Adolescents with current major depressive disorder show dissimilar patterns of age-related differences in ACC and thalamus

NeuroImage: Clinical

Volumn 7, Issue , 2015, Pages 391-399

  Hagan, Cindy C ^a,b   Graham, Julia M E ^a   Tait, Roger ^a,c   Widmer, Barry ^a   Van Nieuwenhuizen, Adrienne O ^a   Ooi, Cinly ^a   Whitaker, Kirstie J ^a   Simas, Tiago ^a   Bullmore, Edward T ^a,c   Lennox, Belinda R ^a,d   Sahakian, Barbara J ^a,c   Goodyer, Ian M ^a   Suckling, John ^a,c  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b Howard Hughes Medical Institute   (United States)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Adolescence; Cingulate; Depression; MRI; Thalamus; Voxel based morphometry

Indexed keywords

CITALOPRAM; FLUOXETINE; PROPRANOLOL; SERTRALINE;

ADOLESCENT; ADOLESCENT DISEASE; AGE; ANTERIOR CINGULATE; ARTICLE; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DISEASE SEVERITY; FEMALE; GRAY MATTER; GROUPS BY AGE; HANDEDNESS; HUMAN; MAJOR CLINICAL STUDY; MAJOR DEPRESSION; MALE; NEUROIMAGING; PRIORITY JOURNAL; SELF REPORT; THALAMUS; VOXEL BASED MORPHOMETRY; CHILD; CINGULATE GYRUS; COMPUTER ASSISTED DIAGNOSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY;

ADOLESCENT; CHILD; CROSS-SECTIONAL STUDIES; DEPRESSIVE DISORDER, MAJOR; FEMALE; GRAY MATTER; GYRUS CINGULI; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; THALAMUS;

EID: 84921675664     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2014.12.019     Document Type: Article

References (58)

1. Andersen S.L., and Teicher M.H. Stress, sensitive periods and maturational events in adolescent depression Trends Neurosci. 31 4 2008 183 191 10.1016/j.tins.2008.01.004 18329735
2. Andersen S.L., Tomada A., Vincow E.S., Valente E., Polcari A., and Teicher M.H. Preliminary evidence for sensitive periods in the effect of childhood sexual abuse on regional brain development J. Neuropsychiatry Clin. Neurosci. 20 3 2008 292 301 10.1176/appi.neuropsych.20.3.292 18806232
3. Andersson J., Jenkinson M., and Smith S. Non-linear registration, aka spatial normalisation 2007 FMRIB Technical Report TR07JA2. http://www.fmrib.ox.ac.uk/analysis/techrep. Last revised 2007. Accessed December 1, 2013.
4. Angold A., Costello E.J., Messer S.C., Pickles A., and Winder F. Silver development of a short-questionnaire for use in epidemiological studies of depression in children and adolescents Int. J. Methods Psychiatr. Res. 5 1995 237 249
5. Angold A., Costello E.J., Pickles A., and Winder F. The Development of a Questionnaire for Use in a Epidemiological Studies in Children and Adolescents 1987 MRC Child Psychiatry Research Unit
6. Barnes J., Ridgway G.R., Bartlett J., Henley S.M., Lehmann M., Hobbs N., Clarkson M.J., MacManus D.G., Ourselin S., and Fox N.C. Headsize, age and gender adjustment in MRI studies: a necessary nuisance? Neuroimage 53 4 2010 1244 1255 10.1016/j.neuroimage.2010.06.025 20600995
7. Belsky J., and Pluess M. Beyond risk, resilience, and dysregulation: phenotypic plasticity and human development Dev. Psychopathol. 25 4 2 2013 1243 1261 10.1017/S095457941300059X 24342838
8. Bora E., Fornito A., Pantelis C., and Yücel M. Gray matter abnormalities in Major depressive disorder: a meta-analysis of voxel based morphometry studies J. Affect. Disord. 138 1-2 2012 9 18 10.1016/j.jad.2011.03.049 21511342
9. Brodbeck J., Goodyer I.M., and Abbott R.A. General distress, hopelessness-suicidal ideation and worrying in adolescence: concurrent and predictive validity of a symptom-level bifactor model for clinical diagnoses J. Affect. Disord. 152-154 2014 299 305 10.1016/j.jad.2013.09.029 24238952
10. Chen C.H., Ridler K., and Suckling J. Brain imaging correlates of depressive symptom severity and predictors of symptom improvement after antidepressant treatment Biol. Psychiatry 62 5 2007 407 414 10.1016/j.biopsych.2006.09.018 17217921
11. Douaud G., Smith S., and Jenkinson M. Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia Brain 130 9 2007 2375 2386 10.1093/brain/awm184 17698497
12. Drevets W.C. Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders Curr. Opin. Neurobiol. 11 2 2001 240 249 10.1016/S0959-4388(00)00203-8 11301246
13. Friston K.J. Testing for anatomically specified regional effects Hum. Brain Mapp. 5 2 1997 133 136 10.1002/(SICI)1097-0193(1997)5:2<133::AID-HBM7>3.0.CO;2-4 10096418
14. Gogtay N., Giedd J.N., and Lusk L. Dynamic mapping of human cortical development during childhood through early adulthood Proc. Natl. Acad. Sci. U S A 101 21 2004 8174 8179 10.1073/pnas.0402680101 15148381
15. Good C.D., Johnsrude I.S., Ashburner J., Henson R.N., Friston K.J., and Frackowiak R.S. A voxel-based morphometric study of ageing in 465 normal adult human brains NeuroImage 14 1 1 2001 21 36 10.1006/nimg.2001.0786 11525331
16. Goodyer I., Dubicka B., Wilkinson P., et al, A randomised controlled trial of cognitive behaviour therapy in adolescents with major depression treated by selective serotonin reuptake inhibitors. The ADAPT trial. Health Technol Assess, 12(14) (2008) iii-iv, [doi:10.3310/hta12140]
17. Goodyer I., Tsancheva S., and Byford S. Improving mood with psychoanalytic and cognitive therapies (IMPACT): a pragmatic effectiveness superiority trial to investigate whether specialized psychological treatment reduces the risk for relapse in adolescents with moderate to severe depression: study protocol for a randomized controlled trial Trials 12 2011 1 12
18. Gotlib I.H., Hamilton J.P., Cooney R.E., Singh M.K., Henry M.L., and Joormann J. Neural processing of reward and loss in girls at risk for major depression Arch. Gen. Psychiatry 67 4 2010 380 387 10.1001/archgenpsychiatry.2010.13 20368513
19. Graham J., Salimi-Khorshidi G., and Hagan C. Meta-analytic evidence for neuroimaging models of depression: state or trait? J. Affect. Disord. 151 2 2013 423 431 10.1016/j.jad.2013.07.002 23890584
20. Grieve S.M., Korgaonkar M.S., Koslow S.H., Gordon E., and Williams L.M. Widespread reductions in gray matter volume in depression Neuroimage Clin. 3 2013 332 339 10.1016/j.nicl.2013.08.016 24273717
21. Hagan C.C., Graham J.M., and Widmer B. Magnetic resonance imaging of a randomized controlled trial investigating predictors of recovery following psychological treatment in adolescents with moderate to severe unipolar depression: study protocol for Magnetic Resonance-Improving Mood with Psychoanalytic and Cognitive Therapies (MR-IMPACT) BMC Psychiatry 13 2013 247 10.1186/1471-244X-13-247 24094274
22. Hamilton J.P., Etkin A., Furman D.J., Lemus M.G., Johnson R.F., and Gotlib I.H. Functional neuroimaging of major depressive disorder: a meta-analysis and new integration of baseline activation and neural response data Am. J. Psychiatry 169 7 2012 693 703 10.1176/appi.ajp.2012.11071105 22535198
23. Hedman A.M., van Haren N.E., Schnack H.G., Kahn R.S., and Hulshoff Pol H.E. Human brain changes across the life span: a review of 56 longitudinal magnetic resonance imaging studies Hum. Brain Mapp. 33 8 2012 1987 2002 10.1002/hbm.21334 21915942
24. Jenkinson M., Bannister P., Brady M., and Smith S. Improved optimization for the robust and accurate linear registration and motion correction of brain images NeuroImage 17 2 2002 825 841 10.1006/nimg.2002.1132 12377157
25. Jenkinson M., and Smith S. A global optimisation method for robust affine registration of brain images Med. Image Anal. 5 2 2001 143 156 10.1016/S1361-8415(01)00036-6
26. Jones P.B. Adult mental health disorders and their age at onset The British Journal of Psychiatry 202 2013 s5 s10 10.1192/bjp.bp.112.119164
27. Kaufman J., Birmaher B., and Brent D. Schedule for Affective Disorders and Schizophrenia for School-Age Children - Present and Lifetime Version (K-SADS-PL): initial reliability and validity data J. Am. Acad. Child Adolesc. Psychiatry 36 7 1997 980 988 10.1097/00004583-199707000-00021 9204677
28. Kendler K.S., Thornton L.M., and Gardner C.O. Stressful life events and previous episodes in the etiology of major depression in women: an evaluation of the "kindling" hypothesis Am. J. Psychiatry 157 8 2000 1243 1251 10.1176/appi.ajp.157.8.1243 10910786
29. Klein J.C., Rushworth M.F., and Behrens T.E. Topography of connections between human prefrontal cortex and mediodorsal thalamus studied with diffusion tractography NeuroImage 51 2 2010 555 564 10.1016/j.neuroimage.2010.02.062 20206702
30. Kuyken W., and Dalgleish T. Overgeneral autobiographical memory in adolescents at risk for depression Memory 19 3 2011 241 250 10.1080/09658211.2011.554421 21400355
31. Lebel C., Walker L., Leemans A., Phillips L., and Beaulieu C. Microstructural maturation of the human brain from childhood to adulthood NeuroImage 40 3 2008 1044 1055 10.1016/j.neuroimage.2007.12.053 18295509
32. Lenroot R.K., and Giedd J.N. Brain development in children and adolescents: insights from anatomical magnetic resonance imaging Neurosci. Biobehav. Rev. 30 6 2006 718 729 10.1016/j.neubiorev.2006.06.001 16887188
33. MacMaster F.P., Carrey N., Langevin L.M., Jaworska N., and Crawford S. Disorder-specific volumetric brain difference in adolescent major depressive disorder and bipolar depression Brain Imaging Behav. 8 1 2014 119 127 10.1007/s11682-013-9264-x 24158718
34. Marchand W.R., and Yurgelun-Todd D. Striatal structure and function in mood disorders: a comprehensive review Bipolar Disord. 12 8 2010 764 785 10.1111/j.1399-5618.2010.00874.x 21176024
35. Mayberg H.S. Limbic-cortical dysregulation: a proposed model of depression J. Neuropsychiatry Clin. Neurosci. 9 3 1997 471 481 10.1176/jnp.9.3.471 9276848
36. Mayberg H.S. Modulating dysfunctional limbic-cortical circuits in depression: towards development of brain-based algorithms for diagnosis and optimised treatment Br. Med. Bull. 65 2003 193 207 10.1093/bmb/65.1.193 12697626
37. Mills K.L., and Tamnes C.K. Methods and considerations for longitudinal structural brain imaging analysis across development Dev. Cogn. Neurosci. 9 2014 172 190 10.1016/j.dcn.2014.04.004 24879112
38. Nugent A.C., Davis R.M., Zarate C.A. Jr, and Drevets W.C. Reduced thalamic volumes in major depressive disorder Psychiatry Res. 213 3 2013 179 185 10.1016/j.pscychresns.2013.05.004 23850106
39. Paus T. Mapping brain maturation and cognitive development during adolescence Trends Cogn. Sci. 9 2 2005 60 68 10.1016/j.tics.2004.12.008 15668098
40. Paus T., Keshavan M., and Giedd J.N. Why do many psychiatric disorders emerge during adolescence? Nat. Rev. Neurosci. 9 12 2008 947 957 10.1038/nrn2513 19002191
41. Peterson B.S., Wang Z., Horga G., Warner V., Rutherford B., Klahr K.W., Graniello B., Wickramaratne P., Garcia F., Yu S., Hao X., Adams P.B., Qian M., Liu J., Gerber A., and Weissman M.M. Discriminating risk and resilience endophenotypes from lifetime illness effects in familial major depressive disorder JAMA Psychiatry 71 2 2014 136 148 10.1001/jamapsychiatry.2013.4048 24369340
42. Post R.M. Transduction of psychosocial stress into the neurobiology of recurrent affective disorder Am. J. Psychiatry 149 8 1992 999 1010 10.1176/ajp.149.8.999 1353322
43. Price J.L., and Drevets W.C. Neural circuits underlying the pathophysiology of mood disorders Trends Cogn. Sci. 16 1 2012 61 71 10.1016/j.tics.2011.12.011 22197477
44. Robinson O.J., and Sahakian B.J. Recurrence in major depressive disorder: a neurocognitive perspective Psychol. Med. 38 3 2008 315 318 10.1017/S0033291707001249 18298875
45. Roiser J.P., Elliott R., and Sahakian B.J. Cognitive mechanisms of treatment in depression Neuropsychopharmacology 37 1 2012 117 136 10.1038/npp.2011.183
46. Seminowicz D.A., Mayberg H.S., and McIntosh A.R. Limbic-frontal circuitry in major depression: a path modeling metanalysis NeuroImage 22 1 2004 409 418 10.1016/j.neuroimage.2004.01.015 15110034
47. Smith S.M. Fast robust automated brain extraction Hum. Brain Mapp. 17 3 2002 143 155 10.1002/hbm.10062 12391568
48. Smith S.M., Jenkinson M., and Woolrich M.W. Advances in functional and structural MR image analysis and implementation as FSL NeuroImage 23 Suppl. 1 2004 S208 S219 10.1016/j.neuroimage.2004.07.051 15501092
49. Smith S.M., and Nichols T.E. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference NeuroImage 44 1 2009 83 98 10.1016/j.neuroimage.2008.03.061 18501637
50. Tzourio-Mazoyer N., Landeau B., and Papathanassiou D. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain NeuroImage 15 1 2002 273 289 10.1006/nimg.2001.0978
51. Walsh N.D., Dalgleish T., and Dunn V.J. 5-HTTLPR-environment interplay and its effects on neural reactivity in adolescents Neuroimage 63 3 2012 1670 1680 10.1016/j.neuroimage.2012.07.067 23034517
52. Whittle S., Lichter R., and Dennison M. Structural brain development and depression onset during adolescence: a prospective longitudinal study Am. J. Psychiatry 171 2014 564 571 10.1176/appi.ajp.2013.13070920 24577365
53. Wichers M., Geschwind N., van Os J., and Peeters F. Scars in depression: is a conceptual shift necessary to solve the puzzle? Psychol. Med. 40 3 2010 359 365 10.1017/S0033291709990420 20120516
54. Wilkinson P.O., and Goodyer I.M. Childhood adversity and allostatic overload of the hypothalamic-pituitary-adrenal axis: a vulnerability model for depressive disorders Dev. Psychopathol. 23 4 2011 1017 1037 10.1017/S0954579411000472 22018079
55. World Medical Association World Medical Association Declaration of Helsinki Ethical Principles for Medical Research Involving Human Subjects website 2008 http://www.wma.net/e/policy/b3.html. Last Revised, October 2008. Accessed December 1, 2013.
56. Worsley K.J., Marrett S., Neelin P., Vandal A.C., Friston K.J., and Evans A.C. A unified statistical approach for determining significant signals in images of cerebral activation Hum. Brain Mapp. 4 1 1996 58 73 10.1002/(SICI)1097-0193(1996)4:1<58::AID-HBM4>3.0.CO;2-O 20408186
57. Young K.A., Holcomb L.A., Yazdani U., Hicks P.B., and German D.C. Elevated neuron number in the limbic thalamus in major depression Am. J. Psychiatry 161 7 2004 1270 1277 10.1176/appi.ajp.161.7.1270 15229061
58. Zhang Y., Brady M., and Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm IEEE Transactions Med. Imaging 20 1 2001 45 57 10.1109/42.906424 11293691