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Published August 30, 2022 | public
Journal Article

Optical imaging and spectroscopy for the study of the human brain: 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.

Additional 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).

Additional details

Created:
August 22, 2023
Modified:
October 23, 2023