Cognitive behavioral therapy increases amygdala connectivity with the cognitive control network in both MDD and PTSD

NeuroImage: Clinical

Volumn 14, Issue , 2017, Pages 464-470

  Shou, Haochang ^a   Yang, Zhen ^a   Satterthwaite, Theodore D ^a   Cook, Philip A ^a   Bruce, Steven E ^b   Shinohara, Russell T ^a   Rosenberg, Benjamin ^a   Sheline, Yvette I ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF MISSOURI ST LOUIS   (United States)

Author keywords

Amygdala; Cognitive behavioral therapy; Fronto parietal network; Principal component analysis; Resting state functional connectivity

Indexed keywords

ADULT; AMYGDALA; ARTICLE; COGNITIVE BEHAVIORAL THERAPY; COMPARATIVE STUDY; CONTROLLED STUDY; DIAGNOSIS RELATED GROUP; EXECUTIVE FUNCTION; FEMALE; FRONTOPARIETAL CORTEX; FUNCTIONAL CONNECTIVITY; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MAJOR DEPRESSION; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; POSTTRAUMATIC STRESS DISORDER; PRIORITY JOURNAL; STRUCTURED INTERVIEW; TREATMENT DURATION; BRAIN MAPPING; COGNITION DISORDERS; COGNITIVE THERAPY; COMPLICATION; DIAGNOSTIC IMAGING; NERVE TRACT; NEUROPSYCHOLOGICAL TEST; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; THREE DIMENSIONAL IMAGING; TREATMENT OUTCOME; YOUNG ADULT;

ADULT; AMYGDALA; BRAIN MAPPING; COGNITION DISORDERS; COGNITIVE THERAPY; DEPRESSIVE DISORDER, MAJOR; FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; NEUROPSYCHOLOGICAL TESTS; PRINCIPAL COMPONENT ANALYSIS; STRESS DISORDERS, POST-TRAUMATIC; TREATMENT OUTCOME; YOUNG ADULT;

EID: 85014021972     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2017.01.030     Document Type: Article

References (53)

1. Amick, H.R., et al. Comparative benefits and harms of second generation antidepressants and cognitive behavioral therapies in initial treatment of major depressive disorder: systematic review and meta-analysis. BMJ, 351, 2015, h6019.
2. Aupperle, R.L., et al. Dorsolateral prefrontal cortex activation during emotional anticipation and neuropsychological performance in posttraumatic stress disorder. Arch. Gen. Psychiatry 69:4 (2012), 360–371.
3. Avants, B.B., et al. A reproducible evaluation of ANTs similarity metric performance in brain image registration. NeuroImage 54:3 (2011), 2033–2044.
4. Avants, B.B., et al. An open source multivariate framework for n-tissue segmentation with evaluation on public data. Neuroinformatics 9:4 (2011), 381–400.
5. Barch, D.M., Brain network interactions in health and disease. Trends Cogn. Sci. 17:12 (2013), 603–605.
6. Beck, A.T., Cognitive therapy of depression. 1979, Guilford press.
7. Blake, D.D., et al. The development of a clinician-administered PTSD scale. J. Trauma. Stress. 8:1 (1995), 75–90.
8. Brooks, S.J., Stein, D.J., A systematic review of the neural bases of psychotherapy for anxiety and related disorders. Dialogues Clin. Neurosci. 17:3 (2015), 261–279.
9. Brown, V.M., et al. Altered resting-state functional connectivity of basolateral and centromedial amygdala complexes in posttraumatic stress disorder. Neuropsychopharmacology 39:2 (2014), 351–359.
10. Chard, K.M., An evaluation of cognitive processing therapy for the treatment of posttraumatic stress disorder related to childhood sexual abuse. J. Consult. Clin. Psychol. 73:5 (2005), 965–971.
11. Dichter, G.S., Gibbs, D., Smoski, M.J., A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder. J. Affect. Disord. 172 (2015), 8–17.
12. Dunlop, B.W., Mayberg, H.S., Neuroimaging-based biomarkers for treatment selection in major depressive disorder. Dialogues Clin. Neurosci. 16:4 (2014), 479–490.
13. First, M.B., et al. Structured Clinical Interview for DSM-IV Axis I Disorders, Patient Edition (SCID-P), Version 2. 1996, Biometrics Research, New York, New York State Psychiatric Institute.
14. Foa, E.B., et al. Psychometric properties of the posttraumatic diagnostic scale for DSM-5 (PDS-5). Psychol. Assess. 28:10 (2016), 1166–1171.
15. Fonzo, G.A., et al. Exaggerated and disconnected insular-amygdalar blood oxygenation level-dependent response to threat-related emotional faces in women with intimate-partner violence posttraumatic stress disorder. Biol. Psychiatry 68:5 (2010), 433–441.
16. Franklin, G., Carson, A.J., Welch, K.A., Cognitive behavioural therapy for depression: systematic review of imaging studies. Acta Neuropsychiatr. 28:2 (2016), 61–74.
17. Goldapple, K., et al. Modulation of cortical-limbic pathways in major depression: treatment-specific effects of cognitive behavior therapy. Arch. Gen. Psychiatry 61:1 (2004), 34–41.
18. Greve, D.N., Fischl, B., Accurate and robust brain image alignment using boundary-based registration. NeuroImage 48:1 (2009), 63–72.
19. Greven, S., et al. Longitudinal functional principal component analysis. Electron. J. Stat. 4 (2010), 1022–1054.
20. Hallquist, M.N., Hwang, K., Luna, B., The nuisance of nuisance regression: spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional connectivity. NeuroImage 82C (2013), 208–225.
21. Hayes, J.P., Hayes, S.M., Mikedis, A.M., Quantitative meta-analysis of neural activity in posttraumatic stress disorder. Biol. Mood Anxiety Disord., 2, 2012, 9.
22. Hollon, S.D., et al. Effect of cognitive therapy with antidepressant medications vs antidepressants alone on the rate of recovery in major depressive disorder: a randomized clinical trial. JAMA Psychiatry 71:10 (2014), 1157–1164.
23. Jenkinson, M., et al. Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage 17:2 (2002), 825–841.
24. Johnstone, T., et al. Failure to regulate: counterproductive recruitment of top-down prefrontal-subcortical circuitry in major depression. J. Neurosci. 27:33 (2007), 8877–8884.
25. Kaiser, R.H., et al. Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity. JAMA Psychiatry 72:6 (2015), 603–611.
26. Klein, A., et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. NeuroImage 46:3 (2009), 786–802.
27. Lanius, R.A., et al. Default mode network connectivity as a predictor of post-traumatic stress disorder symptom severity in acutely traumatized subjects. Acta Psychiatr. Scand. 121:1 (2010), 33–40.
28. MacNamara, A., DiGangi, J., Phan, K.L., Aberrant spontaneous and task-dependent functional connections in the anxious brain. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 1:3 (2016), 278–287.
29. Matthews, S.C., et al. Decreased functional coupling of the amygdala and supragenual cingulate is related to increased depression in unmedicated individuals with current major depressive disorder. J. Affect. Disord. 111 (2008), 13–20.
30. McMain, S., et al. Cognitive behavioral therapy: current status and future research directions. Psychother. Res. 25:3 (2015), 321–329.
31. Miller, E.K., Cohen, J.D., An integrative theory of prefrontal cortex function. Annu. Rev. Neurosci. 24 (2001), 167–202.
32. Montgomery, S.A., Asberg, M., A new depression scale designed to be sensitive to change. Br. J. Psychiatry 134 (1979), 382–389.
33. Murrough, J.W., et al. Reduced global functional connectivity of the medial prefrontal cortex in major depressive disorder. Hum. Brain Mapp. 37:9 (2016), 3214–3223.
34. Newby, J.M., et al. Systematic review and meta-analysis of transdiagnostic psychological treatments for anxiety and depressive disorders in adulthood. Clin. Psychol. Rev. 40 (2015), 91–110.
35. Newby, J.M., Mewton, L., Andrews, G., Transdiagnostic versus disorder-specific internet-delivered cognitive behaviour therapy for anxiety and depression in primary care. J. Anxiety Disord., 2016.
36. Oathes, D.J., et al. Neurobiological signatures of anxiety and depression in resting-state functional magnetic resonance imaging. Biol. Psychiatry 77:4 (2015), 385–393.
37. Quide, Y., et al. Differences between effects of psychological versus pharmacological treatments on functional and morphological brain alterations in anxiety disorders and major depressive disorder: a systematic review. Neurosci. Biobehav. Rev. 36:1 (2012), 626–644.
38. Resick, P., Schnicke, M., Cognitive Processing Therapy for Rape Victims: A Treatment Manual. Vol. 4, 1993, Sage.
39. Resick, P.A., Schnicke, M.K., Cognitive processing therapy for sexual assault victims. J. Consult. Clin. Psychol. 60:5 (1992), 748–756.
40. Resick, P.A., et al. A randomized clinical trial to dismantle components of cognitive processing therapy for posttraumatic stress disorder in female victims of interpersonal violence. J. Consult. Clin. Psychol. 76:2 (2008), 243–258.
41. Satterthwaite, T.D., et al. An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. NeuroImage 64:0 (2013), 240–256.
42. Satterthwaite, T.D., et al. Dimensional depression severity in women with major depression and post-traumatic stress disorder correlates with fronto-amygdalar hypoconnectivty. Mol. Psychiatry 21:7 (2016), 894–902.
43. Shou, H., et al. Structured functional principal component analysis. Biometrics 71:1 (2015), 247–257.
44. Snyder, H.R., Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review. Psychol. Bull. 139:1 (2013), 81–132.
45. Snyder, H.R., Miyake, A., Hankin, B.L., Advancing understanding of executive function impairments and psychopathology: bridging the gap between clinical and cognitive approaches. Front. Psychol., 6, 2015, 328.
46. Thomaes, K., et al. Can pharmacological and psychological treatment change brain structure and function in PTSD? A systematic review. J. Psychiatr. Res. 50 (2014), 1–15.
47. Tustison, N.J., et al. N4ITK: improved N3 bias correction. IEEE Trans. Med. Imaging 29:6 (2010), 1310–1320.
48. Tustison, N.J., et al. Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements. NeuroImage 99 (2014), 166–179.
49. Watson, D., et al. Testing a tripartite model: II. Exploring the symptom structure of anxiety and depression in student, adult, and patient samples. J. Abnorm. Psychol. 104:1 (1995), 15–25.
50. Watson, D., et al. Testing a tripartite model: I. Evaluating the convergent and discriminant validity of anxiety and depression symptom scales. J. Abnorm. Psychol. 104:1 (1995), 3–14.
51. Weitz, E.S., et al. Baseline depression severity as moderator of depression outcomes between cognitive behavioral therapy vs pharmacotherapy: an individual patient data meta-analysis. JAMA Psychiatry 72:11 (2015), 1102–1109.
52. Yeo, B.T., et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106:3 (2011), 1125–1165.
53. Zhang, H., Nichols, T.E., Johnson, T.D., Cluster mass inference via random field theory. NeuroImage 44:1 (2009), 51–61.