Targeting the affective brain-a randomized controlled trial of real-time fMRI neurofeedback in patients with depression

David M A Mehler, Moses O Sokunbi, Isabelle Habes, Kali Barawi, Leena Subramanian, Maxence Range, John Evans, Kerenza Hood, Michael Lührs, Paul Keedwell, Rainer Goebel, David E J Linden, David M A Mehler, Moses O Sokunbi, Isabelle Habes, Kali Barawi, Leena Subramanian, Maxence Range, John Evans, Kerenza Hood, Michael Lührs, Paul Keedwell, Rainer Goebel, David E J Linden

Abstract

Functional magnetic resonance imaging neurofeedback (fMRI-NF) training of areas involved in emotion processing can reduce depressive symptoms by over 40% on the Hamilton Depression Rating Scale (HDRS). However, it remains unclear if this efficacy is specific to feedback from emotion-regulating regions. We tested in a single-blind, randomized, controlled trial if upregulation of emotion areas (NFE) yields superior efficacy compared to upregulation of a control region activated by visual scenes (NFS). Forty-three moderately to severely depressed medicated patients were randomly assigned to five sessions augmentation treatment of either NFE or NFS training. At primary outcome (week 12) no significant group mean HDRS difference was found (B = -0.415 [95% CI -4.847 to 4.016], p = 0.848) for the 32 completers (16 per group). However, across groups depressive symptoms decreased by 43%, and 38% of patients remitted. These improvements lasted until follow-up (week 18). Both groups upregulated target regions to a similar extent. Further, clinical improvement was correlated with an increase in self-efficacy scores. However, the interpretation of clinical improvements remains limited due to lack of a sham-control group. We thus surveyed effects reported for accepted augmentation therapies in depression. Data indicated that our findings exceed expected regression to the mean and placebo effects that have been reported for drug trials and other sham-controlled high-technology interventions. Taken together, we suggest that the experience of successful self-regulation during fMRI-NF training may be therapeutic. We conclude that if fMRI-NF is effective for depression, self-regulation training of higher visual areas may provide an effective alternative.

Conflict of interest statement

RG is CEO and ML is an employee of Brain Innovation B.V., the company that makes the Turbo-Brainvoyager software used for the real-time fMRI analyses. The remaining authors declare no competing interests.

Figures

Fig. 1
Fig. 1
CONSORT diagram of clinical trial
Fig. 2
Fig. 2
Main clinical outcome measure HDRS-17 for NFE and NFS groups at baseline, post-intervention, and follow up. a Mean and standard error of the mean (SEM) HDRS scores, b remission rate in %age based on HDRS, c Robust regression analysis between change in total self-efficacy scores, and residualized HDRS-17 scores at primary endpoint. *p < 0.05
Fig. 3
Fig. 3
ROI analysis. Average t-value of target ROIs for each session. Pooled mean shown, as well as means for both groups with error bars showing standard error of the mean (SEM). *p < 0.05 at FDR correction
Fig. 4
Fig. 4
Whole-brain analysis. a Probability map (PM) of the localizer. b Activity of intervention groups, shown separately for NF-emotion and NF-scene group. c Group contrast. Key areas are labeled with numbers: (1) Insular cortex/ ventrolateral prefrontal cortex, (2) parahippocampal Place area (PPA), (3) supplementary motor area, (4) lingual gyrus, (5) premotor cortex, (6) superior parietal lobule, and (7) ventrolateral prefrontal cortex. Statistical maps cluster-threshold corrected for multiple comparison (p < 0.001)

References

    1. World Health Organization. Depression and other common mental disorders: global health estimates. Geneva: World Health Organization; 2017.
    1. Holtzheimer PE, Husain MM, Lisanby SH, Taylor SF, Whitworth LA, Mcclintock S et al. Subcallosal cingulate deep brain stimulation for treatment-resistant depression: a multisite, randomised, sham-controlled trial. Lancet Psychiatry. 2017;366:839–49.
    1. Arns M, Batail JM, Bioulac S, Congedo M, Daudet C, Drapier D, et al. Neurofeedback: one of today’s techniques in psychiatry? Encephale. 2017;43:135–45. doi: 10.1016/j.encep.2016.11.003.
    1. Sitaram R, Ros T, Stoeckel L, Haller S, Scharnowski F, Lewis-Peacock J, et al. Closed-loop brain training: the science of neurofeedback. Nat Rev Neurosci. 2017;18:86–100. doi: 10.1038/nrn.2016.164.
    1. Sulzer J, Haller S, Scharnowski F, Weiskopf N, Birbaumer N, Bruehl AB, et al. Real-time fMRI neurofeedback: progress and challenges. Neuroimage. 2013;76:386–99. doi: 10.1016/j.neuroimage.2013.03.033.
    1. Holmes EA, Blackwell SE, Burnett Heyes S, Renner F, Raes F. Mental imagery in depression: phenomenology, potential mechanisms, and treatment implications. Annu Rev Clin Psychol. 2016;12:249–80. doi: 10.1146/annurev-clinpsy-021815-092925.
    1. Linden D, Habes I, Johnston S, Linden S. Real-time self-regulation of emotion networks in patients with depression. PLoS ONE. 2012;7:e38115. doi: 10.1371/journal.pone.0038115.
    1. Young KD, Siegle GJ, Zotev V, Phillips R, Misaki M, Yuan H, et al. Randomized clinical trial of real-time fMRI amygdala neurofeedback for major depressive disorder: effects on symptoms and autobiographical memory recall. Am J Psychiatry. 2017;174:748–55. doi: 10.1176/appi.ajp.2017.16060637.
    1. Habes I, Rushton S, Johnston SJ, Sokunbi MO, Barawi K, Brosnan M, et al. fMRI neurofeedback of higher visual areas and perceptual biases. Neuropsychologia. 2016;85:208–15. doi: 10.1016/j.neuropsychologia.2016.03.031.
    1. Hamilton M. Rating depressive patients. J Clin Psychiatry. 1980; 41:21–4
    1. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–70. doi: 10.1111/j.1600-0447.1983.tb09716.x.
    1. Flanagan JC. Measurement of quality of life: current state of the art. Arch Phys Med Rehabil. 1982;63:56–9.
    1. Luciano JV, Algarabel S, Tomás JM, Martínez JL. Development and validation of the thought control ability questionnaire. Pers Individ Dif. 2005;38:997–1008. doi: 10.1016/j.paid.2004.06.020.
    1. Wells A, Davies MI. The Thought Control Questionnaire: a measure of individual differences in the control of unwanted thoughts. Behav Res Ther. 1994;32:871–8. doi: 10.1016/0005-7967(94)90168-6.
    1. Sherer M, Maddux JE, Mercandante B, Prentice-Dunn S, Jacobs B, Rogers RW. The Self-Efficacy Scale: construction and validation. Psychol Rep. 1982;51:663–71. doi: 10.2466/pr0.1982.51.2.663.
    1. Carver CS, White TL. Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment. J Pers Soc Psychol. 1994;67:319–333.
    1. Janssen CW, Lowry CA, Mehl MR, Allen JJB, Kelly KL, Gartner DE, et al. Whole-body hyperthermia for the treatment of major depressive disorder. JAMA Psychiatry. 2016;5:1580.
    1. Murphy K, Birn RM, Bandettini PA. Resting-state fMRI confounds and cleanup. Neuroimage. 2013;80:349–59. doi: 10.1016/j.neuroimage.2013.04.001.
    1. Phillips ML, Ladouceur CD, Drevets WC. A neural model of voluntary and automatic emotion regulation: implications for understanding the pathophysiology and neurodevelopment of bipolar disorder. Mol Psychiatry. 2008;13:833–57. doi: 10.1038/mp.2008.65.
    1. Mikels JA, Fredrickson BL, Larkin GR, Lindberg CM, Maglio SJ, Reuter-Lorenz PA. Emotional category data on images from the international affective picture system. Behav Res Methods. 2005;37:626–30. doi: 10.3758/BF03192732.
    1. Epstein R, Graham KS, Downing PE. Viewpoint-specific scene representations in human parahippocampal cortex. Neuron. 2003;37:865–76. doi: 10.1016/S0896-6273(03)00117-X.
    1. Epstein R, Kanwisher N. A cortical representation of the local visual environment. Nature. 1998; 392:598–601.
    1. O’Craven KM, Kanwisher N. Mental imagery of faces and places activates corresponding stimulus-specific brain regions. J Cogn Neurosci. 2000;12:1013–23. doi: 10.1162/08989290051137549.
    1. Canty A, Ripley B. boot: Bootstrap R (S-Plus) Functions. R package version 1.3-20. Vienna, Austria: R Foundation for Statistical Computing; 2017.
    1. Benjamini Y, Yekutieli D. The control of the false discovery rate in multiple testing under dependency. Ann Stat. 2001;29:1165–88. doi: 10.1214/aos/1013699998.
    1. Lakens D. Equivalence tests - a practical primer for t tests, correlations, and meta-analyses. Soc Psychol Personal Sci. 2017;8:355–62. doi: 10.1177/1948550617697177.
    1. Bandura A. Self-efficacy mechanism in human agency. Dev Psychol. 1982;37:122–47.
    1. Rousseeuw PJ, Leroy AM. Robust regression and outlier detection. New york, NY:Wiley. 1987.
    1. Buhle JT, Silvers JA, Wager TD, Lopez R, Onyemekwu C, Kober H, et al. Cognitive reappraisal of emotion: a meta-analysis of human neuroimaging studies. Cereb Cortex. 2014;24:2981–90. doi: 10.1093/cercor/bht154.
    1. Zilverstand A, Parvaz MA, Goldstein RZ. Neuroimaging cognitive reappraisal in clinical populations to define neural targets for enhancing emotion regulation. A systematic review. Neuroimage. 2017;151:105–16. doi: 10.1016/j.neuroimage.2016.06.009.
    1. De Borst AW, Sack AT, Jansma BM, Esposito F, De Martino F, Valente G, et al. Integration of “what” and “where” in frontal cortex during visual imagery of scenes. Neuroimage. 2012;60:47–58. doi: 10.1016/j.neuroimage.2011.12.005.
    1. Chang LJ, Yarkoni T, Khaw MW, Sanfey AG. Decoding the role of the insula in human cognition: functional parcellation and large-scale reverse inference. Cereb Cortex. 2013;23:739–49. doi: 10.1093/cercor/bhs065.
    1. Langner R, Leiberg S, Hoffstaedter F, Eickhoff SB. Towards a human self-regulation system: common and distinct neural signatures of emotional and behavioural control. Neurosci Biobehav Rev. 2018. 10.1016/j.neubiorev.2018.04.022.
    1. Paulus MP, Stein MB. Interoception in anxiety and depression. Brain Struct Funct. 2010;214:451–63. doi: 10.1007/s00429-010-0258-9.
    1. Linden D. Neurofeedback and networks of depression. Dialog Clin Neurosci. 2014;16:103–12.
    1. Maciejewski PK, Prigerson HG, Mazure CM. Self-efficacy as a mediator between stressful life events and depressive symptoms. Br J Psychiatry. 2000;176:373–78. doi: 10.1192/bjp.176.4.373.
    1. Minnix JA, Blalock JA, Marani S, Prokhorov AV, Cinciripini PM. Self-efficacy mediates the effect of depression on smoking susceptibility in adolescents. Nicotine Tob Res. 2011;13:699–705. doi: 10.1093/ntr/ntr061.
    1. Rance M, Walsh C, Sukhodolsky DG, Pittman B, Qiu M, Kichuk SA, et al. Time course of clinical change following neurofeedback. Neuroimage. 2018 doi: 10.1016/j.neuroimage.2018.05.001.
    1. Golding K, Fife-Schaw C, Kneebone I. Twelve month follow-up on a randomised controlled trial of relaxation training for post-stroke anxiety. Clin Rehabil. 2017;31:1164–67. doi: 10.1177/0269215516682820.
    1. Bowers WA. Treatment of depressed in-patients. Cognitive therapy plus medication, relaxation plus medication and medication alone. Br J Psychiatry. 1990;156:73–8. doi: 10.1192/bjp.156.1.73.
    1. Qids S, Qids-c CR, Rush aJ, Trivedi MH, Ibrahim HM, Carmody TJ, et al. The 16-Item quick inventory of depressive. Depression. 2003;54:573–83.
    1. Keller MB, Lavori PW, Mueller TI, Endicott J, Coryell W, Hirschfeld RMA, et al. Time to recovery, chronicity, and levels of psychopathology in major depression. Arch Gen Psychiatry. 1992;49:809. doi: 10.1001/archpsyc.1992.01820100053010.
    1. Rush AJ, Trivedi MH, Wisniewski SR, Nierenberg AA, Stewart JW, Warden D, et al. Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report. Am J Psychiatry. 2006;163:1905–17. doi: 10.1176/ajp.2006.163.11.1905.
    1. Fournier JJC, Derubeis RRJ, Hollon SD, Shelton RC, Fawcett J. Antidepressant drug effects and depression severity. JAMA J Am Med Assoc. 2010;303:47–53. doi: 10.1001/jama.2009.1943.
    1. Meister R, Jansen A, Härter M, Nestoriuc Y, Kriston L. Placebo and nocebo reactions in randomized trials of pharmacological treatments for persistent depressive disorder. A meta-regression analysis. J Affect Disord. 2017;215:288–98. doi: 10.1016/j.jad.2017.03.024.
    1. Price DD, Finniss DG, Benedetti F. A comprehensive review of the placebo effect: recent advances and current thought. Annu Rev Psychol. 2008;59:565–90. doi: 10.1146/annurev.psych.59.113006.095941.
    1. Berlim MT, Van Den Eynde F, Jeff Daskalakis Z. Clinically meaningful efficacy and acceptability of low-frequency repetitive transcranial magnetic stimulation (rTMS) for treating primary major depression: a meta-analysis of randomized, double-blind and sham-controlled trials. Neuropsychopharmacology. 2013;38:543–51. doi: 10.1038/npp.2012.237.
    1. Berlim MT, Van Den Eynde F, Tovar-Perdomo S, Daskalakis ZJ. Response, remission and drop-out rates following high-frequency repetitive transcranial magnetic stimulation (rTMS) for treating major depression: a systematic review and meta-analysis of randomized, double-blind and sham-controlled trials. Psychol Med. 2014;44:225–39. doi: 10.1017/S0033291713000512.
    1. Choi SW, Chi SE, Chung SY, Kim JW, Ahn CY, Kim HT. Is alpha wave neurofeedback effective with randomized clinical trials in depression? A pilot study. Neuropsychobiology. 2010;63:43–51. doi: 10.1159/000322290.
    1. Cheon EJ, Koo BH, Choi JH. The efficacy of neurofeedback in patients with major depressive disorder: an Open Labeled Prospective Study. Appl Psychophysiol Biofeedback. 2016;41:103–110. doi: 10.1007/s10484-015-9315-8.
    1. Keynan JN, Meir-Hasson Y, Gilam G, Cohen A, Jackont G, Kinreich S, et al. Limbic activity modulation guided by functional magnetic resonance imaging–inspired electroencephalography improves implicit emotion regulation. Biol Psychiatry. 2016;80:490–96. doi: 10.1016/j.biopsych.2015.12.024.
    1. Thibault RT, Lifshitz M, Raz A. The self-regulating brain and neurofeedback: experimental science and clinical promise. Cortex. 2016;74:247–61. doi: 10.1016/j.cortex.2015.10.024.

Source: PubMed

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