Decreased regional activity and network homogeneity of the fronto-limbic network at rest in drug-naive major depressive disorder

Australian and New Zealand Journal of Psychiatry

Volumn 49, Issue 6, 2015, Pages 550-556

  Guo, Wenbin ^a   Liu, Feng ^b   Yu, Miaoyu ^a   Zhang, Jian ^a   Zhang, Zhikun ^a   Liu, Jianrong ^a   Xiao, Changqing ^a   Zhao, Jingping ^c  

^a FIRST AFFILIATED HOSPITAL OF GUANGXI MEDICAL UNIVERSITY   (China)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

fractional amplitude of low frequency fluctuations; fronto limbic network; Major depressive disorder; network homogeneity

Indexed keywords

ADULT; ARTICLE; BRAIN FUNCTION; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; FRACTIONAL AMPLITUDE OF LOW FREQUENCY FLUCTUATION; FRONTAL CORTEX; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LIMBIC SYSTEM; MAJOR DEPRESSION; MALE; MIDDLE FRONTAL GYRUS; NERVOUS SYSTEM PARAMETERS; NETWORK HOMOGENEITY; NEUROBIOLOGY; NUCLEAR MAGNETIC RESONANCE SCANNER; RESTING STATE FUNCTIONAL MAGNETIC RESONANCE IMAGING; CASE CONTROL STUDY; FRONTAL LOBE; FUNCTIONAL NEUROIMAGING; LIMBIC CORTEX; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PREFRONTAL CORTEX;

ADULT; CASE-CONTROL STUDIES; DEPRESSIVE DISORDER, MAJOR; FEMALE; FRONTAL LOBE; FUNCTIONAL NEUROIMAGING; HUMANS; LIMBIC LOBE; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; PREFRONTAL CORTEX;

EID: 84930345675     PISSN: 00048674     EISSN: 14401614     Source Type: Journal    
DOI: 10.1177/0004867415577978     Document Type: Article

References (50)

1. Anand A, Li Y, Wang Y, et al. Activity and connectivity of brain mood regulating circuit in depression: A functional magnetic resonance study. Biological Psychiatry. 2005a ; 57: 1079-1088
2. Anand A, Li Y, Wang Y, et al. Antidepressant effect on connectivity of the mood-regulating circuit: An FMRI study. Neuropsychopharmacology. 2005b ; 30: 1334-1344
3. Arnone D, McKie S, Elliott R, et al. State-dependent changes in hippocampal grey matter in depression. Molecular Psychiatry. 2013 ; 18: 1265-1272
4. Biswal B, Yetkin FZ, Haughton VM, et al. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magnetic Resonance in Medicine. 1995 ; 34: 537-541
5. Bluhm R, Williamson P, Lanius R, et al. Resting state default-mode network connectivity in early depression using a seed region-of-interest analysis: Decreased connectivity with caudate nucleus. Psychiatry and Clinical Neurosciences. 2009 ; 63: 754-761
6. Chen JD, Liu F, Xun GL, et al. Early and late onset, first-episode, treatment-naive depression: Same clinical symptoms, different regional neural activities. Journal of Affective Disorders. 2012 ; 143: 56-63
7. Cullen KR, Gee DG, Klimes-Dougan B, et al. A preliminary study of functional connectivity in comorbid adolescent depression. Neuroscience Letters. 2009 ; 460: 227-231
8. Damasio AR. Neuropsychology. Towards a neuropathology of emotion and mood. Nature. 1997 ; 386: 769-770
9. Drevets WC. Neuroimaging and neuropathological studies of depression: Implications for the cognitive-emotional features of mood disorders. Current Opinion in Neurobiology. 2001 ; 11: 240-249
10. Drevets WC, Price JL, Furey ML. Brain structural and functional abnormalities in mood disorders: Implications for neurocircuitry models of depression. Brain Structure & Function. 2008 ; 213: 93-118
11. First MB, Spitzer RL, Gibbon M, et al Structured Clinical Interview for DSM-IV Axis I Disorders (SCID). Washington, DC: American Psychiatric Press ; 1997 :
12. Fox MD, Snyder AZ, Vincent JL, et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America. 2005 ; 102: 9673-9678
13. Graham J, Salimi-Khorshidi G, Hagan C, et al. Meta-analytic evidence for neuroimaging models of depression: State or trait?. Journal of Affective Disorders. 2013 ; 151: 423-431
14. Guo W, Liu F, Liu J, et al. Is there a cerebellar compensatory effort in first-episode, treatment-naive major depressive disorder at rest?. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 2013a ; 46: 13-18
15. Guo W, Liu F, Zhang J, et al. Dissociation of regional activity in the default mode network in first-episode, drug-naive major depressive disorder at rest. Journal of Affective Disorders. 2013b ; 151: 1097-1101
16. Guo W, Liu F, Zhang J, et al. Abnormal default-mode network homogeneity in first-episode, drug-naive major depressive disorder. PLoS ONE. 2014 ; 9: e91102
17. Guo W, Liu F, Zhang Z, et al. Unidirectionally affected causal connectivity of cortico-limbic-cerebellar circuit by structural deficits in drug-naive major depressive disorder. Journal of Affective Disorders. 2015 ; 172: 410-416
18. Hahamy A, Calhoun V, Pearlson G, et al. Save the global: Global signal connectivity as a tool for studying clinical populations with functional magnetic resonance imaging. Brain Connectivity. 2014 ; 4: 395-403
19. Horn DI, Yu C, Steiner J, et al. Glutamatergic and resting-state functional connectivity correlates of severity in major depression - The role of pregenual anterior cingulate cortex and anterior insula. Frontiers in Systems Neuroscience. 2010 ; 4 :
20. Liu F, Guo W, Liu L, et al. Abnormal amplitude low-frequency oscillations in medication-naive, first-episode patients with major depressive disorder: A resting-state fMRI study. Journal of Affective Disorders. 2013 ; 146: 401-406
21. Liu F, Guo W, Yu D, et al. Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans. PLoS ONE. 2012 ; 7: e40968
22. 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 Research. 2010 ; 182: 211-215
23. Lui S, Wu Q, Qiu L, et al. Resting-state functional connectivity in treatment-resistant depression. American Journal of Psychiatry. 2011 ; 168: 642-648
24. Ma C, Ding J, Li J, et al. Resting-state functional connectivity bias of middle temporal gyrus and caudate with altered gray matter volume in major depression. PLoS ONE. 2012 ; 7: e45263
25. Marchand WR. Cortico-basal ganglia circuitry: A review of key research and implications for functional connectivity studies of mood and anxiety disorders. Brain Structure & Function. 2010 ; 215: 73-96
26. Mayberg HS. Modulating dysfunctional limbic-cortical circuits in depression: Towards development of brain-based algorithms for diagnosis and optimised treatment. British Medical Bulletin. 2003 ; 65: 193-207
27. Mayberg HS, Liotti M, Brannan SK, et al. Reciprocal limbic-cortical function and negative mood: Converging PET findings in depression and normal sadness. American Journal of Psychiatry. 1999 ; 156: 675-682
28. Murphy K, Birn RM, Handwerker DA, et al. The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced?. Neuroimage. 2009 ; 44: 893-905
29. Peng DH, Jiang KD, Fang YR, et al. Decreased regional homogeneity in major depression as revealed by resting-state functional magnetic resonance imaging. Chinese Medical Journal. 2011 ; 124: 369-373
30. Power JD, Barnes KA, Snyder AZ, et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage. 2012 ; 59: 2142-2154
31. Power JD, Mitra A, Laumann TO, et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI. Neuroimage. 2014 ; 84: 320-341
32. Saad ZS, Gotts SJ, Murphy K, et al. Trouble at rest: How correlation patterns and group differences become distorted after global signal regression. Brain Connectivity. 2012 ; 2: 25-32
33. Salvadore G, Nugent AC, Lemaitre H, et al. Prefrontal cortical abnormalities in currently depressed versus currently remitted patients with major depressive disorder. Neuroimage. 2011 ; 54: 2643-2651
34. Scheuerecker J, Meisenzahl EM, Koutsouleris N, et al. Orbitofrontal volume reductions during emotion recognition in patients with major depression. Journal of Psychiatry & Neuroscience. 2010 ; 35: 311-320
35. Seminowicz DA, Mayberg HS, McIntosh AR, et al. Limbic-frontal circuitry in major depression: A path modeling metanalysis. Neuroimage. 2004 ; 22: 409-418
36. Sheline YI. 3D MRI studies of neuroanatomic changes in unipolar major depression: The role of stress and medical comorbidity. Biological Psychiatry. 2000 ; 48: 791-800
37. Song XW, Dong ZY, Long XY, et al. REST: A toolkit for resting-state functional magnetic resonance imaging data processing. PLoS ONE. 2011 ; 6: e25031
38. Su Q, Yao D, Jiang M, et al. Increased functional connectivity strength of right inferior temporal gyrus in first-episode, drug-naive somatization disorder. Australian and New Zealand Journal of Psychiatry. 2015 ; 49: 74-81
39. Tang Y, Wang F, Xie G, et al. Reduced ventral anterior cingulate and amygdala volumes in medication-naive females with major depressive disorder: A voxel-based morphometric magnetic resonance imaging study. Psychiatry Research. 2007 ; 156: 83-86
40. Tao H, Guo S, Ge T, et al. Depression uncouples brain hate circuit. Molecular Psychiatry. 2011 ;:
41. Uddin LQ, Kelly AM, Biswal BB, et al. Network homogeneity reveals decreased integrity of default-mode network in ADHD. Journal of Neuroscience Methods. 2008 ; 169: 249-254
42. Wagner G, Koch K, Schachtzabel C, et al. Enhanced rostral anterior cingulate cortex activation during cognitive control is related to orbitofrontal volume reduction in unipolar depression. Journal of Psychiatry & Neuroscience. 2008 ; 33: 199-208
43. Wang L, Hermens DF, Hickie IB, et al. A systematic review of resting-state functional-MRI studies in major depression. Journal of Affective Disorders. 2012 ; 142: 6-12
44. Yan C, Zang Y. DPARSF: A MATLAB toolbox for 'pipeline' data analysis of resting-state fMRI. Frontiers in Systems Neuroscience. 2010 ; 4: 13
45. Yang GJ, Murray JD, Repovs G, et al. Altered global brain signal in schizophrenia. Proceedings of the National Academy of Sciences of the United States of America. 2014 ; 111: 7438-7443
46. Zhang J, Wang J, Wu Q, et al. Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder. Biological Psychiatry. 2011 ; 70: 334-342
47. Zhang TJ, Wu QZ, Huang XQ, et al. Magnetization transfer imaging reveals the brain deficit in patients with treatment-refractory depression. Journal of Affective Disorders. 2009 ; 117: 157-161
48. Zhu X, Wang X, Xiao J, et al. Evidence of a dissociation pattern in resting-state default mode network connectivity in first-episode, treatment-naive major depression patients. Biological Psychiatry. 2011 ; 71: 611-617
49. Zou K, Deng W, Li T, et al. Changes of brain morphometry in first-episode, drug-naive, non-late-life adult patients with major depression: An optimized voxel-based morphometry study. Biological Psychiatry. 2010 ; 67: 186-188
50. Zou QH, Zhu CZ, Yang Y, et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF. Journal of Neuroscience Methods. 2008 ; 172: 137-141