Dataset Information

Affective Processing Biases in Relation to Past, Current, and Future Depression in Children and Adolescents.

ABSTRACT:

Background

The affective go/no-go (AGN) task has been used to assess affective biases in attention set-shifting and deficits in inhibitory control of emotional information among depressed youth, but results have been inconsistent. We aimed to test AGN robustness and clarify temporal relationships between depressive symptoms and affective processing in youth.

Methods

We evaluated AGN performance twice (Time 1 N = 306; Time 2 N = 238) in relation to current, previous, and future depression in the same children/adolescents with depression and those without diagnoses who participated in the Longitudinal Assessment of Manic Symptoms (LAMS) study. Mixed repeated ANCOVAs were powered to detect small-medium group by valence interactions in response latency and errors. Supplemental regression analyses examined depressive symptoms as a continuous variable in relation to AGN performance.

Results

No clear pattern emerged, mirroring the broader AGN literature. In primary analyses, group by valence interactions were only observed at one AGN administration; none replicated across administrations. Similarly, in regression analyses depressive symptoms had no relation to affective processing biases/deficits at AGN Time 1, though some relationships were detected between symptoms and AGN Time 2.

Limitations

Relatively few youth met criteria for a depressive disorder, though analyses were appropriately powered and supplemental analyses examined depressive symptoms continuously. Comparison groups were not healthy controls at recruitment but were free from any Axis I disorder at AGN administration.

Conclusions

Given the inconsistency of AGN findings, attention should be focused on tasks that provide more sensitive, robust measures of emotional information processing in depressed youth.

SUBMITTER: Salem T

PROVIDER: S-EPMC9261905 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Corneal diseases are a leading cause of blindness with an estimated 10 million patients diagnosed with bilateral corneal blindness worldwide. Corneal transplantation is highly successful in low-risk patients with corneal blindness but often fails those with high-risk indications such as recurrent or chronic inflammatory disorders, history of glaucoma and herpetic infections, and those with neovascularisation of the host bed. Moreover, the need for donor corneas greatly exceeds the supply, especially in disadvantaged countries. Therefore, artificial and bio-mimetic corneas have been investigated for patients with indications that result in keratoplasty failure. Two long-lasting keratoprostheses with different indications, the Boston type-1 keratoprostheses and osteo-odonto-keratoprostheses have been adapted to minimise complications that have arisen over time. However, both utilise either autologous tissue or an allograft cornea to increase biointegration. To step away from the need for donor material, synthetic keratoprostheses with soft skirts have been introduced to increase biointegration between the device and native tissue. The AlphaCor™, a synthetic polymer (PHEMA) hydrogel, addressed certain complications of the previous versions of keratoprostheses but resulted in stromal melting and optic deposition. Efforts are being made towards creating synthetic keratoprostheses that emulate native corneas by the inclusion of biomolecules that support enhanced biointegration of the implant while reducing stromal melting and optic deposition. The field continues to shift towards more advanced bioengineering approaches to form replacement corneas. Certain biomolecules such as collagen are being investigated to create corneal substitutes, which can be used as the basis for bio-inks in 3D corneal bioprinting. Alternatively, decellularised corneas from mammalian sources have shown potential in replicating both the corneal composition and fibril architecture. This review will discuss the limitations of keratoplasty, milestones in the history of artificial corneal development, advancements in current artificial corneas, and future possibilities in this field.

Project description:The subjective measures used to study mood disorders in humans cannot be replicated in animals; however, the increasing application of objective neuropsychological methods provides opportunities to develop translational animal tasks. Here we describe a novel behavioral approach, which has enabled us to investigate similar affective biases in rodents. In our affective bias test (ABT), rats encounter two independent positive experiences--the association between food reward and specific digging substrate--during discrimination learning sessions. These are performed on separate days under either neutral conditions or during a pharmacological or affective state manipulation. Affective bias is then quantified using a preference test where both previously rewarded substrates are presented together and the rat's choices recorded. The absolute value of the experience is kept consistent and all other factors are counterbalanced so that any bias at recall can be attributed to treatment. Replicating previous findings from studies in healthy volunteers, we observe significant positive affective biases following acute treatment with typical (fluoxetine, citalopram, reboxetine, venlafaxine, clomipramine) and atypical antidepressants (agomelatine, mirtazapine), and significant negative affective biases following treatment with drugs associated with inducing negative affective states in humans (FG7142, rimonabant, 13-cis retinoic acid). We also observed that acute psychosocial stress and environmental enrichment induce significant negative and positive affective biases, respectively, and provide evidence that these affective biases involve memory consolidation. The positive and negative affective biases induced in our test also mirror the antidepressant and pro-depressant effects of these drugs in patients suggesting our test has both translational and predictive validity. Our results suggest that cognitive affective biases could contribute to drug- or stress-induced mood changes in people and support the hypothesis that a cognitive neuropsychological mechanism contributes to antidepressant drug efficacy.