Ventral striatum functional connectivity as a predictor of adolescent depressive disorder in a longitudinal community-based sample

American Journal of Psychiatry

Volumn 174, Issue 11, 2017, Pages 1112-1119

  Pan, Pedro Mario ^a   Sato, João R ^a   Salum, Giovanni A ^a   Rohde, Luis A ^a   Gadelha, Ary ^a   Zugman, Andre ^a   Mari, Jair ^a   Jackowski, Andrea ^a   Picon, Felipe ^a   Miguel, Eurípedes C ^a   Pine, Daniel S ^a   Leibenluft, Ellen ^a   Bressan, Rodrigo A ^a   Stringaris, Argyris ^a  

^a UNIVERSIDADE FEDERAL DO ABC   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ANTERIOR CINGULATE; ARTICLE; BRAIN MAPPING; CHILD; COHORT ANALYSIS; CONTROLLED STUDY; DEPRESSION; FEMALE; FOLLOW UP; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; LOGISTIC REGRESSION ANALYSIS; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRESCHOOL CHILD; PRIORITY JOURNAL; PSYCHOLOGICAL WELL-BEING; SCHOOL CHILD; SOCIOECONOMICS; VENTRAL STRIATUM; VENTRAL TEGMENTUM; VENTROMEDIAL PREFRONTAL CORTEX; BRAIN; BRAZIL; DEPRESSIVE DISORDER; DEPRESSIVE DISORDER, MAJOR; DIAGNOSTIC IMAGING; FUNCTIONAL NEUROIMAGING; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; ODDS RATIO; PATHOPHYSIOLOGY; REWARD; RISK ASSESSMENT;

ADOLESCENT; BRAIN; BRAZIL; CHILD; COHORT STUDIES; DEPRESSIVE DISORDER; DEPRESSIVE DISORDER, MAJOR; FEMALE; FOLLOW-UP STUDIES; FUNCTIONAL NEUROIMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; MALE; ODDS RATIO; REWARD; RISK ASSESSMENT; VENTRAL STRIATUM;

EID: 85032889118     PISSN: 0002953X     EISSN: 15357228     Source Type: Journal    
DOI: 10.1176/appi.ajp.2017.17040430     Document Type: Article

References (40)

1. Ferrari AJ, Charlson FJ, Norman RE, et al: Burden of depressive disorders by country, sex, age, and year: Findings from the Global Burden of Disease study 2010. PLoS Med 2013; 10:e1001547
2. Beesdo K, Höfler M, Leibenluft E, et al: Mood episodes and mood disorders: Patterns of incidence and conversion in the first three decades of life. Bipolar Disord 2009; 11:637-649
3. Forbes EE, Dahl RE: Research review: Altered reward function in adolescent depression: what, when, and how?. J Child Psychol Psychiatry 2012; 53:3-15
4. Stringaris A, Vidal-Ribas Belil P, Artiges E, et al: The brain's response to reward anticipation and depression in adolescence: Dimensionality, specificity, and longitudinal predictions in a community-based sample. Am J Psychiatry 2015; 172:1215-1223
5. Kerestes R, Davey CG, Stephanou K, et al: Functional brain imaging studies of youth depression: A systematic review. Neuroimage Clin 2013; 4:209-231
6. Mulders PC, van Eijndhoven PF, Schene AH, et al: Resting-state functional connectivity in major depressive disorder: A review. Neurosci Biobehav Rev 2015; 56:330-344
7. KaiserRH, Andrews-Hanna JR, WagerTD, et al: Large-scale network dysfunction in major depressive disorder: A meta-analysis of restingstate functional connectivity. JAMA Psychiatry 2015; 72:603-611
8. DrysdaleAT, Grosenick L, DownarJ, et al: Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat Med 2017; 23:28-38
9. Rubinov M, Sporns O: Complex network measures of brain connectivity: Uses and interpretations. Neuroimage 2010; 52:1059-1069
10. Satterthwaite TD, Kable JW, Vandekar L, et al: Common and dissociable dysfunction of the reward system in bipolar and unipolar depression. Neuropsychopharmacology 2015; 40:2258-2268
11. Sharma A, Wolf DH, Ciric R, et al: Common dimensional reward deficits across mood and psychotic disorders: A connectome-wide association study. Am J Psychiatry 2017; 174:657-666
12. Gabbay V, Ely BA, Li Q, et al: Striatum-based circuitry of adolescent depression and anhedonia. J Am Acad Child Adolesc Psychiatry 2013; 52:628-641.e13
13. Davey CG, Whittle S, Harrison BJ, et al: Functional brain-imaging correlates of negative affectivity and the onset of first-episode depression. Psychol Med 2015; 45:1001-1009
14. ConnollyCG, Wu J, HoTC, et al:Resting-state functional connectivity of subgenual anterior cingulate cortex in depressed adolescents. Biol Psychiatry 2013; 74:898-907
15. Cullen KR, Westlund MK, Klimes-Dougan B, et al: Abnormal amygdala resting-state functional connectivity in adolescent depression. JAMA Psychiatry 2014; 71:1138-1147
16. Salum GA, Gadelha A, Pan PM, et al: High risk cohort study for psychiatric disorders in childhood: Rationale, design, methods, and preliminary results. Int J Methods Psychiatr Res 2015; 24:58-73
17. WeissmanMM, Wickramaratne P, AdamsP, et al: Brief screening for family psychiatric history: The Family History Screen. Arch Gen Psychiatry 2000; 57:675-682
18. Goodman R, Ford T, Richards H, et al: The Development and Well-Being Assessment: Description and initial validation of an integrated assessment of childand adolescent psychopathology. J Child Psychol Psychiatry 2000; 41:645-655
19. Fleitlich-Bilyk B, Goodman R: Prevalence of child and adolescent psychiatric disorders in southeast Brazil. J Am Acad Child Adolesc Psychiatry 2004; 43:727-734
20. Schwab-Stone M, Fallon T, Briggs M, et al: Reliability of diagnostic reporting for children aged 6-11 years: A test-retest study of the Diagnostic Interview Schedule for Children-Revised. Am J Psychiatry 1994; 151:1048-1054
21. Mennes M, Biswal BB, Castellanos FX, et al: Making data sharing work: The FCP/INDI experience. Neuroimage 2013; 82:683-691
22. 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
23. 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
24. Yan CG, Cheung B, Kelly C, et al: A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage 2013; 76:183-201
25. Sato JR, Biazoli CE Jr, Salum GA, et al: Connectome hubs at resting state in children and adolescents: Reproducibility and psychopathological correlation. Dev Cogn Neurosci 2016; 20:2-11
26. Bartra O, McGuire JT, Kable JW: The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. Neuroimage 2013; 76: 412-427
27. Sato JR, Salum GA, Gadelha A, et al: Age effects on the default mode and control networks in typically developing children. J Psychiatr Res 2014; 58:89-95
28. Lewinsohn PM, Sullivan JM, Grosscup SJ: Changing reinforcing events: An approach to the treatment of depression. Psychotherapy: Theory, Research, and Practice 1980; 17:322-334
29. Jacobson NS, Martell CR, Dimidjian S: Behavioral activation treatment for depression: Returning to contextual roots. Clin Psychol Sci Pract 2001; 8:255-270
30. Dimidjian S, Hollon SD, Dobson KS, et al: Randomized trial of behavioral activation, cognitive therapy, and antidepressant medication in the acute treatment of adults with major depression. J Consult Clin Psychol 2006; 74:658-670
31. Ferenczi EA, Zalocusky KA, Liston C, et al: Prefrontal cortical regulation of brainwide circuit dynamics and reward-related behavior. Science 2016; 351:aac9698
32. Treadway MT, Buckholtz JW, Cowan RL, et al: Dopaminergic mechanisms of individual differences in human effort-based decision-making. J Neurosci 2012; 32:6170-6176
33. Sonuga-Barke EJ, Cortese S, Fairchild G, et al: Annual research review: Transdiagnostic neuroscience of child and adolescent mental disorders: Differentiating decision making in attention-deficit/ hyperactivity disorder, conduct disorder, depression, and anxiety. J Child Psychol Psychiatry 2016; 57:321-349
34. Helfinstein SM, Kirwan ML, Benson BE, et al: Validation of a childfriendly version of the monetary incentive delay task. Soc Cogn Affect Neurosci 2013; 8:720-726
35. van Duijvenvoorde AC, Achterberg M, Braams BR, et al: Testing a dual-systems model of adolescent brain development using restingstate connectivity analyses. Neuroimage 2016; 124(Pt A):409-420
36. Braams BR, van Duijvenvoorde AC, Peper JS, et al: Longitudinal changes in adolescent risk-taking: A comprehensive study of neural responses to rewards, pubertal development, and risk-taking behavior. J Neurosci 2015; 35:7226-7238
37. Haber SN, Knutson B: The reward circuit: Linking primate anatomy and human imaging. Neuropsychopharmacology 2010; 35:4-26
38. Kessler RC, Avenevoli S, McLaughlin KA, et al: Lifetime co-morbidity of DSM-IV disorders in the US National Comorbidity Survey Replication Adolescent Supplement (NCS-A). Psychol Med 2012; 42: 1997-2010
39. Ma I, van Holstein M, Mies GW, et al: Ventral striatal hyperconnectivity during rewarded interference control in adolescents with ADHD. Cortex 2016; 82:225-236
40. Pannekoek JN, van der Werff SJ, van Tol MJ, et al: Investigating distinct and common abnormalities of resting-state functional connectivity in depression, anxiety, and their comorbid states. Eur Neuropsychopharmacol 2015; 25:1933-1942