Early changes in neural circuit function engaged by negative emotion and modified by behavioural intervention are associated with depression and problem-solving outcomes: A report from the ENGAGE randomized controlled trial

Andrea N Goldstein-Piekarski, Joseph Wielgosz, Lan Xiao, Patrick Stetz, Carlos G Correa, Sarah E Chang, Nan Lv, Lisa G Rosas, Philip W Lavori, Mark B Snowden, Elizabeth M Venditti, Janine M Simmons, Joshua M Smyth, Trisha Suppes, Megan A Lewis, Olusola Ajilore, Jun Ma, Leanne M Williams, Andrea N Goldstein-Piekarski, Joseph Wielgosz, Lan Xiao, Patrick Stetz, Carlos G Correa, Sarah E Chang, Nan Lv, Lisa G Rosas, Philip W Lavori, Mark B Snowden, Elizabeth M Venditti, Janine M Simmons, Joshua M Smyth, Trisha Suppes, Megan A Lewis, Olusola Ajilore, Jun Ma, Leanne M Williams

Abstract

Background: Depression exerts a staggering toll that is worsened with co-occurring chronic conditions such as obesity. It is imperative to develop more effective interventions for depression and to identify objective and biological plausible neural mechanisms to understand intervention outcomes. The current study uses functional neuroimaging to determine whether a behavioural intervention changes the negative affect circuit and whether these changes relate to subsequent improvements in both symptom and problem-solving outcomes in depressed patients with co-occurring obesity.

Methods: This study ('ENGAGE') was a pre-planned element of the randomized controlled trial, 'RAINBOW' (ClinicalTrials.gov NCT02246413). 108 depressed patients with obesity were randomized to receive an integrated collaborative care intervention (I-CARE) or usual care. Participants underwent functional neuroimaging using an established facial emotion task at baseline and two months (coinciding with the first two months of intervention focused on problem-solving therapy ('PST')). Amygdala, insula and anterior cingulate cortex activation was extracted using pre-planned definitions and standardized methods. The primary health and behavioural outcomes were depression symptom severity and problem-solving ability respectively, assessed at baseline, the main 6-month outcome point and at 12-month follow up. Mediation analyses used an intent-to-treat approach.

Findings: PST, relative to usual care, reduced amygdala activation engaged by threat stimuli at two months. This reduction mediated subsequent improvements in depression severity in an intervention-dependent manner. PST did not change insula activation at two months but did temper the strength of the relationship between insula activation and improvements in problem-solving ability.

Interpretation: The negative affect circuit may be an important neural target and potential mediator of PST in patients with comorbid obesity.

Funding: US National Institutes of Health/National Heart Lung and Blood Institute R01 HL119453 and UH2/UH3 HL132368.

Keywords: Amygdala; Depression; Insula; Neuroimaging; Obesity; Problem-solving.

Conflict of interest statement

Declaration of Competing Interest LMW is on the Scientific Advisory Board for One Mind Psyberguide and the External Advisory Board for the Laureate Institute for Brain Research. JM is a paid scientific consultant for Health Mentor, Inc. (San Jose, CA). OA is the co-founder of Keywise AI and the servers on the advisory boards of Blueprint Health and Embodied Labs. TS reports in the last 36 months grants from Merck, grants from National Institute on Drug Abuse, grants from National Institute of Health, grants from Palo Alto Health Sciences, grants from Stanley Medical Research Institute, grants from Pathways Genomics, personal fees from Sunovion Pharmaceuticals, Inc., personal fees from American Society of Clinical Psychopharmacology, personal fees from Impel NeuroPharma Inc., personal fees from Intracellular Therapies, personal fees from Servier (Australia), personal fees from Allergan, Inc., personal fees from Medscape (WebMD), personal fees from CME Institute (Physicians Postgraduate Press, Inc.), personal fees from CMEology, personal fees from American Psychiatric Association Publishing, personal fees from Hogrefe Publishing, personal fees from Jones and Bartlett, personal fees from Wolters Kluwer Health (UpToDate), outside the submitted work.

Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Figures

Fig. 1
Fig. 1
CONSORT chart for participant inclusion in the primary sample.
Fig. 2
Fig. 2
PST-induced target engagement of amygdala engaged by nonconscious threat and subsequent depression symptom change at 6 months. Amygdala engagement by nonconscious threat stimuli at 2 months mediates subsequent depressive symptom improvements at 6 months. (Path a) Early change in bilateral amygdala engagement for PST versus usual care. (Path B) Association of early change in bilateral amygdala engagement with subsequent change in depression symptoms. All changes are relative to baseline session. For the box plots, the central thick black bar represents the mean, grey shaded boxes represent standard error (dark grey) and standard deviation (lighter grey) of the mean, and the whiskers represent 2 standard deviations of the mean. The impact on the intervention on clinical variables are reported in Ma et al. 2019 for the full RAINBOW trial and presented for the RAINBOW/ENGAGE sub-sample in supplement. aBOLD activation vs. neutral cue, z-scored. Abbreviations: ACC = Anterior Cingulate Cortex; sgACC = subgenual ACC; Ant Insula = Anterior Insula; Amyg = Amygdala; R = right; L = left; SCL-20 = Depression Symptom Checklist, 20-item; PST = initial 2-month intervention phase of the I-CARE program focused on a 7-step problem-solving therapy process.
Fig. 3
Fig. 3
PST-induced target engagement of anterior insula engaged by sad and subsequent problem-solving behaviour change at 6 months. Anterior insula engagement by conscious sad stimuli at 2 months is associated with subsequent change in problem-solving ability at 6 months (Path a) Early change in anterior insula engagement for PST versus usual care. (Path b) Association of early change in anterior insula engagement with subsequent change in problem-solving ability. All changes are relative to baseline session. For the box plots, the central thick black bar represents the mean, grey shaded boxes represent standard error (dark grey) and standard deviation (lighter grey) of the mean, and the whiskers represent 2 standard deviations of the mean. The impact on the intervention on clinical variables are reported in Ma et al. 2019 for the full RAINBOW trial and presented for the RAINBOW/ENGAGE sub-sample in supplement. aBOLD activation vs. neutral cue, z-scored; b Social Problem-Solving Inventory, Revised – Short form. Abbreviations: ACC = Anterior Cingulate Cortex; pgACC = pregenual ACC; Ant. Insula = Anterior Insula; Amyg = Amygdala; R = right; L = left; PST = initial 2-month intervention phase of the I-CARE program focused on a 7-step problem-solving therapy process.

References

    1. Whiteford H.A., Degenhardt L., Rehm J., Baxter A.J., Ferrari A.J., Erskine H.E. Global burden of disease attributable to mental and substance use disorders: findings from the global burden of disease Study 2010. Lancet. 2013;382(9904):1575–1586.
    1. Chisholm D., Sweeny K., Sheehan P., Rasmussen B., Smit F., Cuijpers P. Scaling-up treatment of depression and anxiety: a global return on investment analysis. Lancet Psychiatry. 2016;3(5):415–424.
    1. Dragan A., Akhtar-Danesh N. Relation between body mass index and depression: a structural equation modeling approach. BMC Med Res Methodol. 2007;7:17.
    1. Strine T.W., Mokdad A.H., Dube S.R., Balluz L.S., Gonzalez O., Berry J.T. The association of depression and anxiety with obesity and unhealthy behaviors among community-dwelling US adults. Gen Hosp Psychiatry. 2008;30(2):127–137.
    1. Ladwig K.H., Marten-Mittag B., Lowel H., Doring A., Wichmann H.E. Synergistic effects of depressed mood and obesity on long-term cardiovascular risks in 1510 obese men and women: results from the MONICA-KORA Augsburg Cohort Study 1984-1998. Int J Obes (Lond) 2006;30(9):1408–1414.
    1. Werrij M.Q., Mulkens S., Hospers H.J., Jansen A. Overweight and obesity: the significance of a depressed mood. Patient Educ Couns. 2006;62(1):126–131.
    1. Katon W., Ciechanowski P. Impact of major depression on chronic medical illness. J Psychosom Res. 2002;53(4):859–863.
    1. Katon W., Sullivan M.D. Depression and chronic medical illness. J Clin Psychiatry. 1990;51(Suppl:3–11) discussion 2-4.
    1. Sumner J.A., Beauchaine T.P., Nielsen L. A mechanism-focused approach to the science of behavior change: an introduction to the special issue. Behav Res Ther. 2018;101:1–2.
    1. Nielsen L., Riddle M., King J.W., NIHSoBCI Team, Aklin W.M., Chen W. The NIH science of behavior change program: transforming the science through a focus on mechanisms of change. Behav Res Ther. 2018;101:3–11.
    1. Ma J., Yank V., Lv N., Goldhaber-Fiebert J.D., Lewis M.A., Kramer M.K. Research aimed at improving both mood and weight (RAINBOW) in primary care: a type 1 hybrid design randomized controlled trial. Contemp Clin Trials. 2015;43:260–278.
    1. Ma J., Rosas L.G., Lv N., Xiao L., Snowden M.B., Venditti E.M. Effect of integrated behavioral weight loss treatment and problem-solving therapy on body mass index and depressive symptoms among patients with obesity and depression: the RAINBOW randomized clinical trial. JAMA. 2019;321(9):869–879.
    1. Williams L.M., Pines A., Goldstein-Piekarski A.N., Rosas L.G., Kullar M., Sacchet M.D. The ENGAGE study: integrating neuroimaging, virtual reality and smartphone sensing to understand self-regulation for managing depression and obesity in a precision medicine model. Behav Res Ther. 2018;101:58–70.
    1. Lovden M., Wenger E., Martensson J., Lindenberger U., Backman L. Structural brain plasticity in adult learning and development. Neurosci Biobehav Rev. 2013;37(9 Pt B):2296–2310.
    1. Kober H., Barrett L.F., Joseph J., Bliss-Moreau E., Lindquist K., Wager T.D. Functional grouping and cortical-subcortical interactions in emotion: a meta-analysis of neuroimaging studies. Neuroimage. 2008;42(2):998–1031.
    1. Phan K.L., Wager T., Taylor S.F., Liberzon I. Functional neuroanatomy of emotion: a meta-analysis of emotion activation studies in PET and fMRI. Neuroimage. 2002;16(2):331–348.
    1. Williams L.M. Precision psychiatry: a neural circuit taxonomy for depression and anxiety. Lancet Psychiatry. 2016;3(5):472–480.
    1. Williams L.M. Defining biotypes for depression and anxiety based on large-scale circuit dysfunction: a theoretical review of the evidence and future directions for clinical translation. Depress Anxiety. 2017;34(1):9–24.
    1. Vuilleumier P., Pourtois G. Distributed and interactive brain mechanisms during emotion face perception: evidence from functional neuroimaging. Neuropsychologia. 2007;45(1):174–194.
    1. Fusar-Poli P., Placentino A., Carletti F., Landi P., Allen P., Surguladze S. Functional atlas of emotional faces processing: a voxel-based meta-analysis of 105 functional magnetic resonance imaging studies. J Psychiatry Neurosci. 2009;34(6):418–432.
    1. Park B.Y., Hong J., Park H. Neuroimaging biomarkers to associate obesity and negative emotions. Sci Rep. 2017;7(1):7664.
    1. Watkins T.J., Di Iorio C.R., Olatunji B.O., Benningfield M.M., Blackford J.U., Dietrich M.S. Disgust proneness and associated neural substrates in obesity. Soc Cogn Affect Neurosci. 2016;11(3):458–465.
    1. Cristea I.A., Karyotaki E., Hollon S.D., Cuijpers P., Gentili C. Biological markers evaluated in randomized trials of psychological treatments for depression: a systematic review and meta-analysis. Neurosci Biobehav Rev. 2019;101:32–44.
    1. Williams L.M., Korgaonkar M.S., Song Y.C., Paton R., Eagles S., Goldstein-Piekarski A. Amygdala reactivity to emotional faces in the prediction of general and medication-specific responses to antidepressant treatment in the randomized iSPOT-D Trial. Neuropsychopharmacology. 2015;40(10):2398–2408.
    1. Gorka S.M., Young C.B., Klumpp H., Kennedy A.E., Francis J., Ajilore O. Emotion-based brain mechanisms and predictors for SSRI and CBT treatment of anxiety and depression: a randomized trial. Neuropsychopharmacology. 2019;44(9):1639–1648.
    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. Wang Y., Bernanke J., Peterson B.S., McGrath P., Stewart J., Chen Y. The association between antidepressant treatment and brain connectivity in two double-blind, placebo-controlled clinical trials: a treatment mechanism study. Lancet Psychiatry. 2019;6(8):667–674.
    1. Cuijpers P., de Wit L., Kleiboer A., Karyotaki E., Ebert D.D. Problem-solving therapy for adult depression: an updated meta-analysis. Eur Psychiatry. 2018;48:27–37.
    1. Xiao L., Huang Q., Yank V., Ma J. An easily accessible Web-based minimization random allocation system for clinical trials. J Med Internet Res. 2013;15(7):e139.
    1. Ciechanowski P., Chaytor N., Miller J., Fraser R., Russo J., Unutzer J. PEARLS depression treatment for individuals with epilepsy: a randomized controlled trial. Epilepsy Behav. 2010;19(3):225–231.
    1. Ciechanowski P., Wagner E., Schmaling K., Schwartz S., Williams B., Diehr P. Community-integrated home-based depression treatment in older adults: a randomized controlled trial. JAMA. 2004;291(13):1569–1577.
    1. Kramer M.K., Kriska A.M., Venditti E.M., Miller R.G., Brooks M.M., Burke L.E. Translating the diabetes prevention Program: a comprehensive model for prevention training and program delivery. Am J Prev Med. 2009;37(6):505–511.
    1. Korgaonkar M.S., Grieve S.M., Etkin A., Koslow S.H., Williams L.M. Using standardized fMRI protocols to identify patterns of prefrontal circuit dysregulation that are common and specific to cognitive and emotional tasks in major depressive disorder: first wave results from the iSPOT-D study. Neuropsychopharmacology. 2013;38(5):863–871.
    1. Jenkinson M, Beckmann CF, Behrens TEJ, Woolrich M, Smith SM. FSL. Neuroimage. 2012;62(2):782–790.
    1. Goldstein-Piekarski A.N., Korgaonkar M.S., Green E., Suppes T., Schatzberg A.F., Hastie T. Human amygdala engagement moderated by early life stress exposure is a biobehavioral target for predicting recovery on antidepressants. Proc Natl Acad Sci U S A. 2016;113(42):11955–11960.
    1. Goldstein-Piekarski AN, Ball TM, Samara Z, Staveland BR, Keller AS, Fleming SL. et al. Mapping neural circuit biotypes to symptoms and behavioral dimensions of depression and anxiety. In Revision.2020
    1. Yarkoni T., Poldrack R., Nichols T., Van Essen D., Wager T. NeuroSynth: a new platform for large-scale automated synthesis of human functional neuroimaging data. Front. Neuroiform. Conference Abstract: 4th INCF Congress of Neuroinformatics. 2011 doi: 10.3389/conf.fninf.2011.08.00058.
    1. Tzourio-Mazoyer N., Landeau B., Papathanassiou D., Crivello F., Etard O., Delcroix N. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage. 2002;15(1):273–289.
    1. Glass R.M., Allan A.T., Uhlenhuth E.H., Kimball C.P., Borinstein D.I. Psychiatric screening in a medical clinic. an evaluation of a self-report inventory. Arch Gen Psychiatry. 1978;35(10):1189–1195.
    1. D'Zurilla T.L., Nezu A.M. Development and preliminary evaluation of the social problem-solving inventory. J Consult Clin Psychol. 1990;2(2):156–163.
    1. Kraemer H.C., Wilson G.T., Fairburn C.G., Agras W.S. Mediators and moderators of treatment effects in randomized clinical trials. Arch Gen Psychiatry. 2002;59(10):877–883.
    1. Craig A.D. Interoception: the sense of the physiological condition of the body. Curr Opin Neurobiol. 2003;13(4):500–505.
    1. Milaneschi Y., Simmons W.K., van Rossum E.F.C., Penninx B.W. Depression and obesity: evidence of shared biological mechanisms. Mol Psychiatry. 2019;24(1):18–33.
    1. Lv N., Xiao L., Majd M., Lavori P.W., Smyth J.M., Rosas L.G. Variability in engagement and progress in efficacious integrated collaborative care for primary care patients with obesity and depression: within-treatment analysis in the RAINBOW trial. PLoS ONE. 2020;15(4)
    1. Rosas L.G., Xiao L., Lv N., Lavori P.W., Venditti E.M., Snowden M.B. Understanding mechanisms of integrated behavioral therapy for co-occurring obesity and depression in primary care: a mediation analysis in the RAINBOW trial. Transl Behav Med. 2020

Source: PubMed

3
Abonnere