Structural MRI-based predictions in patients with treatment-refractory depression (TRD)

PLoS ONE

Volumn 10, Issue 7, 2015, Pages

  Johnston, Blair A ^a   Steele, J Douglas ^a,b   Tolomeo, Serenella ^a   Christmas, David ^b   Matthews, Keith ^a,b  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

^b NHS TAYSIDE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BRAIN REGION; CAUDATE NUCLEUS; CLASSIFICATION; CLINICAL ARTICLE; CONTROLLED STUDY; DEPRESSION; DISEASE SEVERITY; FEMALE; GRAY MATTER; HABENULA; HUMAN; IMAGE PROCESSING; INSULA; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTION; TREATMENT REFRACTORY DEPRESSION; CASE CONTROL STUDY; DEPRESSIVE DISORDER, TREATMENT-RESISTANT; MIDDLE AGED; PATHOLOGY; SUPPORT VECTOR MACHINE;

CASE-CONTROL STUDIES; DEPRESSIVE DISORDER, TREATMENT-RESISTANT; FEMALE; GRAY MATTER; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; SUPPORT VECTOR MACHINE;

EID: 84940880758     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0132958     Document Type: Article

References (71)

1. Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. The Lancet. 2013; 382(9904):1575-86.
2. American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-IV-TR. Arlington, Virginia, U.S.A: American Psychiatric Publishing, Inc.; 2000.
3. American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5. Arlington, Virginia, U.S.A: American Psychiatric Publishing, Inc.; 2013.
4. Rapaport MH, Schneider LS, Dunner DL, Davies JT, Pitts CD. Efficacy of controlled-release paroxetine in the treatment of late-life depression. The Journal of clinical psychiatry. 2003; 64(9):1065-74. PMID: 14628982
5. Trivedi MH, Rush AJ, Wisniewski SR, Nierenberg AA, Warden D, Ritz L, et al. Evaluation of outcomes with citalopram for depression using measurement-based care in STAR∗ D: implications for clinical practice. American journal of Psychiatry. 2006; 163(1):28-40. PMID: 16390886
6. Bennabi D, Aouizerate B, El-Hage W, Doumy O, Moliere F, Courtet P, et al. Risk factors for treatment resistance in unipolar depression: A systematic review. Journal of affective disorders. 2015; 171:137-41. doi: 10.1016/j.jad.2014.09.020 PMID: 25305428
7. Fava M. Diagnosis and definition of treatment-resistant depression. Biological psychiatry. 2003; 53 (8):649-59. PMID: 12706951
8. Sackheim H. The definition and meaning of treatment-resistant depression. Journal of Clinical Psychiatry. 2001; 62(suppl 16):10-7. PMID: 11480879
9. Shah P, Glabus M, Goodwin G, Ebmeier K. Chronic, treatment-resistant depression and right frontostriatal atrophy. The British Journal of Psychiatry. 2002; 180(5):434-40.
10. Shah PJ, Ebmeier KP, Glabus MF, Goodwin GM. Cortical grey matter reductions associated with treatment-resistant chronic unipolar depression. Controlled magnetic resonance imaging study. The British journal of psychiatry. 1998; 172(6):527-32.
11. Maller JJ, Daskalakis ZJ, Thomson RH, Daigle M, Barr MS, Fitzgerald PB. Hippocampal volumetrics in treatment-resistant depression and schizophrenia: The devil's in De-Tail. Hippocampus. 2012; 22(1):9-16. doi:10.1002/hipo.20873 PMID: 20882552
12. Furtado CP, Maller JJ, Fitzgerald PB. A magnetic resonance imaging study of the entorhinal cortex in treatment-resistant depression. Psychiatry Research: Neuroimaging. 2008; 163(2):133-42. doi: 10.1016/j.pscychresns.2007.11.005 PMID: 18511243
13. Haubold A, Peterson BS, Bansal R. Annual Research Review: Progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders. Journal of Child Psychology and Psychiatry. 2012; 53(5):519-35. doi: 10.1111/j.1469-7610.2012.02539.x PMID: 22394424
14. Koolschijn P, van Haren NEM, Lensvelt-Mulders GJLM, Pol H, Hilleke E, Kahn RS. Brain volume abnormalities in major depressive disorder: A meta-analysis of magnetic resonance imaging studies. Human brain mapping. 2009; 30(11):3719-35. doi: 10.1002/hbm.20801 PMID: 19441021
15. Fu CHY, Russell T, Murray R, Weinberger DR. Neuroimaging in psychiatry: Martin Dunitz; 2003.
16. Bora E, Fornito A, Pantelis C, Yücel M. Gray matter abnormalities in major depressive disorder: a metaanalysis of voxel based morphometry studies. Journal of affective disorders. 2012; 138(1):9-18.
17. Kempton MJ, Salvador Z, Munafò MR, Geddes JR, Simmons A, Frangou S, et al. Structural neuroimaging studies in major depressive disorder: meta-analysis and comparison with bipolar disorder. Archives of general psychiatry. 2011; 68(7):675. doi: 10.1001/archgenpsychiatry.2011.60 PMID: 21727252
18. Kipli K, Kouzani AZ, Joordens M, editors. Evaluation of Feature Selection Algorithms for Detection of Depression from Brain sMRI Scans. Proceedings of 2013 ICME International Conference on Complex Medical Engineering; 2013; Beijing.
19. Costafreda SG, Chu C, Ashburner J, Fu CHY. Prognostic and Diagnostic Potential of the Structural Neuroanatomy of Depression. PLoS ONE. 2009; 4(7):e6353. doi: 10.1371/journal.pone.0006353 PMID: 19633718
20. Mwangi B, Ebmeier KP, Matthews K, Douglas Steele J. Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder. Brain. 2012; 135 (5):1508-21. PMID: 22544901.
21. Mwangi B, Matthews K, Steele JD. Prediction of illness severity in patients with major depression using structural MR brain scans. Journal Of Magnetic Resonance Imaging: JMRI. 2012; 35(1):64-71. PMID: 21959677. doi: 10.1002/jmri.22806
22. Sheehan DV, Lecrubier Y. Mini-International Psychiatric Interview. MINI PLUS English Version. 1992; 5(0).
23. Nelson HE. National Adult Reading Test (NART): Test manual. Windsor, Berks: Nelson Publishing Company; 1982.
24. Oldfield RC. The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia. 1971; 9(1):97-113. PMID: 5146491
25. McRobbie DW, Moore EA, Graves MJ, Prince MR. MRI from Picture to Proton. 2nd edition ed. New York: Cambridge University Press; 2010.
26. Ashburner J, Barnes G, Chen C-C, Daunizeau J, Flandin G, Friston K, et al. SPM8 Manual. 2012.
27. Schwaighofer A. SVM toolbox. 2.51 ed. Retrieved from http://vision.ucsd.edu/~pdollar/toolbox/piotr-toolbox-V2.60.zip2001.
28. Bishop CM. Pattern recognition and machine learning. Jordan M, Kleinberg J, Scholkopf B, editors: Springer; 2006.
29. Johnston BA, Mwangi B, Matthews K, Coghill D, Steele JD. Predictive classification of individual magnetic resonance imaging scans from children and adolescents. European Child & Adolescent Psychiatry. 2013; 22(12):733-44.
30. Slotnick SD, Moo LR, Segal JB, Hart J Jr. Distinct prefrontal cortex activity associated with item memory and source memory for visual shapes. Brain Research Cognitive Brain Research. 2003; 17(1):75-82. PMID: 12763194.
31. Schrouff J, Rosa MJ, Rondina JM, Marquand AF, Chu C, Ashburner J, et al. PRoNTo: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics. 2013. PMID: 23417655.
32. Tipping ME. Sparse bayesian learning and the relevance vector machine. J Mach Learn Res. 2001; 1:211-44.
33. Crozier R. Goodness of Fit (gfit2) http://www.mathworks.com/matlabcentral/fileexchange/22020-goodness-of-fit-modified/content/gfit2.m2009.
34. Hazari H, Christmas D, Matthews K. The clinical utility of different quantitative methods for measuring treatment resistance in major depression. Journal of affective disorders. 2013; 150(2):231-6. doi: 10.1016/j.jad.2013.03.030 PMID: 23668902
35. Petersen T, Papakostas GI, Posternak MA, Kant A, Guyker WM, Iosifescu DV, et al. Empirical testing of two models for staging antidepressant treatment resistance. Journal of clinical psychopharmacology. 2005; 25(4):336-41. PMID: 16012276
36. Rush AJ, Trivedi MH, Ibrahim HM, Carmody TJ, Arnow B, Klein DN, et al. The 16-Item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biological Psychiatry. 2003; 54(5):573-83. http://dx.doi.org/10.1016/S0006-3223(02)01866-8. PMID: 12946886
37. Zimmerman M, Martinez JH, Young D, Chelminski I, Dalrymple K. Severity classification on the Hamilton depression rating scale. Journal of affective disorders. 2013; 150(2):384-8. doi: 10.1016/j.jad.2013. 04.028 PMID: 23759278
38. Lawson RP, Drevets WC, Roiser JP. Defining the habenula in human neuroimaging studies. Neuroimage. 2013; 64:722-7. doi: 10.1016/j.neuroimage.2012.08.076 PMID: 22986224
39. Sprengelmeyer R, Steele JD, Mwangi B, Kumar P, Christmas D, Milders M, et al. The insular cortex and the neuroanatomy of major depression. Journal of affective disorders. 2011; 133(1):120-7.
40. Takahashi T, Yücel M, Lorenzetti V, Tanino R, Whittle S, Suzuki M, et al. Volumetric MRI study of the insular cortex in individuals with current and past major depression. Journal of affective disorders. 2010; 121(3):231-8. doi: 10.1016/j.jad.2009.06.003 PMID: 19540599
41. Craig A. How do you feel-now? the anterior insula and human awareness. 2009.
42. Hwang J-P, Lee T-W, Tsai S-J, Chen T-J, Yang C-H, Lirng J-F, et al. Cortical and subcortical abnormalities in late-onset depression with history of suicide attempts investigated with MRI and voxel-based morphometry. Journal of geriatric psychiatry and neurology. 2010; 23(3):171-84. doi: 10.1177/0891988710363713 PMID: 20430976
43. Soriano-Mas C, Hernández-Ribas R, Pujol J, Urretavizcaya M, Deus J, Harrison BJ, et al. Cross-sectional and longitudinal assessment of structural brain alterations in melancholic depression. Biological psychiatry. 2011; 69(4):318-25. doi: 10.1016/j.biopsych.2010.07.029 PMID: 20875637
44. Lui S, Wu Q, Qiu L, Yang X, Kuang W, Chan RC, et al. Resting-state functional connectivity in treatment-resistant depression. American Journal of Psychiatry. 2011; 168(6):642-8. doi: 10.1176/appi.ajp. 2010.10101419 PMID: 21362744
45. Redlich R, Almeida JR, Grotegerd D, Opel N, Kugel H, Heindel W, et al. Brain Morphometric Biomarkers Distinguishing Unipolar and Bipolar Depression: A Voxel-Based Morphometry-Pattern Classification Approach. JAMA psychiatry. 2014; 71(11):1222-30. doi: 10.1001/jamapsychiatry.2014.1100 PMID: 25188810
46. Schermuly I, Wolf D, Lieb K, Stoeter P, Fellgiebel A. State dependent posterior hippocampal volume increases in patients with major depressive disorder. Journal of affective disorders. 2011; 135 (1):405-9.
47. Moore GJ, Bebchuk JM, Wilds IB, Chen G, Menji HK. Lithium-induced increase in human brain grey matter. The Lancet. 2000; 356(9237):1241-2.
48. Santarelli L, Saxe M, Gross C, Surget A, Battaglia F, Dulawa S, et al. Requirement of hippocampal neurogenesis for the behavioral effects of antidepressants. Science. 2003; 301(5634):805-9. PMID: 12907793
49. Sahay A, Hen R. Adult hippocampal neurogenesis in depression. Nature neuroscience. 2007; 10 (9):1110-5. PMID: 17726477
50. Frodl T, Jäger M, Smajstrlova I, Born C, Bottlender R, Palladino T, et al. Effect of hippocampal and amygdala volumes on clinical outcomes in major depression: a 3-year prospective magnetic resonance imaging study. Journal of psychiatry & neuroscience: JPN. 2008; 33(5):423.
51. Butters MA, Aizenstein HJ, Hayashi KM, Meltzer CC, Seaman J, Reynolds III CF, et al. Three-Dimensional Surface Mapping of the Caudate Nucleus in Late-Life Depression. The American Journal of Geriatric Psychiatry. 2009; 17(1):4-12. http://dx.doi.org/10.1097/JGP.0b013e31816ff72b. doi: 10.1097/JGP.0b013e31816ff72b PMID: 18790876
52. Kim MJ, Hamilton JP, Gotlib IH. Reduced caudate gray matter volume in women with major depressive disorder. Psychiatry Research: Neuroimaging. 2008; 164(2):114-22. http://dx.doi.org/10.1016/j. pscychresns.2007.12.020. doi: 10.1016/j.pscychresns.2007.12.020 PMID: 18930633
53. Krishnan K, McDonald WM, Escalona PR, Doraiswamy PM, Na C, Husain MM, et al. Magnetic resonance imaging of the caudate nuclei in depression: preliminary observations. Archives of general psychiatry. 1992; 49(7):553. PMID: 1627046
54. Parashos IA, Tupler LA, Blitchington T, Krishnan KRR. Magnetic-resonance morphometry in patients with major depression. Psychiatry Research: Neuroimaging. 1998; 84(1):7-15. http://dx.doi.org/10.1016/S0925-4927(98)00042-0. PMID: 9870413
55. Pillay SS, Renshaw PF, Bonello CM, Lafer B, Fava M, Yurgelun-Todd D. A quantitative magnetic resonance imaging study of caudate and lenticular nucleus gray matter volume in primary unipolar major depression: relationship to treatment response and clinical severity. Psychiatry Research: Neuroimaging. 1998; 84(2-3):61-74. http://dx.doi.org/10.1016/S0925-4927(98)00048-1. PMID: 10710164
56. Bluhm R, Williamson P, Lanius R, Théberge J, Densmore M, Bartha R, et al. Resting state defaultmode network connectivity in early depression using a seed region-of-interest analysis: Decreased connectivity with caudate nucleus. Psychiatry and Clinical Neurosciences. 2009; 63(6):754-61. doi: 10.1111/j.1440-1819.2009.02030.x PMID: 20021629
57. Lacerda ALT, Nicoletti MA, Brambilla P, Sassi RB, Mallinger AG, Frank E, et al. Anatomical MRI study of basal ganglia in major depressive disorder. Psychiatry Research: Neuroimaging. 2003; 124(3):129-40. http://dx.doi.org/10.1016/S0925-4927(03)00123-9. PMID: 14623065
58. Lenze EJ, Sheline YI. Absence of striatal volume differences between depressed subjects with no comorbid medical illness and matched comparison subjects. American Journal of Psychiatry. 1999; 156(12):1989-91. PMID: 10588417
59. O'Doherty J, Dayan P, Schultz J, Deichmann R, Friston K, Dolan RJ. Dissociable roles of ventral and dorsal striatum in instrumental conditioning. Science. 2004; 304(5669):452-4. PMID: 15087550
60. Elkis H, Friedman L, Wise A, Meltzer HY. Meta-analyses of studies of ventricular enlargement and cortical sulcal prominence in mood disorders: comparisons with controls or patients with schizophrenia. Archives of General Psychiatry. 1995; 52(9):735. PMID: 7654125
61. Soares JC, Mann JJ. The anatomy of mood disorders-review of structural neuroimaging studies. Biological psychiatry. 1997; 41(1):86-106. PMID: 8988799
62. Andreasen NC, Olsen SA, Dennert JW, Smith MR. Ventricular enlargement in schizophrenia: Relationship to positive and negative symptoms. Am J Psychiatry. 1982; 139(3):297-302. PMID: 7058942
63. Ranft K, Dobrowolny H, Krell D, Bielau H, Bogerts B, Bernstein H-G. Evidence for structural abnormalities of the human habenular complex in affective disorders but not in schizophrenia. Psychological Medicine. 2010; 40(04):557-67. doi: 10.1017/S0033291709990821
64. Savitz JB, Nugent AC, Bogers W, Roiser JP, Bain EE, Neumeister A, et al. Habenula Volume in Bipolar Disorder and Major Depressive Disorder: A High-Resolution Magnetic Resonance Imaging Study. Biological Psychiatry. 2011; 69(4):336-43. http://dx.doi.org/10.1016/j.biopsych.2010.09.027. doi: 10.1016/j.biopsych.2010.09.027 PMID: 21094939
65. Savitz JB, Bonne O, Nugent AC, Vythilingam M, Bogers W, Charney DS, et al. Habenula volume in post-traumatic stress disorder measured with high-resolution MRI. Biol Mood Anxiety Disord. 2011; 1:7. doi: 10.1186/2045-5380-1-7 PMID: 22738208
66. Sartorius A, Henn FA. Deep brain stimulation of the lateral habenula in treatment resistant major depression. Medical hypotheses. 2007; 69(6):1305-8. PMID: 17498883
67. Hoexter MQ, Miguel EC, Diniz JB, Shavitt RG, Busatto GF, Sato JR. Predicting obsessive-compulsive disorder severity combining neuroimaging and machine learning methods. Journal of Affective Disorders. 2013; 150(3):1213-6. http://dx.doi.org/10.1016/j.jad.2013.05.041. doi: 10.1016/j.jad.2013.05.041 PMID: 23769292
68. Wang Y, Fan Y, Bhatt P, Davatzikos C. High-dimensional pattern regression using machine learning: from medical images to continuous clinical variables. Neuroimage. 2010; 50(4):1519-35. PMID: 20056158. doi: 10.1016/j.neuroimage.2009.12.092
69. Stonnington CM, Chu C, Klöppel S, Jack CR Jr., Ashburner J, Frackowiak RSJ. Predicting clinical scores from magnetic resonance scans in Alzheimer's disease. Neuroimage. 2010; 51(4):1405-13. PMID: 20347044. doi: 10.1016/j.neuroimage.2010.03.051
70. Sapolsky RM. Depression, antidepressants, and the shrinking hippocampus. Proceedings of the National Academy of Sciences. 2001; 98(22):12320-2.
71. Dorée J-P, Rosiers JD, Lew V, Gendron A, Elie R, Stip E, et al. Quetiapine augmentation of treatmentresistant depression: a comparison with lithium. Current Medical Research and Opinion. 2007; 23 (2):333-41. PMID: 17288688