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Neural effects of cognitive–behavioural therapy on dysfunctional attitudes in depression

Published online by Cambridge University Press:  22 October 2014

A. Sankar
Affiliation:
Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
J. Scott
Affiliation:
Academic Psychiatry, Institute of Neuroscience, University of Newcastle, Newcastle upon Tyne, UK
A. Paszkiewicz
Affiliation:
Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
V. P. Giampietro
Affiliation:
Department of Neuroimaging, Division of Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
H. Steiner
Affiliation:
East London NHS Foundation Trust, London, UK
C. H. Y. Fu*
Affiliation:
Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK School of Psychology, University of East London, London, UK
*
* Address for correspondence: C. H. Y. Fu, School of Psychology, University of East London, AE3.11, Water Lane, London E15 4LZ, UK. (Email: [email protected])

Abstract

Background

Dysfunctional attitudes are a feature of depression that has been correlated with receptor binding abnormalities in limbic and cortical regions. We sought to investigate the functional neuroanatomy of dysfunctional attitudes in major depressive disorder (MDD) and the effects of treatment with cognitive–behavioural therapy (CBT).

Method

Participants were 16 patients with unipolar depression in an acute depressive episode (mean age 40.0 years) and 16 matched healthy controls (mean age 39.9 years). Patients were medication free and received a course of treatment with CBT. All participants underwent functional magnetic resonance imaging (fMRI) scans at baseline and at week 16, prior to the initiation of therapy and following the course of CBT for patients. During each fMRI scan, participants indicated their attributions to statements from a modified Dysfunctional Attitudes Scale (mDAS-48).

Results

MDD patients in an acute depressive episode endorsed a greater number of extreme responses to DAS statements, which normalized following CBT treatment. Extreme attributions were associated with greater activation in the left hippocampal region, inferior parietal lobe and precuneus in MDD patients as compared with healthy controls as a main effect of group. An interaction effect was found in the left parahippocampal region, which showed less attenuation in MDD patients at the follow-up scan relative to healthy controls.

Conclusions

Attenuation of activity in the parahippocampal region may be indicative of an improvement in dysfunctional thinking following CBT treatment in depression, while persistent engagement of regions involved in attentional processing and memory retrieval with extreme attributions reflects a trait feature of depression.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2014 

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References

Beck, AT (1967). Depression: Clinical, Experimental, and Theoretical Aspects. Harper and Row: New York.Google Scholar
Beck, AT, Shaw, B, Rush, J, Emery, G (1979). Cognitive Therapy for Depression. Guilford Press: New York.Google Scholar
Beevers, CG, Keitner, GI, Ryan, CE, Miller, IW (2003). Cognitive predictors of symptom return following depression treatment. Journal of Abnormal Psychology 112, 488496.CrossRefGoogle ScholarPubMed
Burns, DD, Spangler, DL (2001). Do changes in dysfunctional attitudes mediate changes in depression and anxiety in cognitive behavioral therapy? Behavior Therapy 32, 337369.Google Scholar
Cavanna, AE, Trimble, MR (2006). The precuneus: a review of its functional anatomy and behavioural correlates. Brain 129, 564583.Google Scholar
Costafreda, SG, Brammer, MJ, David, AS, Fu, CH (2008). Predictors of amygdala activation during the processing of emotional stimuli: a meta-analysis of 385 PET and fMRI studies. Brain Research Reviews 58, 5770.CrossRefGoogle ScholarPubMed
Delaveau, P, Jabourian, M, Lemogne, C, Guionnet, S, Bergouignan, L, Fossati, P (2011). Brain effects of antidepressants in major depression: a meta-analysis of emotional processing studies. Journal of Affective Disorders 130, 6674.Google Scholar
DeRubeis, RJ, Siegle, GJ, Hollon, SD (2008). Cognitive therapy versus medication for depression: treatment outcomes and neural mechanisms. Nature Reviews Neuroscience 9, 788796.CrossRefGoogle ScholarPubMed
Dichter, GS, Felder, JN, Petty, C, Bizzell, J, Ernst, M, Smoski, MJ (2009). The effects of psychotherapy on neural responses to rewards in major depression. Biological Psychiatry 66, 886897.CrossRefGoogle ScholarPubMed
Dobson, KS, Dozois, DJ (2001). Historical and philosophical bases of the cognitive–behavioral therapies. In Handbook of Cognitive Behavioral Therapies (ed. Dobson, K. S.), pp. 339. Guilford Press: New York.Google Scholar
Eckert, M (2004). Neuroanatomical markers for dyslexia: a review of dyslexia structural imaging studies. Neuroscientist 10, 362371.Google Scholar
Eichenbaum, H, Lipton, PA (2008). Towards a functional organization of the medial temporal lobe memory system: role of the parahippocampal and medial entorhinal cortical areas. Hippocampus 18, 13141324.CrossRefGoogle ScholarPubMed
First, MB, Gibbon, M (1997). Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I), Clinician Version, User's Guide. American Psychiatric Publishing: Washington, DC.Google Scholar
Fu, CH, Williams, SC, Cleare, AJ, Scott, J, Mitterschiffthaler, MT, Walsh, ND, Donaldson, C, Suckling, J, Andrew, C, Steiner, H (2008). Neural responses to sad facial expressions in major depression following cognitive behavioral therapy. Biological Psychiatry 64, 505512.CrossRefGoogle ScholarPubMed
Furlong, M, Oei, TP (2002). Changes to automatic thoughts and dysfunctional attitudes in group CBT for depression. Behavioural and Cognitive Psychotherapy 30, 351360.CrossRefGoogle Scholar
Goldapple, K, Segal, Z, Garson, C, Lau, M, Bieling, P, Kennedy, S, Mayberg, H (2004). Modulation of cortical–limbic pathways in major depression treatment-specific effects of cognitive behavior therapy. Archives of General Psychiatry 61, 3441.Google Scholar
Haaga, DA, Dyck, MJ, Ernst, D (1991). Empirical status of cognitive theory of depression. Psychological Bulletin 110, 215236.CrossRefGoogle ScholarPubMed
Hamilton, M (1960). A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry 23, 5662.Google Scholar
Iidaka, T, Okada, T, Murata, T, Omori, M, Kosaka, H, Sadato, N, Yonekura, Y (2002). Age-related differences in the medial temporal lobe responses to emotional faces as revealed by fMRI. Hippocampus 12, 352362.Google Scholar
Keedwell, PA, Andrew, C, Williams, SC, Brammer, MJ, Phillips, ML (2005). The neural correlates of anhedonia in major depressive disorder. Biological Psychiatry 58, 843853.CrossRefGoogle ScholarPubMed
Kennedy, S, Konarski, J, Segal, Z, Lau, M, Bieling, P, McIntyre, R, Mayberg, H (2007). Differences in brain glucose metabolism between responders to CBT and venlafaxine in a 16-week randomized controlled trial. American Journal of Psychiatry 164, 778788.CrossRefGoogle Scholar
Kennedy, SH, Evans, KR, Krüger, S, Mayberg, HS, Meyer, JH, McCann, S, Arifuzzman, AI, Houle, S, Vaccarino, FJ (2001). Changes in regional brain glucose metabolism measured with positron emission tomography after paroxetine treatment of major depression. American Journal of Psychiatry 58, 899905.Google Scholar
Larisch, R, Klimke, A, Vosberg, H, Löffler, S, Gaebel, W, Müller-Gärtner, HW (1997). In vivo evidence for the involvement of dopamine-D2 receptors in striatum and anterior cingulate gyrus in major depression. NeuroImage 5, 251260.Google Scholar
Lau, MA, Haigh, EAP, Christensen, BK, Segal, ZV, Taube-Schiff, M (2012). Evaluating the mood state dependence of automatic thoughts and dysfunctional attitudes in remitted versus never-depressed individuals. Journal of Cognitive Psychotherapy 26, 381389.Google Scholar
Lisiecka, D, Meisenzahl, E, Scheuerecker, J, Schoepf, V, Whitty, P, Chaney, A, Moeller, H-J, Wiesmann, M, Frodl, T (2011). Neural correlates of treatment outcome in major depression. International Journal of Neuro-Psychopharmacology 14, 521534.Google Scholar
Maddock, R, Garrett, A, Buonocore, M (2001). Remembering familiar people: the posterior cingulate cortex and autobiographical memory retrieval. Neuroscience 104, 667676.Google Scholar
Meyer, JH, Houle, S, Sagrati, S, Carella, A, Hussey, DF, Ginovart, N, Goulding, V, Kennedy, J, Wilson, AA (2004). Brain serotonin transporter binding potential measured with carbon 11-labeled DASB positron emission tomography: effects of major depressive episodes and severity of dysfunctional attitudes. Archives of General Psychiatry 6, 12711279.CrossRefGoogle Scholar
Meyer, JH, McMain, S, Kennedy, SH, Korman, L, Brown, GM, DaSilva, JN, Wilson, AA, Blak, T, Eynan-Harve, R, Goulding, VS (2003). Dysfunctional attitudes and 5-HT2 receptors during depression and self-harm. American Journal of Psychiatry 160, 9099.Google Scholar
O'Kane, G, Insler, RZ, Wagner, AD (2005). Conceptual and perceptual novelty effects in human medial temporal cortex. Hippocampus 15, 326332.Google Scholar
Paykel, ES, Scott, J, Teasdale, JD, Johnson, AL, Garland, A, Moore, R, Jenaway, A, Cornwall, PL, Hayhurst, H, Abbott, R (1999). Prevention of relapse in residual depression by cognitive therapy: a controlled trial. Archives of General Psychiatry 56, 829835.Google Scholar
Persons, JB, Burns, DD (1985). Mechanisms of action of cognitive therapy: the relative contributions of technical and interpersonal interventions. Cognitive Therapy and Research 9, 539551.Google Scholar
Pessoa, L, Kastner, S, Ungerleider, LG (2002). Attentional control of the processing of neutral and emotional stimuli. Cognitive Brain Research 15, 3145.Google Scholar
Phillips, ML, Williams, LM, Heining, M, Herba, CM, Russell, T, Andrew, C, Bullmore, ET, Brammer, MJ, Williams, SCR, Morgan, M (2004). Differential neural responses to overt and covert presentations of facial expressions of fear and disgust. NeuroImage 21, 14841496.Google Scholar
Power, M, Katz, R, McGuffin, P, Duggan, C (1994). The Dysfunctional Attitude Scale (DAS): a comparison of forms A and B and proposals for a new subscaled version. Journal of Research in Personality 28, 263276.Google Scholar
Rämä, P, Martinkauppi, S, Linnankoski, I, Koivisto, J, Aronen, HJ, Carlson, S (2001). Working memory of identification of emotional vocal expressions: an fMRI study. NeuroImage 13, 10901101.Google Scholar
Ritchey, M, Dolcos, F, Eddington, KM, Strauman, TJ, Cabeza, R (2011). Neural correlates of emotional processing in depression: changes with cognitive behavioral therapy and predictors of treatment response. Journal of Psychiatric Research 45, 577587.Google Scholar
Roberts, JE, Gamble, SA (2001). Current mood-state and past depression as predictors of self-esteem and dysfunctional attitudes among adolescents. Personality and Individual Differences 30, 10231037.Google Scholar
Schmid, M, Strand, M, Årdal, G, Lund, A, Hammar, Å (2011). Prolonged impairment in inhibition and semantic fluency in a follow-up study of recurrent major depression. Archives of Clinical Neuropsychology 26, 677686.Google Scholar
Segal, ZV, Kennedy, S, Gemar, M, Hood, K, Pedersen, R, Buis, T (2006). Cognitive reactivity to sad mood provocation and the prediction of depressive relapse. Archives of General Psychiatry 63, 749755.Google Scholar
Shankman, SA, Campbell, ML, Klein, DN, Leon, AC, Arnow, BA, Manber, R, Keller, MB, Markowitz, JC, Rothbaum, BO, Thase, ME (2012). Dysfunctional attitudes as a moderator of pharmacotherapy and psychotherapy for chronic depression. Journal of Psychiatric Research 47, 113121.Google Scholar
Sheline, YI, Barch, DM, Price, JL, Rundle, MM, Vaishnavi, SN, Snyder, AZ, Mintun, MA, Wang, S, Coalson, RS, Raichle, ME (2009). The default mode network and self-referential processes in depression. Proceedings of the National Academy of Sciences, USA 106, 19421947.CrossRefGoogle ScholarPubMed
Sheppard, LC, Teasdale, JD (2000). Dysfunctional thinking in major depressive disorder: a deficit in metacognitive monitoring? Journal of Abnormal Psychology 109, 768776.Google Scholar
Talairach, J, Tournoux, P (1988). Co-Planar Stereotaxic Atlas of the Human Brain: 3-D Proportional System. An Approach to Cerebral Imaging. Thieme: Stuttgart, Germany.Google Scholar
Surguladze, S, Brammer, MJ, Keedwell, P, Giampietro, V, Young, AW, Travis, MJ, Williams, SC, Phillips, ML (2005). A differential pattern of neural response toward sad versus happy facial expressions in major depressive disorder. Biological Psychiatry 57, 201209.Google Scholar
Warmerdam, L, van Straten, A, Jongsma, J, Twisk, J, Cuijpers, P (2010). Online cognitive behavioral therapy and problem-solving therapy for depressive symptoms: exploring mechanisms of change. Journal of Behavior Therapy and Experimental Psychiatry 41, 6470.Google Scholar
Weissman, AN, Beck, AT (1978). Development and validation of the dysfunctional attitude scale: a preliminary investigation. Paper presented at the annual meeting of the American Educational Research Association, Toronto, Canada (eric.ed.gov/?id=ED167619). Accessed September 2014.Google Scholar
Werner, NS, Meindl, T, Materne, J, Engel, RR, Huber, D, Riedel, M, Reiser, M, Hennig-Fast, K (2009). Functional MRI study of memory-related brain regions in patients with depressive disorder. Journal of Affective Disorders 119, 124131.Google Scholar
Yoshimura, S, Okamoto, Y, Onoda, K, Matsunaga, M, Okada, G, Kunisato, Y, Yoshino, A, Ueda, K, Suzuki, S-I, Yamawaki, S (2014). Cognitive behavioral therapy for depression changes medial prefrontal and ventral anterior cingulate cortex activity associated with self-referential processing. Social Cognitive and Affective Neuroscience 9, 487493.Google Scholar