주요우울장애 환자에서 소뇌 국소 부위의 부피와 피질 두께의 차이 = Changes in the Volume and Cortical Thickness of the Specific Regions of Cerebellum of Patients with Major Depressive Disorder

다국어 초록 (Multilingual Abstract)

Objectives A growing body of evidence has suggested that morphologic changes in cerebellum may be implicated with pathophysiology of major depressive disorder (MDD). The aim of this study is to investigate a difference in the volume and cortical thickness of the specific region of cerebellum between patients with MDD and healthy controls (HC). Methods A total of 127 patients with MDD and 105 HC participated in this study and underwent T1-weighted structural magnetic resonance imaging. We analyzed volume and cortical thickness of each twelve cerebellum regions divided by left and right and the volume and cortical thickness of the whole cerebellum from T1-weigted image of participants. One-way analysis of covariance was used to investigate the volume and cortical thickness difference of total and specific regions between two groups adjusting for age, gender, medication, and total intracranial cavity volume. Results We found that the patients with MDD had significantly greater volume in the left cerebellum lobule III region [false discovery rate (FDR)-corrected p = 0.034] compared to HC. Also, our findings indicate that cortical thickness of left lobule VIIB (FDR-corrected p = 0.032) and lobule VIIIB (FDR-corrected p = 0.032) are significantly thinner in the patients with MDD compared with the HC. No significant volume and cortical thickness differences were observed in other sub-regions of the cerebellum. The volumes and cortical thickness of whole cerebellum between patients with MDD and HC did not differ significantly. Conclusions We observed the region-specific volume and cortical thickness difference in cerebellum between the patients with MDD and HC. The results of our study implicate that the information about structural alterations in cerebellum with further replicative studies might provide a stepping stone toward a specific marker to diagnose MDD.

참고문헌 (Reference)

1 Grieve SM, "Widespread reductions in gray matter volume in depression" 3 : 332-339, 2013

2 Tae WS, "Validation of hippocampal volumes measured using a manual method and two automated methods (FreeSurfer and IBASPM) in chronic major depressive disorder" 50 : 569-581, 2008

3 Choi EY, "The organization of the human striatum estimated by intrinsic functional connectivity" 108 : 2242-2263, 2012

4 Armstrong E, "The ontogeny of human gyrification" 5 : 56-63, 1995

5 Zhang WN, "The neural correlates of reward-related processing in major depressive disorder: a meta-analysis of functional magnetic resonance imaging studies" 151 : 531-539, 2013

6 Rubia K, "The neural correlates of cognitive time management: a review" 64 : 329-340, 2004

7 Fine EJ, "The history of the development of the cerebellar examination" 22 : 375-384, 2002

8 Anacker C, "The glucocorticoid receptor: pivot of depression and of antidepressant treatment?" 36 : 415-425, 2011

9 Kessler RC, "The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R)" 289 : 3095-3105, 2003

10 Riva D, "The cerebellum contributes to higher functions during development: evidence from a series of children surgically treated for posterior fossa tumours" 123 : 1051-1061, 2000

11 Ivry RB, "The cerebellum and event timing" 978 : 302-317, 2002

12 Buckner RL, "The brain's default network: anatomy, function, and relevance to disease" 1124 : 1-38, 2008

13 Voogd J, "The anatomy of the cerebellum" 2 : 307-313, 1998

14 Heimer L, "The Human Brain and Spinal Cord: Functional Neuroanatomy and Dissection Guide" Springer Science & Business Media 2012

15 Peng D, "Surface vulnerability of cerebral cortex to major depressive disorder" 10 : e0120704-, 2015

16 Kempton MJ, "Structural neuroimaging studies in major depressive disorder. Meta-analysis and comparison with bipolar disorder" 68 : 675-690, 2011

17 Griffin JL, "Spectral profiles of cultured neuronal and glial cells derived from HRMAS (1) H NMR spectroscopy" 15 : 375-384, 2002

18 Krienen FM, "Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity" 19 : 2485-2497, 2009

19 Escalona PR, "Reduction of cerebellar volume in major depression: a controlled MRI study" 1 : 156-158, 1993

20 Chakravarty MM, "Performing label-fusion-based segmentation using multiple automatically generated templates" 34 : 2635-2654, 2013

21 Miall RC, "Neuroscience in the 21st Century" Springer 1149-1167, 2013

22 Levisohn L, "Neuropsychological consequences of cerebellar tumour resection in children: cerebellar cognitive affective syndrome in a paediatric population" 123 : 1041-1050, 2000

23 Price JL, "Neural circuits underlying the pathophysiology of mood disorders" 16 : 61-71, 2012

24 Graham J, "Meta-analytic evidence for neuroimaging models of depression: state or trait?" 151 : 423-431, 2013

25 Kupfer DJ, "Major depressive disorder: new clinical, neurobiological, and treatment perspectives" 379 : 1045-1055, 2012

26 Arnone D, "Magnetic resonance imaging studies in unipolar depression: systematic review and meta-regression analyses" 22 : 1-16, 2012

27 Jarnum H, "Longitudinal MRI study of cortical thickness, perfusion, and metabolite levels in major depressive disorder" 124 : 435-446, 2011

28 Willard SL, "Long term sertraline effects on neural structures in depressed and nondepressed adult female nonhuman primates" 99 : 369-378, 2015

29 Kaiser RH, "Largescale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity" 72 : 603-611, 2015

30 Miller AH, "Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression" 65 : 732-741, 2009

31 Lee KH, "Increased cerebellar vermis white-matter volume in men with schizophrenia" 41 : 645-651, 2007

32 Collin G, "Impaired cerebellar functional connectivity in schizophrenia patients and their healthy siblings" 2 : 73-, 2011

33 Phillips ML, "Identifying predictors, moderators, and mediators of antidepressant response in major depressive disorder: neuroimaging approaches" 172 : 124-138, 2015

34 Winkler AM, "Heritability of volume, surface area and thickness for anatomically defined cortical brain regions estimated in a large extended pedigree" 47 : S162-, 2009

35 Bora E, "Gray matter abnormalities in major depressive disorder: a meta-analysis of voxel based morphometry studies" 138 : 9-18, 2012

36 Fatemi SH, "Glial fibrillary acidic protein is reduced in cerebellum of subjects with major depression, but not schizophrenia" 69 : 317-323, 2004

37 Stoodley CJ, "Functional topography of the cerebellum for motor and cognitive tasks: an fMRI study" 59 : 1560-1570, 2012

38 Stoodley CJ, "Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies" 44 : 489-501, 2009

39 Drevets WC, "Functional anatomical abnormalities in limbic and prefrontal cortical structures in major depression" 126 : 413-431, 2000

40 Pizzagalli DA, "Frontocingulate dysfunction in depression: toward biomarkers of treatment response" 36 : 183-206, 2011

41 Kong L, "Frontal-subcortical volumetric deficits in single episode, medication-naive depressed patients and the effects of 8 weeks fluoxetine treatment: a VBMDARTEL study" 9 : e79055-, 2014

42 Stoodley CJ, "Distinct regions of the cerebellum show gray matter decreases in autism, ADHD, and developmental dyslexia" 8 : 92-, 2014

43 Panizzon MS, "Distinct genetic influences on cortical surface area and cortical thickness" 19 : 2728-2735, 2009

44 Habas C, "Distinct cerebellar contributions to intrinsic connectivity networks" 29 : 8586-8594, 2009

45 Schmahmann JD, "Disorders of the cerebellum: ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome" 16 : 367-378, 2004

46 Park MTM, "Derivation of high-resolution MRI atlases of the human cerebellum at 3 T and segmentation using multiple automatically generated templates" 95 : 217-231, 2014

47 Frodl TS, "Depression-related variation in brain morphology over 3 years: effects of stress?" 65 : 1156-1165, 2008

48 Moussavi S, "Depression, chronic diseases, and decrements in health: results from the World Health Surveys" 370 : 851-858, 2007

49 Winkler AM, "Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies" 53 : 1135-1146, 2010

50 Benjamini Y, "Controlling the false discovery rate: a practical and powerful approach to multiple testing" 57 : 289-300, 1995

51 Peng J, "Cerebral and cerebellar gray matter reduction in first-episode patients with major depressive disorder: a voxel-based morphometry study" 80 : 395-399, 2011

52 Yucel K, "Cerebellar vermis volume in major depressive disorder" 218 : 851-858, 2013

53 Romero JE, "CERES: a new cerebellum lobule segmentation method" 147 : 916-924, 2017

54 Koolschijn PC, "Brain volume abnormalities in major depressive disorder: a meta-analysis of magnetic resonance imaging studies" 30 : 3719-3735, 2009

55 Zhao YJ, "Brain grey matter abnormalities in medication-free patients with major depressive disorder: a meta-analysis" 44 : 2927-2937, 2014

56 Harris GJ, "Brain activation during semantic processing in autism spectrum disorders via functional magnetic resonance imaging" 61 : 54-68, 2006

57 Nixon NL, "Biological vulnerability to depression: linked structural and functional brain network findings" 204 : 283-289, 2014

58 Smith R, "Antidepressant effects of sertraline associated with volume increases in dorsolateral prefrontal cortex" 146 : 414-419, 2013

59 Giraud R, "An Optimized PatchMatch for multi-scale and multi-feature label fusion" 124 : 770-782, 2016

60 Alalade E, "Altered cerebellar-cerebral functional connectivity in geriatric depression" 6 : e20035-, 2011

61 Han KM, "Alterations in the brainstem volume of patients with major depressive disorder and their relationship with antidepressant treatment" 208 : 68-75, 2017

62 Depping MS, "Abnormal cerebellar volume in acute and remitted major depression" 71 : 97-102, 2016

63 Rousseau F, "A supervised patch-based approach for human brain labeling" 30 : 1852-1862, 2011

64 Hamilton M, "A rating scale for depression" 23 : 56-62, 1960

65 Pillay SS, "A quantitative magnetic resonance imaging study of cerebral and cerebellar gray matter volume in primary unipolar major depression: relationship to treatment response and clinical severity" 42 : 79-84, 1997