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).
paper
Cited
Public
- Authors
- Baune, Bernhard T; Air, Tracy
- Year
- 2016
- Journal
- Frontiers in psychiatry
- PMID
- 27616997
- DOI
- 10.3389/fpsyt.2016.00150
- PMCID
- PMC4999943
Cross-sectional and longitudinal studies exploring clinical, functional, and biological correlates of major depressive disorder are frequent. In this type of research, depression is most commonly defined as a categorical diagnosis based on studies using diagnostic instruments. Given the phenotypic and biological heterogeneity of depression, we chose to focus the phenotypic assessments on three cognitive dimensions of depression including (a) cognitive performance, (b) emotion processing, and (c) social cognitive functioning. Hence, the overall aim of the study is to investigate the long-term clinical course of these cognitive dimensions in depression and its functional (psychosocial) correlates. We also aim to identify biological "genomic" correlates of these three cognitive dimensions of depression. To address the above overall aim, we created the Cognition and Mood Study (CoFaMS) with the key objective to investigate the clinical, functional, and biological correlates of cognitive dimensions of depression by employing a prospective study design and including a healthy control group. The study commenced in April 2015, including patients with a primary diagnosis of a major depressive episode of major depressive disorder or bipolar disorder according to DSM-IV-TR criteria. The assessments cover the three cognitive dimensions of depression (cognitive performance, emotion processing, and social cognition), cognitive function screening instrument, plus functional scales to assess general, work place, and psychosocial function, depression symptom scales, and clinical course of illness. Blood is collected for comprehensive genomic discovery analyses of biological correlates of cognitive dimensions of depression. The CoFaM-Study represents an innovative approach focusing on cognitive dimensions of depression and its functional and biological "genomic" correlates. The CoFaMS team welcomes collaborations with both national and international researchers.
No figures extracted from this document.
| # | Section | Preview |
|---|---|---|
| 20 | Clinical, Self-Report, and Cognitive Assessments β Work Productivity | A self-made employment questionnaire is administered to the participants. This questionnaire wasβ¦ |
| 21 | Clinical, Self-Report, and Cognitive Assessments β General Functioning | Participants are rated on their symptom severity using the Clinical Global Impression Severity Scaleβ¦ |
| 22 | Clinical, Self-Report, and Cognitive Assessments β Treatment Response to Psychotropic Medication | The Lifetime Psychotropic Treatment Response scale (LPTR) is a modified scale from the Lithiumβ¦ |
| 23 | Clinical, Self-Report, and Cognitive Assessments β Assessments of Additional Clinical Characteristics | Participants will complete a battery of self-report questionnaires using standardized scalesβ¦ |
| 24 | Clinical, Self-Report, and Cognitive Assessments β Assessments of Additional Clinical Characteristics | Some participants that will be recruited to the study will have a history of, or are suffering fromβ¦ |
| 25 | Clinical, Self-Report, and Cognitive Assessments β Assessments of Additional Clinical Characteristics β The Parenting Scale | The Parenting Scale (80) is a 30-item self-report questionnaire that measures three dysfunctionalβ¦ |
| 26 | Clinical, Self-Report, and Cognitive Assessments β Assessments of Additional Clinical Characteristics β The Parenting Tasks Checklist | The Parenting Tasks Checklist (82) consists of 28 items (self-report) designed to assessβ¦ |
| 27 | Clinical, Self-Report, and Cognitive Assessments β Assessments of Additional Clinical Characteristics β The Edinburgh Postnatal Depression Scale | The Edinburgh Postnatal Depression Scale (EPDS) is a self-report 10-item questionnaire that wasβ¦ |
| 28 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments | Participants are administered series of computer-based game-like activities using the Psychologyβ¦ |
| 29 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β The Psychology Experiment Building Language | The PEBL is a free, open-source software system that allows researchers and clinicians to design,β¦ |
| 30 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β The Psychology Experiment Building Language β Tower of London Test | Tower of London Test (89) is a well-known test used in applied clinical neuropsychology for theβ¦ |
| 31 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β The Psychology Experiment Building Language β Wisconsin Card Sort Test | Wisconsin Card Sort Test (WCST) (90) is a neuropsychological test of βset-shifting,β i.e., theβ¦ |
| 32 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β The Psychology Experiment Building Language β Corsi Block Tapping Test | Corsi Block Tapping Test (91) assesses visuo-spatial short term working memory. It involves clickingβ¦ |
| 33 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β The Psychology Experiment Building Language β Stroop Test β Stroop β Color-Word Interference | The Stroop test is a neuropsychological measure assessing processing speed and attentionβ¦ |
| 34 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β The Psychology Experiment Building Language β Repeatable Battery for the Assessment of Neuropsychological Status | The RBANS is a brief, individually administered screening instrument that aids in determining theβ¦ |
| 35 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β THINC-It Tool | The THINC-it tool has been developed in response to the need for a brief screening instrument forβ¦ |
| 36 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β THINC-It Tool β Digit Coding | This is a measure of attention, perceptual speed, motor speed, visual scanning, and memory. The testβ¦ |
| 37 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β THINC-It Tool β Choice Reaction Time | This test is used to assess psychomotor speed and choice reaction time. In this test, participantsβ¦ |
| 38 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β THINC-It Tool β N-Back | The N-Back test is measures executive control of the updating of information in working memory. Theβ¦ |
| 39 | Clinical, Self-Report, and Cognitive Assessments β Cognitive Assessments β THINC-It Tool β Trail-Making Test B | Trail-Making Test B is a neuropsychological test of visual attention and task switching.β¦ |
No entities extracted from this document yet.
No uploaded files.
Not in any collection.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| AldaM Retrospective criteria of lithium response in research subjects [online]. J Clin Psychiatry (2002) 63(10). | β | β | β |
| AllenDNBarchardKA. Identification of a social cognition construct for the WAIS-III. Appl Neuropsychol (2009) 16:262β74.10.1080/0908428090329772720183181 | β | β | β |
| American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-5). American Psychiatric Association Publishing (2013). | β | β | β |
| ArnoldDSOβlearySGWolffLSAckerMM The Parenting Scale: a measure of dysfunctional parenting in discipline situations. Psychol Assess (1993) 5:137β44.10.1037/1040-3590.5.2.137 | β | β | β |
| AssociationAP DSM IV Diagnostic and Statistical Manual of Mental Disorders. Washington, DC: American Psychiatric Association (1994). | β | β | β |
| BauneBTFuhrMAirTHeringC Neuropsychological functioning in adolescents and young adults with major depressive disorder β a review. Psychiatry Res (2014) 218:261β71.10.1016/j.psychres.2014.04.05224851725 | β | β | β |
| BauneBTLiXBebloT. Short- and long-term relationships between neurocognitive performance and general function in bipolar disorder. J Clin Exp Neuropsychol (2013) 35(7):759β74.10.1080/13803395.2013.82407123944232 | β | β | β |
| BauneBTMcafooseJLeachGQuirkFMitchellD. Impact of psychiatric and medical comorbidity on cognitive function in depression. Psychiatry Clin Neurosci (2009) 63:392β400.10.1111/j.1440-1819.2009.01971.x19566772 | β | β | β |
| BauneBTMillerRMcafooseJJohnsonMQuirkFMitchellD. The role of cognitive impairment in general functioning in major depression. Psychiatry Res (2010) 176:183β9.10.1016/j.psychres.2008.12.00120138370 | β | β | β |
| BebloTSinnamonGBauneBT Specifying the neuropsychology of affective disorders: clinical, demographic and neurobiological factors. Neuropsychol Rev (2011) 21:337β59.10.1007/s11065-011-9171-021660503 | β | β | β |
| BernsteinDFinkL Childhood Trauma Questionnaire: A Retrospective Self-Report. San Antonio, TX: The Psychological Corporation (1998). | β | β | β |
| BiringerELundervoldAStordalKMykletunAEgelandJBottlenderR Executive function improvement upon remission of recurrent unipolar depression. Eur Arch Psychiatry Clin Neurosci (2005) 255:373β80.10.1007/s00406-005-0577-715793669 | β | β | β |
| CacilhasAAMagalhaesPVCereserKMWalzJCWeyneFRosaAR Validity of a short functioning test (FAST) in Brazilian outpatients with bipolar disorder. Value Health (2009) 12:624β7.10.1111/j.1524-4733.2008.00481.x19900260 | β | β | β |
| ChannonS. Executive dysfunction in depression: the Wisconsin Card Sorting test. J Affect Disord (1996) 39:107β14.10.1016/0165-0327(96)00027-48827419 | β | β | β |
| ColeSR Assessment of differential item functioning in the Perceived Stress Scale-10. J Epidemiol Community Health (1999) 53:319β20.10.1136/jech.53.5.31910396541PMC1756880 | β | β | β |
| CorsiPM Human memory and the medial temporal region of the brain. Dissertration Abstracts International (1972) 34:819B. | β | β | β |
| CoxJLHoldenJMSagovskyR. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry (1987) 150:782β6.10.1192/bjp.150.6.7823651732 | β | β | β |
| CrawfordJRHenryJD. 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) 43:245β65.10.1348/014466503175293415333231 | β | β | β |
| DantzerROβconnorJCFreundGGJohnsonRWKelleyKW. From inflammation to sickness and depression: when the immune system subjugates the brain. Nat Rev Neurosci (2008) 9:46β56.10.1038/nrn229718073775PMC2919277 | β | β | β |
| de VetHCAderHJTerweeCBPouwerF 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) 14:1203β18;discussion 1219-1221, 1223-1204.10.1007/s11136-004-5742-316047498 | β | β | β |
| 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). | β | β | β |
| DouglasKMPorterRJ. Longitudinal assessment of neuropsychological function in major depression. Aust N Z J Psychiatry (2009) 43:1105β17.10.3109/0004867090327988720001409 | β | β | β |
| DrevetsWCPriceJLFureyML. Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression. Brain Struct Funct (2008) 213:93β118.10.1007/s00429-008-0189-x18704495PMC2522333 | β | β | β |
| DrevetsWCPriceJLSimpsonJRToddRDReichTVannierM Subgenual prefrontal cortex abnormalities in mood disorders. Nature (1997) 386:824β7.10.1038/386824a09126739 | β | β | β |
| EgelandJLundALandroNIRundBRSundetKAsbjornsenA Cortisol level predicts executive and memory function in depression, symptom level predicts psychomotor speed. Acta Psychiatr Scand (2005) 112:434β41.10.1111/j.1600-0447.2005.00599.x16279872 | β | β | β |
| EgloffBSchmukleSCBurnsLRKohlmannCWHockM. Facets of dynamic positive affect: differentiating joy, interest, and activation in the positive and negative affect schedule (PANAS). J Pers Soc Psychol (2003) 85:528β40.10.1037/0022-3514.85.3.52814498788 | β | β | β |
| ElliottRSahakianBJHerrodJJRobbinsTWPaykelES. Abnormal response to negative feedback in unipolar depression: evidence for a diagnosis specific impairment. J Neurol Neurosurg Psychiatry (1997) 63:74β82.10.1136/jnnp.63.1.749221971PMC2169625 | β | β | β |
| EvansVCIversonGLYathamLNLamRW. The relationship between neurocognitive and psychosocial functioning in major depressive disorder: a systematic review. J Clin Psychiatry (2014) 75:1359β70.10.4088/JCP.13r0893925551235 | β | β | β |
| FrodlTMollerHJMeisenzahlE. Neuroimaging genetics: new perspectives in research on major depression? Acta Psychiatr Scand (2008) 118:363β72.10.1111/j.1600-0447.2008.01225.x18644006 | β | β | β |
| Garcia-ToroMTalaveraJAGonzalezETejadaPBlancoCGonzalezA Audioverbal cognitive dysfunction in depression. Factors involved. Prog Neuropsychopharmacol Biol Psychiatry (2003) 27:37β42.10.1016/S0278-5846(02)00312-312551724 | β | β | β |
| GeeLAbbottJConwaySPEtheringtonCWebbAK. Validation of the SF-36 for the assessment of quality of life in adolescents and adults with cystic fibrosis. J Cyst Fibros (2002) 1:137β45.10.1016/S1569-1993(02)00079-615463820 | β | β | β |
| GodardJBaruchPGrondinSLafleurMF. Psychosocial and neurocognitive functioning in unipolar and bipolar depression: a 12-month prospective study. Psychiatry Res (2012) 196:145β53.10.1016/j.psychres.2011.09.01322370154 | β | β | β |
| Golden-KreutzDMBrowneMWFriersonGMAndersenBL. Assessing stress in cancer patients: a second-order factor analysis model for the Perceived Stress Scale. Assessment (2004) 11:216β23.10.1177/107319110426739815358877PMC2746492 | β | β | β |
| Gonzalez-OrtegaIRosaAAlberichSBarbeitoSVegaPEcheburuaE Validation and use of the functioning assessment short test in first psychotic episodes. J Nerv Ment Dis (2010) 198:836β40.10.1097/NMD.0b013e3181f97bf921048476 | β | β | β |
| GrantDABergEA 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) 38:404β11.10.1037/h005983118874598 | β | β | β |
| HammarASorensenLArdalGOedegaardKJKrokenRRonessA Enduring cognitive dysfunction in unipolar major depression: a test-retest study using the Stroop paradigm. Scand J Psychol (2010) 51:304β8.10.1111/j.1467-9450.2009.00765.x20042028 | β | β | β |
| HarrisonJ Measuring the mind: detecting cognitive deficits and measuring cognitive change in patients with depression. In: McintyreR, editor. Cognitive Impairment in Major Depressive Disorder. Cambridge: Cambridge University Press (2016). p. 229β41. | β | β | β |
| HasselbalchBJKnorrUKessingLV. Cognitive impairment in the remitted state of unipolar depressive disorder: a systematic review. J Affect Disord (2011) 134:20β31.10.1016/j.jad.2010.11.01121163534 | β | β | β |
| JaegerJBernsSUzelacSDavis-ConwayS Neurocognitive deficits and disability in major depressive disorder. Psychiatry Res (2006) 145:39β48.10.1016/j.psychres.2005.11.01117045658 | β | β | β |
| KiossesDNAlexopoulosGS IADL functions, cognitive deficits, and severity of depression β a preliminary study. Am J Geriatr Psychiatry (2005) 13:244β9.10.1097/00019442-200503000-0001015728756 | β | β | β |
| KnoxSAKingMT. Validation and calibration of the SF-36 health transition question against an external criterion of clinical change in health status. Qual Life Res (2009) 18:637β45.10.1007/s11136-009-9467-119330463 | β | β | β |
| LamRWSaragoussiDDanchenkoNRiveBLamyFXBrevigT Psychometric validation of perceived deficits questionnaire β depression (PDQβD) in patients with major depressive disorder (MDD). Value Health (2013):A33010.1016/j.jval.2013.08.046PMC621137430464471 | β | β | β |
| LeueALangeS. Reliability generalization: an examination of the positive affect and negative affect schedule. Assessment (2011) 18:487β501.10.1177/107319111037491720855909 | β | β | β |
| LinnMW Modifiers and Perceived Stress Scale. J Consult Clin Psychol (1986) 54:507β13.10.1037/0022-006X.54.4.5073745603 | β | β | β |
| LockeLMPrinzRJ. Measurement of parental discipline and nurturance. Clin Psychol Rev (2002) 22:895β929.10.1016/S0272-7358(02)00133-212214330 | β | β | β |
| LorenzettiVAllenNBFornitoAYucelM. Structural brain abnormalities in major depressive disorder: a selective review of recent MRI studies. J Affect Disord (2009) 117(1β2):1β17.10.1016/j.jad.2008.11.02119237202 | β | β | β |
| MaaloufFTBrentDClarkLTavitianLMchughRMSahakianBJ Neurocognitive impairment in adolescent major depressive disorder: state vs. trait illness markers. J Affect Disord (2011) 133:625β32.10.1016/j.jad.2011.04.04121620477PMC4119611 | β | β | β |
| MackingerHFPachingerMMLeibetsederMMFartacekRR. Autobiographical memories in women remitted from major depression. J Abnorm Psychol (2000) 109:331β4.10.1037/0021-843X.109.2.33110895571 | β | β | β |
| Martinez-AranAScottJColomFTorrentCTabares-SeisdedosRDabanC Treatment nonadherence and neurocognitive impairment in bipolar disorder. J Clin Psychiatry (2009) 70:1017β23.10.4088/JCP.08m0440819497247 | β | β | β |
| Martinez-HernandezLESegura-MendezNHAntonio-OcampoATorres-SalazarAMurillo-GomezE. [Validation of the SF-36 questionnaire in adults with asthma and allergic rhinitis in Mexican population]. Rev Med Inst Mex Seguro Soc (2010) 48:531β4.21205503 | β | β | β |
| MartinMLPatrickDLGandraSRBennettAVLeidyNKNissensonAR 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) 20:889β901.10.1007/s11136-010-9812-421161411 | β | β | β |
| McAfooseJBauneBT. Evidence for a cytokine model of cognitive function. Neurosci Biobehav Rev (2009) 33:355β66.10.1016/j.neubiorev.2008.10.00518996146 | β | β | β |
| McDermottLMEbmeierKP. A meta-analysis of depression severity and cognitive function. J Affect Disord (2009) 119:1β8.10.1016/j.jad.2009.04.02219428120 | β | β | β |
| McKinnonMCYucelKNazarovAMacqueenGM. A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. J Psychiatry Neurosci (2009) 34:41β54.19125212PMC2612082 | β | β | β |
| MelvinGAMolloyGN. Some psychometric properties of the positive and negative affect schedule among Australian youth. Psychol Rep (2000) 86:1209β12.10.2466/pr0.2000.86.3c.120910932581 | β | β | β |
| MillerAHMaleticVRaisonCL. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol Psychiatry (2009) 65:732β41.10.1016/j.biopsych.2008.11.02919150053PMC2680424 | β | β | β |
| MitchellAMCranePAKimY. Perceived stress in survivors of suicide: psychometric properties of the Perceived Stress Scale. Res Nurs Health (2008) 31:576β85.10.1002/nur.2028418449942 | β | β | β |
| MojtabaiROlfsonM. Cognitive deficits and the course of major depression in a cohort of middle-aged and older community-dwelling adults. J Am Geriatr Soc (2004) 52:1060β9.10.1111/j.1532-5415.2004.52302.x15209642 | β | β | β |
| MolloyGNPallantJFKantasA. A psychometric comparison of the positive and negative affect schedule across age and sex. Psychol Rep (2001) 88:861β2.10.2466/pr0.2001.88.3.86111508035 | β | β | β |
| MondalSSharmaVKDasSGoswamiUGandhiA. Neuro-cognitive functions in patients of major depression. Indian J Physiol Pharmacol (2007) 51:69β75.17877295 | β | β | β |
| MuellerSTPiperBJ The Psychology Experiment Building Language (PEBL) and PEBL Test Battery. J Neurosci Methods (2014) 222:250β9.10.1016/j.jneumeth.2013.10.02424269254PMC3897935 | β | β | β |
| MuellerSTPiperBJ. The psychology experiment building language (PEBL) and PEBL test battery. J Neurosci Methods (2014) 222:250β9.10.1016/j.jneumeth.2013.10.02424269254PMC3897935 | β | β | β |
| MurrayCJLLopezAD Global Health Statistics: A Compendium of Incidence, Prevalence and Mortality Estimates for over 200 Conditions. Cambridge: Harvard School of Public Health (1996). | β | β | β |
| NakanoYBabaHMaeshimaHKitajimaASakaiYBabaK Executive dysfunction in medicated, remitted state of major depression. J Affect Disord (2008) 111:46β51.10.1016/j.jad.2008.01.02718304646 | β | β | β |
| OstirGVSmithPMSmithDOttenbacherKJ. Reliability of the positive and negative affect schedule (PANAS) in medical rehabilitation. Clin Rehabil (2005) 19:767β9.10.1191/0269215505cr894oa16250196 | β | β | β |
| Paelecke-HabermannYPohlJLeplowB. Attention and executive functions in remitted major depression patients. J Affect Disord (2005) 89:125β35.10.1016/j.jad.2005.09.00616324752 | β | β | β |
| PizzagalliDA. Depression, stress, and anhedonia: toward a synthesis and integrated model. Annu Rev Clin Psychol (2014) 10:393β423.10.1146/annurev-clinpsy-050212-18560624471371PMC3972338 | β | β | β |
| PorterRJGallagherPThompsonJMYoungAH. Neurocognitive impairment in drug-free patients with major depressive disorder. Br J Psychiatry (2003) 182:214β20.10.1192/bjp.182.3.21412611784 | β | β | β |
| PurcellRMaruffPKyriosMPantelisC. Neuropsychological function in young patients with unipolar major depression. Psychol Med (1997) 27:1277β85.10.1017/S00332917970054489403899 | β | β | β |
| RadloffL The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas (1977) 1:385β401.10.1177/014662167700100306 | β | β | β |
| RandolphCTierneyMCMohrEChaseTN. The repeatable battery for the assessment of neuropsychological status (RBANS): preliminary clinical validity. J Clin Exp Neuropsychol (1998) 20:310β9.10.1076/jcen.20.3.310.8239845158 | β | β | β |
| RavnkildeBVidebechPClemmensenKEganderARasmussenNARosenbergR. Cognitive deficits in major depression. Scand J Psychol (2002) 43:239β51.10.1111/1467-9450.0029212184479 | β | β | β |
| RockPLRoiserJPRiedelWJBlackwellAD Cognitive impairment in depression: a systematic review and meta-analysis. Psychol Med (2014) 44(10):2029β40.10.1017/S003329171300253524168753 | β | β | β |
| SandersMRWoolleyML. The relationship between maternal self-efficacy and parenting practices: implications for parent training. Child Care Health Dev (2005) 31:65β73.10.1111/j.1365-2214.2005.00487.x15658967 | β | β | β |
| Sanson-FisherRWPerkinsJJ. Adaptation and validation of the SF-36 health survey for use in Australia. J Clin Epidemiol (1998) 51:961β7.10.1016/S0895-4356(98)00087-09817113 | β | β | β |
| SchubertKOStaceyDAirTBauneBT 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) 190:754β6.10.1016/j.jad.2015.11.02226610074 | β | β | β |
| ShalliceT. Specific impairments of planning. Philos Trans R Soc Lond B Biol Sci (1982) 298:199β209.10.1098/rstb.1982.00826125971 | β | β | β |
| SheehanDVLecrubierYSheehanKHAmorimPJanavsJWeillerE 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):22β33;quiz 34-57.9881538 | β | β | β |
| SheehanDVSheehanKHShytleRDJanavsJBannonYRogersJE Reliability and validity of the mini international neuropsychiatric interview for children and adolescents (MINI-KID). J Clin Psychiatry (2010) 71:313β26.10.4088/JCP.09m05305whi20331933 | β | β | β |
| ShelineYIWangPWGadoMHCsernanskyJGVannierMW. Hippocampal atrophy in recurrent major depression. Proc Natl Acad Sci U S A (1996) 93:3908β13.10.1073/pnas.93.9.39088632988PMC39458 | β | β | β |
| StaceyDCiobanuLGBauneBT. A systematic review on the association between inflammatory genes and cognitive decline in non-demented elderly individuals. Eur Neuropsychopharmacol (2015).10.1016/j.euroneuro.2015.12.01726718789 | β | β | β |
| StroopJR Studies of interference in serial verbal reactions. J Exp Psychol (1935) 18:643β62.10.1037/h0054651 | β | β | β |
| SullivanJEdgleyKDehouxE A survey of multiple sclerosis: part1: perceived cognitive problems and compensatory strategy use. Can J Psychiatry (1990) 4:99β105. | β | β | β |
| TulskyDSPriceLR. The joint WAIS-III and WMS-III factor structure: development and cross-validation of a six-factor model of cognitive functioning. Psychol Assess (2003) 15:149β62.10.1037/1040-3590.15.2.14912847775 | β | β | β |
| UstunTBAyuso-MateosJLChatterjiSMathersCMurrayCJ. Global burden of depressive disorders in the year 2000. Br J Psychiatry (2004) 184:386β92.10.1192/bjp.184.5.38615123501 | β | β | β |
| VythilingamMHeimCNewportJMillerAHAndersonEBronenR Childhood trauma associated with smaller hippocampal volume in women with major depression. Am J Psychiatry (2002) 159:2072β80.10.1176/appi.ajp.159.12.207212450959PMC3230324 | β | β | β |
| WagnerLSweetJButtZLaiJCellaD Measuring patient self-reported cognitive function: development of the functional assessement of cancer therapy-cognitive function instrument. J Support Oncol (2009) 7:W32β9. | β | β | β |
| WagnildGMYoungHM Resiliency Scale. Worden, MT: The Resilience Center (1987). | β | β | β |
| WareJEJrKellerSDHatoumHTKongSX. The SF-36 arthritis-specific health index (ASHI): I. Development and cross-validation of scoring algorithms. Med Care (1999) 37:MS40β50.10.1097/00005650-199905001-0000410335742 | β | β | β |
| WeightmanMJAirTMBauneBT. A review of the role of social cognition in major depressive disorder. Front Psychiatry (2014) 5:179.10.3389/fpsyt.2014.0017925566100PMC4263091 | β | β | β |
| WestheideJQuednowBBKuhnKUHoppeCCooper-MahkornDHawellekB Executive performance of depressed suicide attempters: the role of suicidal ideation. Eur Arch Psychiatry Clin Neurosci (2008) 258:414β21.10.1007/s00406-008-0811-118330667 | β | β | β |
| WHO. Depression [Online]. WHO (2016). Available from: http://www.who.int/mediacentre/factsheets/fs369/en/ | β | β | β |
| WHO. ICD-10 Classification of Mental and Behavioral Disorders with Glossary and Diagnostic Criteria for Research ICD-10: DCR-10. Edinburgh: Churchill Livingstone (1991). | β | β | β |
| WilliamsJB. A structured interview guide for the Hamilton Depression Rating Scale. Arch Gen Psychiatry (1988) 45:742β7.10.1001/archpsyc.1988.018003200580073395203 | β | β | β |
| WittchenHUJacobiFRehmJGustavssonASvenssonMJonssonB The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol (2011) 21:655β79.10.1016/j.euroneuro.2011.07.01821896369 | β | β | β |
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. | 2018 | 28373689 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Analysis of BoDV-1 status, EEG resting-state alpha activity and pro-inflammatory cytokines in adults with and without major depressive disorder. | Torner AJ et al. | β | 2024 | β |
| Use of transcranial magnetic stimulation (TMS) for studying cognitive control in depressed patients: A systematic review. | HernΓ‘ndez-Sauret A et al. | β | 2024 | β |
| Factors associated with objective and subjective cognitive impairment in Chinese patients with acute major depressive disorder. | Zhu N et al. | β | 2023 | β |
| If you feel you can't, you won't: the role of subjective and objective cognitive competence on psychosocial functioning in depression. | Vicent-Gil M et al. | β | 2023 | β |
| Spontaneous Changes in Attentional Capabilities and Reasoning After an Alcohol Rehabilitation Treatment: Evidence About the Role of Age and Alcohol Use. | Fiabane E et al. | β | 2023 | β |
| Corrigendum: Potential genetic overlap between insomnia and sleep symptoms in major depressive disorder: A polygenic risk score analysis. | Melhuish Beaupre LM et al. | β | 2022 | β |
| The pattern glare and visual memory are disrupted in patients with major depressive disorder. | Wang M et al. | β | 2022 | β |
| White Matter Alterations in Depressive Disorder. | He E et al. | β | 2022 | β |
| Difference Between Young and Old Adults' Performance on the Psychology Experiment Building Language (PEBL) Test Battery: What Is the Role of Familiarity With Technology in Cognitive Performance? | Scarpina F et al. | β | 2021 | β |
| Patient and Physician Perspectives of Depressive Symptoms and Expectations for Treatment Outcome: Results from a Web-Based Survey. | Ishigooka J et al. | β | 2021 | β |
| Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis. | Melhuish Beaupre LM et al. | β | 2021 | β |
| The Assessment of Cognitive Dysfunction in Major Depressive Disorder: A 16-Week Prospective Case-Control Study. | ΓΓΆkmΓΌΕ FP et al. | β | 2021 | β |
| The Effects of Ketamine on Cognition in Treatment-Resistant Depression: A Systematic Review and Priority Avenues for Future Research. | Gill H et al. | β | 2021 | β |
| The potential pro-cognitive effects with intravenous subanesthetic ketamine in adults with treatment-resistant major depressive or bipolar disorders and suicidality. | Zhou Y et al. | β | 2021 | β |
| Alterations of Cognition and Cerebral Ventricle Volume in Manic and Euthymic Pediatric Bipolar Disorder. | Kuang L et al. | β | 2020 | β |
| Amyloid Plaques and Symptoms of Depression Links to Medical Help-Seeking due to Subjective Cognitive Decline. | Espenes R et al. | β | 2020 | β |
| Depressive symptoms as predictors of visual memory deficits in middle-age. | Taivalantti M et al. | β | 2020 | β |
| Symptoms of Major Depressive Disorder and Their Impact on Psychosocial Functioning in the Different Phases of the Disease: Do the Perspectives of Patients and Healthcare Providers Differ? | Christensen MC et al. | β | 2020 | β |
| Conducting clinical studies targeting cognition in psychiatry: guiding principles and design. | Van Rheenen TE et al. | β | 2019 | β |
| Differences in Perceptions of Major Depressive Disorder Symptoms and Treatment Priorities Between Patients and Health Care Providers Across the Acute, Post-Acute, and Remission Phases of Depression. | Baune BT et al. | β | 2019 | β |
| Risk factors for further sick leave among Japanese workers returning to work after an episode of major depressive disorder: a prospective follow-up study over 1 year. | Hori H et al. | β | 2019 | β |
| Social cognitive abilities predict psychosocial dysfunction in major depressive disorder. | Knight MJ et al. | β | 2019 | β |
| The Direct and Indirect Relationship Between Social Cognition and Psychosocial Dysfunction in Major Depressive Disorder. | Knight MJ et al. | β | 2019 | β |
| Anti-inflammatory treatment of depression: study protocol for a randomised controlled trial of vortioxetine augmented with celecoxib or placebo. | Fourrier C et al. | β | 2018 | β |
| Cognitive and Functional Assessment of Psychosis Stratification Study (CoFAPSS): Rationale, Design, and Characteristics. | Clark SR et al. | β | 2018 | β |
| Cognitive dysfunction in major depressive disorder. | Knight MJ et al. | β | 2018 | β |
| Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. | Culverhouse RC et al. | β | 2018 | β |
| Does Childhood Trauma Moderate Polygenic Risk for Depression? A Meta-analysis of 5765 Subjects From the Psychiatric Genomics Consortium. | Peyrot WJ et al. | β | 2018 | β |
| Executive Function and Spatial Cognition Mediate Psychosocial Dysfunction in Major Depressive Disorder. | Knight MJ et al. | β | 2018 | β |
| Executive Subdomains Are Differentially Associated With Psychosocial Outcomes in Major Depressive Disorder. | Knight MJ et al. | β | 2018 | β |
| Genome-wide gene-environment interaction in depression: A systematic evaluation of candidate genes: The childhood trauma working-group of PGC-MDD. | Van der Auwera S et al. | β | 2018 | β |
| Low-frequency and rare variants may contribute to elucidate the genetics of major depressive disorder. | Yu C et al. | β | 2018 | β |
| Psychosocial and Neurocognitive Factors Associated With Hepatitis C - Implications for Future Health and Wellbeing. | Barreira DP et al. | β | 2018 | β |
| The effects of vortioxetine on cognitive performance in working patients with major depressive disorder: A short-term, randomized, double-blind, exploratory study. | Baune BT et al. | β | 2018 | β |
| The role of cognitive impairment in psychosocial functioning in remitted depression. | Knight MJ et al. | β | 2018 | β |
| Investigation of copy number variation in subjects with major depression based on whole-genome sequencing data. | Yu C et al. | β | 2017 | β |
| Psychosocial Dysfunction in Major Depressive Disorder-Rationale, Design, and Characteristics of the Cognitive and Emotional Recovery Training Program for Depression (CERT-D). | Knight MJ et al. | β | 2017 | β |
| Whole-genome single nucleotide variant distribution on genomic regions and its relationship to major depression. | Yu C et al. | β | 2017 | β |