Neurofeedback technology based on functional near infrared spectroscopy imaging and its applications_Journal of Biomedical Engineering

Authors：

LI Mengqi ^1,2 , GONG Anmin ³ , NAN Wenya ⁴ , XU Bojun ^1,2 , DING Peng ^1,2 ,  FU Yunfa ^1,2

1. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China;
2. Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, P. R. China;
3. School of Information Engineering, Chinese People's Armed Police Force Engineering University, Xi’an 710000, P. R. China;
4. Department of Psychology, School of Education, Shanghai Normal University, Shanghai 200234, P. R. China;

Corresponding author：

Keywords：

Functional near infrared spectroscopy; Neurofeedback; Neuropsychiatric diseases; Hemodynamics; Brain-computer interface

DOI：

10.7507/1001-5515.202204031

Video：

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Neurofeedback (NF) technology based on electroencephalogram (EEG) data or functional magnetic resonance imaging (fMRI) has been widely studied and applied. In contrast, functional near infrared spectroscopy (fNIRS) has become a new technique in NF research in recent years. fNIRS is a neuroimaging technology based on hemodynamics, which has the advantages of low cost, good portability and high spatial resolution, and is more suitable for use in natural environments. At present, there is a lack of comprehensive review on fNIRS-NF technology (fNIRS-NF) in China. In order to provide a reference for the research of fNIRS-NF technology, this paper first describes the principle, key technologies and applications of fNIRS-NF, and focuses on the application of fNIRS-NF. Finally, the future development trend of fNIRS-NF is prospected and summarized. In conclusion, this paper summarizes fNIRS-NF technology and its application, and concludes that fNIRS-NF technology has potential practicability in neurological diseases and related fields. fNIRS can be used as a good method for NF training. This paper is expected to provide reference information for the development of fNIRS-NF technology.

Citation： LI Mengqi, GONG Anmin, NAN Wenya, XU Bojun, DING Peng, FU Yunfa. Neurofeedback technology based on functional near infrared spectroscopy imaging and its applications. Journal of Biomedical Engineering, 2022, 39(5): 1041-1049. doi: 10.7507/1001-5515.202204031 Copy

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2.	伏云发, 龚安民, 陈超, 等. 面向实用的脑-机接口:缩小研究与实际应用之间的差距. 北京: 科学出版社, 2022: 18-19.
3.	Omejc N, Rojc B, Battaglini P,et al. Review of the therapeutic neurofeedback method using electroencephalography: EEG neurofeedback. Bosnian journal of basic medical sciences, 2019, 19(3): 213-220.
4.	Paret C, Goldway N, Zich C, et al. Current progress in real-time functional magnetic resonance-based neurofeedback: methodological challenges and achievements. NeuroImage, 2019, 202: 116107.
5.	Laborda-Sánchez F, Cansino S. The effects of neurofeedback on aging-associated cognitive decline: a systematic review. Applied Psychophysiology and Biofeedback, 2021, 46(1): 1-10.
6.	伏云发, 郭衍龙, 张夏冰, 等. 脑-机接口-革命性的人机交互. 北京: 国防工业出版社, 2020: 56-57.
7.	Tang Y, Chen Z, Jiang Y, et al. From reversal to normal: robust improvement in conflict adaptation through real-time functional near infrared spectroscopy-based neurofeedback training. Neuropsychologia, 2021, 157: 107866.
8.	Tursic A, Eck J, Lührs M, et al. A systematic review of fMRI neurofeedback reporting and effects in clinical populations. NeuroImage Clinical, 2020, 28: 102496.
9.	Lee Y J, Kim M, Kim J S, et al. Clinical applications of functional near-infrared spectroscopy in children and adolescents with psychiatric disorders. Journal of Korean Academy of Child and Adolescent Psychiatry, 2021, 32(3): 99-103.
10.	Quaresima V, Ferrari M. A mini-review on functional near-infrared spectroscopy (fNIRS): where do we stand, and where should we go?. Photonics, 2019, 6(3): 87.
11.	Pinti P, Tachtsidis I, Hamilton A, et al. The present and future use of functional near-infrared spectroscopy (fNIRS) for cognitive neuroscience. Annals of the New York Academy of Sciences, 2020, 1464(1): 5-29.
12.	Ehlis A C, Barth B, Hudak J, et al. Near-infrared spectroscopy as a new tool for neurofeedback training: applications in psychiatry and methodological considerations: NIRS neurofeedback in psychiatry. Japanese Psychological Research, 2018, 60(Suppl): 225-241.
13.	Kohl S H, Mehler D M A, Lührs M, et al. The potential of functional near-infrared spectroscopy-based neuro-feedback-a systematic review and recommendations for best practice. Frontiers in Neuroscience, 2020, 14: 594.
14.	Fujimoto H, Mihara M, Hattori N, et al. Neurofeedback-induced facilitation of the supplementary motor area affects postural stability. Neurophotonics, 2017, 4(4): 045003.
15.	Rahman M A, Siddik A B, Ghosh T K, et al. A narrative review on clinical applications of fNIRS. Journal of Digital Imaging, 2020, 33(5): 1167-1184.
16.	Naseer N , Hong K S. fNIRS-based brain-computer interfaces: a review. Frontiers in Human Neuroscience, 2015, 9: 3.
17.	Trambaiolli L R ,Biazoli C E , Cravo A M , et al. Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole connectivity profiles. Neurophotonics, 2018, 5(3): 035009.
18.	Hudak J, Blume F, Dresler T, et al. Near-infrared spectroscopy-based frontal lobe neurofeedback integrated in virtual reality modulates brain and behavior in highly impulsive adults. Front Hum Neurosci, 2017, 11: 425.
19.	Liu N, Cliffer S, Pradhan A H, et al. Optical-imaging-based neurofeedback to enhance therapeutic intervention in adolescents with autism: methodology and initial data. Neurophotonics, 2017, 4(1): 011003.
20.	Mihara M, Fujimoto H, Hattori N,et al. Effect of neurofeedback facilitation on poststroke gait and balance recovery a randomized controlled trial. Neurology, 2021, 96(21): 2587-2598.
21.	Li K, Jiang Y, Gong Y , et al. Functional near-infrared spectroscopy-informed neurofeedback: regional-specific modulation of lateral orbitofrontal activation and cognitive flexibility. Neurophotonics, 2019, 6(2): 025011.
22.	Yu L, Long Q, Tang Y, et al. Improving emotion regulation through real-time neurofeedback training on the right dorsolateral prefrontal cortex: evidence from behavioral and brain network analyses. Frontiers in Human Neuroscience, 2021, 15: 620342.
23.	Storchak H, Hudak J, Haeussinger F B, et al. Reducing auditory verbal hallucinations by means of fNIRS neurofeedback-a case study with a paranoid schizophrenic patient. Schizophr Res, 2019, 204: 401-403.
24.	Xia Meiyun, Xu Pengfei, Yang Yuanbin, et al. Frontoparietal connectivity neurofeedback training for promotion of working memory: an fNIRS study in healthy male participants. IEEE Access, 2021, 9: 62316-62331.
25.	Klein F, Kranczioch C. Signal processing in fNIRS: a case for the removal of systemic activity for single trial data. Front Hum Neurosci, 2019, 13: 331.
26.	朱朝喆. 近红外光谱脑功能成像. 北京:科学出版社, 2020: 47-50.
27.	Shin J. Random subspace ensemble learning for functional near-infrared spectroscopy brain-computer interfaces. Frontiers in Human Neuroscience, 2020, 14: 236-245.
28.	Cui Xu, Bray S, Reiss A L. Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics. Neuroimage, 2010, 49(4): 3039-3046.
29.	Lapborisuth P, Zhang X, Noah A, et al. Neurofeedback-based functional near-infrared spectroscopy upregulates motor cortex activity in imagined motor tasks. Neurophotonics, 2017, 4(2): 021107.
30.	Kober S E, Gressenberger B, Kurzmann J, et al. Voluntary modulation of hemodynamic responses in swallowing related motor areas: a near-infrared spectroscopy-based neurofeedback study. PLoS One, 2015, 10(11): e0143314.
31.	Kimmig A S, Dresler T, Hudak J, et al. Feasibility of NIRS-based neurofeedback training in social anxiety disorder: behavioral and neural correlates. J Neural Transm (Vienna), 2019, 126(9): 1175-1185.
32.	Marx A M, Ehlis A C, Furdea A, et al. Near-infrared spectroscopy (NIRS) neurofeedback as a treatment for children with attention deficit hyperactivity disorder(ADHD)-a pilot study. Front Hum Neurosci, 2015, 8: 1038.
33.	Ota Y, Takamoto K, Urakawa S, et al. Motor imagery training with neurofeedback from the frontal pole facilitated sensorimotor cortical activity and improved hand dexterity. Front Neurosci, 2020, 14: 34.
34.	Yasumura A, Omori M, Fukuda A, et al. Applied machine learning method to predict children with ADHD using prefrontal cortex activity: a multicenter study in Japan. J Atten Disord, 2020, 24(14): 2012-2020.
35.	Blume F, Quixal M, Hudak J, et al. Development of reading abilities in children with ADHD following fNIRS-neurofeedback or EMG-biofeedback. Lernen und Lernstörungen, 2020, 9(3): 163-174.
36.	Barth B, Mayer-Carius K, Strehl U, et al. A randomized-controlled neurofeedback trial in adult attention-deficit/hyperactivity disorder. Sci Rep, 2021, 11(1): 16873.
37.	Ramot M, Grossman S, Friedman D, et al. Covert neurofeedback without awareness shapes cortical network spontaneous connectivity. Proc Natl Acad Sci U S A, 2016, 113(17): 2413-2420.
38.	Kober S E, Witte M, Ninaus M, et al. Learning to modulate one's own brain activity: the effect of spontaneous mental strategies. Front Hum Neurosci, 2013, 7: 695.
39.	Hirano Y, Tamura S. Recent findings on neurofeedback training for auditory hallucinations in schizophrenia. Curr Opin Psychiatry, 2021, 34(3): 245-252.
40.	龙泉杉. 工作记忆影响情绪调节的神经机制及其干预. 重庆: 西南大学, 2020.
41.	Notzon S, Steinberg C, Zwanzger P, et al. Modulating emotion perception: opposing effects of inhibitory and excitatory prefrontal cortex stimulation. Biol Psychiatry Cogn Neurosci Neuroimaging, 2018, 3(4): 329-336.
42.	Herwig U, Lutz J, Scherpiet S, et al. Training emotion regulation through real-time fMRI neurofeedback of amygdala activity. NeuroImage, 2019, 184: 687-696.
43.	Rieke J D, Matarasso A K, Yusufali M M, et al. Development of a combined, sequential real-time fMRI and fNIRS neurofeedback system to enhance motor learning after stroke. J Neurosci Methods, 2020, 341: 108719.
44.	Huo C, Xu G, Li Z, et al. Limb linkage rehabilitation training-related changes in cortical activation and effective connectivity after stroke: A functional near-infrared spectroscopy study. Sci Rep, 2019, 9(1): 6226.
45.	Kim Y H, You S H, Kwon Y H, et al. Longitudinal fMRI study for locomotor recovery in patients with stroke. Neurology, 2006, 67(2): 330-333.
46.	Xu Pengfei, Wang Zehua, Xia Meiyun, et al. A functional near-infrared spectroscopy-based frontoparietal connectivity neurofeedback training method for cognitive functions promotion. arXiv:2003.14091, 2020, 10: 14091.
47.	Hou X, Xiao X, Gong Y, et al. Functional near-infrared spectroscopy neurofeedback of cortical target enhances hippocampal activation and memory performance. Neurosci Bull, 2021, 37(8): 1251-1255.

1. 伏云发, 龚安民, 南文雅, 等. 神经反馈原理与实践. 北京: 电子工业出版社, 2021: 1-2.
2. 伏云发, 龚安民, 陈超, 等. 面向实用的脑-机接口:缩小研究与实际应用之间的差距. 北京: 科学出版社, 2022: 18-19.
3. Omejc N, Rojc B, Battaglini P,et al. Review of the therapeutic neurofeedback method using electroencephalography: EEG neurofeedback. Bosnian journal of basic medical sciences, 2019, 19(3): 213-220.
4. Paret C, Goldway N, Zich C, et al. Current progress in real-time functional magnetic resonance-based neurofeedback: methodological challenges and achievements. NeuroImage, 2019, 202: 116107.
5. Laborda-Sánchez F, Cansino S. The effects of neurofeedback on aging-associated cognitive decline: a systematic review. Applied Psychophysiology and Biofeedback, 2021, 46(1): 1-10.
6. 伏云发, 郭衍龙, 张夏冰, 等. 脑-机接口-革命性的人机交互. 北京: 国防工业出版社, 2020: 56-57.
7. Tang Y, Chen Z, Jiang Y, et al. From reversal to normal: robust improvement in conflict adaptation through real-time functional near infrared spectroscopy-based neurofeedback training. Neuropsychologia, 2021, 157: 107866.
8. Tursic A, Eck J, Lührs M, et al. A systematic review of fMRI neurofeedback reporting and effects in clinical populations. NeuroImage Clinical, 2020, 28: 102496.
9. Lee Y J, Kim M, Kim J S, et al. Clinical applications of functional near-infrared spectroscopy in children and adolescents with psychiatric disorders. Journal of Korean Academy of Child and Adolescent Psychiatry, 2021, 32(3): 99-103.
10. Quaresima V, Ferrari M. A mini-review on functional near-infrared spectroscopy (fNIRS): where do we stand, and where should we go?. Photonics, 2019, 6(3): 87.
11. Pinti P, Tachtsidis I, Hamilton A, et al. The present and future use of functional near-infrared spectroscopy (fNIRS) for cognitive neuroscience. Annals of the New York Academy of Sciences, 2020, 1464(1): 5-29.
12. Ehlis A C, Barth B, Hudak J, et al. Near-infrared spectroscopy as a new tool for neurofeedback training: applications in psychiatry and methodological considerations: NIRS neurofeedback in psychiatry. Japanese Psychological Research, 2018, 60(Suppl): 225-241.
13. Kohl S H, Mehler D M A, Lührs M, et al. The potential of functional near-infrared spectroscopy-based neuro-feedback-a systematic review and recommendations for best practice. Frontiers in Neuroscience, 2020, 14: 594.
14. Fujimoto H, Mihara M, Hattori N, et al. Neurofeedback-induced facilitation of the supplementary motor area affects postural stability. Neurophotonics, 2017, 4(4): 045003.
15. Rahman M A, Siddik A B, Ghosh T K, et al. A narrative review on clinical applications of fNIRS. Journal of Digital Imaging, 2020, 33(5): 1167-1184.
16. Naseer N , Hong K S. fNIRS-based brain-computer interfaces: a review. Frontiers in Human Neuroscience, 2015, 9: 3.
17. Trambaiolli L R ,Biazoli C E , Cravo A M , et al. Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole connectivity profiles. Neurophotonics, 2018, 5(3): 035009.
18. Hudak J, Blume F, Dresler T, et al. Near-infrared spectroscopy-based frontal lobe neurofeedback integrated in virtual reality modulates brain and behavior in highly impulsive adults. Front Hum Neurosci, 2017, 11: 425.
19. Liu N, Cliffer S, Pradhan A H, et al. Optical-imaging-based neurofeedback to enhance therapeutic intervention in adolescents with autism: methodology and initial data. Neurophotonics, 2017, 4(1): 011003.
20. Mihara M, Fujimoto H, Hattori N,et al. Effect of neurofeedback facilitation on poststroke gait and balance recovery a randomized controlled trial. Neurology, 2021, 96(21): 2587-2598.
21. Li K, Jiang Y, Gong Y , et al. Functional near-infrared spectroscopy-informed neurofeedback: regional-specific modulation of lateral orbitofrontal activation and cognitive flexibility. Neurophotonics, 2019, 6(2): 025011.
22. Yu L, Long Q, Tang Y, et al. Improving emotion regulation through real-time neurofeedback training on the right dorsolateral prefrontal cortex: evidence from behavioral and brain network analyses. Frontiers in Human Neuroscience, 2021, 15: 620342.
23. Storchak H, Hudak J, Haeussinger F B, et al. Reducing auditory verbal hallucinations by means of fNIRS neurofeedback-a case study with a paranoid schizophrenic patient. Schizophr Res, 2019, 204: 401-403.
24. Xia Meiyun, Xu Pengfei, Yang Yuanbin, et al. Frontoparietal connectivity neurofeedback training for promotion of working memory: an fNIRS study in healthy male participants. IEEE Access, 2021, 9: 62316-62331.
25. Klein F, Kranczioch C. Signal processing in fNIRS: a case for the removal of systemic activity for single trial data. Front Hum Neurosci, 2019, 13: 331.
26. 朱朝喆. 近红外光谱脑功能成像. 北京:科学出版社, 2020: 47-50.
27. Shin J. Random subspace ensemble learning for functional near-infrared spectroscopy brain-computer interfaces. Frontiers in Human Neuroscience, 2020, 14: 236-245.
28. Cui Xu, Bray S, Reiss A L. Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics. Neuroimage, 2010, 49(4): 3039-3046.
29. Lapborisuth P, Zhang X, Noah A, et al. Neurofeedback-based functional near-infrared spectroscopy upregulates motor cortex activity in imagined motor tasks. Neurophotonics, 2017, 4(2): 021107.
30. Kober S E, Gressenberger B, Kurzmann J, et al. Voluntary modulation of hemodynamic responses in swallowing related motor areas: a near-infrared spectroscopy-based neurofeedback study. PLoS One, 2015, 10(11): e0143314.
31. Kimmig A S, Dresler T, Hudak J, et al. Feasibility of NIRS-based neurofeedback training in social anxiety disorder: behavioral and neural correlates. J Neural Transm (Vienna), 2019, 126(9): 1175-1185.
32. Marx A M, Ehlis A C, Furdea A, et al. Near-infrared spectroscopy (NIRS) neurofeedback as a treatment for children with attention deficit hyperactivity disorder(ADHD)-a pilot study. Front Hum Neurosci, 2015, 8: 1038.
33. Ota Y, Takamoto K, Urakawa S, et al. Motor imagery training with neurofeedback from the frontal pole facilitated sensorimotor cortical activity and improved hand dexterity. Front Neurosci, 2020, 14: 34.
34. Yasumura A, Omori M, Fukuda A, et al. Applied machine learning method to predict children with ADHD using prefrontal cortex activity: a multicenter study in Japan. J Atten Disord, 2020, 24(14): 2012-2020.
35. Blume F, Quixal M, Hudak J, et al. Development of reading abilities in children with ADHD following fNIRS-neurofeedback or EMG-biofeedback. Lernen und Lernstörungen, 2020, 9(3): 163-174.
36. Barth B, Mayer-Carius K, Strehl U, et al. A randomized-controlled neurofeedback trial in adult attention-deficit/hyperactivity disorder. Sci Rep, 2021, 11(1): 16873.
37. Ramot M, Grossman S, Friedman D, et al. Covert neurofeedback without awareness shapes cortical network spontaneous connectivity. Proc Natl Acad Sci U S A, 2016, 113(17): 2413-2420.
38. Kober S E, Witte M, Ninaus M, et al. Learning to modulate one's own brain activity: the effect of spontaneous mental strategies. Front Hum Neurosci, 2013, 7: 695.
39. Hirano Y, Tamura S. Recent findings on neurofeedback training for auditory hallucinations in schizophrenia. Curr Opin Psychiatry, 2021, 34(3): 245-252.
40. 龙泉杉. 工作记忆影响情绪调节的神经机制及其干预. 重庆: 西南大学, 2020.
41. Notzon S, Steinberg C, Zwanzger P, et al. Modulating emotion perception: opposing effects of inhibitory and excitatory prefrontal cortex stimulation. Biol Psychiatry Cogn Neurosci Neuroimaging, 2018, 3(4): 329-336.
42. Herwig U, Lutz J, Scherpiet S, et al. Training emotion regulation through real-time fMRI neurofeedback of amygdala activity. NeuroImage, 2019, 184: 687-696.
43. Rieke J D, Matarasso A K, Yusufali M M, et al. Development of a combined, sequential real-time fMRI and fNIRS neurofeedback system to enhance motor learning after stroke. J Neurosci Methods, 2020, 341: 108719.
44. Huo C, Xu G, Li Z, et al. Limb linkage rehabilitation training-related changes in cortical activation and effective connectivity after stroke: A functional near-infrared spectroscopy study. Sci Rep, 2019, 9(1): 6226.
45. Kim Y H, You S H, Kwon Y H, et al. Longitudinal fMRI study for locomotor recovery in patients with stroke. Neurology, 2006, 67(2): 330-333.
46. Xu Pengfei, Wang Zehua, Xia Meiyun, et al. A functional near-infrared spectroscopy-based frontoparietal connectivity neurofeedback training method for cognitive functions promotion. arXiv:2003.14091, 2020, 10: 14091.
47. Hou X, Xiao X, Gong Y, et al. Functional near-infrared spectroscopy neurofeedback of cortical target enhances hippocampal activation and memory performance. Neurosci Bull, 2021, 37(8): 1251-1255.

Journal of Biomedical Engineering

Neurofeedback technology based on functional near infrared spectroscopy imaging and its applications

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