Clinical, functional, and biological correlates of cognitive dimensions in major depressive disorder - Rationale, design, and characteristics of the cognitive function and mood study (CoFaM-Study)

Frontiers in Psychiatry

Volumn 7, Issue AUG, 2016, Pages

  Baune, Bernhard T ^a   Air, Tracy ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

Biological correlates; Cognitive dimensions; Cognitive function; Depression; Emotion processing; Genomic biomarkers; Social cognition

Indexed keywords

ANTIDEPRESSANT AGENT;

ADULT; ARTICLE; BIPOLAR DISORDER; COGNITION FUNCTION AND MOOD STUDY; COGNITIVE FUNCTION TEST; CONTROLLED STUDY; DISEASE COURSE; DSM-IV; EMOTIONALITY; FEMALE; GENETIC ANALYSIS; HUMAN; MAJOR DEPRESSION; MENTAL PERFORMANCE; MOLECULAR GENETICS; MOOD DISORDER; PRODUCTIVITY; PROSPECTIVE STUDY; QUALITY OF LIFE; SOCIAL COGNITION;

EID: 84988826385     PISSN: None     EISSN: 16640640     Source Type: Journal    
DOI: 10.3389/fpsyt.2016.00150     Document Type: Article

References (95)

1. Wittchen HU, Jacobi F, Rehm J, Gustavsson A, Svensson M, Jonsson B, et al. The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol (2011) 21:655-79. doi: 10.1016/j.euroneuro.2011.07.018
2. Department of Mental Health and Substance Dependence, N.D.a.M.H, World Health Organization. In: World Health Organization, editor. Investing in Mental Health. Geneva, Switzerland (2003).
3. WHO. Depression [Online]. WHO (2016). Available from: http://www.who.int/mediacentre/factsheets/fs369/en/
4. Murray CJL, Lopez AD. Global Health Statistics: A Compendium of Incidence, Prevalence and Mortality Estimates for over 200 Conditions. Cambridge: Harvard School of Public Health (1996).
5. Ustun TB, Ayuso-Mateos JL, Chatterji S, Mathers C, Murray CJ. Global burden of depressive disorders in the year 2000. Br J Psychiatry (2004) 184:386-92. doi:10.1192/bjp.184.5.386
6. Baune BT, Miller R, Mcafoose J, Johnson M, Quirk F, Mitchell D. The role of cognitive impairment in general functioning in major depression. Psychiatry Res (2010) 176:183-9. doi:10.1016/j.psychres.2008.12.001
7. Maalouf FT, Brent D, Clark L, Tavitian L, Mchugh RM, Sahakian BJ, et al. Neurocognitive impairment in adolescent major depressive disorder: state vs. trait illness markers. J Affect Disord (2011) 133:625-32. doi:10.1016/j.jad.2011.04.041
8. Baune BT, Mcafoose J, Leach G, Quirk F, Mitchell D. Impact of psychiatric and medical comorbidity on cognitive function in depression. Psychiatry Clin Neurosci (2009) 63:392-400. doi:10.1111/j.1440-1819.2009.01971.x
9. Beblo T, Sinnamon G, Baune BT. Specifying the neuropsychology of affective disorders: clinical, demographic and neurobiological factors. Neuropsychol Rev (2011) 21:337-59. doi:10.1007/s11065-011-9171-0
10. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-5). American Psychiatric Association Publishing (2013).
11. WHO. ICD-10 Classification of Mental and Behavioral Disorders with Glossary and Diagnostic Criteria for Research ICD-10: DCR-10. Edinburgh: Churchill Livingstone (1991).
12. Baune BT, Fuhr M, Air T, Hering C. Neuropsychological functioning in adolescents and young adults with major depressive disorder-a review. Psychiatry Res (2014) 218:261-71. doi:10.1016/j.psychres.2014.04.052
13. Channon S. Executive dysfunction in depression: the Wisconsin Card Sorting test. J Affect Disord (1996) 39:107-14. doi:10.1016/0165-0327(96)00027-4
14. Porter RJ, Gallagher P, Thompson JM, Young AH. Neurocognitive impairment in drug-free patients with major depressive disorder. Br J Psychiatry (2003) 182:214-20. doi:10.1192/bjp.182.3.214
15. Biringer E, Lundervold A, Stordal K, Mykletun A, Egeland J, Bottlender R, et al. Executive function improvement upon remission of recurrent unipolar depression. Eur Arch Psychiatry Clin Neurosci (2005) 255:373-80. doi:10.1007/s00406-005-0577-7
16. Egeland J, Lund A, Landro NI, Rund BR, Sundet K, Asbjornsen A, et al. Cortisol level predicts executive and memory function in depression, symptom level predicts psychomotor speed. Acta Psychiatr Scand (2005) 112:434-41. doi:10.1111/j.1600-0447.2005.00599.x
17. Nakano Y, Baba H, Maeshima H, Kitajima A, Sakai Y, Baba K, et al. Executive dysfunction in medicated, remitted state of major depression. J Affect Disord (2008) 111:46-51. doi:10.1016/j.jad.2008.01.027
18. Douglas KM, Porter RJ. Longitudinal assessment of neuropsychological function in major depression. Aust N Z J Psychiatry (2009) 43:1105-17. doi:10.3109/00048670903279887
19. Hammar A, Sorensen L, Ardal G, Oedegaard KJ, Kroken R, Roness A, et al. Enduring cognitive dysfunction in unipolar major depression: a test-retest study using the Stroop paradigm. Scand J Psychol (2010) 51:304-8. doi:10.1111/j.1467-9450.2009.00765.x
20. Garcia-Toro M, Talavera JA, Gonzalez E, Tejada P, Blanco C, Gonzalez A, et al. Audioverbal cognitive dysfunction in depression. Factors involved. Prog Neuropsychopharmacol Biol Psychiatry (2003) 27:37-42. doi:10.1016/S0278-5846(02)00312-3
21. Mackinger HF, Pachinger MM, Leibetseder MM, Fartacek RR. Autobiographical memories in women remitted from major depression. J Abnorm Psychol (2000) 109:331-4. doi:10.1037/0021-843X.109.2.331
22. Mojtabai R, Olfson M. Cognitive deficits and the course of major depression in a cohort of middle-aged and older community-dwelling adults. J Am Geriatr Soc (2004) 52:1060-9. doi:10.1111/j.1532-5415.2004.52302.x
23. Paelecke-Habermann Y, Pohl J, Leplow B. Attention and executive functions in remitted major depression patients. J Affect Disord (2005) 89:125-35. doi:10.1016/j.jad.2005.09.006
24. Purcell R, Maruff P, Kyrios M, Pantelis C. Neuropsychological function in young patients with unipolar major depression. Psychol Med (1997) 27:1277-85. doi:10.1017/S0033291797005448
25. Ravnkilde B, Videbech P, Clemmensen K, Egander A, Rasmussen NA, Rosenberg R. Cognitive deficits in major depression. Scand J Psychol (2002) 43:239-51. doi:10.1111/1467-9450.00292
26. Mondal S, Sharma VK, Das S, Goswami U, Gandhi A. Neuro-cognitive functions in patients of major depression. Indian J Physiol Pharmacol (2007) 51:69-75.
27. Rock PL, Roiser JP, Riedel WJ, Blackwell AD. Cognitive impairment in depression: a systematic review and meta-analysis. Psychol Med (2014) 44(10):2029-40. doi:10.1017/S0033291713002535
28. McDermott LM, Ebmeier KP. A meta-analysis of depression severity and cognitive function. J Affect Disord (2009) 119:1-8. doi:10.1016/j.jad.2009.04.022
29. Jaeger J, Berns S, Uzelac S, Davis-Conway S. Neurocognitive deficits and disability in major depressive disorder. Psychiatry Res (2006) 145:39-48. doi:10.1016/j.psychres.2005.11.011
30. Hasselbalch BJ, Knorr U, Kessing LV. Cognitive impairment in the remitted state of unipolar depressive disorder: a systematic review. J Affect Disord (2011) 134:20-31. doi:10.1016/j.jad.2010.11.011
31. Godard J, Baruch P, Grondin S, Lafleur MF. Psychosocial and neurocognitive functioning in unipolar and bipolar depression: a 12-month prospective study. Psychiatry Res (2012) 196:145-53. doi:10.1016/j.psychres.2011.09.013
32. Baune BT, Li X, Beblo T. Short-and long-term relationships between neurocognitive performance and general function in bipolar disorder. J Clin Exp Neuropsychol (2013) 35(7):759-74. doi:10.1080/13803395.2013.824071
33. Kiosses DN, Alexopoulos GS. IADL functions, cognitive deficits, and severity of depression-a preliminary study. Am J Geriatr Psychiatry (2005) 13:244-9. doi:10.1097/00019442-200503000-00010
34. Evans VC, Iverson GL, Yatham LN, Lam RW. The relationship between neurocognitive and psychosocial functioning in major depressive disorder: a systematic review. J Clin Psychiatry (2014) 75:1359-70. doi:10.4088/JCP.13r08939
35. Martinez-Aran A, Scott J, Colom F, Torrent C, Tabares-Seisdedos R, Daban C, et al. Treatment nonadherence and neurocognitive impairment in bipolar disorder. J Clin Psychiatry (2009) 70:1017-23. doi:10.4088/JCP.08m04408
36. Westheide J, Quednow BB, Kuhn KU, Hoppe C, Cooper-Mahkorn D, Hawellek B, et al. Executive performance of depressed suicide attempters: the role of suicidal ideation. Eur Arch Psychiatry Clin Neurosci (2008) 258:414-21. doi:10.1007/s00406-008-0811-1
37. Weightman MJ, Air TM, Baune BT. A review of the role of social cognition in major depressive disorder. Front Psychiatry (2014) 5:179. doi:10.3389/fpsyt.2014.00179
38. Elliott R, Sahakian BJ, Herrod JJ, Robbins TW, Paykel ES. Abnormal response to negative feedback in unipolar depression: evidence for a diagnosis specific impairment. J Neurol Neurosurg Psychiatry (1997) 63:74-82. doi:10.1136/jnnp.63.1.74
39. Drevets WC, Price JL, Simpson JR, Todd RD, Reich T, Vannier M, et al. Subgenual prefrontal cortex abnormalities in mood disorders. Nature (1997) 386:824-7. doi:10.1038/386824a0
40. Drevets WC, Price JL, Furey ML. Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression. Brain Struct Funct (2008) 213:93-118. doi:10.1007/s00429-008-0189-x
41. Sheline YI, Wang PW, Gado MH, Csernansky JG, Vannier MW. Hippocampal atrophy in recurrent major depression. Proc Natl Acad Sci U S A (1996) 93:3908-13. doi:10.1073/pnas.93.9.3908
42. McKinnon MC, Yucel K, Nazarov A, Macqueen GM. A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. J Psychiatry Neurosci (2009) 34:41-54.
43. Vythilingam M, Heim C, Newport J, Miller AH, Anderson E, Bronen R, et al. Childhood trauma associated with smaller hippocampal volume in women with major depression. Am J Psychiatry (2002) 159:2072-80. doi:10.1176/appi.ajp.159.12.2072
44. Frodl T, Moller HJ, Meisenzahl E. Neuroimaging genetics: new perspectives in research on major depression? Acta Psychiatr Scand (2008) 118:363-72. doi:10.1111/j.1600-0447.2008.01225.x
45. Lorenzetti V, Allen NB, Fornito A, Yucel M. Structural brain abnormalities in major depressive disorder: a selective review of recent MRI studies. J Affect Disord (2009) 117(1-2):1-17. doi:10.1016/j.jad.2008.11.021
46. Pizzagalli DA. Depression, stress, and anhedonia: toward a synthesis and integrated model. Annu Rev Clin Psychol (2014) 10:393-423. doi:10.1146/annurev-clinpsy-050212-185606
47. Dantzer R, O'connor JC, Freund GG, Johnson RW, Kelley KW. From inflammation to sickness and depression: when the immune system subjugates the brain. Nat Rev Neurosci (2008) 9:46-56. doi:10.1038/nrn2297
48. Miller AH, Maletic V, Raison CL. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol Psychiatry (2009) 65:732-41. doi:10.1016/j.biopsych.2008.11.029
49. McAfoose J, Baune BT. Evidence for a cytokine model of cognitive function. Neurosci Biobehav Rev (2009) 33:355-66. doi:10.1016/j.neubiorev.2008.10.005
50. Schubert KO, Stacey D, Air T, Baune BT. Peripheral blood gene expression analysis implicates B lymphocyte proliferation and ribosomal S26 transcripts in cognitive dysfunction in people with remitted major depression. J Affect Disord (2016) 190:754-6. doi:10.1016/j.jad.2015.11.022
51. Stacey D, Ciobanu LG, Baune BT. A systematic review on the association between inflammatory genes and cognitive decline in non-demented elderly individuals. Eur Neuropsychopharmacol (2015). doi:10.1016/j.euroneuro.2015.12.017
52. Association AP. DSM IV Diagnostic and Statistical Manual of Mental Disorders. Washington, DC: American Psychiatric Association (1994).
53. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, et al. The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry (1998) 59(Suppl 20):22-33;quiz 34-57.
54. Sheehan DV, Sheehan KH, Shytle RD, Janavs J, Bannon Y, Rogers JE, et al. Reliability and validity of the mini international neuropsychiatric interview for children and adolescents (MINI-KID). J Clin Psychiatry (2010) 71:313-26. doi:10.4088/JCP.09m05305whi
55. Williams JB. A structured interview guide for the Hamilton Depression Rating Scale. Arch Gen Psychiatry (1988) 45:742-7. doi:10.1001/archpsyc.1988.01800320058007
56. Cacilhas AA, Magalhaes PV, Cereser KM, Walz JC, Weyne F, Rosa AR, et al. Validity of a short functioning test (FAST) in Brazilian outpatients with bipolar disorder. Value Health (2009) 12:624-7. doi:10.1111/j.1524-4733.2008.00481.x
57. Gonzalez-Ortega I, Rosa A, Alberich S, Barbeito S, Vega P, Echeburua E, et al. Validation and use of the functioning assessment short test in first psychotic episodes. J Nerv Ment Dis (2010) 198:836-40. doi:10.1097/NMD.0b013e3181f97bf9
58. Alda M. Retrospective criteria of lithium response in research subjects [online]. J Clin Psychiatry (2002) 63(10).
59. Melvin GA, Molloy GN. Some psychometric properties of the positive and negative affect schedule among Australian youth. Psychol Rep (2000) 86:1209-12. doi:10.2466/pr0.2000.86.3c.1209
60. Molloy GN, Pallant JF, Kantas A. A psychometric comparison of the positive and negative affect schedule across age and sex. Psychol Rep (2001) 88:861-2. doi:10.2466/pr0.2001.88.3.861
61. Egloff B, Schmukle SC, Burns LR, Kohlmann CW, Hock M. Facets of dynamic positive affect: differentiating joy, interest, and activation in the positive and negative affect schedule (PANAS). J Pers Soc Psychol (2003) 85:528-40. doi:10.1037/0022-3514.85.3.528
62. Crawford JR, Henry JD. The positive and negative affect schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample. Br J Clin Psychol (2004) 43:245-65. doi:10.1348/0144665031752934
63. Ostir GV, Smith PM, Smith D, Ottenbacher KJ. Reliability of the positive and negative affect schedule (PANAS) in medical rehabilitation. Clin Rehabil (2005) 19:767-9. doi:10.1191/0269215505cr894oa
64. Leue A, Lange S. Reliability generalization: an examination of the positive affect and negative affect schedule. Assessment (2011) 18:487-501. doi:10.1177/1073191110374917
65. Linn MW. Modifiers and Perceived Stress Scale. J Consult Clin Psychol (1986) 54:507-13. doi:10.1037/0022-006X.54.4.507
66. Cole SR. Assessment of differential item functioning in the Perceived Stress Scale-10. J Epidemiol Community Health (1999) 53:319-20. doi:10.1136/jech.53.5.319
67. Golden-Kreutz DM, Browne MW, Frierson GM, Andersen BL. Assessing stress in cancer patients: a second-order factor analysis model for the Perceived Stress Scale. Assessment (2004) 11:216-23. doi:10.1177/1073191104267398
68. Mitchell AM, Crane PA, Kim Y. Perceived stress in survivors of suicide: psychometric properties of the Perceived Stress Scale. Res Nurs Health (2008) 31:576-85. doi:10.1002/nur.20284
69. Sanson-Fisher RW, Perkins JJ. Adaptation and validation of the SF-36 health survey for use in Australia. J Clin Epidemiol (1998) 51:961-7. doi:10.1016/S0895-4356(98)00087-0
70. Ware JE Jr, Keller SD, Hatoum HT, Kong SX. The SF-36 arthritis-specific health index (ASHI): I. Development and cross-validation of scoring algorithms. Med Care (1999) 37:MS40-50. doi:10.1097/00005650-199905001-00004
71. Gee L, Abbott J, Conway SP, Etherington C, Webb AK. Validation of the SF-36 for the assessment of quality of life in adolescents and adults with cystic fibrosis. J Cyst Fibros (2002) 1:137-45. doi:10.1016/S1569-1993(02)00079-6
72. de Vet HC, Ader HJ, Terwee CB, Pouwer F. Are factor analytical techniques used appropriately in the validation of health status questionnaires? A systematic review on the quality of factor analysis of the SF-36. Qual Life Res (2005) 14:1203-18;discussion 1219-1221, 1223-1204. doi:10.1007/s11136-004-5742-3
73. Knox SA, King MT. Validation and calibration of the SF-36 health transition question against an external criterion of clinical change in health status. Qual Life Res (2009) 18:637-45. doi:10.1007/s11136-009-9467-1
74. Martinez-Hernandez LE, Segura-Mendez NH, Antonio-Ocampo A, Torres-Salazar A, Murillo-Gomez E. [Validation of the SF-36 questionnaire in adults with asthma and allergic rhinitis in Mexican population]. Rev Med Inst Mex Seguro Soc (2010) 48:531-4.
75. Martin ML, Patrick DL, Gandra SR, Bennett AV, Leidy NK, Nissenson AR, et al. Content validation of two SF-36 subscales for use in type 2 diabetes and non-dialysis chronic kidney disease-related anemia. Qual Life Res (2011) 20:889-901. doi:10.1007/s11136-010-9812-4
76. Bernstein D, Fink L. Childhood Trauma Questionnaire: A Retrospective Self-Report. San Antonio, TX: The Psychological Corporation (1998).
77. Radloff L. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas (1977) 1:385-401. doi:10.1177/014662167700100306
78. Wagner L, Sweet J, Butt Z, Lai J, Cella D. Measuring patient self-reported cognitive function: development of the functional assessement of cancer therapy-cognitive function instrument. J Support Oncol (2009) 7:W32-9.
79. Wagnild GM, Young HM. Resiliency Scale. Worden, MT: The Resilience Center (1987).
80. Arnold DS, O'leary SG, Wolff LS, Acker MM. The Parenting Scale: a measure of dysfunctional parenting in discipline situations. Psychol Assess (1993) 5:137-44. doi:10.1037/1040-3590.5.2.137
81. Locke LM, Prinz RJ. Measurement of parental discipline and nurturance. Clin Psychol Rev (2002) 22:895-929. doi:10.1016/S0272-7358(02)00133-2
82. Sanders MR, Woolley ML. The relationship between maternal self-efficacy and parenting practices: implications for parent training. Child Care Health Dev (2005) 31:65-73. doi:10.1111/j.1365-2214.2005.00487.x
83. Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry (1987) 150:782-6. doi:10.1192/bjp.150.6.782
84. Randolph C, Tierney MC, Mohr E, Chase TN. The repeatable battery for the assessment of neuropsychological status (RBANS): preliminary clinical validity. J Clin Exp Neuropsychol (1998) 20:310-9. doi:10.1076/jcen.20.3.310.823
85. Mueller ST, Piper BJ. The Psychology Experiment Building Language (PEBL) and PEBL Test Battery. J Neurosci Methods (2014) 222:250-9. doi:10.1016/j.jneumeth.2013.10.024
86. Tulsky DS, Price LR. The joint WAIS-III and WMS-III factor structure: development and cross-validation of a six-factor model of cognitive functioning. Psychol Assess (2003) 15:149-62. doi:10.1037/1040-3590.15.2.149
87. Allen DN, Barchard KA. Identification of a social cognition construct for the WAIS-III. Appl Neuropsychol (2009) 16:262-74. doi:10.1080/09084280903297727
88. Mueller ST, Piper BJ. The psychology experiment building language (PEBL) and PEBL test battery. J Neurosci Methods (2014) 222:250-9. doi:10.1016/j.jneumeth.2013.10.024
89. Shallice T. Specific impairments of planning. Philos Trans R Soc Lond B Biol Sci (1982) 298:199-209. doi:10.1098/rstb.1982.0082
90. Grant DA, Berg EA. A behavioral analysis of degree of reinforcement and ease of shifting to new responses in a Weigl-type card-sorting problem. J Exp Psychol (1948) 38:404-11. doi:10.1037/h0059831
91. Corsi PM. Human memory and the medial temporal region of the brain. Dissertration Abstracts International (1972) 34:819B.
92. Stroop JR. Studies of interference in serial verbal reactions. J Exp Psychol (1935) 18:643-62. doi:10.1037/h0054651
93. Harrison J. Measuring the mind: detecting cognitive deficits and measuring cognitive change in patients with depression. In: Mcintyre R, editor. Cognitive Impairment in Major Depressive Disorder. Cambridge: Cambridge University Press (2016). p. 229-41.
94. Sullivan J, Edgley K, Dehoux E. A survey of multiple sclerosis: part1: perceived cognitive problems and compensatory strategy use. Can J Psychiatry (1990) 4:99-105.
95. Lam RW, Saragoussi D, Danchenko N, Rive B, Lamy FX, Brevig T. Psychometric validation of perceived deficits questionnaire-depression (PDQ-D) in patients with major depressive disorder (MDD). Value Health (2013):A330. doi:10.1016/j.jval.2013.08.046