Reduced global functional connectivity of the medial prefrontal cortex in major depressive disorder

Human Brain Mapping

Volumn 37, Issue 9, 2016, Pages 3214-3223

  Murrough, James W ^a   Abdallah, Chadi G ^b,c   Anticevic, Alan ^b,c   Collins, Katherine A ^a   Geha, Paul ^b,c   Averill, Lynnette A ^b,c   Schwartz, Jaclyn ^a   DeWilde, Kaitlin E ^a   Averill, Christopher ^b,c   Jia Wei Yang, Genevieve ^c   Wong, Edmund ^a   Tang, Cheuk Y ^a   Krystal, John H ^b,c   Iosifescu, Dan V ^a   Charney, Dennis S ^a  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^b VA National Center for PTSD   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

depression; functional connectivity; neuroimaging; prefrontal cortex; resting state; subgenual anterior cingulate cortex

Indexed keywords

ADULT; ANTERIOR CINGULATE; ARTICLE; CONNECTOME; CONTROLLED STUDY; DISEASE SEVERITY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HAMILTON ANXIETY SCALE; HUMAN; IMAGE PROCESSING; INFORMATION PROCESSING; LATERAL PREFRONTAL CORTEX; MAJOR CLINICAL STUDY; MAJOR DEPRESSION; MALE; MEDIAL PREFRONTAL CORTEX; MONTGOMERY ASBERG DEPRESSION RATING SCALE; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; SYMPTOM ASSESSMENT; VENTROMEDIAL PREFRONTAL CORTEX;

EID: 84982980717     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.23235     Document Type: Article

References (50)

1. Abdallah CG, Sanacora G, Duman RS, Krystal JH (2015): Ketamine and rapid-acting antidepressants: A window into a new neurobiology for mood disorder therapeutics. Annu Rev Med 66:509–523.
2. Alalade E, Denny K, Potter G, Steffens D, Wang L (2011): Altered cerebellar-cerebral functional connectivity in geriatric depression. PLoS One 6:e20035.
3. Anticevic A, Brumbaugh MS, Winkler AM, Lombardo LE, Barrett J, Corlett PR, Kober H, Gruber J, Repovs G, Cole MW, Krystal JH, Pearlson GD, Glahn DC (2013): Global prefrontal and fronto-amygdala dysconnectivity in bipolar I disorder with psychosis history. Biol Psychiatry 73:565–573.
4. Anticevic A, Hu S, Zhang S, Savic A, Billingslea E, Wasylink S, Repovs G, Cole MW, Bednarski S, Krystal JH, Bloch MH, Li CS, Pittenger C (2014): Global resting-state functional magnetic resonance imaging analysis identifies frontal cortex, striatal, and cerebellar dysconnectivity in obsessive-compulsive disorder. Biol Psychiatry 75:595–605.
5. Anticevic A, Hu X, Xiao Y, Hu J, Li F, Bi F, Cole MW, Savic A, Yang GJ, Repovs G, Murray JD, Wang XJ, Huang X, Lui S, Krystal JH, Gong Q (2015): Early-course unmedicated schizophrenia patients exhibit elevated prefrontal connectivity associated with longitudinal change. J Neurosci 35:267–286.
6. Bullmore E, Sporns O (2009): Complex brain networks: Graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 10:186–198.
7. Chen JE, Glover GH (2015): BOLD fractional contribution to resting-state functional connectivity above 0.1 Hz. Neuroimage 107:207–218.
8. Cole MW, Schneider W (2007): The cognitive control network: Integrated cortical regions with dissociable functions. Neuroimage 37:343–360.
9. Cole MW, Pathak S, Schneider W (2010): Identifying the brain's most globally connected regions. Neuroimage 49:3132–3148.
10. Cole MW, Yarkoni T, Repovs G, Anticevic A, Braver TS (2012): Global connectivity of prefrontal cortex predicts cognitive control and intelligence. J Neurosci 32:8988–8999.
11. Collins PY, Patel V, Joestl SS, March D, Insel TR, Daar AS; Scientific Advisory Board and the Executive Committee of the Grand Challenges on Global Mental Health, Anderson W, Dhansay MA, Phillips A, Shurin S, Walport M, Ewart W, Savill SJ, Bordin IA, Costello EJ, Durkin M, Fairburn C, Glass RI, Hall W, Huang Y, Hyman SE, Jamison K, Kaaya S, Kapur S, Kleinman A, Ogunniyi A, Otero-Ojeda A, Poo MM, Ravindranath V, Sahakian BJ, Saxena S, Singer PA, Stein DJ, (2011): Grand challenges in global mental health. Nature 475:27–30.
12. Desikan RS, Segonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, Buckner RL, Dale AM, Maguire RP, Hyman BT, Albert MS, Killiany RJ (2006): An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31:968–980.
13. Duman RS, Aghajanian GK (2012): Synaptic dysfunction in depression: Potential therapeutic targets. Science 338:68–72.
14. Felger JC, Li Z, Haroon E, Woolwine BJ, Jung MY, Hu X, Miller AH: Inflammation is associated with decreased functional connectivity within corticostriatal reward circuitry in depression. Mol Psychiatry (in press).
15. Forman SD, Cohen JD, Fitzgerald M, Eddy WF, Mintun MA, Noll DC (1995): Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): Use of a cluster-size threshold. Magn Reson Med 33:636–647.
16. Fox MD, Raichle ME (2007): Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8:700–711.
17. Furey ML, Drevets WC, Hoffman EM, Frankel E, Speer AM, Zarate CA Jr (2013): Potential of pretreatment neural activity in the visual cortex during emotional processing to predict treatment response to scopolamine in major depressive disorder. JAMA Psychiatry 70:280–290.
18. Gohel SR, Biswal BB (2015): Functional integration between brain regions at rest occurs in multiple-frequency bands. Brain Connect 5:23–34.
19. Gong Q, He Y (2015): Depression, neuroimaging and connectomics: A selective overview. Biol Psychiatry 77:223–235.
20. Gotlib IH, Joormann J (2010): Cognition and depression: Current status and future directions. Annu Rev Clin Psychol 6:285–312.
21. Guo W, Liu F, Liu J, Yu M, Zhang Z, Liu G, Xiao C, Zhao J (2015): Increased cerebellar-default-mode-network connectivity in drug-naive major depressive disorder at rest. Medicine (Baltimore) 94:e560.
22. Hamilton M (1959): The assessment of anxiety states by rating. Br J Med Psychol 32:50–55.
23. Hamilton JP, Etkin A, Furman DJ, Lemus MG, Johnson RF, Gotlib IH (2012): Functional neuroimaging of major depressive disorder: A meta-analysis and new integration of base line activation and neural response data. Am J Psychiatry 169:693–703.
24. Hodes GE, Pfau ML, Leboeuf M, Golden SA, Christoffel DJ, Bregman D, Rebusi N, Heshmati M, Aleyasin H, Warren BL, Lebonte B, Horn S, Lapidus KA, Stelzhammer V, Wong EH, Bahn S, Krishnan V, Bolanos-Guzman CA, Murrough JW, Merad M, Russo SJ (2014): Individual differences in the peripheral immune system promote resilience versus susceptibility to social stress. Proc Natl Acad Sci USA 111:16136–16141.
25. Hodes GE, Kana V, Menard C, Merad M, Russo SJ (2015): Neuroimmune mechanisms of depression. Nat Neurosci 18:1386–1393.
26. Johnson MK, Nolen-Hoeksema S, Mitchell KJ, Levin Y (2009): Medial cortex activity, self-reflection and depression. Soc Cogn Affect Neurosci 4:313–327.
27. Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA (2015): Large-scale network dysfunction in major depressive disorder: A meta-analysis of resting-state functional connectivity. JAMA Psychiatry 72:603–611.
28. Keedwell PA, Drapier D, Surguladze S, Giampietro V, Brammer M, Phillips M (2010): Subgenual cingulate and visual cortex responses to sad faces predict clinical outcome during antidepressant treatment for depression. J Affect Disord 120:120–125.
29. Lee HL, Zahneisen B, Hugger T, LeVan P, Hennig J (2013): Tracking dynamic resting-state networks at higher frequencies using MR-encephalography. Neuroimage 65:216–222.
30. Li N, Lee B, Liu RJ, Banasr M, Dwyer JM, Iwata M, Li XY, Aghajanian G, Duman RS (2010): mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science 329:959–964.
31. Lord A, Horn D, Breakspear M, Walter M (2012): Changes in community structure of resting state functional connectivity in unipolar depression. PLoS One 7:e41282.
32. Mayberg HS, Lozano AM, Voon V, McNeely HE, Seminowicz D, Hamani C, Schwalb JM, Kennedy SH (2005): Deep brain stimulation for treatment-resistant depression. Neuron 45:651–660.
33. McEwen BS, Bowles NP, Gray JD, Hill MN, Hunter RG, Karatsoreos IN, Nasca C (2015): Mechanisms of stress in the brain. Nat Neurosci 18:1353–1363.
34. Montgomery SA, Asberg M (1979): A new depression scale designed to be sensitive to change. Br J Psychiatry 134:382–389.
35. Murrough JW, Iacoviello B, Neumeister A, Charney DS, Iosifescu DV (2011): Cognitive dysfunction in depression: Neurocircuitry and new therapeutic strategies. Neurobiol Learn Mem 96:553–563.
36. Ochsner KN, Gross JJ (2005): The cognitive control of emotion. Trends Cogn Sci 9:242–249.
37. Paradiso S, Johnson DL, Andreasen NC, O'Leary DS, Watkins GL, Ponto LL, Hichwa RD (1999): Cerebral blood flow changes associated with attribution of emotional valence to pleasant, unpleasant, and neutral visual stimuli in a PET study of normal subjects. Am J Psychiatry 156:1618–1629.
38. Pariante CM, Lightman SL (2008): The HPA axis in major depression: Classical theories and new developments. Trends Neurosci 31:464–468.
39. Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE (2012): Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59:2142–2154.
40. Power JD, Mitra A, Laumann TO, Snyder AZ, Schlaggar BL, Petersen SE (2014): Methods to detect, characterize, and remove motion artifact in resting state fMRI. Neuroimage 84:320–341.
41. Price JL, Drevets WC (2010): Neurocircuitry of mood disorders. Neuropsychopharmacology 35:192–216.
42. Saad ZS, Reynolds RC, Jo HJ, Gotts SJ, Chen G, Martin A, Cox RW (2013): Correcting brain-wide correlation differences in resting-state FMRI. Brain Connect 3:339–352.
43. Seeley WW, Menon V, Schatzberg AF, Keller J, Glover GH, Kenna H, Reiss AL, Greicius MD (2007): Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci 27:2349–2356.
44. Sheline YI, Barch DM, Price JL, Rundle MM, Vaishnavi SN, Snyder AZ, Mintun MA, Wang S, Coalson RS, Raichle ME (2009): The default mode network and self-referential processes in depression. Proc Natl Acad Sci USA 106:1942–1947.
45. Sheline YI, Price JL, Yan Z, Mintun MA (2010): Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus. Proc Natl Acad Sci USA 107:11020–11025.
46. Siegle GJ, Thompson W, Carter CS, Steinhauer SR, Thase ME (2007): Increased amygdala and decreased dorsolateral prefrontal BOLD responses in unipolar depression: Related and independent features. Biol Psychiatry 61:198–209.
47. Surguladze S, Brammer MJ, Keedwell P, Giampietro V, Young AW, Travis MJ, Williams SC, Phillips ML (2005): A differential pattern of neural response toward sad versus happy facial expressions in major depressive disorder. Biol Psychiatry 57:201–209.
48. Van Dijk KR, Hedden T, Venkataraman A, Evans KC, Lazar SW, Buckner RL (2010): Intrinsic functional connectivity as a tool for human connectomics: Theory, properties, and optimization. J Neurophysiol 103:297–321.
49. Wang L, Dai Z, Peng H, Tan L, Ding Y, He Z, Zhang Y, Xia M, Li Z, Li W, Cai Y, Lu S, Liao M, Zhang L, Wu W, He Y, Li L (2014): Overlapping and segregated resting-state functional connectivity in patients with major depressive disorder with and without childhood neglect. Hum Brain Mapp 35:1154–1166.
50. Zhang J, Wang J, Wu Q, Kuang W, Huang X, He Y, Gong Q (2011): Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder. Biol Psychiatry 70:334–342.