Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-19T12:16:37.816Z Has data issue: false hasContentIssue false

Cognitive behavioural therapy for depression: systematic review of imaging studies

Published online by Cambridge University Press:  30 June 2015

George Franklin
Affiliation:
Division of Psychiatry, School of Molecular and Clinical Medicine, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
Alan J Carson
Affiliation:
Division of Psychiatry, School of Molecular and Clinical Medicine, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
Killian A. Welch*
Affiliation:
Division of Psychiatry, School of Molecular and Clinical Medicine, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
*
Killian Welch, Robert Ferguson Unit, Astley Ainslie Hospital, Honorary Clinical Senior Lecturer, Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh EH10 5HF, UK. Tel: +44 (0)131 537 6894; Fax: +44 (0)131 537 6857; E-mail: [email protected]

Abstract

Objective

Although cognitive behavioural therapy (CBT) has been shown to be an effective treatment for depression, the biological mechanisms underpinning it are less clear. This review examines if it is associated with changes identifiable with current brain imaging technologies.

Methods

To better understand the mechanisms by which CBT exerts its effects, we undertook a systematic review of studies examining brain imaging changes associated with CBT treatment of depression.

Results

Ten studies were identified, five applying functional magnetic resonance imaging, three positron emission tomography, one single photon emission computer tomography, and one magnetic resonance spectroscopy. No studies used structural MRI. Eight studies included a comparator group; in only one of these studies was there randomised allocation to another treatment. CBT-associated changes were most commonly observed in the anterior cingulate cortex (ACC), posterior cingulate, ventromedial prefrontal cortex/orbitofrontal cortex (VMPFC/OFC) and amygdala/hippocampus.

Discussion

The evidence, such as it is, suggests resting state activity in the dorsal ACC is decreased by CBT. It has previously been suggested that treatment with CBT may result in increased efficiency of a putative ‘dorsal cognitive circuit’, important in cognitive control and effortful regulation of emotion. It is speculated this results in an increased capacity for ‘top-down’ emotion regulation, which is employed when skills taught in CBT are engaged. Though changes in activity of the dorsal ACC could be seen as in-keeping with this model, the data are currently insufficient to make definitive statements about how CBT exerts its effects. Data do support the contention that CBT is associated with biological brain changes detectable with current imaging technologies.

Type
Review Article
Copyright
© Scandinavian College of Neuropsychopharmacology 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Willner, P, Scheel-Krüger, J, Belzung, C. The neurobiology of depression and antidepressant action. Neurosci Biobehavioral Rev 2012;37:23312371.Google Scholar
2. Bellani, M, Dusi, N, Yeh, P, Soares, JC, Brambilla, P. The effects of antidepressants on human brain as detected by imaging studies. Focus on major depression. Prog Neuro-Psychopharmacol Biol Psychiatry 2011;35:15441552.Google Scholar
3. Beck, AT. Thinking and depression: II. Theory and therapy. Arch Gen Psychiatry 1964;10:561571.Google Scholar
4. Sheline, YI, Barch, DM, Donnelly, JM, Ollinger, JM, Snyder, AZ, Mintun, MA. Increased amygdala response to masked emotional faces in depressed subjects resolves with antidepressant treatment: an fMRI study. Biol Psychiatry 2001;50:651658.Google Scholar
5. Schaefer, SM, Jackson, DC, Davidson, RJ, Aguirre, GK, Kimberg, DY, Thompson-Schill, SL. Modulation of amygdalar activity by the conscious regulation of negative emotion. J Cogn Neurosci 2002;14:913921.Google Scholar
6. Peckham, AD, McHugh, RK, Otto, MW. A meta-analysis of the magnitude of biased attention in depression. Depress Anxiety 2010;27:11351142.Google Scholar
7. Fales, CL, Barch, DM, Rundle, MM et al. Altered emotional interference processing in affective and cognitive-control brain circuitry in major depression. Biol Psychiatry 2008;63:377384.CrossRefGoogle ScholarPubMed
8. Beevers, CG, Clasen, P, Stice, E, Schnyer, D. Depression symptoms and cognitive control of emotion cues: a functional magnetic resonance imaging study. Neuroscience 2010;167:97103.CrossRefGoogle ScholarPubMed
9. Disner, SG, Beevers, CG, Haigh, EA, Beck, AT. Neural mechanisms of the cognitive model of depression. Nat Rev Neurosci 2011;12:467477.CrossRefGoogle ScholarPubMed
10. Miller, EK, Cohen, JD. An integrative theory of prefrontal cortex function. Annu Rev Neurosci 2001;24:167202.CrossRefGoogle ScholarPubMed
11. Rock, P, Roiser, J, Riedel, W, Blackwell, A. Cognitive impairment in depression: a systematic review and meta-analysis. Psychol Med 2014;44:20292040.Google Scholar
12. de Lange, FP, Koers, A, Kalkman, JS et al. Increase in prefrontal cortical volume following cognitive behavioural therapy in patients with chronic fatigue syndrome. Brain 2008;131:21722180.Google Scholar
13. Draganski, B, Gaser, C, Busch, V, Schuierer, G, Bogdahn, U, May, A. Neuroplasticity: changes in grey matter induced by training. Nature 2004;427:311312.CrossRefGoogle ScholarPubMed
14. Stein, M, Federspiel, A, Koenig, T et al. Structural plasticity in the language system related to increased second language proficiency. Cortex 2012;48:458465.CrossRefGoogle ScholarPubMed
15. Scholz, J, Klein, MC, Behrens, TE, Johansen-Berg, H. Training induces changes in white-matter architecture. Nat Neurosci 2009;12:13701371.CrossRefGoogle ScholarPubMed
16. Liberati, A, Altman, DG, Tetzlaff, J et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. BMJ 2009;339:b2700.CrossRefGoogle ScholarPubMed
17. Martin, DJ, Garske, JP, Davis, MK. Relation of the therapeutic alliance with outcome and other variables: a meta-analytic review. J Consult Clin Psychol 2000;68:438450.CrossRefGoogle ScholarPubMed
18. Lancaster, J, Summerln, J, Rainey, L, Freitas, C, Fox, P. The Talairach Daemon, a database server for Talairach atlas labels. Neuroimage 1997;5:S633.Google Scholar
19. Brett, M. MNI2TAL software. Available at http://bioimagesuite.yale.edu/mni2tal/index.aspx. 2008, accessed 22 June 2015.Google Scholar
20. Kennedy, S, Konarski, J, Segal, Z et al. Differences in brain glucose metabolism between responders to CBT and venlafaxine in a 16-week randomized controlled trial. Am J Psychiatry 2007;164:778788.CrossRefGoogle Scholar
21. Goldapple, K, Segal, Z, Garson, C et al. Modulation of cortical-limbic pathways in major depression: treatment-specific effects of cognitive behavior therapy. Arch Gen Psychiatry 2004;61:3441.Google Scholar
22. Sanacora, G, Fenton, LR, Fasula, MK et al. Cortical γ-aminobutyric acid concentrations in depressed patients receiving cognitive behavioral therapy. Biol Psychiatry 2006;59:284286.CrossRefGoogle ScholarPubMed
23. Yoshimura, S, Okamoto, Y, Onoda, K et al. Cognitive behavioral therapy for depression changes medial prefrontal and ventral anterior cingulate cortex activity associated with self-referential processing. Soc Cognitive Affective Neurosci 2013;9:487493.CrossRefGoogle ScholarPubMed
24. Tiger, M, Rück, C, Forsberg, A et al. Reduced 5-HT 1B receptor binding in the dorsal brain stem after cognitive behavioural therapy of major depressive disorder. Psychiatry Res: Neuroimaging 2014;223:164170.CrossRefGoogle ScholarPubMed
25. Beltman, MW, Voshaar, RCO, Speckens, AE. Cognitive-behavioural therapy for depression in people with a somatic disease: meta-analysis of randomised controlled trials. Br J Psychiatry 2010;197:1119.Google Scholar
26. Siegle, GJ, Thompson, WK, Collier, A et al. Toward clinically useful neuroimaging in depression treatmentprognostic utility of subgenual cingulate activity for determining depression outcome in cognitive therapy across studies, scanners, and patient characteristics. Arch Gen Psychiatry 2012;69:913924.Google Scholar
27. Amsterdam, JD, Newberg, AB, Newman, CF, Shults, J, Wintering, N, Soeller, I. Change over time in brain serotonin transporter binding in major depression: effects of therapy measured with [123I]‐ADAM SPECT. J Neuroimaging 2013;23:469476.Google Scholar
28. Fu, CH, Williams, SC, Cleare, AJ et al. Neural responses to sad facial expressions in major depression following cognitive behavioral therapy. Biol Psychiatry 2008;64:505512.Google Scholar
29. Ritchey, M, Dolcos, F, Eddington, KM, Strauman, TJ, Cabeza, R. Neural correlates of emotional processing in depression: changes with cognitive behavioral therapy and predictors of treatment response. J Psychiatr Res 2011;45:577587.Google Scholar
30. Sankar, A, Scott, J, Paszkiewicz, A, Giampietro, V, Steiner, H, Fu, C. Neural effects of cognitive-behavioural therapy on dysfunctional attitudes in depression. Psychol Med 2015;45:14251433.Google Scholar
31. Turner, R, Friston, K. Functional MRI. Available at http://www.fil.ion.ucl.ac.uk/spm/doc/books/hbf1/Ch8.pdf, accessed 22 June 2015.Google Scholar
32. Sacher, J, Neumann, J, Fünfstück, T, Soliman, A, Villringer, A, Schroeter, ML. Mapping the depressed brain: a meta-analysis of structural and functional alterations in major depressive disorder. J Affect Disord 2012;140:142148.CrossRefGoogle Scholar
33. Shapira, B, Lerer, B. Speed of response to bilateral ECT: an examination of possible predictors in two controlled trials. J ECT 1999;15:202206.Google Scholar
34. Mayberg, HS, Liotti, M, Brannan, SK et al. Reciprocal limbic-cortical function and negative mood: converging PET findings in depression and normal sadness. Am J Psychiatry 1999;156:675682.CrossRefGoogle ScholarPubMed
35. Hollon, SD, DeRubeis, RJ, Shelton, RC et al. Prevention of relapse following cognitive therapy vs medications in moderate to severe depression. Arch Gen Psychiatry 2005;62:417422.Google Scholar