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Shape Deformation in the Brainstem of Medication-Naïve Female Patients with Major Depressive Disorder

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초록

Objective Although neuroimaging studies have shown volumetric reductions, such as the anterior cingulate, prefrontal cortices, and hippocampus in patients with major depressive disorder (MDD), few studies have investigated the volume of or shape alterations in the subcortical regions and the brainstem. We hypothesized that medication-naïve female adult patients with MDD might present with shape and volume alterations in the subcortical regions, including the brainstem, compared to healthy controls (HCs). Methods A total of 20 medication-naïve female patients with MDD and 21 age-matched female HCs, underwent 3D T1-weighted structural magnetic resonance scanning. We analyzed the volumes of each subcortical region and each brainstem region, including the midbrain, pons, and medulla oblongata. We also performed surface-based vertex analyses on the subcortical areas and brainstem. Results Female patients with MDD showed non-significant volumetric differences in the subcortical regions, whole brainstem, and each brainstem region compared to the HCs. However, in the surface-based vertex analyses, significant shape contractions were observed in both cerebellar peduncles located on the lateral wall of the posterior brainstem [threshold-free cluster enhancement, corrected for family-wise error (FWE) at p<0.05] in patients with MDD. Conclusion We revealed shape alterations in the posterior brainstem in female patients with MDD.

Abstract

Objective Although neuroimaging studies have shown volumetric reductions, such as the anterior cingulate, prefrontal cortices, and hippocampus in patients with major depressive disorder (MDD), few studies have investigated the volume of or shape alterations in the subcortical regions and the brainstem. We hypothesized that medication-naïve female adult patients with MDD might present with shape and volume alterations in the subcortical regions, including the brainstem, compared to healthy controls (HCs). Methods A total of 20 medication-naïve female patients with MDD and 21 age-matched female HCs, underwent 3D T1-weighted structural magnetic resonance scanning. We analyzed the volumes of each subcortical region and each brainstem region, including the midbrain, pons, and medulla oblongata. We also performed surface-based vertex analyses on the subcortical areas and brainstem. Results Female patients with MDD showed non-significant volumetric differences in the subcortical regions, whole brainstem, and each brainstem region compared to the HCs. However, in the surface-based vertex analyses, significant shape contractions were observed in both cerebellar peduncles located on the lateral wall of the posterior brainstem [threshold-free cluster enhancement, corrected for family-wise error (FWE) at p<0.05] in patients with MDD. Conclusion We revealed shape alterations in the posterior brainstem in female patients with MDD.

참고문헌 (86)

  1. Papakostas GI, "Quality of life assessments in major depressive disorder : a review of the literature", Gen Hosp Psychiatry, 26, pp.13~17 (2004)
  2. Rive MM, "Neural correlates of dysfunctional emotion regulation in major depressive disorder. A systematic review of neuroimaging studies", Neurosci Biobehav Rev, 37, pp.2529~2553 (2013)
  3. McIntyre RS, "Cognitive deficits and functional outcomes in major depressive disorder : determinants, substrates, and treatment interventions", Depress Anxiety, 30, pp.515~527 (2013)
  4. World Health Organization, "Depression and Other Common Mental Disorders: Global Health Estimates", World Health Organization, ~ (2017)
  5. Kupfer DJ, "Major depressive disorder : new clinical, neurobiological, and treatment perspectives", Lancet, 379, pp.1045~1055 (2012)
  6. Drevets WC, "Brain structural and functional abnormalities in mood disorders : implications for neurocircuitry models of depression", Brain Struct Funct, 213, pp.93~118 (2008)
  7. Marchand WR, "Striatal structure and function in mood disorders : a comprehensive review", Bipolar Disord, 12, pp.764~785 (2010)
  8. Mayberg HS, "Limbic-cortical dysregulation : a proposed model of depression", J Neuropsychiatry Clin Neurosci, 9, pp.471~481 (1997)
  9. Pizzagalli DA, "Frontocingulate dysfunction in depression : toward biomarkers of treatment response", Neuropsychopharmacology, 36, pp.183~206 (2011)
  10. Ashburner J, "Voxel-based morphometry--the methods", Neuroimage, 11, pp.805~821 (2000)
  11. Bora E, "Gray matter abnormalities in Major Depressive Disorder : a meta-analysis of voxel based morphometry studies", J Affect Disord, 138, pp.9~18 (2012)
  12. Du MY, "Voxelwise metaanalysis of gray matter reduction in major depressive disorder", Prog Neuropsychopharmacol Biol Psychiatry, 36, pp.11~16 (2012)
  13. Lai CH, "Gray matter volume in major depressive disorder : a metaanalysis of voxel-based morphometry studies", Psychiatry Res, 211, pp.37~46 (2013)
  14. Koolschijn PC, "Brain volume abnormalities in major depressive disorder : a meta-analysis of magnetic resonance imaging studies", Hum Brain Mapp, 30, pp.3719~3735 (2009)
  15. Schmaal L, "Subcortical brain alterations in major depressive disorder : findings from the ENIGMA Major Depressive Disorder working group", Mol Psychiatry, 21, pp.806~812 (2016)
  16. Schmaal L, "Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group", Mol Psychiatry, 22, pp.900~909 (2017)
  17. D’Ardenne K, "BOLD responses reflecting dopaminergic signals in the human ventral tegmental area", Science, 319, pp.1264~1267 (2008)
  18. Gervais J, "Dorsal raphe stimulation differentially modulates dopaminergic neurons in the ventral tegmental area and substantia nigra", Synapse, 35, pp.281~291 (2000)
  19. Becker G, "Reduced echogenicity of brainstem raphe specific to unipolar depression : a transcranial color-coded real-time sonography study", Biol Psychiatry, 38, pp.180~184 (1995)
  20. Becker G, "Echogenicity of the brainstem raphe in patients with major depression", Psychiatry Res, 55, pp.75~84 (1994)
  21. Kostic M, "A pilot study on predictors of brainstem raphe abnormality in patients with major depressive disorder", J Affect Disord, 209, pp.66~70 (2017)
  22. Lee HY, "Demonstration of decreased gray matter concentration in the midbrain encompassing the dorsal raphe nucleus and the limbic subcortical regions in major depressive disorder : an optimized voxel-based morphometry study", J Affect Disord, 133, pp.128~136 (2011)
  23. Soriano-Mas C, "Cross-sectional and longitudinal assessment of structural brain alterations in melancholic depression", Biol Psychiatry, 69, pp.318~325 (2011)
  24. Qi H, "Gray matter volume abnormalities in depressive patients with and without anxiety disorders", Medicine(Baltimore), 93, pp.e345~ (2014)
  25. Han KM, "Alterations in the brainstem volume of patients with major depressive disorder and their relationship with antidepressant treatment", J Affect Disord, 208, pp.68~75 (2017)
  26. Bookstein FL, "“Voxel-based morphometry” should not be used with imperfectly registered images", Neuroimage, 14, pp.1454~1462 (2001)
  27. Patenaude B, "A Bayesian model of shape and appearance for subcortical brain segmentation", Neuroimage, 56, pp.907~922 (2011)
  28. Bora E, "Cognitive impairment in euthymic major depressive disorder : a meta-analysis", Psychol Med, 43, pp.2017~2026 (2013)
  29. Smith R, "Antidepressant effects of sertraline associated with volume increases in dorsolateral prefrontal cortex", J Affect Disord, 146, pp.414~419 (2013)
  30. Lavretsky H, "Antidepressant exposure may protect against decrement in frontal gray matter volumes in geriatric depression", J Clin Psychiatry, 66, pp.964~967 (2005)
  31. Hamilton JP, "Amygdala volume in major depressive disorder : a meta-analysis of magnetic resonance imaging studies", Mol Psychiatry, 13, pp.993~1000 (2008)
  32. American Psychiatric Association, "Diagnostic and Statistical Manual of Mental Disorders" (1994), American Psychiatric Press
  33. Oldfield RC, "The assessment and analysis of handedness : the Edinburgh inventory", Neuropsychologia, 9, pp.97~113 (1971)
  34. Williams JB, "A structured interview guide for the Hamilton Depression Rating Scale", Arch Gen Psychiatry, 45, pp.742~747 (1988)
  35. Hamilton M, "Development of a rating scale for primary depressive illness", Br J Soc Clin Psychol, 6, pp.278~296 (1967)
  36. Park HJ, "SENSE factors for reliable cortical thickness measurement", Neuroimage, 40, pp.187~196 (2008)
  37. Tae WS, "Validation of hippocampal volumes measured using a manual method and two automated methods(FreeSurfer and IBASPM)in chronic major depressive disorder", Neuroradiology, 50, pp.569~581 (2008)
  38. Winkler AM, "Permutation inference for the general linear model", Neuroimage, 92, pp.381~397 (2014)
  39. Salimi-Khorshidi G, "Adjusting the effect of nonstationarity in cluster-based and TFCE inference", Neuroimage, 54, pp.2006~2019 (2011)
  40. Iglesias JE, "Bayesian segmentation of brainstem structures in MRI", Neuroimage, 113, pp.184~195 (2015)
  41. Sled JG, "A nonparametric method for automatic correction of intensity nonuniformity in MRI data", IEEE Trans Med Imaging, 17, pp.87~97 (1998)
  42. Fischl B, "Whole brain segmentation : automated labeling of neuroanatomical structures in the human brain", Neuron, 33, pp.341~355 (2002)
  43. Fischl B, "Automatically parcellating the human cerebral cortex", Cereb Cortex, 14, pp.11~22 (2004)
  44. Benjamini Y, "Controlling the false discovery rate-a practical and powerful approach to multiple testing", J R Stat Soc B, 57, pp.289~300 (1995)
  45. Walter U, "Relationship of brainstem raphe echogenicity and clinical findings in depressive states", Psychiatry Res, 155, pp.67~73 (2007)
  46. Bessette KL, "White matter abnormalities in adolescents with major depressive disorder", Brain Imaging Behav, 8, pp.531~541 (2014)
  47. Budisic M, "Brainstem raphe lesion in patients with major depressive disorder and in patients with suicidal ideation recorded on transcranial sonography", Eur Arch Psychiatry Clin Neurosci, 260, pp.203~208 (2010)
  48. Han KM, "Hippocampal subfield analysis in medication-naive female patients with major depressive disorder", J Affect Disord, 194, pp.21~29 (2016)
  49. Guo W, "Unidirectionally affected causal connectivity of cortico-limbic-cerebellar circuit by structural deficits in drug-naive major depressive disorder", J Affect Disord, 172, pp.410~416 (2015)
  50. Hornung JP, "The human raphe nuclei and the serotonergic system", J Chem Neuroanat, 26, pp.331~343 (2003)
  51. 안나리, "Effects of creatine monohydrate supplementation and exercise on depression-like behaviors and raphe 5-HT neurons in mice", Physical Activity and Nutrition, 20(3), pp.24~31 (2016), 한국운동영양학회
  52. Oquendo MA, "Positron emission tomographic imaging of the serotonergic system and prediction of risk and lethality of future suicidal behavior", JAMA Psychiatry, 73, pp.1048~1055 (2016)
  53. van der Doelen RHA, "Serotonin and urocortin 1 in the dorsal raphe and Edinger-Westphal nuclei after early life stress in serotonin transporter knockout rats", Neuroscience, 340, pp.345~358 (2017)
  54. Young EA, "Interaction of brain noradrenergic system and the hypothalamic-pituitary-adrenal(HPA)axis in man", Psychoneuroendocrinology, 30, pp.807~814 (2005)
  55. Chen VC, "Assessment of abnormal brain structures and networks in major depressive disorder using morphometric and connectome analyses", J Affect Disord, 205, pp.103~111 (2016)
  56. Lai CH, "The gray matter alterations in major depressive disorder and panic disorder : putative differences in the pathogenesis", J Affect Disord, 186, pp.1~6 (2015)
  57. Peng J, "Cerebral and cerebellar gray matter reduction in first-episode patients with major depressive disorder : a voxel-based morphometry study", Eur J Radiol, 80, pp.395~399 (2011)
  58. Guillamon A, "Effects of sex steroids on the development of the locus coeruleus in the rat", Brain Res, 468, pp.306~310 (1988)
  59. Swanson LW, "The central adrenergic system. An immunofluorescence study of the location of cell bodies and their efferent connections in the rat utilizing dopamine-beta-hydroxylase as a marker", J Comp Neurol, 163, pp.467~505 (1975)
  60. Fast CD, "Amygdalar gating of early sensory processing through interactions with locus coeruleus", J Neurosci, 37, pp.3085~3101 (2017)
  61. Venkatraman A, "The brainstem in emotion : a review", Front Neuroanat, 11, pp.15~ (2017)
  62. Chmielarz P, "Inactivation of glucocorticoid receptor in noradrenergic system influences anxiety-and depressive-like behavior in mice", PLoS One, 8, pp.e72632~ (2013)
  63. Klimek V, "Reduced levels of norepinephrine transporters in the locus coeruleus in major depression", J Neurosci, 17, pp.8451~8458 (1997)
  64. Shibata E, "Reduced signal of locus ceruleus in depression in quantitative neuromelanin magnetic resonance imaging", Neuroreport, 18, pp.415~418 (2007)
  65. Barde S, "Alterations in the neuropeptide galanin system in major depressive disorder involve levels of transcripts, methylation, and peptide", Proc Natl Acad Sci U S A, 113, pp.E8472~E8481 (2016)
  66. Chandley MJ, "Elevated gene expression of glutamate receptors in noradrenergic neurons from the locus coeruleus in major depression", Int J Neuropsychopharmacol, 17, pp.1569~1578 (2014)
  67. Ghosal S, "Glucocorticoid receptors in the nucleus of the solitary tract(NTS)decrease endocrine and behavioral stress responses", Psychoneuroendocrinology, 45, pp.142~153 (2014)
  68. Saha S, "Differential distribution of 5-HT 1A and 5-HT 1B-like immunoreactivities in rat central nucleus of the amygdala neurones projecting to the caudal dorsomedial medulla oblongata", Brain Res, 1330, pp.20~30 (2010)
  69. Sofroniew MV, "Astrocytes : biology and pathology", Acta Neuropathol, 119, pp.7~35 (2010)
  70. Kimelberg HK, "Functions of mature mammalian astrocytes : a current view", Neuroscientist, 16, pp.79~106 (2010)
  71. Czeh B, "Antidepressants act directly on astrocytes : evidences and functional consequences", Eur Neuropsychopharmacol, 23, pp.171~185 (2013)
  72. Bowley MP, "Low glial numbers in the amygdala in major depressive disorder", Biol Psychiatry, 52, pp.404~412 (2002)
  73. Rajkowska G, "Gliogenesis and glial pathology in depression", CNS Neurol Disord Drug Targets, 6, pp.219~233 (2007)
  74. Harrison PJ, "The neuropathology of primary mood disorder", Brain, 125, pp.1428~1449 (2002)
  75. Riecher-Rossler A, "Sex and gender differences in mental disorders", Lancet Psychiatry, 4, pp.8~9 (2017)
  76. Kuehner C, "Why is depression more common among women than among men", Lancet Psychiatry, 4, pp.146~158 (2017)
  77. Kessler RC, "Epidemiology of women and depression", J Affect Disord, 74, pp.5~13 (2003)
  78. Kessler RC, "The epidemiology of major depressive disorder : results from the National Comorbidity Survey Replication(NCS-R)", JAMA, 289, pp.3095~3105 (2003)
  79. Kessler RC, "Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication", Arch Gen Psychiatry, 62, pp.593~602 (2005)
  80. Kuehner C, "Gender differences in unipolar depression : an update of epidemiological findings and possible explanations", Acta Psychiatr Scand, 108, pp.163~174 (2003)
  81. de Graaf R, "Prevalence of mental disorders and trends from 1996 to 2009. Results from the Netherlands Mental Health Survey and Incidence Study-2", Soc Psychiatry Psychiatr Epidemiol, 47, pp.203~213 (2012)
  82. Wittchen HU, "The size and burden of mental disorders and other disorders of the brain in Europe 2010", Eur Neuropsychopharmacol, 21, pp.655~679 (2011)
  83. Jacobi F, "Twelvemonth prevalence, comorbidity and correlates of mental disorders in Germany : the Mental Health Module of the German Health Interview and Examination Survey for Adults(DEGS1-MH)", Int J Methods Psychiatr Res, 23, pp.304~319 (2014)
  84. Lim GY, "Prevalence of Depression in the Community from 30 Countries between 1994 and 2014", Sci Rep, 8, pp.2861~ (2018)
  85. Byers AL, "High occurrence of mood and anxiety disorders among older adults : the National Comorbidity Survey Replication", Arch Gen Psychiatry, 67, pp.489~496 (2010)
  86. Luppa M, "Age-and gender-specific prevalence of depression in latest-life--systematic review and meta-analysis", J Affect Disord, 136, pp.212~221 (2012)

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