Blame-rebalance fMRI neurofeedback in major depressive disorder: A randomised proof-of-concept trial

Roland Zahn, Julie H Weingartner, Rodrigo Basilio, Patricia Bado, Paulo Mattos, João R Sato, Ricardo de Oliveira-Souza, Leo F Fontenelle, Allan H Young, Jorge Moll, Roland Zahn, Julie H Weingartner, Rodrigo Basilio, Patricia Bado, Paulo Mattos, João R Sato, Ricardo de Oliveira-Souza, Leo F Fontenelle, Allan H Young, Jorge Moll

Abstract

Previously, using fMRI, we demonstrated lower connectivity between right anterior superior temporal (ATL) and anterior subgenual cingulate (SCC) regions while patients with major depressive disorder (MDD) experience guilt. This neural signature was detected despite symptomatic remission which suggested a putative role in vulnerability. This randomised controlled double-blind parallel group clinical trial investigated whether patients with MDD are able to voluntarily modulate this neural signature. To this end, we developed a fMRI neurofeedback software (FRIEND), which measures ATL-SCC coupling and displays its levels in real time. Twenty-eight patients with remitted MDD were randomised to two groups, each receiving one session of fMRI neurofeedback whilst retrieving guilt and indignation/anger-related autobiographical memories. They were instructed to feel the emotion whilst trying to increase the level of a thermometer-like display on a screen. Active intervention group: The thermometer levels increased with increasing levels of ATL-SCC correlations in the guilt condition. Control intervention group: The thermometer levels decreased when correlation levels deviated from the previous baseline level in the guilt condition, thus reinforcing stable correlations. Both groups also received feedback during the indignation condition reinforcing stable correlations. We confirmed our predictions that patients in the active intervention group were indeed able to increase levels of ATL-SCC correlations for guilt vs. indignation and their self-esteem after training compared to before training and that this differed significantly from the control intervention group. These data provide proof-of-concept for a novel treatment target for MDD patients and are in keeping with the hypothesis that ATL-SCC connectivity plays a key role in self-worth. https://ichgcp.net/clinical-trials-registry/NCT01920490.

Keywords: Anger; Anterior temporal lobe; Clinical trial; Guilt; Major depressive disorder; Real-time fMRI; Self-esteem; Subgenual cingulate cortex; fMRI neurofeedback.

Conflict of interest statement

RZ: Lundbeck-sponsored presentation on neurofeedback, co-investigator Livanova-funded study; Industry advice via Guidepoint Global; Industry collaborations with EMIS PLC and Alloc Modulo LTD. Private Clinical Practice at The London Depression Institute. AHY: Paid lectures and advisory boards for the following companies with drugs used in affective and related disorders: Astrazenaca, Eli Lilly, Lundbeck, Sunovion, Servier, Livanova, Janssen; Consultant to Johnson & Johnson; Lead Investigator for Embolden Study (AZ), BCI Neuroplasticity study and Aripiprazole Mania Study; Investigator initiated studies from AZ, Eli Lilly, Lundbeck, Wyeth, Janssen. JM: Shareholder of Rede D'Or hospitals (Brazil) and a managing partner of VHM LLC. (US). All these interests are unrelated to the study. The other authors have no conflicts of interest to declare.

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Figures

Fig. 1|
Fig. 1|
Panel a&b) Thermometer-like displays were used for visual feedback. Participants were instructed to increase the level of the colour bar (a: low level, b: high level) while thinking about the autobiographical memory related to the cue word. Panel c) & d) Displayed are the a priori anatomical regions of interest (ROI) used for extracting signal for neurofeedback training (c: ATL, d: SCC). As only the 10% most activated voxels were used for training in each subject, there was individual variability as to the sub-regions of the smoothed ROIs used for training. Colour-coded overlays indicate for how many participants a given voxel was included in their individualized ROI. Panel e) & f) Displayed are SCC voxels (Sagittal slices MNI z = −4 in e), −1 in f)) included in the training ROI for at least 4 participants overlaid with the unsmoothed anterior subgenual cingulate ROI in blue underpinning the design of this study in which we previously demonstrated self-blame-selective hypo-connectivity(Green et al., 2012) and in red the more posterior inferior subgenual cortex cluster showing self-blame-selective hyper-connectivity in remitted MDD who develop another episode in the next year in a later paper(Lythe et al., 2015). Panel g) This bar chart compares the intervention groups on neurofeedback training effects (Cohen's D for post- vs pre-training differences) in ATL-SCC connectivity for guilt vs. indignation (measured by using standardised regression coefficients). As shown in Table 2, there was a significant difference between groups in the expected direction such that connectivity for guilt vs. indignation increased with training in the active intervention group, but slightly decreased in the control intervention group. Supplementary Fig. 7 shows the individual variability in correlations during neurofeedback.

References

    1. Abramson L.Y., Seligman M.E., Teasdale J.D. Learned helplessness in humans: critique and reformulation. J. Abnorm. Psychol. 1978;87:49–74.
    1. Bado P., Engel A., de Oliveira-Souza R., Bramati I.E., Paiva F.F., Basilio R., Sato J.R., Tovar-Moll F., Moll J. Functional dissociation of ventral frontal and dorsomedial default mode network components during resting state and emotional autobiographical recall. Hum. Brain Mapp. 2014;35:3302–3313.
    1. Basilio R., Garrido G.J., Sato J.R., Hoefle S., Melo B.R., Pamplona F.A., Zahn R., Moll J. FRIEND engine framework: a real time neurofeedback client-server system for neuroimaging studies. Front. Behav. Neurosci. 2015;9:3.
    1. Beck A.T., Rush A.J., Shaw B.F., Emery G. Guilford Press; 1979. Cognitive Therapy of Depression.
    1. Beck A.T., Steer R.A., Carbin M.G. Psychometric properties of the Beck depression inventory: twenty-five years of evaluation. Clin. Psychol. Rev. 1988;8:77–100.
    1. Cohen J. Lawrence Erlbaum Associates; New York: 1988. Statistical Power Analysis for the Behavioral Sciences.
    1. Drevets W.C., Savitz J. The subgenual anterior cingulate cortex in mood disorders. CNS Spectr. 2008;13:663–681.
    1. Dunlop B.W., Rajendra J.K., Craighead W.E., Kelley M.E., McGrath C.L., Choi K.S., Kinkead B., Nemeroff C.B., Mayberg H.S. Functional connectivity of the subcallosal cingulate cortex and differential outcomes to treatment with cognitive-behavioral therapy or antidepressant medication for major depressive disorder. Am. J. Psychiatr. 2017;174:533–545.
    1. Eaton W.W., Shao H., Nestadt G., Lee H.B., Bienvenu O.J., Zandi P. Population-based study of first onset and chronicity in major depressive disorder. Arch. Gen. Psychiatry. 2008;65:513–520.
    1. Fu C.H., Steiner H., Costafreda S.G. Predictive neural biomarkers of clinical response in depression: a meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies. Neurobiol. Dis. 2013;52:75–83.
    1. Gethin J.A., Lythe K.E., Workman C.I., Mayes A., Moll J., Zahn R. Early life stress explains reduced positive memory biases in remitted depression. Eur. Psychiatry. 2017;45:59–64.
    1. Green S., Lambon Ralph M.A., Moll J., Stamatakis E.A., Grafman J., Zahn R. Selective functional integration between anterior temporal and distinct fronto-mesolimbic regions during guilt and indignation. Neuroimage. 2010;52:1720–1726.
    1. Green S., Lambon Ralph M.A., Moll J., Deakin J.F., Zahn R. Guilt-selective functional disconnection of anterior temporal and subgenual cortices in major depressive disorder. Arch. Gen. Psychiatry. 2012;69:1014–1021.
    1. Green S., Lambon Ralph M.A., Moll J., Zakrzewski J., Deakin J.F., Grafman J., Zahn R. The neural basis of conceptual-emotional integration and its role in major depressive disorder. Soc. Neurosci. 2013;8:417–433.
    1. Hamilton M. A rating scale for depression. J. Neurol. Neurosurg. Psychiatry. 1960;23:56–62.
    1. Hamilton J.P., Glover G.H., Bagarinao E., Chang C., Mackey S., Sacchet M.D., Gotlib I.H. Effects of salience-network-node neurofeedback training on affective biases in major depressive disorder. Psychiatry Res. Neuroimaging. 2016;249:91–96.
    1. Lecrubier Y., Sheehan D.V., Weiller E., Amorim P., Bonora I., Sheehan K.H., Janavs J., Dunbar G.C. The MINI international neuropsychiatric interview (MINI). A short diagnostic structured interview: reliability and validity according to the CIDI. Eur. Psychiatry. 1997;12:224–231.
    1. Linden D.E., Habes I., Johnston S.J., Linden S., Tatineni R., Subramanian L., Sorger B., Healy D., Goebel R. Real-time self-regulation of emotion networks in patients with depression. PLoS ONE. 2012;7
    1. Lythe K.E., Moll J., Gethin J.A., Workman C.I., Green S., Lambon Ralph M.A., Deakin J.F., Zahn R. Self-blame-selective hyperconnectivity between anterior temporal and subgenual cortices and prediction of recurrent depressive episodes. JAMA Psychiatry. 2015;72:1119–1126.
    1. Mehler D.M.A., Kording K.P. 2018. The Lure of Causal Statements: Rampant Mis-Inference of Causality in Estimated Connectivity.
    1. Mehler D.M.A., Sokunbi M.O., Habes I., Barawi K., Subramanian L., Range M., Evans J., Hood K., Luhrs M., Keedwell P., Goebel R., Linden D.E.J. Targeting the affective brain-a randomized controlled trial of real-time fMRI neurofeedback in patients with depression. Neuropsychopharmacology. 2018;0:1–8.
    1. Moll J., Weingartner J.H., Bado P., Basilio R., Sato J.R., Melo B.R., Bramati I.E., de Oliveira-Souza R., Zahn R. Voluntary enhancement of neural signatures of affiliative emotion using FMRI neurofeedback. PLoS ONE. 2014;9
    1. O'Connor L.E., Berry J.W., Weiss J., Bush M., Sampson H. Interpersonal guilt: the development of a new measure. J. Clin. Psychol. 1997;53:73–89.
    1. O'Connor L.E., Berry J.W., Weiss J., Gilbert P. Guilt, fear, submission, and empathy in depression. J. Affect. Disord. 2002;71:19–27.
    1. Pobric G., Lambon Ralph M.A., Zahn R. Hemispheric specialization within the superior anterior temporal cortex for social and nonsocial concepts. J. Cogn. Neurosci. 2016;28:351–360.
    1. Price J.L., Drevets W.C. Neurocircuitry of mood disorders. Neuropsychopharmacology. 2010;35:192–216.
    1. Ressler K.J., Mayberg H.S. Targeting abnormal neural circuits in mood and anxiety disorders: from the laboratory to the clinic. Nat. Neurosci. 2007;10:1116–1124.
    1. Roberts C., Torgerson D. Randomisation methods in controlled trials. BMJ. 1998;317:1301–1310.
    1. Rosenberg M. Wesley University Press; Middleton, CT: 1989. Society and the Adolescent Self-Image.
    1. Rosenthal R., Rosnow R.L. 2nd ed. McGraw Hill; New York: 1991. Essentials of Behavioral Research: Methods and Data Analysis.
    1. Sato J.R., Basilio R., Paiva F.F., Garrido G.J., Bramati I.E., Bado P., Tovar-Moll F., Zahn R., Moll J. Real-time fMRI pattern decoding and neurofeedback using FRIEND: an FSL-integrated BCI toolbox. PLoS ONE. 2013;8
    1. Siegle G.J., Carter C.S., Thase M.E. Use of FMRI to predict recovery from unipolar depression with cognitive behavior therapy. Am. J. Psychiatr. 2006;163:735–738.
    1. Sitaram R., Ros T., Stoeckel L., Haller S., Scharnowski F., Lewis-Peacock J., Weiskopf N., Blefari M.L., Rana M., Oblak E., Birbaumer N., Sulzer J. Closed-loop brain training: the science of neurofeedback. Nat. Rev. Neurosci. 2017;18:86–100.
    1. Stevens J. 5th ed. Routledge, Taylor & Francis Group; New York: 2009. Applied Multivariate Statistics for the Social Sciences.
    1. Watson D., Clark L.A., Carey G. Positive and negative affectivity and their relation to anxiety and depressive-disorders. J. Abnorm. Psychol. 1988;97:346–353.
    1. Watson D., Clark L.A., Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J. Pers. Soc. Psychol. 1988;54:1063–1070.
    1. Young K.D., Zotev V., Phillips R., Misaki M., Yuan H., Drevets W.C., Bodurka J. Real-time FMRI neurofeedback training of amygdala activity in patients with major depressive disorder. PLoS ONE. 2014;9
    1. Young K.D., Siegle G.J., Zotev V., Phillips R., Misaki M., Yuan H., Drevets W.C., Bodurka J. Randomized clinical trial of real-time fMRI amygdala neurofeedback for major depressive disorder: effects on symptoms and autobiographical memory recall. Am. J. Psychiatr. 2017;174:748–755.
    1. Zahn R., Moll J., Krueger F., Huey E.D., Garrido G., Grafman J. Social concepts are represented in the superior anterior temporal cortex. Proc. Natl. Acad. Sci. U. S. A. 2007;104:6430–6435.
    1. Zahn R., Moll J., Iyengar V., Huey E.D., Tierney M., Krueger F., Grafman J. Social conceptual impairments in frontotemporal lobar degeneration with right anterior temporal hypometabolism. Brain. 2009;132:604–616.
    1. Zahn R., Moll J., Paiva M., Garrido G., Krueger F., Huey E.D., Grafman J. The neural basis of human social values: evidence from functional MRI. Cereb. Cortex. 2009;19:276–283.
    1. Zahn R., Lythe K.E., Gethin J.A., Green S., Deakin J.F., Workman C., Moll J. Negative emotions towards others are diminished in remitted major depression. Eur. Psychiatry. 2015;30:448–453.
    1. Zahn R., Lythe K.E., Gethin J.A., Green S., Deakin J.F., Young A.H., Moll J. The role of self-blame and worthlessness in the psychopathology of major depressive disorder. J. Affect. Disord. 2015;186:337–341.

Source: PubMed

3
Tilaa