Journal of the Korean Academy of Child and Adolescent Psychiatry

대한소아청소년정신의학회 (Korean Academy of Child and Adolescent Psychiatry)
권호 표지
DOI QR코드

DOI QR Code

Clinical Applications of Functional Near-Infrared Spectroscopy in Children and Adolescents with Psychiatric Disorders

  • Lee, Yeon Jung (Department of Psychiatry, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine) ;
  • Kim, Minjae (Department of Psychiatry, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine) ;
  • Kim, Ji-Sun (Department of Psychiatry, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine) ;
  • Lee, Yun Sung (Department of Medical Sciences, Graduate School of Soonchunhyang University) ;
  • Shin, Jeong Eun (Department of Medical Sciences, Graduate School of Soonchunhyang University)
  • 투고 : 2021.04.16
  • 심사 : 2021.05.21
  • 발행 : 2021.07.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The purpose of this review is to examine the clinical use of functional near-infrared spectroscopy (fNIRS) in children and adolescents with psychiatric disorders. Many studies have been conducted using objective evaluation tools for psychiatric evaluation, such as predicting psychiatric symptoms and treatment responses. Compared to other tools, fNIRS has the advantage of being a noninvasive, inexpensive, and portable method and can be used with patients in the awake state. This study mainly focused on its use in patients with attention-deficit/hyperactivity disorder and autism spectrum disorder. We hope that research involving fNIRS will be actively conducted in various diseases in the future.

키워드

과제정보

This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020R1F1A1048211) and the Soonchunhyang University Research Fund.

참고문헌

  1. Clarke AR, Barry RJ, McCarthy R, Selikowitz M. EEG-defined subtypes of children with attention-deficit/hyperactivity disorder. Clin Neurophysiol 2001;112:2098-2105. https://doi.org/10.1016/S1388-2457(01)00668-X
  2. Byeon J, Choi TY, Won GH, Lee J, Kim JW. A novel quantitative electroencephalography subtype with high alpha power in ADHD: ADHD or misdiagnosed ADHD? PLoS One 2020;15:e0242566. https://doi.org/10.1371/journal.pone.0242566
  3. Yamamuro K, Ota T, Iida J, Nakanishi Y, Kishimoto N, Kishimoto T. Associations between the mismatch-negativity component and symptom severity in children and adolescents with attention deficit/hyperactivity disorder. Neuropsychiatr Dis Treat 2016;12:3183-3190. https://doi.org/10.2147/NDT.S120540
  4. Lee YJ, Jeong MY, Park S, Kim JH, Kim JS, Woo SI. Age-related changes in auditory nogo-N200 latency in medication-naive children and adolescents with attention-deficit/hyperactivity disorder. Psychiatry Investig 2020;17:702-709. https://doi.org/10.30773/pi.2020.0083
  5. Weyandt L, Swentosky A, Gudmundsdottir BG. Neuroimaging and ADHD: fMRI, PET, DTI findings, and methodological limitations. Dev Neuropsychol 2013;38:211-225. https://doi.org/10.1080/87565641.2013.783833
  6. Krause J. SPECT and PET of the dopamine transporter in attention-deficit/hyperactivity disorder. Expert Rev Neurother 2008;8:611-625. https://doi.org/10.1586/14737175.8.4.611
  7. Shaw P, Gilliam M, Liverpool M, Weddle C, Malek M, Sharp W, et al. Cortical development in typically developing children with symptoms of hyperactivity and impulsivity: support for a dimensional view of attention deficit hyperactivity disorder. Am J Psychiatry 2011;168:143-151. https://doi.org/10.1176/appi.ajp.2010.10030385
  8. Rubia K. Neuro-anatomic evidence for the maturational delay hypothesis of ADHD. Proc Natl Acad Sci U S A 2007;104:19663-19664. https://doi.org/10.1073/pnas.0710329105
  9. Wigal SB, Polzonetti CM, Stehli A, Gratton E. Phase synchronization of oxygenation waves in the frontal areas of children with attention-deficit hyperactivity disorder detected by optical diffusion spectroscopy correlates with medication. J Biomed Opt 2012;17:127002. https://doi.org/10.1117/1.JBO.17.12.127002
  10. Fukuda M. Near-infrared spectroscopy in psychiatry. Brain Nerve 2012;64:175-183.
  11. Yasumura A, Kokubo N, Yamamoto H, Yasumura Y, Nakagawa E, Kaga M, et al. Neurobehavioral and hemodynamic evaluation of Stroop and reverse Stroop interference in children with attention-deficit/hyperactivity disorder. Brain Dev 2014;36:97-106. https://doi.org/10.1016/j.braindev.2013.01.005
  12. Yasumura A, Omori M, Fukuda A, Takahashi J, Yasumura Y, Nakagawa E, et al. Applied machine learning method to predict children with ADHD using prefrontal cortex activity: a multicenter study in Japan. J Atten Disord 2020;24:2012-2020. https://doi.org/10.1177/1087054717740632
  13. Negoro H, Sawada M, Iida J, Ota T, Tanaka S, Kishimoto T. Prefrontal dysfunction in attention-deficit/hyperactivity disorder as measured by near-infrared spectroscopy. Child Psychiatry Hum Dev 2010;41:193-203. https://doi.org/10.1007/s10578-009-0160-y
  14. American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5. 5th ed. Arlington, VA: American Psychiatric Association;2013.
  15. Barkley RA. Behavioral inhibition, sustained attention, and executive functions: constructing a unifying theory of ADHD. Psychol Bull 1997;121:65-94. https://doi.org/10.1037/0033-2909.121.1.65
  16. Schroeter ML, Zysset S, Wahl M, von Cramon DY. Prefrontal activation due to Stroop interference increases during development--an event-related fNIRS study. Neuroimage 2004;23:1317-1325. https://doi.org/10.1016/j.neuroimage.2004.08.001
  17. Kaga Y, Ueda R, Tanaka M, Kita Y, Suzuki K, Okumura Y, et al. Executive dysfunction in medication-naive children with ADHD: a multi-modal fNIRS and EEG study. Brain Dev 2020;42:555-563. https://doi.org/10.1016/j.braindev.2020.05.007
  18. Yasumura A, Omori M, Fukuda A, Takahashi J, Yasumura Y, Nakagawa E, et al. Age-related differences in frontal lobe function in children with ADHD. Brain Dev 2019;41:577-586. https://doi.org/10.1016/j.braindev.2019.03.006
  19. Monden Y, Dan H, Nagashima M, Dan I, Tsuzuki D, Kyutoku Y, et al. Right prefrontal activation as a neuro-functional biomarker for monitoring acute effects of methylphenidate in ADHD children: an fNIRS study. Neuroimage Clin 2012;1:131-140. https://doi.org/10.1016/j.nicl.2012.10.001
  20. Grazioli S, Mauri M, Crippa A, Maggioni E, Molteni M, Brambilla P, et al. Light up ADHD: II. Neuropharmacological effects measured by near infrared spectroscopy: is there a biomarker? J Affect Disord 2019;244:100-106. https://doi.org/10.1016/j.jad.2018.10.100
  21. Nagashima M, Monden Y, Dan I, Dan H, Tsuzuki D, Mizutani T, et al. Acute neuropharmacological effects of atomoxetine on inhibitory control in ADHD children: a fNIRS study. Neuroimage Clin 2014;6:192-201. https://doi.org/10.1016/j.nicl.2014.09.001
  22. Nakanishi Y, Ota T, Iida J, Yamamuro K, Kishimoto N, Okazaki K, et al. Differential therapeutic effects of atomoxetine and methylphenidate in childhood attention deficit/hyperactivity disorder as measured by near-infrared spectroscopy. Child Adolesc Psychiatry Ment Health 2017;11:26. https://doi.org/10.1186/s13034-017-0163-6
  23. Sanefuji M, Yamashita H, Torisu H, Takada Y, Imanaga H, Matsunaga M, et al. Altered strategy in short-term memory for pictures in children with attention-deficit/hyperactivity disorder: a near-infrared spectroscopy study. Psychiatry Res 2014;223:37-42. https://doi.org/10.1016/j.pscychresns.2014.04.012
  24. Nagashima M, Monden Y, Dan I, Dan H, Tsuzuki D, Mizutani T, et al. Neuropharmacological effect of methylphenidate on attention network in children with attention deficit hyperactivity disorder during oddball paradigms as assessed using functional near-infrared spectroscopy. Neurophotonics 2014;1:015001. https://doi.org/10.1117/1.NPh.1.1.015001
  25. Zhang F, Roeyers H. Exploring brain functions in autism spectrum disorder: a systematic review on functional near-infrared spectroscopy (fNIRS) studies. Int J Psychophysiol 2019;137:41-53. https://doi.org/10.1016/j.ijpsycho.2019.01.003
  26. Siddiqui MF, Lloyd-Fox S, Kaynezhad P, Tachtsidis I, Johnson MH, Elwell CE. Non-invasive measurement of a metabolic marker of infant brain function. Sci Rep 2017;7:1330. https://doi.org/10.1038/s41598-017-01394-z
  27. Lloyd-Fox S, Blasi A, Elwell CE, Charman T, Murphy D, Johnson MH. Reduced neural sensitivity to social stimuli in infants at risk for autism. Proc Biol Sci 2013;280:20123026.
  28. Lloyd-Fox S, Blasi A, Pasco G, Gliga T, Jones EJH, Murphy DGM, et al. Cortical responses before 6 months of life associate with later autism. Eur J Neurosci 2018;47:736-749. https://doi.org/10.1111/ejn.13757
  29. Braukmann R, Lloyd-Fox S, Blasi A, Johnson MH, Bekkering H, Buitelaar JK, et al. Diminished socially selective neural processing in 5-month-old infants at high familial risk of autism. Eur J Neurosci 2018;47:720-728. https://doi.org/10.1111/ejn.13751
  30. Kita Y, Gunji A, Inoue Y, Goto T, Sakihara K, Kaga M, et al. Self-face recognition in children with autism spectrum disorders: a near-infrared spectroscopy study. Brain Dev 2011;33:494-503. https://doi.org/10.1016/j.braindev.2010.11.007
  31. Mori K, Toda Y, Ito H, Mori T, Mori K, Goji A, et al. Neuroimaging in autism spectrum disorders: 1H-MRS and NIRS study. J Med Invest 2015;62:29-36. https://doi.org/10.2152/jmi.62.29
  32. Zhu H, Li J, Fan Y, Li X, Huang D, He S. Atypical prefrontal cortical responses to joint/non-joint attention in children with autism spectrum disorder (ASD): a functional near-infrared spectroscopy study. Biomed Opt Express 2015;6:690-701. https://doi.org/10.1364/BOE.6.000690
  33. Minagawa-Kawai Y, Naoi N, Kikuchi N, Yamamoto J, Nakamura K, Kojima S. Cerebral laterality for phonemic and prosodic cue decoding in children with autism. Neuroreport 2009;20:1219-1224. https://doi.org/10.1097/WNR.0b013e32832fa65f
  34. Gallagher A, Theriault M, Maclin E, Low K, Gratton G, Fabiani M, et al. Near-infrared spectroscopy as an alternative to the Wada test for language mapping in children, adults and special populations. Epileptic Disord 2007;9:241-255.
  35. Kuwabara H, Kasai K, Takizawa R, Kawakubo Y, Yamasue H, Rogers MA, et al. Decreased prefrontal activation during letter fluency task in adults with pervasive developmental disorders: a near-infrared spectroscopy study. Behav Brain Res 2006;172:272-277. https://doi.org/10.1016/j.bbr.2006.05.020
  36. Iwanami A, Okajima Y, Ota H, Tani M, Yamada T, Hashimoro R, et al. Task dependent prefrontal dysfunction in persons with Asperger's disorder investigated with multi-channel near-infrared spectroscopy. Res Autism Spectr Disord 2011;5:1187-1193. https://doi.org/10.1016/j.rasd.2011.01.005
  37. Narita N, Saotome A, Higuchi H, Narita M, Tazoe M, Sakatani K. Impaired prefrontal cortical response by switching stimuli in autism spectrum disorders. J Pediatric Neurol 2012;10:87-94.
  38. Yanagisawa K, Nakamura N, Tsunashima H, Narita N. Proposal of auxiliary diagnosis index for autism spectrum disorder using near-infrared spectroscopy. Neurophotonics 2016;3:031413. https://doi.org/10.1117/1.NPh.3.3.031413
  39. Funabiki Y, Murai T, Toichi M. Cortical activation during attention to sound in autism spectrum disorders. Res Dev Disabil 2012;33:518-524. https://doi.org/10.1016/j.ridd.2011.10.016
  40. Xiao T, Xiao Z, Ke X, Hong S, Yang H, Su Y, et al. Response inhibition impairment in high functioning autism and attention deficit hyperactivity disorder: evidence from near-infrared spectroscopy data. PLoS One 2012;7:e46569. https://doi.org/10.1371/journal.pone.0046569
  41. Keehn B, Wagner JB, Tager-Flusberg H, Nelson CA. Functional connectivity in the first year of life in infants at-risk for autism: a preliminary near-infrared spectroscopy study. Front Hum Neurosci 2013;7:444. https://doi.org/10.3389/fnhum.2013.00444
  42. Li Y, Yu D. Weak network efficiency in young children with autism spectrum disorder: evidence from a functional near-infrared spectroscopy study. Brain Cogn 2016;108:47-55. https://doi.org/10.1016/j.bandc.2016.07.006
  43. Li J, Qiu L, Xu L, Pedapati EV, Erickson CA, Sunar U. Characterization of autism spectrum disorder with spontaneous hemodynamic activity. Biomed Opt Express 2016;7:3871-3881 https://doi.org/10.1364/BOE.7.003871
  44. Liu N, Cliffer S, Pradhan AH, Lightbody A, Hall SS, Reiss AL. Optical-imaging-based neurofeedback to enhance therapeutic intervention in adolescents with autism: methodology and initial data. Neurophotonics 2017;4:011003. https://doi.org/10.1117/1.NPh.4.1.011003
  45. Narita N. Application of NIRS as a non-invasive and supportive tool for autism spectrum disorders. Trans Jpn Soc Med Biol Eng 2015;53:S366-S368.
  46. Kohl SH, Mehler DMA, Luhrs M, Thibault RT, Konrad K, Sorger B. The potential of functional near-infrared spectroscopy-based neurofeedback-a systematic review and recommendations for best practice. Front Neurosci 2020;14:594. https://doi.org/10.3389/fnins.2020.00594
  47. Ho CSH, Lim LJH, Lim AQ, Chan NHC, Tan RS, Lee SH, et al. Diagnostic and predictive applications of functional near-infrared spectroscopy for major depressive disorder: a systematic review. Front Psychiatry 2020;11:378. https://doi.org/10.3389/fpsyt.2020.00378
  48. Baik SY, Kim JY, Choi J, Baek JY, Park Y, Kim Y, et al. Prefrontal asymmetry during cognitive tasks and its relationship with suicide ideation in major depressive disorder: an fNIRS study. Diagnostics (Basel) 2019;9:193. https://doi.org/10.3390/diagnostics9040193
  49. Okada G, Okamoto Y, Yamashita H, Ueda K, Takami H, Yamawaki S. Attenuated prefrontal activation during a verbal fluency task in remitted major depression. Psychiatry Clin Neurosci 2009;63:423-425. https://doi.org/10.1111/j.1440-1819.2009.01952.x
  50. Arnone D, McIntosh AM, Ebmeier KP, Munafo MR, Anderson IM. Magnetic resonance imaging studies in unipolar depression: systematic review and meta-regression analyses. Eur Neuropsychopharmacol 2012;22:1-16. https://doi.org/10.1016/j.euroneuro.2011.05.003
  51. Akiyama T, Koeda M, Okubo Y, Kimura M. Hypofunction of left dorsolateral prefrontal cortex in depression during verbal fluency task: a multi-channel near-infrared spectroscopy study. J Affect Disord 2018;231:83-90. https://doi.org/10.1016/j.jad.2018.01.010
  52. Lee YJ, Park SY, Sung LY, Kim JH, Choi J, Oh K, et al. Reduced left ventrolateral prefrontal cortex activation during verbal fluency tasks is associated with suicidal ideation severity in medication-naive young adults with major depressive disorder: a functional near-infrared spectroscopy study. Psychiatry Res Neuroimaging 2021;312:111228.
  53. Nagamitsu S, Araki Y, Ioji T, Yamashita F, Ozono S, Kouno M, et al. Prefrontal brain function in children with anorexia nervosa: a near-infrared spectroscopy study. Brain Dev 2011;33:35-44. https://doi.org/10.1016/j.braindev.2009.12.010
  54. Fekete T, Beacher FD, Cha J, Rubin D, Mujica-Parodi LR. Small-world network properties in prefrontal cortex correlate with predictors of psychopathology risk in young children: a NIRS study. Neuroimage 2014;85 Pt 1:345-353. https://doi.org/10.1016/j.neuroimage.2013.07.022
  55. Gazit AZ, Fehr J. Perioperative management of the pediatric cardiac transplantation patient. Curr Treat Options Cardiovasc Med 2011;13:425-443. https://doi.org/10.1007/s11936-011-0143-8
  56. Gallagher A, Beland R, Lassonde M. The contribution of functional near-infrared spectroscopy (fNIRS) to the presurgical assessment of language function in children. Brain Lang 2012;121:124-129. https://doi.org/10.1016/j.bandl.2011.03.006