuse optics, functional neuroscience, NIRS, optical imaging, optical spectroscopy",

author = "Hasan Ayaz and Baker, {Wesley B.} and Giles Blaney and Boas, {David A.} and Heather Bortfeld and Kenneth Brady and Joshua Brake and Sabrina Brigadoi and Buckley, {Erin M.} and Carp, {Stefan A.} and Cooper, {Robert J.} and Cowdrick, {Kyle R.} and Culver, {Joseph P.} and Ippeita Dan and Hamid Dehghani and Anna Devor and Turgut Durduran and Eggebrecht, {Adam T.} and Emberson, {Lauren L.} and Qianqian Fang and Sergio Fantini and Franceschini, {Maria Angela} and Fischer, {Jonas B.} and Judit Gervain and Joy Hirsch and Hong, {Keum Shik} and Roarke Horstmeyer and Kainerstorfer, {Jana M.} and Ko, {Tiffany S.} and Licht, {Daniel J.} and Adam Liebert and Robert Luke and Lynch, {Jennifer M.} and Jaume Mesquida and Mesquita, {Rickson C.} and Noman Naseer and Novi, {Sergio L.} and Felipe Orihuela-Espina and O'Sullivan, {Thomas D.} and Peterka, {Darcy S.} and Antonio Pifferi and Luca Pollonini and Angelo Sassaroli and Sato, {Jo{\~a}o Ricardo} and Felix Scholkmann and Lorenzo Spinelli and Srinivasan, {Vivek J.} and {St. Lawrence}, Keith and Ilias Tachtsidis and Yunjie Tong and Alessandro Torricelli and Tara Urner and Heidrun Wabnitz and Martin Wolf and Ursula Wolf and Shiqi Xu and Changhuei Yang and Yodh, {Arjun G.} and Y{\"u}cel, {Meryem A.} and Wenjun Zhou",

note = "Funding Information: This report was edited by Erin Buckley and Rickson Mesquita. Cover design by Tara Urner. H.A. is supported by the United States Air Force Office of Scientific Research (FA9550-18-1-0455), United States Army, the National Institutes of Health (NIH), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (1R21HD100997-01), NIH National Institute on Drug Abuse (NIDA) (1UG3DA050325-01), NIH National Institute of Nursing Research (NINR) (1R01NR018425-01A1), the National Science Foundation (NSF) (OAC1919691), and the Pennsylvania Dept. of Health (SAP4100083087). H.B. is supported by the NIH NIDCD (1R01DC018701) and the Carlston Cunningham Family endowment to the University of California, Merced. W.B.B. is supported by the NIH, grant R01-NS113945. S.B. is supported by grant GR-2019-12368539 from the Italian Ministry of Health. E.M.B is supported by NIH grants R01HL152322 and R01NS115994, as well as industry-sponsored support from Global Blood Therapeutics. S.A.C. is supported by NIH grants R01NS100750 and R21NS116571. R.J.C. is supported by EPSRC Fellowship EP/N025946/1. T.D. and J.B.F. are supported by Agencia Estatal de Investigaci{\'o}n (PHOTOMETABO, PID2019106481RBC31/10.13039/501100011033) and Fundaci{\'o} La Marat{\'o} de TV3 (201724.31, 201709.31). A.T.E. is supported by NIH National Institute of Mental Health (NIMH) “BRAINS” R01MH122751. L.L.E. is supported by the James S. McDonnell Foundation (grant 2017/AWD1005451), the Bill and Melinda Gates Foundation (grant 2020/INV-005792), and the Canadian Foundation for Innovation (grant 2021/41724). Q.F. is supported by NIH grants R01-GM114365, U24-NS124027, and R01-EB026998. S.F. is supported by NIH grants R01-NS095334 and R01-EB029414. J.G. is supported by the ERC Consolidator Grant 773202 “BabyRhythm.” K.S.H. is supported by the National Research Foundation of Korea under the Ministry of Science and ICT, Korea (2020R1A2B5B03096000). J.H. is supported by NIH grants R01MH111629, R01MH119430, and R01MH107513. J.M.K. acknowledges the financial support from the Center for Machine Learning and Health (CMLH), the American Heart Association (AHA) 17SDG33700047, and the NIH R21-EB024675. K.St.L. acknowledges the financial support of the Canadian Institutes of Health Research (CGP-130391 and 14171) and National Science and Engineering Research Council (CHRP 478470). R.C.M. is supported by the S{\~a}o Paulo Research Foundation (FAPESP 2013/07559-3) and the National Council for Scientific and Technological Development (CNPq Proc. 311768/2019-9). N.N. is supported by the Higher Education Commission of Pakistan through the National Centre of Robotics and Automation (NCRA) grant number NCRA-RF-027. S.L.N. is supported by S{\~a}o Paulo Research Foundation grants 2016/22990-0 and 2019/21962-1. T.D.O. acknowledges support from the NIH (R01EB029595). D.S.P. is supported by NIH grants U19NS104649 and U01NS113273. L.P. is supported by NSF awards CNS1650536 and TIP1919269. J.R.S. is supported by the S{\~a}o Paulo Research Foundation (FAPESP) through grants 2018/21934-5, 2018/04654-9, and 2021/05332-8. V.J.S. is supported by the NIH (EB029747, EY031469, NS094681, EB032840). I.T. acknowledges funding by MRC UK MR/S003134/1. A.G.Y. acknowledges support from the NIH through P41EB015893. W.Z. acknowledges support from the National Natural Science Foundation of China (62105315). Publisher Copyright: {\textcopyright} The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.",

year = "2022",

month = aug,

day = "30",

doi = "10.1117/1.NPh.9.S2.S24001",

language = "English",

volume = "9",

journal = "Neurophotonics",

issn = "2329-423X",

publisher = "Society of Photo-Optical Instrumentation Engineers",

number = "S2",

}

Ayaz, H, Baker, WB, Blaney, G, Boas, DA, Bortfeld, H, Brady, K, Brake, J, Brigadoi, S, Buckley, EM, Carp, SA, Cooper, RJ, Cowdrick, KR, Culver, JP, Dan, I, Dehghani, H, Devor, A, Durduran, T, Eggebrecht, AT, Emberson, LL, Fang, Q, Fantini, S, Franceschini, MA, Fischer, JB, Gervain, J, Hirsch, J, Hong, KS, Horstmeyer, R, Kainerstorfer, JM, Ko, TS, Licht, DJ, Liebert, A, Luke, R, Lynch, JM, Mesquida, J, Mesquita, RC, Naseer, N, Novi, SL, Orihuela-Espina, F, O'Sullivan, TD, Peterka, DS, Pifferi, A, Pollonini, L, Sassaroli, A, Sato, JR, Scholkmann, F, Spinelli, L, Srinivasan, VJ, St. Lawrence, K, Tachtsidis, I, Tong, Y, Torricelli, A, Urner, T, Wabnitz, H, Wolf, M, Wolf, U, Xu, S, Yang, C, Yodh, AG, Yücel, MA & Zhou, W 2022, 'Optical imaging and spectroscopy for the study of the human brain: status report: status report', Neurophotonics, vol. 9, no. S2, S24001. https://doi.org/10.1117/1.NPh.9.S2.S24001

TY - JOUR

T1 - Optical imaging and spectroscopy for the study of the human brain: status report

T2 - status report

AU - Ayaz, Hasan

AU - Baker, Wesley B.

AU - Blaney, Giles

AU - Boas, David A.

AU - Bortfeld, Heather

AU - Brady, Kenneth

AU - Brake, Joshua

AU - Brigadoi, Sabrina

AU - Buckley, Erin M.

AU - Carp, Stefan A.

AU - Cooper, Robert J.

AU - Cowdrick, Kyle R.

AU - Culver, Joseph P.

AU - Dan, Ippeita

AU - Dehghani, Hamid

AU - Devor, Anna

AU - Durduran, Turgut

AU - Eggebrecht, Adam T.

AU - Emberson, Lauren L.

AU - Fang, Qianqian

AU - Fantini, Sergio

AU - Franceschini, Maria Angela

AU - Fischer, Jonas B.

AU - Gervain, Judit

AU - Hirsch, Joy

AU - Hong, Keum Shik

AU - Horstmeyer, Roarke

AU - Kainerstorfer, Jana M.

AU - Ko, Tiffany S.

AU - Licht, Daniel J.

AU - Liebert, Adam

AU - Luke, Robert

AU - Lynch, Jennifer M.

AU - Mesquida, Jaume

AU - Mesquita, Rickson C.

AU - Naseer, Noman

AU - Novi, Sergio L.

AU - Orihuela-Espina, Felipe

AU - O'Sullivan, Thomas D.

AU - Peterka, Darcy S.

AU - Pifferi, Antonio

AU - Pollonini, Luca

AU - Sassaroli, Angelo

AU - Sato, João Ricardo

AU - Scholkmann, Felix

AU - Spinelli, Lorenzo

AU - Srinivasan, Vivek J.

AU - St. Lawrence, Keith

AU - Tachtsidis, Ilias

AU - Tong, Yunjie

AU - Torricelli, Alessandro

AU - Urner, Tara

AU - Wabnitz, Heidrun

AU - Wolf, Martin

AU - Wolf, Ursula

AU - Xu, Shiqi

AU - Yang, Changhuei

AU - Yodh, Arjun G.

AU - Yücel, Meryem A.

AU - Zhou, Wenjun

N1 - Funding Information: This report was edited by Erin Buckley and Rickson Mesquita. Cover design by Tara Urner. H.A. is supported by the United States Air Force Office of Scientific Research (FA9550-18-1-0455), United States Army, the National Institutes of Health (NIH), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (1R21HD100997-01), NIH National Institute on Drug Abuse (NIDA) (1UG3DA050325-01), NIH National Institute of Nursing Research (NINR) (1R01NR018425-01A1), the National Science Foundation (NSF) (OAC1919691), and the Pennsylvania Dept. of Health (SAP4100083087). H.B. is supported by the NIH NIDCD (1R01DC018701) and the Carlston Cunningham Family endowment to the University of California, Merced. W.B.B. is supported by the NIH, grant R01-NS113945. S.B. is supported by grant GR-2019-12368539 from the Italian Ministry of Health. E.M.B is supported by NIH grants R01HL152322 and R01NS115994, as well as industry-sponsored support from Global Blood Therapeutics. S.A.C. is supported by NIH grants R01NS100750 and R21NS116571. R.J.C. is supported by EPSRC Fellowship EP/N025946/1. T.D. and J.B.F. are supported by Agencia Estatal de Investigación (PHOTOMETABO, PID2019106481RBC31/10.13039/501100011033) and Fundació La Marató de TV3 (201724.31, 201709.31). A.T.E. is supported by NIH National Institute of Mental Health (NIMH) “BRAINS” R01MH122751. L.L.E. is supported by the James S. McDonnell Foundation (grant 2017/AWD1005451), the Bill and Melinda Gates Foundation (grant 2020/INV-005792), and the Canadian Foundation for Innovation (grant 2021/41724). Q.F. is supported by NIH grants R01-GM114365, U24-NS124027, and R01-EB026998. S.F. is supported by NIH grants R01-NS095334 and R01-EB029414. J.G. is supported by the ERC Consolidator Grant 773202 “BabyRhythm.” K.S.H. is supported by the National Research Foundation of Korea under the Ministry of Science and ICT, Korea (2020R1A2B5B03096000). J.H. is supported by NIH grants R01MH111629, R01MH119430, and R01MH107513. J.M.K. acknowledges the financial support from the Center for Machine Learning and Health (CMLH), the American Heart Association (AHA) 17SDG33700047, and the NIH R21-EB024675. K.St.L. acknowledges the financial support of the Canadian Institutes of Health Research (CGP-130391 and 14171) and National Science and Engineering Research Council (CHRP 478470). R.C.M. is supported by the São Paulo Research Foundation (FAPESP 2013/07559-3) and the National Council for Scientific and Technological Development (CNPq Proc. 311768/2019-9). N.N. is supported by the Higher Education Commission of Pakistan through the National Centre of Robotics and Automation (NCRA) grant number NCRA-RF-027. S.L.N. is supported by São Paulo Research Foundation grants 2016/22990-0 and 2019/21962-1. T.D.O. acknowledges support from the NIH (R01EB029595). D.S.P. is supported by NIH grants U19NS104649 and U01NS113273. L.P. is supported by NSF awards CNS1650536 and TIP1919269. J.R.S. is supported by the São Paulo Research Foundation (FAPESP) through grants 2018/21934-5, 2018/04654-9, and 2021/05332-8. V.J.S. is supported by the NIH (EB029747, EY031469, NS094681, EB032840). I.T. acknowledges funding by MRC UK MR/S003134/1. A.G.Y. acknowledges support from the NIH through P41EB015893. W.Z. acknowledges support from the National Natural Science Foundation of China (62105315). Publisher Copyright: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

PY - 2022/8/30

Y1 - 2022/8/30

N2 - This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit of novel methods to explore brain health and function. While the first report focused on neurophotonic tools mostly applicable to animal studies, here, we highlight optical spectroscopy and imaging methods relevant to noninvasive human brain studies. We outline current state-of-the-art technologies and software advances, explore the most recent impact of these technologies on neuroscience and clinical applications, identify the areas where innovation is needed, and provide an outlook for the future directions.

AB - This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit of novel methods to explore brain health and function. While the first report focused on neurophotonic tools mostly applicable to animal studies, here, we highlight optical spectroscopy and imaging methods relevant to noninvasive human brain studies. We outline current state-of-the-art technologies and software advances, explore the most recent impact of these technologies on neuroscience and clinical applications, identify the areas where innovation is needed, and provide an outlook for the future directions.

KW - DCS

KW - diffuse optics

KW - functional neuroscience

KW - NIRS

KW - optical imaging

KW - optical spectroscopy

UR - http://www.scopus.com/inward/record.url?scp=85142123842&partnerID=8YFLogxK

U2 - 10.1117/1.NPh.9.S2.S24001

DO - 10.1117/1.NPh.9.S2.S24001

M3 - Article

AN - SCOPUS:85142123842

SN - 2329-423X

VL - 9

JO - Neurophotonics

JF - Neurophotonics

IS - S2

M1 - S24001

ER -

Optical imaging and spectroscopy for the study of the human brain: status report: status report

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this