Neuropsychological performance in melancholic, atypical and undifferentiated major depression during depressed and remitted states: a prospective longitudinal study

Lin, Kangguang; Xu, Gaixia; Lu, Weicong; Ouyang, Huiyi; Dang, Yanan; Lorenzo‐Seva, Urbano; Guo, Yixin; Bessonov, Daniel; Akiskal, Hagop S.; So, Kwok‐Fai; Lee, Tatia M.C.

doi:10.1016/j.jad.2014.06.032

Cited by 41 publications

(31 citation statements)

References 53 publications

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“…In the largest positive study ( n = 86), slower performance on Part A of the Trail Making Test (TMT) was associated with greater depressive symptomatology following 8 weeks of SSRI treatment in a sample of adults with severe depression (42). In contrast, six samples (total n = 283) showed no association between psychomotor speed and treatment response (39, 41, 43, 44). In a sample of 104 individuals with depression, Lin et al (44) found no association between psychomotor speed and improvement in HDRS scores following 6 weeks of treatment (44).…”

Section: Resultsmentioning

confidence: 78%

“…In contrast, six samples (total n = 283) showed no association between psychomotor speed and treatment response (39, 41, 43, 44). In a sample of 104 individuals with depression, Lin et al (44) found no association between psychomotor speed and improvement in HDRS scores following 6 weeks of treatment (44). …”

Section: Resultsmentioning

confidence: 78%

“…Crane et al (45) found that more commission errors on the Parametric Go/No-Go test predicted better treatment response to Escitalopram or Duloxetine (45). Four samples (total n = 228) showed no association between executive function/attention performance and overall treatment response (36, 38, 41, 43, 44). …”

Section: Resultsmentioning

confidence: 94%

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A Systematic Review of Cognitive Predictors of Treatment Outcome in Major Depression

2018

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Background: Research suggests that only 50% of patients with major depression respond to psychotherapy or pharmacological treatment, and relapse is common. Therefore, there is interest in elucidating factors that help predict clinical response. Cognitive impairment is a key feature of depression, which often persists beyond remission; thus, the aim of this systematic review was to determine whether baseline cognitive functioning can predict treatment outcomes in individuals with depression.Method: Studies examining cognitive predictors of treatment response in depression were identified using Pub Med and Web of Science databases. Given the heterogeneity of outcome measures, the variety of treatment protocols, and the differing ways in which data was presented and analyzed, a narrative rather than meta-analytic review technique was used.Results: 39 studies met inclusion criteria. Findings in younger adult samples were inconclusive. There was some evidence for a predictive effect of executive function and to a lesser extent, psychomotor speed, on treatment response. There was no evidence of learning or memory being associated with treatment response. In older-aged samples, the evidence was much more consistent, suggesting that poor executive function predicts poor response to SSRIs.Conclusions: Findings from the present review suggest that certain aspects of cognitive functioning, particularly executive function, may be useful in predicting treatment response in depression. This is certainly the case in elderly samples, with evidence suggesting that poor executive functioning predicts poor response to SSRIs. With further research, baseline cognitive functioning may serve as a factor which helps guide clinical decision making. Moreover, cognitive deficits may become targets for specific pharmacological or psychological treatments, with the hope of improving overall outcome.

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Section: Resultsmentioning

confidence: 78%

Section: Resultsmentioning

confidence: 78%

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A Systematic Review of Cognitive Predictors of Treatment Outcome in Major Depression

2018

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“…Nonetheless, MDD subjects seem to display a wide range of cognitive deficits -ranging from no impairment to extreme impairment -depending on the effect of different factors, such as age (Herrmann et al, 2007), gender (Richard-Devantoy et al, 2013), education level (Elgamal et al, 2007), recurrence of episodes (Gorwood et al, 2008), symptom severity (McClintock et al, 2010) and antidepressant treatment (Rosenblat et al, 2015). The study of cognitive performance in MDD is made even more complex by the fact that different depressive subtypes, such as psychotic, atypical and melancholic features, have shown specific effects on cognition (Exner et al, 2009;Fleming et al, 2004;Lin et al, 2014;Markela-Lerenc et al, 2006;Michopoulos et al, 2008;Pier et al, 2004;Quinn et al, 2012a;Quinn et al, 2012b;Roca et al, 2015;Rush et al, 1983;Withall et al, 2010;Zaninotto et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

A meta-analysis of cognitive performance in melancholic versus non-melancholic unipolar depression

Zaninotto

Solmi

Veronese

et al. 2016

Journal of Affective Disorders

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“…But, as far as we know, melancholic features have not been previously specifically assessed as a risk factor for dementia. Melancholia has been associated with persistent cognitive impairment after depression remission (Lin et al, 2014;Roca et al, 2015), but not with dementia. It is possible that the follow up time has been too short in both studies (6 weeks and 6 months, respectively) to detect an increased incidence of dementia.…”

Section: Discussionmentioning

confidence: 98%

Depression with melancholic features is associated with higher long-term risk for dementia

Couto

Lunet

Ginó

et al. 2016

Journal of Affective Disorders

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Neuropsychological performance in melancholic, atypical and undifferentiated major depression during depressed and remitted states: a prospective longitudinal study

Cited by 41 publications

References 53 publications

A Systematic Review of Cognitive Predictors of Treatment Outcome in Major Depression

A Systematic Review of Cognitive Predictors of Treatment Outcome in Major Depression

A meta-analysis of cognitive performance in melancholic versus non-melancholic unipolar depression

Depression with melancholic features is associated with higher long-term risk for dementia

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