A preliminary study of the dysregulation of the resting networks in first-episode medication-naive adolescent depression

Neuroscience Letters

Volumn 503, Issue 2, 2011, Pages 105-109

  Jin, Chenwang ^a   Gao, Chengge ^a   Chen, Ce ^a   Ma, Shaohui ^a   Netra, Rana ^a   Wang, Yuan ^a   Zhang, Ming ^a   Li, Dan ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Adolescent major depressive disorder; FMRI; Graph theory analysis; Resting networks

Indexed keywords

ADOLESCENT; ADULT; AMYGDALOID NUCLEUS; ANTERIOR CINGULATE; ARTICLE; BRAIN DYSFUNCTION; BRAIN FUNCTION; BRAIN REGION; CLINICAL ARTICLE; CONTROLLED STUDY; DISEASE SEVERITY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INSULA; MAJOR DEPRESSION; MALE; NEUROIMAGING; PREFRONTAL CORTEX; PRIORITY JOURNAL; TEMPORAL CORTEX;

ADOLESCENT; CEREBRAL CORTEX; DEPRESSIVE DISORDER, MAJOR; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIMBIC SYSTEM; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; NEURAL PATHWAYS;

EID: 80052958209     PISSN: 03043940     EISSN: 18727972     Source Type: Journal    
DOI: 10.1016/j.neulet.2011.08.017     Document Type: Article

References (34)

1. Achard S., Bullmore E. Efficiency and cost of economical brain functional networks. PLoS Comput. Biol. 2007, 3:e17.
2. Achard S., Salvador R., Whitcher B., Suckling J., Bullmore E. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J. Neurosci. 2006, 26:63-72.
3. Bassett D.S., Bullmore E. Small-world brain networks. Neuroscientist 2006, 12:512-523.
4. Bench C.J., Friston K.J., Brown R.G., Frackowiak R.S.J., Dolan R.J. Regional cerebral blood flow in depression measured by positron emission tomography: the relationship with clinical dimensions. Psychol. Med. 1993, 23:579-590.
5. Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Roy. Stat. Soc. B 1995, 57:289-300.
6. Birmaher B., Ryan N.D., Williamson D.E., Brent D.A., Kaufman J., Dahl R.E., Perel J., Nelson B. Childhood and adolescent depression: a review of the past 10 years. Part I. J. Am. Acad. Child Psychiatry 1996, 35:1427-1439.
7. Cullen K.R., Gee D.G., Klimes-Dougan B., Gabbay V., Hulvershorn L., Mueller B.A., Camchong J., Bell C.J., Houri A., Kumra S. A preliminary study of functional connectivity in comorbid adolescent depression. Neurosci. Lett. 2009, 460:227-231.
8. Drevets W.C., Bogers W., Raichle M.E. Functional anatomical correlates of antidepressant drug treatment assessed using PET measures of regional glucose metabolism. Eur. Neuropsychopharm. 2002, 12:527-544.
9. Drevets W.C., Price J.L., Bardgett M.E., Reich T., Todd R.D., Raichle M.E. Glucose metabolism in the amygdala in depression: relationship to diagnostic subtype and plasma cortisol levels. Pharmacol. Biochem. Behav. 2002, 71:431-447.
10. Fales C.L., Barch D.M., Rundle M.M., Mintun M.A., Snyder A.Z., Cohen J.D., Mathews J., Sheline Y.I. Altered emotional interference processing in affective and cognitive-control brain circuitry in major depression. Biol. Psychiat. 2008, 63:377-384.
11. Fincham J.M., Carter C.S., Van Veen V., Stenger V.A., Anderson J.R. Neural mechanisms of planning: a computational analysis using event-related fMRI. Proc. Natl. Acad. Sci. U.S.A. 2002, 99:3346-3351.
12. Fitzgerald P.B., Laird A.R., Maller J., Daskalakis Z.J. A meta-analytic study of changes in brain activation in depression. Hum. Brain Mapp. 2008, 29:683-695.
13. Gotlib I.H., Hamilton J.P. Neuroimaging and depression. Curr. Dir. Psychol. Sci. 2008, 17:159-163.
14. Greicius M.D., Krasnow B., Reiss A.L., Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl. Acad. Sci. U.S.A. 2003, 100:253-258.
15. Hagmann P., Cammoun L., Gigandet X., Meuli R., Honey C.J., Wedeen V.J., Sporns O. Mapping the structural core of human cerebral cortex. PLoS Biol. 2008, 6:1479-1493.
16. He Y., Chen Z.J., Evans A.C. Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. Cereb. Cortex 2007, 17:2407-2419.
17. Horwitz B. The elusive concept of brain connectivity. Neuroimage 2003, 19:466-470.
18. Kimbrell T.A., Ketter T.A., George M.S., Little J.T., Benson B.E., Willis M.W., Herscovitch P., Post R.M. Regional cerebral glucose utilization in patients with a range of severities of unipolar depression. Biol. Psychiat. 2002, 51:237-252.
19. Lemogne C., Delaveau P., Freton M., Guionnet S., Fossati P. Medial prefrontal cortex and the self in major depression. J. Affect. Disorders 2011.
20. Liu J., Liang J., Qin W., Tian J., Yuan K., Bai L., Zhang Y., Wang W., Wang Y., Li Q. Dysfunctional connectivity patterns in chronic heroin users: an fMRI study. Neurosci. Lett. 2009, 460:72-77.
21. Liu J.X., Qin W., Guo Q., Sun J.B., Yuan K., Liu P., Zhang Y., Deneen K., Liu Y.J., Tian J. Distinct brain networks for time-varied characteristics of acupuncture. Neurosci. Lett. 2010, 468:353-358.
22. Liu Y., Liang M., Zhou Y., He Y., Hao Y., Song M., Yu C., Liu H., Liu Z., Jiang T. Disrupted small-world networks in schizophrenia. Brain 2008, 131:945-961.
23. McCabe C., Mishor Z., Filippini N., Cowen P.J., Taylor M.J., Harmer C.J. SSRI administration reduces resting state functional connectivity in dorso-medial prefrontal cortex. Mol. Psychiatr. 2011, 16:502-504.
24. Pastor J., Lafon M., Travé-Massuyès L., Démonet J.F., Doyon B., Celsis P. Information processing in large-scale cerebral networks: the causal connectivity approach. Biol. Cybern. 2000, 82:49-59.
25. Pine D.S., Cohen E., Cohen P., Brook J. Adolescent depressive symptoms as predictors of adult depression: moodiness or mood disorder?. Am. J. Psychiat. 1999, 156:133-135.
26. Rajah M.N., D'Esposito M. Region-specific changes in prefrontal function with age: a review of PET and fMRI studies on working and episodic memory. Brain 2005, 128:1964-1983.
27. Stam C.J., Jones B.F., Nolte G., Breakspear M., Scheltens P. Small-world networks and functional connectivity in Alzheimer's disease. Cereb. Cortex 2007, 17:92-99.
28. Tzourio-Mazoyer N., Landeau B., Papathanassiou D., Crivello F., Etard O., Delcroix N., Mazoyer B., Joliot M. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002, 15:273-289.
29. Vincent J.L., Snyder A.Z., Fox M.D., Shannon B.J., Andrews J.R., Raichle M.E., Buckner R.L. Coherent spontaneous activity identifies a hippocampal-parietal memory network. J. Neurophysiol. 2006, 96:3517-3531.
30. Wang L., Li Y., Metzak P., He Y., Woodward T.S. Age-related changes in topological patterns of large-scale brain functional networks during memory encoding and recognition. NeuroImage 2010, 50:862-872.
31. Watts D.J., Strogatz S.H. Collective dynamics of 'small-world' networks. Nature 1998, 393:440-442.
32. Weissman M.M., Wolk S., Goldstein R.B., Moreau D., Adams P., Greenwald S., Klier C.M., Ryan N.D., Dahl R.E., Wickramaratne P. Depressed adolescents grown up. J. Am. Med. Assoc. 1999, 281:1713.
33. Yang T.T., Simmons A.N., Matthews S.C., Tapert S.F., Frank G.K., Bischoff-Grethe A., Lansing A.E., Wu J., Brown G.G., Paulus M.P. Depressed adolescents demonstrate greater subgenual anterior cingulate activity. Neuroreport 2009, 20:440-444.
34. Yang T.T., Simmons A.N., Matthews S.C., Tapert S.F., Frank G.K., Max J.E., Bischoff-Grethe A., Lansing A.E., Brown G., Strigo I.A. Adolescents with major depression demonstrate increased amygdala activation. J. Am. Acad. Child Psychiatry 2010, 49:42-51.