Does heterogeneity of depression diagnosis harm those with severe mood disorders?

Snyder, Rebekah; Liebman, Lauren S.; Simon, Asher B.; Kellner, Charles H.

doi:10.1016/j.mehy.2013.04.011

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…Also, as noted, the observational and cross-sectional design prohibits statements of directionality or mechanism; however, the planned three-year follow-up of this cohort may improve understanding of directionality. Important differences exist between a clinical diagnosis of depression and self-reported depressive symptoms; 1,29 this study examined the latter. Importantly, however, previous research showed that cognition was more related to patient-reported depression symptoms than diagnoses of depression.…”

Section: Bdi-fsmentioning

confidence: 99%

Depression and cognitive function in early multiple sclerosis: Multitasking is more sensitive than traditional assessments

et al. 2020

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Background: Persons with multiple sclerosis (MS) and depression symptoms report real-world cognitive difficulties that may be missed by laboratory cognitive tests. Objective: To examine the relationship of depressive symptoms to cognitive monotasking versus multitasking in early MS. Method: Persons with early MS ( n = 185; ⩽5 years diagnosed) reported mood, completed monotasking and multitasking cognitive tests, and received high-resolution 3.0 T magnetic resonance imaging (MRI). Partial correlations analyzed associations between mood and cognition, controlling for age, sex, estimated premorbid IQ, T2 lesion volume, and normalized gray matter volume. Results: Depression symptoms were more related to worse cognitive multitasking (−0.353, p < 0.001) than monotasking ( r = −0.189, p = 0.011). There was a significant albeit weaker link to cognitive efficiency composite score ( r = −0.281, p < 0.001), but not composite memory ( r = −0.036, p > 0.50). Findings were replicated with a second depression measure. Multitasking was worse in patients with at least mild depression than both patients with no/minimal depression and healthy controls. Multitasking was not related to mood in healthy controls. Conclusions: Depression symptoms are linked to cognitive multitasking in early MS; standard monotasking cognitive assessments appear less sensitive to depression-related cognition. Further investigation should determine directionality and mechanisms of this relationship, with the goal of enhancing treatment for cognitive dysfunction and depression in MS.

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Section: Bdi-fsmentioning

confidence: 99%

Depression and cognitive function in early multiple sclerosis: Multitasking is more sensitive than traditional assessments

et al. 2020

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“…Multidomain cognitive training combined with aerobic exercise, mindfulness meditation, lifestyle changes, or physical stimulation may be a more effective channel to improve the effectiveness of the intervention and increase the transfer effect. Depression is characterized by disordered affect and difficulties in emotion regulation, and patients with depression can also show impaired cognitive control [93]. Therefore, cognitive control training is widely used for as an intervention for depression [94].…”

Section: Intervention Effects Of Cognitive Control Across Differentmentioning

confidence: 99%

From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention

Xuan

2020

Neural Plasticity

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Although the intervention effectiveness of cognitive control is disputed, some methods, such as single-task training, integrated training, meditation, aerobic exercise, and transcranial stimulation, have been reported to improve cognitive control. This review of recent advances from evaluation to prediction of cognitive control interventions suggests that brain modularity may be an important candidate marker for informing clinical decisions regarding suitable interventions. The intervention effect of cognitive control has been evaluated by behavioral performance, transfer effect, brain structure and function, and brain networks. Brain modularity can predict the benefits of cognitive control interventions based on individual differences and is independent of intervention method, group, age, initial cognitive ability, and education level. The prediction of cognitive control intervention based on brain modularity should extend to task states, combine function and structure networks, and assign different weights to subnetwork modularity.

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“…Those with mild emotional disorder or regularly low spirits are likely to be diagnosed as major depressive disorder, while those who are seriously ill are able to receive a mild diagnosis. 5 On the other hand, the depression criteria have long been accused of inaccurate for unable to reflect the underlying biology of depression. The disease which we call “major depressive disorder” may actually be a mixture of multiple disorders with individual underlying biological causes that need different treatments.…”

Section: Introductionmentioning

confidence: 99%

Biological Diagnosis of Depression: A Biomarker Panel from Several Nonspecial Indicators Instead of the Specific Biomarker(s)

Jiang

2022

NDT

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It is a consensus that the diagnosis efficiency of depression is rather low in clinic. The traditional way of diagnosing depression by symptomatology is flawed. Recent years, a growing body of evidence has underlined the importance of physiological indicators in the diagnosis of depression. However, the diagnosis of depression is difficult to be like some common clinical diseases, which have clear physiological indicators. A single physiological index provides limited information to clinicians and is of little help in the diagnosis of depression. Thus, it is more rational and practical to diagnose depression with a biomarker panel, which covers a few non-specific indicators, such as hormones, cytokines, and neurotrophins. This open review suggested that biomarker panel had a bright future in creating a new model of depression diagnosis or at least providing a reference to the existing depression criteria. The viewpoint is also the future of other psychiatric diagnosis.

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Does heterogeneity of depression diagnosis harm those with severe mood disorders?

Cited by 4 publications

References 4 publications

Depression and cognitive function in early multiple sclerosis: Multitasking is more sensitive than traditional assessments

Depression and cognitive function in early multiple sclerosis: Multitasking is more sensitive than traditional assessments

From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention

Biological Diagnosis of Depression: A Biomarker Panel from Several Nonspecial Indicators Instead of the Specific Biomarker(s)

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