Voxel-wise meta-analyses of brain blood flow and local synchrony abnormalities in medication-free patients with major depressive disorder

Journal of Psychiatry and Neuroscience

Volumn 40, Issue 6, 2015, Pages 401-411

  Chen, Zi Qi ^a   Du, Ming Ying ^a   Zhao, You Jin ^a   Huang, Xiao Qi ^a   Li, Jing ^a   Lui, Su ^a   Hu, Jun Mei ^a   Sun, Huai Qiang ^a   Liu, Jia ^a   Kemp, Graham J ^b   Gong, Qi Yong ^a  

^a SICHUAN UNIVERSITY   (China)

^b UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIPOLAR DISORDER; BRAIN BLOOD FLOW; DEPRESSION; ELECTROENCEPHALOGRAPHY PHASE SYNCHRONIZATION; GENETIC HETEROGENEITY; HUMAN; PHONETICS; PUBLICATION; QUALITY CONTROL; TEMPORAL GYRUS; VOXEL BASED MORPHOMETRY; BRAIN; BRAIN CIRCULATION; BRAIN MAPPING; CORTICAL SYNCHRONIZATION; MAJOR DEPRESSION; META ANALYSIS; PATHOPHYSIOLOGY; PHYSIOLOGY; REST; VASCULARIZATION;

BRAIN; BRAIN MAPPING; CEREBROVASCULAR CIRCULATION; CORTICAL SYNCHRONIZATION; DEPRESSIVE DISORDER, MAJOR; HUMANS; REST;

EID: 84934916501     PISSN: 11804882     EISSN: 14882434     Source Type: Journal    
DOI: 10.1503/jpn.140119     Document Type: Article

References (64)

1. Fitzgerald PJ. Gray colored glasses: Is major depression partially a sensory perceptual disorder? J Affect Disord 2013;151:418-22.
2. Kessler RC, Chiu WT, Demler O, et al. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 2005;62:617-27.
3. Wintermark M, Sesay M, Barbier E, et al. Comparative overview of brain perfusion imaging techniques. J Neuroradiol 2005;32:294-314.
4. Zang Y, Jiang T, Lu Y, et al. Regional homogeneity approach to fMRI data analysis. Neuroimage 2004;22:394-400.
5. Kannurpatti SS, Biswal BB, Kim YR, et al. Spatio-temporal charac­teristics of low-frequency BOLD signal fluctuations in isofluraneanesthetized rat brain. Neuroimage 2008;40:1738-47.
6. Kennedy SH, Evans KR, Kruger S, et al. Changes in regional brain glucose metabolism measured with positron emission tomography after paroxetine treatment of major depression. Am J Psychiatry 2001; 158:899-905.
7. Saxena S, Brody AL, Ho ML, et al. Cerebral metabolism in major depression and obsessive-compulsive disorder occurring separately and concurrently. Biol Psychiatry 2001;50:159-70.
8. Krausz Y, Freedman N, Lester H, et al. Brain SPECT study of common ground between hypothyroidism and depression. Int J Neuro- psychopharmacol 2007;10:99-106.
9. Vardi N, Freedman N, Lester H, et al. Hyperintensities on T2-weighted images in the basal ganglia of patients with major depression: cerebral perfusion and clinical implications. Psychiatry Res 2011;192:125-30.
10. Lui S, Parkes LM, Huang X, et al. Depressive disorders: focally altered cerebral perfusion measured with arterial spin-labeling MR imaging. Radiology 2009;251:476-84.
11. Chen JD, Liu F, Xun GL, et al. Early and late onset, first-episode, treatment-naive depression: same clinical symptoms, different regional neural activities. J Affect Disord 2012;143:56-63.
12. Liu Z, Xu C, Xu Y, et al. Decreased regional homogeneity in insula and cerebellum: a resting-state fMRI study in patients with major depression and subjects at high risk for major depression. Psychiatry Res 2010;182:211-5.
13. Peng DH, Jiang KD, Fang YR, et al. Decreased regional homogeneity in major depression as revealed by resting-state functional magnetic resonance imaging. Chin Med J (Engl) 2011;124:369-73.
14. Fitzgerald PB, Laird AR, Maller J, et al. A meta-analytic study of changes in brain activation in depression. Hum Brain Mapp 2008;29:683-95.
15. Hamilton JP, Etkin A, Furman DJ, et al. Functional neuroimaging of major depressive disorder: a meta-analysis and new integration of base line activation and neural response data. Am J Psychiatry 2012;169:693-703.
16. Mayberg HS, Brannan SK, Tekell JL, et al. Regional metabolic effects of fluoxetine in major depression: serial changes and relationship to clinical response. Biol Psychiatry 2000;48:830-43.
17. Wu QZ, Li DM, Kuang WH, et al. Abnormal regional spontaneous neural activity in treatment-refractory depression revealed by resting-state fMRI. Hum Brain Mapp 2011;32:1290-9.
18. Zou Q, Wu CW, Stein EA, et al. Static and dynamic characteristics of cerebral blood flow during the resting state. Neuroimage 2009;48:515-24.
19. Li Z, Zhu Y, Childress AR, et al. Relations between BOLD fMRI-derived resting brain activity and cerebral blood flow. PLoS ONE 2012;7:e44556.
20. Li J, Pan P, Huang R, et al. A meta-analysis of voxel-based morphometry studies of white matter volume alterations in Alzheimer’s disease. Neurosci Biobehav Rev 2012;36:757-63.
21. Nortje G, Stein DJ, Radua J, et al. Systematic review and voxel-based meta-analysis of diffusion tensor imaging studies in bipolar disorder. J Affect Disord 2013;150:192-200.
22. Radua J, Borgwardt S, Crescini A, et al. Multimodal meta-analysis of structural and functional brain changes in first episode psychosis and the effects of antipsychotic medication. Neurosci Biobehav Rev 2012;36:2325-33.
23. Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 2009;6:e1000097.
24. Du M, Liu J, Chen Z, et al. Brain grey matter volume alterations in late-life depression. J Psychiatry Neurosci 2014;39:397-406.
25. Shepherd AM, Matheson SL, Laurens KR, et al. Systematic meta-analysis of insula volume in schizophrenia. Biol Psychiatry 2012;72: 775-84.
26. Brambilla P, Hardan A, di Nemi SU, et al. Brain anatomy and development in autism: review of structural MRI studies. Brain Res Bull 2003;61:557-69.
27. Radua J, Mataix-Cols D. Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder. Br J Psychiatry 2009;195: 393-402.
28. Ferreira LK, Busatto GF. Heterogeneity of coordinate-based metaanalyses of neuroimaging data: an example from studies in OCD. Br J Psychiatry 2010;197:76-7.
29. Radua J, Via E, Catani M, et al. Voxel-based meta-analysis of regional white-matter volume differences in autism spectrum disorder versus healthy controls. Psychol Med 2011;41:1539-50.
30. Radua J, Mataix-Cols D, Phillips ML, et al. A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. Eur Psychiatry 2012; 27:605-11.
31. Laird AR, Fox PM, Price CJ, et al. ALE meta-analysis: controlling the false discovery rate and performing statistical contrasts. Hum Brain Mapp 2005;25:155-64.
32. Wager TD, Lindquist MA, Nichols TE, et al. Evaluating the consistency and specificity of neuroimaging data using meta-analysis. Neuroimage 2009;45(Suppl):S210-21.
33. Kohn Y, Freedman N, Lester H, et al. 99mTc-HMPAO SPECT study of cerebral perfusion after treatment with medication and electro­ convulsive therapy in major depression. J Nucl Med 2007;48:1273-8.
34. Périco CA, Skaf CR, Yamada A, et al. Relationship between regional cerebral blood flow and separate symptom clusters of major depression: a single photon emission computed tomography study using statistical parametric mapping. Neurosci Lett 2005;384:265-70.
35. Skaf CR, Yamada A, Garrido GE, et al. Psychotic symptoms in major depressive disorder are associated with reduced regional cerebral blood flow in the subgenual anterior cingulate cortex: a voxelbased single photon emission computed tomography (SPECT) study. J Affect Disord 2002;68:295-305.
36. Aihara M, Ida I, Yuuki N, et al. HPA axis dysfunction in unmedicated major depressive disorder and its normalization by pharmacotherapy correlates with alteration of neural activity in prefrontal cortex and limbic/paralimbic regions. Psychiatry Res 2007;155:245-56.
37. Brody AL, Saxena S, Stoessel P, et al. Regional brain metabolic changes in patients with major depression treated with either paroxetine or interpersonal therapy: preliminary findings. Arch Gen Psychiatry 2001;58:631-40.
38. Drevets WC, Videen TO, Price JL, et al. A functional anatomical study of unipolar depression. J Neurosci 1992;12:3628-41.
39. Germain A, Nofzinger EA, Meltzer CC, et al. Diurnal variation in regional brain glucose metabolism in depression. Biol Psychiatry 2007;62:438-45.
40. Kimbrell TA, Ketter TA, George MS, et al. Regional cerebral glucose utilization in patients with a range of severities of unipolar depression. Biol Psychiatry 2002;51:237-52.
41. Monkul ES, Silva LA, Narayana S, et al. Abnormal resting state corticolimbic blood flow in depressed unmedicated patients with major depression: a (15)O-H(2)O PET study. Hum Brain Mapp 2012;33:272-9.
42. Guo WB, Sun XL, Liu L, et al. Disrupted regional homogeneity in treatment-resistant depression: a resting-state fMRI study. Prog Neuropsychopharmacol Biol Psychiatry 2011;35:1297-302.
43. Guo WB, Liu F, Chen JD, et al. Abnormal neural activity of brain regions in treatment-resistant and treatment-sensitive major depressive disorder: a resting-state fMRI study. J Psychiatr Res 2012;46: 1366-73.
44. Liang MJ, Zhou Q, Yang KR, et al. Identify changes of brain regional homogeneity in bipolar disorder and unipolar depression using resting-state FMRI. PLoS ONE 2013;8:e79999.
45. Wang L, Li K, Zhang Q, et al. Short-term effects of escitalopram on regional brain function in first-episode drug-naive patients with major depressive disorder assessed by resting-state functional magnetic resonance imaging. Psychol Med 2014;44:1417-26.
46. Yao Z, Wang L, Lu Q, et al. Regional homogeneity in depression and its relationship with separate depressive symptom clusters: a resting-state fMRI study. J Affect Disord 2009;115:430-8.
47. Herrero MT, Barcia C, Navarro JM. Functional anatomy of thalamus and basal ganglia. Childs Nerv Syst 2002;18:386-404.
48. Bush G, Luu P, Posner MI. Cognitive and emotional influences in anterior cingulate cortex. Trends Cogn Sci 2000;4:215-22.
49. Rushworth MF, Behrens TE, Rudebeck PH, et al. Contrasting roles for cingulate and orbitofrontal cortex in decisions and social behaviour. Trends Cogn Sci 2007;11:168-76.
50. Young KA, Holcomb LA, Yazdani U, et al. Elevated neuron number in the limbic thalamus in major depression. Am J Psychiatry 2004;161:1270-7.
51. Craig AD. How do you feel-now? The anterior insula and human awareness. Nat Rev Neurosci 2009;10:59-70.
52. Menon V, Uddin LQ. Saliency, switching, attention and control: a network model of insula function. Brain Struct Funct 2010;214:655-67.
53. Diener C, Kuehner C, Brusniak W, et al. A meta-analysis of neurofunctional imaging studies of emotion and cognition in major depression. Neuroimage 2012;61:677-85.
54. Lee HY, Tae WS, Yoon HK, et al. 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. J­Affect Disord 2011;133:128-36.
55. Shields SA. Speaking from the heart: gender and the social meaning of emotion. Cambridge University Press; 2002.
56. Stevens JS, Hamann S. Sex differences in brain activation to emotional stimuli: a meta-analysis of neuroimaging studies. Neuropsychologia 2012;50:1578-93.
57. Lithari C, Frantzidis CA, Papadelis C, et al. Are females more responsive to emotional stimuli? A neurophysiological study across arousal and valence dimensions. Brain Topogr 2010;23:27-40.
58. Maes M, Meltzer H. The serotonin hypothesis of major depression. Psychopharmacology (Berl) 1995;10:933-4.
59. Frey BN, Skelin I, Sakai Y, et al. Gender differences in alpha-[(11)C] MTrp brain trapping, an index of serotonin synthesis, in medicationfree individuals with major depressive disorder: a positron emission ŧomography study. Psychiatry Res 2010;183:157-66.
60. Beason-Held LL, Kraut MA, Resnick SMI. Longitudinal changes in aging brain function. Neurobiol Aging 2008;29:483-96.
61. Resnick SM, Goldszal AF, Davatzikos C, et al. One-year age changes in MRI brain volumes in older adults. Cereb Cortex 2000;10:464-72.
62. Good CD, Johnsrude IS, Ashburner J, et al. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 2001;14:21-36.
63. Salimi-Khorshidi G, Smith SM, Keltner JR, et al. Meta-analysis of neuroimaging data: a comparison of image-based and coordinatebased pooling of studies. Neuroimage 2009;45:810-23.
64. Fountoulakis KN, Gonda X, Andreoulakis E, et al. No differences between drug naive and drug experienced unipolar depressed patients in terms of neurobiological testing: a cross sectional study. J Psychiatr Res 2013;47:1984-90.