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Research progress of rt-fMRI-NF regulating amygdala activity and improving mood disorders
WANG Caiyun  QI Fei  WU Xiaoling  ZHOU Jing  ZOU Zhi  YAN Fengshan  DOU Shewei  LI Zhonglin  ZHU Zhimin  LI Yongli 

Cite this article as: WANG C Y, QI F, WU X L, et al. Research progress of rt-fMRI-NF regulating amygdala activity and improving mood disorders[J]. Chin J Magn Reson Imaging, 2023, 14(2): 149-152, 162. DOI:10.12015/issn.1674-8034.2023.02.026.


[Abstract] Real-time functional magnetic resonance imaging neurofeedback (rt-fMRI-NF) is an important advance in fMRI that changes brain function by regulating the activity of specific brain targets in subjects and thus affects the clinical behavior of subjects. The amygdala is a key brain region of the emotion regulation network, and the use of rt-fMRI-NF to regulate amygdala activity provides a novel bio-assisted treatment for the clinical treatment of mood disorders, which is a very promising technology. In this paper, by reviewing the emergence and basic principles of rt-fMRI-NF, the principle of regulating amygdala activity to improve mood disorders, the influencing factors of regulating the efficacy of amygdala activity, and the clinical application prospects and efficacy of regulating amygdala to improve mood disorders, this paper aims to provide a theoretical basis for rt-fMR-NF to regulate amygdala to improve mood disorders, and promote the wider development and application of rt-fMRI-NF as a clinical adjunct treatment for mental disorders.
[Keywords] real-time functional magnetic resonance imaging neurofeedback;magnetic resonance imaging;amygdala;depression;anxiety disorder;insomnia;posttraumatic stress disorder

WANG Caiyun1   QI Fei1   WU Xiaoling1   ZHOU Jing2   ZOU Zhi1   YAN Fengshan1   DOU Shewei1   LI Zhonglin1   ZHU Zhimin3   LI Yongli2*  

1 Department of Radiology, People's Hospital of Zhengzhou University/Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Chronic Disease, Zhengzhou 450003, China

2 Department of Health Management, Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Chronic Disease, Zhengzhou 450003, China

3 Department of Radiology, the Second Hospital of Yulin, Yulin 719000, China

*Correspondence to: Li YL, E-mail: shyliyongli@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 82071884); Henan Province Medical Science and Technology Research Project (No. LHGJ20200060); Henan Province Middle-aged and Young Health Science and Technology Innovation Talents Training Project (No. YXKC2020004).
Received  2022-07-27
Accepted  2023-01-17
DOI: 10.12015/issn.1674-8034.2023.02.026
Cite this article as: WANG C Y, QI F, WU X L, et al. Research progress of rt-fMRI-NF regulating amygdala activity and improving mood disorders[J]. Chin J Magn Reson Imaging, 2023, 14(2): 149-152, 162. DOI:10.12015/issn.1674-8034.2023.02.026.

[1]
KLUMPP H, HOSSEINI B, PHAN K L. Self-Reported Sleep Quality Modulates Amygdala Resting-State Functional Connectivity in Anxiety and Depression[J/OL]. Front Psychiatry, 2018, 9: 220 [2022-07-27]. https://www.frontiersin.org/articles/10.3389/fpsyt.2018.00220/full. DOI: 10.3389/fpsyt.2018.00220.
[2]
ARNONE D. Functional MRI findings, pharmacological treatment in major depression and clinical response[J]. Prog Neuropsychopharmacol Biol Psychiatry, 2019, 91: 28-37. DOI: 10.1016/j.pnpbp.2018.08.004.
[3]
MATHIAK K, KELLER M. Clinical Application of Real-Time fMRI-Based Neurofeedback for Depression[J]. Adv Exp Med Biol, 2021, 1305: 275-293. DOI: 10.1007/978-981-33-6044-0_15.
[4]
THIBAULT R T, MACPHERSON A, LIFSHITZ M, et al. Neurofeedback with fMRI: a critical systematic review[J]. NeuroImage, 2018, 172: 786-807. DOI: 10.1016/j.neuroimage.2017.12.071.4.
[5]
ZHU Y, GAO H, TONG L, et al. Emotion regulation of hippocampus using real-time fMRI neurofeedback in healthy human[J/OL]. Front Hum Neurosci, 2019, 13: 242 [2022-07-27]. https://www.frontiersin.org/articles/10.3389/fnhum.2019.00242/full. DOI: 10.3389/fnhum.2019.00242.
[6]
COX R W, JESMANOWICZ A, HYDE J S. Real-time functional magnetic resonance imaging[J]. Magn Reson Med, 1995, 33(2) : 230-236. DOI: 10.1002/mrm.1910330213.
[7]
PINDI P, HOUENOU J, PIGUET C, et al. Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: A meta-analysis[J/OL]. Prog Neuropsychopharmacol Biol Psychiatry, 2022, 119: 110605 [2022-07-27]. https://www.sciencedirect.com/science/article/abs/pii/S0278584622000975?via%3Dihub. DOI: 10.1016/j.pnpbp.2022.110605.
[8]
KANEL D, AL-WASITY S, STEFANOV K, et al. Empathy to emotional voices and the use of real-time fMRI to enhance activation of the anterior insula[J]. Neuroimage, 2019, 198: 53-62. DOI: 10.1016/j.neuroimage.2019.05.021.
[9]
LORENZETTI V, MELO B, BASÍLIO R, et al. Emotion Regulation Using Virtual Environments and Real-Time fMRI Neurofeedback[J/OL]. Front Neurol, 2018, 9: 390 [2022-07-27]. https://www.frontiersin.org/articles/10.3389/fneur.2018.00390/full. DOI: 10.3389/fneur.2018.00390.
[10]
KIM D Y, TEGETHOFF M, MEINLSCHMIDT G, et al. Cigarette craving modulation is more feasible than resistance modulation for heavy cigarette smokers: empirical evidence from functional MRI data[J]. Neuroreport, 2021, 32(9): 762-770. DOI: 10.1097/WNR.0000000000001653.
[11]
KIM H C, TEGETHOFF M, MEINLSCHMIDT G, et al. Mediation analysis of triple networks revealed functional feature of mindfulness from real-time fMRI neurofeedback[J]. Neuroimage, 2019(195): 409-432. DOI: 10.1016/j.neuroimage.2019.03.066.
[12]
SERGERIE K, CHOCHOL C, ARMONY J L, et al. The role of the amygdala in emotional processing: a quantitative meta-analysis of functional neuroimaging studies[J]. Neurosci Biobehav Rev, 2008, 32(4): 811-830. DOI: 10.1016/j.neubiorev.2007.12.002.
[13]
BANKS S J, EDDY K T, ANGSTADT M, et al. Amygdala-frontal connectivity during emotion regulation[J]. Soc Cogn Affect Neurosci, 2007, 2: 303-312. DOI: 10.1093/scan/nsm029.
[14]
GOLDWAY N, JALON I, KEYNAN J N, et al. Feasibility and utility of amygdala neurofeedback[J/OL]. Neurosci Biobehav Rev, 2022, 138: 104694 [2022-07-27]. https://www.sciencedirect.com/science/article/abs/pii/S014976342200183X?via%3Dihub. DOI: 10.1016/j.neubiorev.2022.104694.
[15]
POSSE S, FITZGERALD D, GAO K, et al. Real-time fMRI of temporolimbic regions detects amygdala activation during single-trial self-induced sadness[J]. Neuroimage, 2003, 18(3): 760-768. DOI: 10.1016/s1053-8119(03)00004-1.
[16]
CHEN C H, LENNOX B, JACOB R, et al. Explicit and implicit facial affect recognition in manic and depressed States of bipolar disorder: a functional magnetic resonance imaging study[J]. Biol Psychiatry, 2006, 59(1): 31-39. DOI: 10.1016/j.biopsych.2005.06.008.
[17]
GAFFREY M S, BARCH D M, LUBY J L, Petersen SE, et al. Amygdala Functional Connectivity Is Associated With Emotion Regulation and Amygdala Reactivity in 4- to 6-Year-Olds[J]. Am Acad Child Adolesc Psychiatry, 2021, 60(1): 176-185. DOI: 10.1016/j.jaac.2020.01.024.
[18]
ZWEERINGS J, SARKHEIL P, KELLER M, et al. Rt-fMRI neurofeedback-guided cognitive reappraisal training modulates amygdala responsivity in posttraumatic stress disorder[J/OL]. Neuroimage Clin, 2020, 28: 102483 [2022-07-27]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689411/. DOI: 10.1016/j.nicl.2020.102483.
[19]
MELNIKOV M Y. The Current Evidence Levels for Biofeedback and Neurofeedback Interventions in Treating Depression: A Narrative Review[J]. Neural Plast., 2021, 2021: 8878857 [2022-07-27]. https://www.hindawi.com/journals/np/2021/8878857/. DOI: 10.1155/2021/8878857.
[20]
NICHOLSON A A, RABELLINO D, DENSMORE M, et al. The neurobiology of emotion regulation in posttraumatic stress disorder: Amygdala downregulation via real-time fMRI neurofeedback[J]. Hum Brain Mapp, 2017, 38(1): 541-560. DOI: 10.1002/hbm.23402.
[21]
ZHAO Z, YAO S, LI K, et al. Real-Time Functional Connectivity-Informed Neurofeedback of Amygdala-Frontal Pathways Reduces Anxiety[J]. Psychother Psychosom, 2019, 88(1): 5-15. DOI: 10.1159/000496057.
[22]
DECHARMS R C, MAEDA F, GLOVER G H, et al. Control over brain activation and pain learned by using real-time functional MRI[J]. Proc Natl Acad Sci U S A. 2005, 102(51): 18626-18631. DOI: 10.1073/pnas.0505210102.
[23]
CAO A A, NOLL D C. A retrospective physiological noise correction method for oscillating steady-state imaging[J]. Magn Reson Med, 2021, 85(2): 936-944. DOI: 10.1002/mrm.28414.
[24]
ZHANG X, ROSS T J, SALMERON B J, et al. Single subject task-related BOLD signal artifact in a real-time fMRI feedback paradigm[J]. Hum Brain Mapp, 2011, 32(4): 592-600. DOI: 10.1002/hbm.21046.
[25]
MAZIERO D, STENGER V A, CARMICHAEL D W. Unified Retrospective EEG Motion Educated Artefact Suppression for EEG-fMRI to Suppress Magnetic Field Gradient Artefacts During Motion[J]. Brain Topogr, 2021, 34(6): 745-761. DOI: 10.1007/s10548-021-00870-0.
[26]
WEISS F, ZAMOSCIK V, SCHMIDT S N L, et al. Just a very expensive breathing training? Risk of respiratory artefacts in functional connectivity-based real-time fMRI neurofeedback[J/OL]. Neuroimage, 2020, 210: 116580 [2022-07-27]. https://www.sciencedirect.com/science/article/pii/S1053811920300677?via%3Dihub. DOI: 10.1016/j.neuroimage.2020.116580.
[27]
HAUGG A, SLADKY R, SKOURAS S, et al. Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?. Hum Brain Mapp, 2020, 41(14): 3839-3854. DOI: 10.1002/hbm.25089.
[28]
OBLAK E F, LEWIS-PEACOCK J A, SULZER J S. Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment[J/OL]. PLoS Comput Biol, 2017, 13(7): e1005681 [2022-07-27]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550007/. DOI: 10.1371/journal.pcbi.1005681.
[29]
JOHNSON K A, HARTWELL K, LEMATTY T, et al. Intermittent "real-time" fMRI feedback is superior to continuous presentation for a motor imagery task: a pilot study[J]. Neuroimaging, 2012, 22(1): 58-66. DOI: 10.1111/j.1552-6569.2010.00529.x.
[30]
EMMERT K, KOPEL R, KOUSH Y, et al. Continuous vs. intermittent neurofeedback to regulate auditory cortex activity of tinnitus patients using real-time fMRI-A pilot study[J]. Neuroimage Clin, 2017, 14: 97-104. DOI: 10.1016/j.nicl.2016.12.023.
[31]
HELLRUNG L, DIETRICH A, HOLLMANN M, et al. Intermittent compared to continuous real-time fMRI neurofeedback boosts control over amygdala activation[J]. Neuroimage, 2018, 166: 198-208. DOI: 10.1016/j.neuroimage.2017.10.031.
[32]
OCHSNER K N, SILVERS J A, BUHLE J T, et al. Functional imaging studies of emotion regulation: a synthetic review and evolving model of the cognitive control of emotion[J/OL]. Ann N Y Acad Sci, 2012, 1251: E1-E24. https://pubmed.ncbi.nlm.nih.gov/23025352/. DOI: 10.1111/j.1749-6632.2012.06751.x.
[33]
HERWIG U, LUTZ J, SCHERPIET S, et al. Training emotion regulation through real-time fMRI neurofeedback of amygdala activity[J]. Neuroimage, 2019, 184: 687-696. DOI: 10.1016/j.neuroimage.2018.09.068.
[34]
PARET C, KLUETSCH R, RUF M, et al. Down-regulation of amygdala activation with real-time fMRI neurofeedback in a healthy female sample[J/OL]. Front Behav Neurosci, 2014, 8: 299 [2022-07-27]. https://www.frontiersin.org/articles/10.3389/fnbeh.2014.00299/full. DOI: 10.3389/fnbeh.2014.00299.
[35]
YOUNG K D, VADIM Z, RAQUEL P, et al. Real-Time fMRI Neurofeedback Training of Amygdala Activity in Patients with Major Depressive Disorder[J/OL]. Plos One, 2014, 9(2): e88785 [2022-07-27]. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0088785.
[36]
YOUNG K D, SIEGLE G J, ZOTEV V, et al. Randomized Clinical Trial of Real-Time fMRI Amygdala Neurofeedback for Major Depressive Disorder: Effects on Symptoms and Autobiographical Memory Recall[J]. Am J Psychiatry, 2017, 174(8): 748-755. DOI: 10.1176/appi.ajp.2017.16060637.
[37]
WU X L. The mechanism of improving insomnia disorder by regulating amygdala activity based on rtfMRI-NF[D]. Zhengzhou: Zhengzhou University, 2020. DOI: 10.27466/d.cnki.gzzdu.2020.003213.
[38]
MICHAEL M, JACOB M J, MÜLLER D K, et al. Amygdala Regulation Following fMRI-Neurofeedback without Instructed Strategies[J/OL]. Front Hum Neurosci, 2016, 10: 183 [2022-07-27]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4844623/. DOI: 10.3389/fnhum.2016.00183.
[39]
ZILVERSTAND A, SORGER B, SARKHEIL P, et al. fMRI neurofeedback facilitates anxiety regulation in females with spider phobia[J/OL]. Front Behav Neurosci, 2015, 9: 148 [2022-07-27]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458693/. DOI: 10.3389/fnbeh.2015.00148.
[40]
HIRSCH C R, KRAHÉ C, WHYTE J, et al. Effects of modifying interpretation bias on transdiagnostic repetitive negative thinking[J]. Consult Clin Psychol, 2020, 88(3): 226-239. DOI: 10.1037/ccp0000455.
[41]
BLACKWELL S E, BROWNING M, MATHEWS A, et al. Positive Imagery-Based Cognitive Bias Modification as a Web-Based Treatment Tool for Depressed Adults: A Randomized Controlled Trial[J/OL]. Clin Psychol Sci, 2015, 3(1): 91 [2022-07-27]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359210/. DOI: 10.1177/2167702614560746.
[42]
KÖHLER C A, CARVALHO A F, ALVES G S, et al. Autobiographical Memory Disturbances in Depression: A Novel Therapeutic Target?[J/OL]. Neural Plast, 2015, 2015: 759139 [2022-07-27]. https://www.hindawi.com/journals/np/2015/759139/. DOI: 10.1155/2015/759139.
[43]
LI X, LI Z, ZOU Z, et al. Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study[J/OL]. Front Mol Neurosci, 2022, 15: 825286 [2022-07-27]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904428/. DOI: 10.3389/fnmol.2022.825286.
[44]
LI Z, LIU J, CHEN B, et al. Improved Regional Homogeneity in Chronic Insomnia Disorder After Amygdala-Based Real-Time fMRI Neurofeedback Training[J/OL]. Front Psychiatry, 2022, 13: 863056 [2022-07-27]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279663/. DOI: 10.3389/fpsyt.2022.863056.
[45]
MORGENROTH E, SAVIOLA F, GILLEEN J, et al. Using connectivity-based real-time fMRI neurofeedback to modulate attentional and resting state networks in people with high trait anxiety[J/OL]. Neuroimage Clin, 2020, 25: 102191 [2022-07-27]. https://www.sciencedirect.com/science/article/pii/S2213158220300280?via%3Dihub. DOI: 10.1016/j.nicl.2020.102191.
[46]
ZOTEV V, PHILLIPS R, MISAKI M, et al. Real-time fMRI neurofeedback training of the amygdala activity with simultaneous EEG in veterans with combat-related PTSD[J]. NeuroImage Clin, 2018, 19: 106-121. DOI: 10.1016/j.nicl.2018.04.010.
[47]
MISAKI M, MULYANA B, ZOTEV V, et al. Hippocampal volume recovery with real-time functional MRI amygdala neurofeedback emotional training for posttraumatic stress disorder[J]. Affect Disord, 2021, 283: 229-235. DOI: 10.1016/j.jad.2021.01.058.

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