Social anxiety disorder (SAD) is a highly prevalent and debilitating affliction that typically manifests during childhood and adolescence. While theoretical models of adult SAD emphasize the role of attentional biases, little is known about maintaining factors during childhood and adolescence. The objective of our eye-tracking study was to determine whether youth with SAD exhibit a hypervigilance-avoidance pattern of visual attention for faces. To this end, we used a free-viewing paradigm to present angry, happy, and neutral faces, and non-social object stimuli to three groups of adolescents aged 10-15 years: SAD (n = 57), specific phobia (SP; n = 41), and healthy controls (HC; n = 65). A screen-based eye tracker recorded gaze behavior and pupil dilation. Among participants, only older adolescents with SAD exhibited shorter latencies of first fixation to the eye region compared to HC. Contrary to our expectations, there were no differences in duration of first fixation to the eye region among the groups. Instead, compared to HC, older adolescents with SAD showed longer dwell times on the eye region during the first 1000 - 3000 ms of stimulus presentation. No significant differences among the groups were found regarding scanpath length or pupillary reactivity. Taken together, our findings suggest early hypervigilance followed by sustained attention to the eye region in older adolescents with SAD, which may indicate difficulties in disengaging attention. We discuss the theoretical and practical implications in detail.

For many high school students, test anxiety is a prevalent issue that adversely affects their exam performance. Previous research has explored the effectiveness of mindfulness training in alleviating test anxiety; however, the lack of real-life exam scenarios and lengthy training sessions has limited its application. This study examines the effects of a brief, five-day mindfulness training and immediate session on enhancing students' mindfulness levels and reducing their test anxiety.

The participants were recruited and divided into an experimental group (n = 29) and a control group (n = 32). The experimental group underwent a daily eight-minute mindfulness training for five consecutive days, while the control group engaged in a passive waiting period. To assess changes in mindfulness levels and exam performance, two exams were administered before and after the five-day mindfulness intervention, accompanied by the completion of the Five Facet Mindfulness Questionnaire. To evaluate changes in test anxiety levels, the State Anxiety Inventory was filled out on days 1, 3, and 5 of the training.

After five days of mindfulness training, the mindfulness group showed significant improvements in overall mindfulness levels (particularly in observing and describing skills), a significant reduction in test anxiety and notable improvements in exam performance. Furthermore, the effects on test anxiety were observed after just one training session.

The study demonstrates that a brief, five-day mindfulness training can significantly enhance mindfulness levels, reduce test anxiety, and improve exam performance in high school students. The positive effects on test anxiety were noticeable after a single session.

Revealing the pupillary correlates of depression-prone individuals is conducive to the early intervention and treatment of depression. This study recruited 31 depression-prone and 31 healthy individuals. They completed an emotional task-switching task combined with a go/no-go task, and task-evoked pupillary responses (TEPR) were recorded. Behavioral results showed no significant differences in behavioral performance in terms of cognitive flexibility and inhibition between the depression-prone group and the healthy control group. The pupillary results revealed that (1) the depression-prone group showed slightly lower TEPRs to positive stimuli than the healthy controls during cue presentation; (2) during target presentation, the depression-prone group did not show an effect of emotional valence on the pupillary response in the task-repeat trials; and (3) compared to the healthy controls, the depression-prone group showed significantly smaller TEPRs to negative no-go stimuli and had a longer latency of the second peak of pupil dilation in no-go trials. These results imply that depression-prone individuals may have slower neural responses in cognitive control tasks and emotion-specific weakened cognitive control than healthy individuals.

Attentional bias may influence the emotional experiences of breast cancer patients, both positively and negatively. This study aimed to investigate attentional bias in breast cancer patients and its impact on their emotions.

Thirty-eight breast cancer patients completed a modified dot-probe task and the Depression Anxiety and Stress Scale to assess attentional bias and emotional states. Attentional bias was measured by analyzing response times to different stimuli in the modified dot-probe task. Emotional stimuli included 80 pairs of facial images depicting sad-neutral, fearful-neutral, happy-neutral, and neutral-neutral expressions. Attentional bias components were observed at stimulus presentation durations of 300 ms and 1500 ms. Differences in emotional responses among breast cancer patients with varying attentional biases were compared.

Breast cancer patients exhibited attentional avoidance of sad and happy stimuli at 300 ms. Further analysis revealed that patients who exhibited attentional avoidance of sad stimuli at 300 ms reported higher levels of anxiety and stress. Those with attentional avoidance of fearful stimuli at 1500 ms reported increased anxiety, while individuals showing attentional avoidance of happy stimuli or difficulty disengaging from happy stimuli at 1500 ms reported higher levels of depression and stress.

Breast cancer patients demonstrated an attentional bias toward emotional stimuli, particularly avoidance of sad and happy stimuli in 300 ms. Different components of attentional bias were associated with distinct negative emotional outcomes.

The menopausal transition brings with it many physical, cognitive, and affective changes in a woman's life, impacting quality of life. Whereas prior work has examined impact on general mental health and cognitive function, research on basic affective processing during menopause remains scarce.

Using a median-split procedure, this pre-registered study examined the impact of stronger (N = 46 women) vs. milder (N = 47 women) menopausal symptoms using a behavioural task of subjective emotion perception (embody) and a passive eye tracking viewing task of emotional faces in addition to self-report questionnaires. After 3 months, participants completed the questionnaires again to examine whether objective measures of emotion perception (eye tracking) might predict mental health at follow-up.

As anticipated, women with stronger vs. milder menopausal symptoms reported increased symptoms of anxiety, depression, stress, emotion regulation difficulties, and lower quality of life during both time points. While no evidence was found in the behavioural task, eye tracking data indicated blunted emotion perception in women with high menopausal symptoms, while women with low symptoms spent more time looking at happy faces relative to fearful or surprised faces. Although eye tracking or hormonal data did not predict mental health at follow-up, a higher estradiol/FSH ratio indicated a higher quality of life.

This study documented an impact of the menopausal transition and strength of menopausal symptoms in particular on objective emotion perception as well as mental health and quality of life in women suffering from stronger vs. milder menopausal symptoms. Clinical implications are discussed.

Depression and anxiety are prevalent mental health issues worldwide, especially among parental caregivers. By expanding the family stress model, this cross-sectional study investigated the relevant factors associated with depressive symptoms, anxiety symptoms, and satisfaction with life among Malaysian parental caregivers of adolescent psychiatric patients. Data were collected through questionnaires (N = 207) across five major public hospitals through convenience sampling. Participants answered questionnaires measuring financial strain, caregiver burden, relationship quality, belief in mental illness, perceived COVID-19 stress, satisfaction with health services, depressive symptoms, anxiety symptoms and life satisfaction. Findings revealed that relationship quality among spouses, COVID-19 stress and caregiver burden were significantly correlated with anxiety symptoms, depressive symptoms and satisfaction with life. The multiple regression model also suggested that depressive symptoms (β = .613, p < .001), anxiety symptoms (β= .657, p < .001) and relationship quality among spouses (β = .264, p < .001) were the most influential predictors of anxiety symptoms, depressive symptoms and satisfaction with life respectively. By addressing the mental health needs of parental caregivers, this study can contribute to improving the overall quality of care and support provided to adolescent patients and their caregivers in Malaysia and beyond.

Both anxiety and working memory capacity appear to predict increased (more negative) error-related negativity (ERN) amplitudes, despite being inversely related to one another. Until the interactive effects of these variables on the ERN are clarified, there may be challenges posed to our ability to use the ERN as an endophenotype for anxiety, as some have suggested. The compensatory error monitoring hypothesis suggests that high trait-anxiety individuals have larger ERN amplitudes because they must employ extra, compensatory efforts to override the working memory demands of their anxiety. Yet, to our knowledge, no ERN study has employed direct manipulation of working memory demands in conjunction with direct manipulations of induced (state) anxiety. Furthermore, little is known about how these manipulations affect other measures of error processing, such as the error-related pupil dilation response and post-error behavioral adjustments. Therefore, we manipulate working memory load and anxiety in a 2 × 2 within-subjects design to examine the interactive effects of working memory load and anxiety on ERN amplitude, error-related pupil dilation response amplitude, and post-error behavior. There were no effects of our manipulations on ERN amplitude, suggesting a strong interpretation of compensatory error-processing theory. However, our worry manipulation affected post-error behavior, such that worry caused a reduction in post-error accuracy. Additionally, our working memory manipulation affected error-related PDR magnitude and the amplitude of the error-related positivity (Pe), such that increased working memory load decreased the amplitude of these responses. Implications of these results within the context of the compensatory error processing framework are discussed.

Adolescent major depressive disorder (MDD) is associated with disrupted processing of emotional stimuli and difficulties in cognitive reappraisal. Little is known however about how current pharmacotherapies act to modulate the neural mechanisms underlying these key processes. The current study therefore investigated the neural effects of fluoxetine on emotional reactivity and cognitive reappraisal in adolescent depression.

Thirty-one adolescents with MDD were randomised to acute fluoxetine (10 mg) or placebo. Seventeen healthy adolescents were also recruited but did not receive any treatment for ethical reasons. During functional magnetic resonance imaging (fMRI), participants viewed aversive images and were asked to either experience naturally the emotional state elicited ('Maintain') or to reinterpret the content of the pictures to reduce negative affect ('Reappraise'). Significant activations were identified using whole-brain analysis.

No significant group differences were seen when comparing Reappraise and Maintain conditions. However, when compared to healthy controls, depressed adolescents on placebo showed reduced visual activation to aversive pictures irrespective of the condition. The depressed adolescent group on fluoxetine showed the opposite pattern, i.e. increased visuo-cerebellar activity in response to aversive pictures, when compared to depressed adolescents on placebo.

These data suggest that depression in adolescence may be associated with reduced visual processing of aversive imagery and that fluoxetine may act to reduce avoidance of such cues. This could reflect a key mechanism whereby depressed adolescents engage with negative cues previously avoided. Future research combining fMRI with eye-tracking is nonetheless needed to further clarify these effects.

During the first year of life, infants become increasingly attuned to facial emotion, with heightened sensitivity to faces conveying threat observed by age seven months as illustrated through attentional biases (e.g., slower shifting away from fearful faces). Individual differences in these cognitive attentional biases have been discussed in relation to broader social-emotional functioning, and the current study examines these associations in infants with an older sibling with autism spectrum disorder (ASD), a group with an elevated likelihood of a subsequent ASD diagnosis (ELA; n = 33), and a group of infants with no family history of ASD who are at low likelihood of ASD (LLA; n = 24). All infants completed a task measuring disengagement of attention from faces at 12 months (fearful, happy, neutral), and caregivers completed the Infant-Toddler Social and Emotional Assessment at 12, 18, and/or 24 months. For the full sample, greater fear bias in attention disengagement at 12 months related to more internalizing behaviors at 18 months, and this was driven by the LLA infants. When examining groups separately, findings revealed that LLA with a greater fear bias had more difficult behaviors at 12, 18, and 24 months; in contrast, ELA showed the opposite pattern, and this was most pronounced for ELA who later received an ASD diagnosis. These preliminary group-level findings suggest that heightened sensitivity to fearful faces might serve an adaptive function in children who later receive an ASD diagnosis, but in infants with no family history of ASD, increased biases might reflect a marker of social-emotional difficulties.

Elaborative affective processing is observed in depression, and pupillary reactivity, a continuous, sensitive, and reliable indicator of physiological arousal and neurocognitive processing, is increasingly utilized in studies of depression-related characteristics. As a first attempt to quantitively summarize existing evidence on depression-related pupillary reactivity alterations, this review and meta-analysis evaluated the direction, magnitude, and specificity of pupillary indices of affective processing towards positively, negatively, and neutrally-valenced stimuli among individuals diagnosed with depression or with elevated risk of depression. Studies on pupillary responses to affective stimuli in the target groups were identified in PsycINFO and PubMed databases. Twenty-two articles met inclusion criteria for the qualitative review and 16 for the quantitative review. Three-level frequentist and Bayesian models were applied to summarize pooled effects from baseline-controlled stimuli-induced average changes in pupillary responses. In general, compared to non-depressed individuals, individuals with depression or elevated risk of depression exhibited higher pupillary reactivity (d =0.15) towards negatively-valenced stimuli during affective processing. Pupillary motility towards negatively-valenced stimuli may be a promising trait-like marker for depression vulnerability.

Generalized anxiety disorder (GAD) and major depressive disorder (MDD) often precede and predict one another. Heightened stress reactivity may be a mediation mechanism underlying the long-term connections between GAD and MDD. However, cross-sectional studies on this topic have hindered directional inferences.

The present study examined stress reactivity as a potential mediator of the sequential associations between GAD and MDD symptoms in a sample of 3,294 community-dwelling adults (M age = 45.6, range = 20-74). Participants completed three waves of measurement (T1, T2, and T3) spaced nine years apart. GAD and MDD symptom severity were assessed at T1, T2, and T3 (Composite International Diagnostic Interview-Short Form). Stress reactivity (Multidimensional Personality Questionnaire) was measured at T2.

Structural equation mediation modeling demonstrated that higher T1 GAD symptoms positively predicted more severe T3 MDD symptoms via T2 stress reactivity, controlling for T1 MDD (d = 0.45-0.50). However, T2 stress reactivity was not a significant mediator in the relationship between T1 MDD severity and T3 GAD symptoms after controlling for T1 GAD. Direct effects indicated that T1 GAD positively predicted T3 MDD 18 years later and vice versa (d = 1.29-1.65).

Stress reactivity was assessed using a self-report measure, limiting conclusions to perceived (vs. physiologically indexed) stress reactivity.

These findings indicate that stress reactivity may be one mechanism through which GAD leads to later MDD over prolonged durations. Overall, results suggest that targeting stress reactivity in treatments for GAD may reduce the risk of developing subsequent MDD.

Artificial Intelligence (AI) appears to be making important advances in the prediction and diagnosis of mental disorders. Researchers have used visual, acoustic, verbal, and physiological features to train models to predict or aid in the diagnosis, with some success. However, such systems are rarely applied in clinical practice, mainly because of the many challenges that currently exist. First, mental disorders such as depression are highly subjective, with complex symptoms, individual differences, and strong socio-cultural ties, meaning that their diagnosis requires comprehensive consideration. Second, there are many problems with the current samples, such as artificiality, poor ecological validity, small sample size, and mandatory category simplification. In addition, annotations may be too subjective to meet the requirements of professional clinicians. Moreover, multimodal information does not solve the current challenges, and within-group variations are greater than between-group characteristics, also posing significant challenges for recognition. In conclusion, current AI is still far from effectively recognizing mental disorders and cannot replace clinicians' diagnoses in the near future. The real challenge for AI-based mental disorder diagnosis is not a technical one, nor is it wholly about data, but rather our overall understanding of mental disorders in general.

COVID-19 is a stressor creating much anxiety for the general public, such as anxiety related to possible infection, social distancing, financial strain and uncertainty. As the scientific literature shows that there is an intimate relationship between anxiety and depression, it is important to ask whether anxiety is related to depression under the pandemic and whether spirituality indexed by life meaning can moderate the relationship between anxiety and depression. According to theories highlighting the importance of life meaning, relative to people with a higher level of life meaning, the relationship between anxiety and depression would be stronger in people with a lower level of life meaning.

Empirically, we collected data in two waves (i.e., before and after the first wave of COVID-19, respectively) from 4,981 adolescents recruited in Sichuan, China. Then, the 41-item "Screen for Child Anxiety Related Emotional Disorders" was employed to measure anxiety symptoms, 20-item "Center for Epidemiological Studies-Depression Scale" was utilized to examine depression symptoms, and the "Spirituality Subscale of the Chinese Positive Youth Development Scale" for assessing life meaning.

We found that anxiety significantly predicted depression at each wave and across time. Second, controlling for Wave 1 depression scores, results showed that a drop in Wave 1 anxiety predicted a drop in depressive symptoms over time. Regarding the relationship between meaning in life and depression, spirituality indexed by meaning in life negatively predicted depression at each wave and over time, and predicted change in depression across time. Finally, multiple regression analyses showed that life meaning moderated the predictive effect of anxiety on depression.

The findings support the thesis that spirituality serves as a protective factor for psychological morbidity in Chinese adolescents. The study also suggests the importance of helping adolescents to develop life meaning under COVID-19.

The Research Domain Criteria (RDoC) project's success rests on the assumption that constructs and data can be integrated across units of analysis and developmental stages. We adopted a psychoneurometric approach to establish biobehavioral liability models of sensitivity to social threat, a key component of potential threat that is particularly salient to the development of adolescent affective psychopathology. Models were derived from measures across four units of analysis in a community sample (n = 129) of 11- to 13-year-old girls oversampled for shy/fearful temperament. To test the ecological validity of derived factors, they were then related to real-world socioaffective processes in peer interactions over a 16-day ecological momentary assessment (EMA) protocol. Our results indicate that measures (i.e., amygdala reactivity to negative social feedback, eye-tracking bias toward social threat, parent- and adolescent-reports of social threat sensitivity) formed unit-specific factors, rather than one unified factor. These findings suggest that these factors were largely unrelated. Amygdala response to social punishment and attention bias toward threatening faces predicted real-world experiences with peers, suggesting that vigilance toward potentially threatening social information could be a mechanism through which vulnerable youth come to experience their peer interactions more negatively. We discuss measurement challenges confronting efforts to quantify developmentally sensitive RDoC constructs across units of analysis. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Attentional bias to threat has been implicated as a cognitive mechanism in anxiety disorders for youth. Yet, prior studies documenting this bias have largely relied on a method with questionable reliability (i.e. dot-probe task) and small samples, few of which included adolescents. The current study sought to address such limitations by examining relations between anxiety - both clinically diagnosed and dimensionally rated - and attentional bias to threat.

The study included a community sample of adolescents and employed eye-tracking methodology intended to capture possible biases across the full range of both automatic (i.e. vigilance bias) and controlled attentional processes (i.e. avoidance bias, maintenance bias). We examined both dimensional anxiety (across the full sample; n = 215) and categorical anxiety in a subset case-control analysis (n = 100) as predictors of biases.

Findings indicated that participants with an anxiety disorder oriented more slowly to angry faces than matched controls. Results did not suggest a greater likelihood of initial orienting to angry faces among our participants with anxiety disorders or those with higher dimensional ratings of anxiety. Greater anxiety severity was associated with greater dwell time to neutral faces.

This is the largest study to date examining eye-tracking metrics of attention to threat among healthy and anxious youth. Findings did not support the notion that anxiety is characterized by heightened vigilance or avoidance/maintenance of attention to threat. All effects detected were extremely small. Links between attention to threat and anxiety among adolescents may be subtle and highly dependent on experimental task dimensions.

If the eyes are windows into the soul, then the pupils represent at least the gateway to the brain and can provide a unique insight into the human mind from several aspects. The changes in the pupil size primarily mediated by different lighting conditions are controlled by the autonomic nervous system regulated predominantly at the subcortical level. Specifically, parasympathetically-linked pupillary constriction is under the Edinger-Westphal nucleus control and sympathetically-mediated pupillary dilation is regulated from the posterior hypothalamic nuclei. However, the changes in the pupil size can be observed at resting state even under constant lighting, these pupillary changes are mediated by global arousal level as well as by various cognitive factors. In this context, autonomic pathways modulating changes in the pupil size in response to the different light levels can be influenced by multiple central descending inputs driving pupillary changes under steady lighting conditions. Moreover, as the pupillary response is involved in emotional (task-evoked pupillary dilation as an index of emotional arousal) and cognitive (task-evoked pupillary dilation as an index of cognitive workload) stimulation, it can be used to detect the impact of mutual subcortical and cortical structures (i.e. overlapping brain structures included in autonomic, emotional and cognitive regulation) on the pupillary innervation system. Thus, complex understanding of the baseline pupil size´ and pupillary dynamics´ mechanisms may provide an important insight into the central nervous system functioning pointing to the pupillometry as a promising tool in the clinical application.

Altered amygdala activation in response to the emotional matching faces (EMF) task, a task thought to reflect implicit emotion detection and reactivity, has been found in some patients with internalizing disorders; mixed findings from the EMF suggest individual differences (within and/or across diagnoses) that may be important to consider. Attention Bias Modification (ABM), a mechanistic attention-targeting intervention, has demonstrated efficacy in treatment of internalizing disorders. Individual differences in neural activation to a relatively attention-independent task, such as the EMF, could reveal novel neural substrates relevant in ABM's transdiagnostic effects, such as the brain's generalized threat reactivity capacity.

In a sample of clinically anxious patients randomized to ABM (n = 43) or sham training (n = 18), we measured fMRI activation patterns during the EMF and related them to measures of transdiagnostic internalizing symptoms (i.e., anxious arousal, general distress, anhedonic depression, and general depressive symptoms).

Lower baseline right amygdala activation to negative (fearful/angry) faces, relative to shapes, predicted greater pre-to-post reduction in general depression symptoms in ABM-randomized patients. Greater increases in bilateral amygdalae activation from pre-to-post ABM were associated with greater reductions in general distress, anhedonic depression, and general depression symptoms.

ABM may lead to greater improvement in depressive symptoms in individuals exhibiting blunted baseline amygdalar responses to the EMF task, potentially by enhancing neural-level discrimination between negative and unambiguously neutral stimuli. Convergently, longitudinal increases in amygdala reactivity from pre-to-post-ABM may be associated with greater improvement in depression, possibly secondary to improved neural discrimination of threat and/or decreased neurophysiological threat avoidance in these specific patients.

Attentional bias to threat, the process of preferentially attending to potentially threatening environmental stimuli over neutral stimuli, is positively associated with behavioral inhibition (BI) and trait anxiety. However, the most used measure of attentional bias to threat, the dot-probe task, has been criticized for demonstrating poor reliability. The present study aimed to assess whether utilizing a sequential sampling model to describe performance could detect adequate test-retest reliability for the dot-probe task, demonstrate stronger cueing effects, and improve the association with neural signals of early attention. One hundred and twenty children aged 9-12 years completed the dot-probe task twice. During the second administration, event-related potentials (ERPs) were obtained as time-sensitive neural markers of attention. BI was not associated with traditional or diffusion model measures of performance. Traditional and diffusion model measures of performance were also not associated with N1, P2, or N2 ERP amplitude. There were main effects of Visit, in which RTs were faster and standard deviation of RT smaller during the second administration due to an increase in drift rate and a decrease in non-decision time. The traditional RT bias score (r = 0.06) and bias scores formed via diffusion model parameters (all r's < 0.40) all demonstrated poor reliability. Results confirm recommendations to move away from using the dot-probe task as the primary or sole index of attentional bias.

Objective: Youth diagnosed with ADHD are at heightened risk of depression. However, many do not develop depression. Individuals with specific cognitive biases are more likely to develop depression yet it remains untested whether these vulnerability-stress models apply to depression risk in youth with ADHD. Method: We examined whether interpretation and attention biases moderated the relation between stressful life events and depressive symptoms in a sample of adolescents (M_age = 14.42) with ADHD (n = 59) and without ADHD (n = 36). Results: Youth with ADHD experienced more stressful life events compared with those without ADHD. Interpretation biases moderated the association between stress and depressive symptoms in youth with and without ADHD. Attention biases moderated the association between stress and depressive symptoms in the non-ADHD youth only. Conclusion: These results enhance our understanding of vulnerability for depression in adolescence with ADHD and inform targeted prevention and treatment models during this critical developmental juncture.

Peer feedback becomes highly salient during adolescence, especially for girls. The way in which adolescents react to social feedback is associated with psychosocial adjustment and mental health. Consequently, researchers are increasingly interested in understanding the physiological and neural underpinnings of adolescent response to feedback by simulating the experience of rejection and acceptance using computer-based paradigms. However, these paradigms typically use nonfamiliar peers and the facade of internet chatrooms or games to present artificial peer feedback. The current study piloted the use of a novel and potentially more ecologically valid peer expressed emotion paradigm in which participants listen to prerecorded clips of ostensible personalized feedback made by their close friend. Physiological data measuring autonomic nervous system response were collected as an index of emotional reactivity/arousal and cognitive-affective processing. Results show promising preliminary evidence validating the task for future use. Participants (N = 18 girls, aged 11-17 years) reported feeling more positive following praise, relative to critical and neutral feedback, and reported feeling more upset following criticism, relative to praise and neutral feedback. Girls exhibited greater pupillary dilation, skin conductance levels (N = 17), and/or heart rate (N = 17) while listening to affectively charged, peer feedback compared with neutral yet personally relevant statements. Girls also exhibited variable physiological response when listening to praising versus critical feedback. Findings from this pilot study validate the use of this novel Peer Expressed Emotion task for the investigation of adolescents' emotional and physiological reactivity in response to real-world peer evaluation. However, it is important to recognize that this study provides only preliminary findings and that future research is needed to replicate the results in larger samples.

Maternal depression history represents a significant risk factor for developing psychopathology in children, altered emotional responding may represent a central risk pathway. However, additional research is needed on factors that affect the strength or direction of response alterations in relation to depression-risk in youth. In particular, facial orientation and gaze direction may alter personal relevance, with emotions directed towards an individual heightening motivational salience, compared to emotions directed away.

Mother-daughter dyads (N = 56) were recruited based on presence or absence of maternal depression history and absence of youth depression. In line with theoretical perspectives suggesting diminished sensitivity to emotional context in relation to depression risk, we examined three Event-Related Potential (ERP) components in relation to forward versus averted emotional faces in a sample of girls with and without a maternal history of depression: the N200, N400, and Late Positive Potential (LPP).

Results showed a significant maternal depression history by face-orientation effect. Low-risk girls exhibited more negative N200 and N400 amplitudes for straight (M = -3.72, SE = 0.83; M = -3.57, SE = 0.86) versus averted (M = -2.15, SE = 0.76; M = -1.68, SE = 0.81) faces, while girls of mothers with histories of depression showed undifferentiated N200 or N400 responses in relation to face orientation. For LPP amplitudes, low-risk girls exhibited significantly more positive LPP amplitudes than high-risk girls, but only for averted faces (M = 0.69, SE = 0.59 and M = -2.63, SE = 0.74, respectively).

Cross-sectional design and limited sample.

Results indicate that familial depression risk is associated with altered responsivity to face-orientation, these were interpreted as representing differential sensitivity to the personal-relevance of emotional stimuli.

On average, anxious patients show altered attention to threat-including early vigilance towards threat and later avoidance of threat-accompanied by altered functional connectivity across brain regions. However, substantial heterogeneity within clinical, neural, and attentional features of anxiety is overlooked in typical group-level comparisons. We used a well-validated method for data-driven parsing of neural connectivity to reveal connectivity-based subgroups among 60 adults with transdiagnostic anxiety. Subgroups were externally compared on attentional patterns derived from independent behavioral measures. Two subgroups emerged. Subgroup A (68% of patients) showed stronger executive network influences on sensory processing regions and a paradigmatic "vigilance-avoidance" pattern on external behavioral measures. Subgroup B was defined by a larger number of limbic influences on sensory regions and exhibited a more atypical and inconsistent attentional profile. Neural connectivity-based categorization revealed an atypical, limbic-driven pattern of connectivity in a subset of anxious patients that generalized to atypical patterns of selective attention.

Objective: Peer victimization has been shown to be a robust predictor of depressive and anxiety symptoms over time. Relatively little is known, however, regarding what protective factors may attenuate these associations and render youth more resilient to this interpersonal stressor. Therefore, the current study examined sadness and worry regulation as moderators of the prospective links from peer victimization to internalizing symptoms over a 1-year period.Method: Participants included 464 predominantly Caucasian children (54.7% boys; ages 7-10), as well as their homeroom teachers, from an elementary school located in the Midwestern United States. Child and teacher reports of peer victimization and child reports of sadness and worry regulation were assessed at Time 1. Children also provided ratings of depressive and anxiety symptoms at Time 1, approximately 6 months later (Time 2), and again approximately 1 year later (Time 3). Moderating effects were evaluated using a series of multivariate latent growth curve models.Results: Consistent with expectations, sadness regulation attenuated the prospective links from both child- and teacher-reported peer victimization to internalizing symptoms. Worry regulation also attenuated the prospective links from teacher-reported peer victimization to internalizing symptoms. The moderating effects of emotion regulation did not differ according to gender.Conclusions: Findings suggest that the ability to effectively manage feelings of sadness and worry may serve as a buffer against the internalizing symptoms associated with peer victimization. Additional research is needed to determine whether interventions focused on enhancing victims' emotion regulation skills reduce their subsequent risk for depressive and anxiety symptoms.

Chronic stress and depressive-like behaviors in basic neuroscience research have been associated with impairments of neuroplasticity, such as neuronal atrophy and synaptic loss in the medial prefrontal cortex (mPFC) and hippocampus. The current review presents a novel integrative model of neuroplasticity as a multi-domain neurobiological, cognitive, and psychological construct relevant in depression and other related disorders of negative affect (e.g., anxiety). We delineate a working conceptual model in which synaptic plasticity deficits described in animal models are integrated and conceptually linked with human patient findings from cognitive science and clinical psychology. We review relevant reports including neuroimaging findings (e.g., decreased functional connectivity in prefrontal-limbic circuits), cognitive deficits (e.g., executive function and memory impairments), affective information processing patterns (e.g., rigid, negative biases in attention, memory, interpretations, and self-associations), and patient-reported symptoms (perseverative, inflexible thought patterns; inflexible and maladaptive behaviors). Finally, we incorporate discussion of integrative research methods capable of building additional direct empirical support, including using rapid-acting treatments (e.g., ketamine) as a means to test this integrative model by attempting to simultaneously reverse these deficits across levels of analysis.

Attention biases for threat may reflect an early risk marker for anxiety disorders. Yet questions remain regarding the direction and time-course of anxiety-linked biased attention patterns in youth. A meta-analysis of eye-tracking studies of biased attention for threat was used to compare the presence of an initial vigilance toward threat and a subsequent avoidance in anxious and nonanxious youths.

PubMed, PsycARTICLES, Medline, PsychINFO, and Embase were searched using anxiety, children and adolescent, and eye-tracking-related key terms. Study inclusion criteria were as follows: studies including participants ≤18 years of age; reported anxiety using standardized measures; measured attention bias using eye tracking with a free-viewing task; comparison of attention toward threatening and neutral stimuli; and available data to allow effect size computation for at least one relevant measure. A random effects model estimated between- and within-group effects of first fixations toward threat and overall dwell time on threat.

Thirteen eligible studies involving 798 participants showed that neither youths with or without anxiety showed significant bias in first fixation to threat versus neutral stimuli. However anxious youths showed significantly less overall dwell time on threat versus neutral stimuli than nonanxious controls (g = -0.26).

Contrasting with adult eye-tracking data and child and adolescent data from reaction time indices of attention biases to threat, there was no vigilance bias toward threat in anxious youths. Instead, anxious youths were more avoidant of threat across the time course of stimulus viewing. Developmental differences in brain circuits contributing to attention deployment to emotional stimuli and their relationship with anxiety are discussed.

Evaluation of facial and vocal emotional cues is vital in social interactions but can be highly influenced by characteristics of the observer, such as sex, age, and symptoms of affective disorders. Our evaluations of others' emotional expressions are likely to change as we get to know them and anticipate how they are likely to behave. However, the role of associative learning in the evaluation of social cues remains poorly understood. In this study, we investigated whether emotional ratings (valence and arousal) and reward valuation ("liking" and "wanting" measures) of neutral facial expressions can be altered through associative learning. We also examined whether emotional ratings and reward valuation varied with symptoms of anxiety and depression, disorders known to impair socio-affective functioning. Participants (N = 324) were young adults, ranging in scores across dimensions of depression and anxiety symptoms: "general distress" (common to depression and anxiety), "anhedonia-apprehension" (more specific to depression), and "fears" (more specific to anxiety). They rated neutral faces and completed a probabilistic learning task that paired images of neutral faces with positive or negative social feedback. Results demonstrated that pairing neutral faces with positive social feedback increased ratings of arousal, valence, and reward valuation (both "liking" and "wanting"). Pairing neutral faces with negative feedback reduced valence ratings and reduced "wanting," but did not impact arousal ratings or "liking." Symptoms of general distress were associated with negative bias in valence ratings, symptoms of anhedonia-apprehension were associated with reduced "wanting," and symptoms of fears were associated with altered accuracy over trials. Notably, the association between general distress and negative bias was reduced following the associative learning task. This suggests that disrupted evaluation of social cues can be improved through brief training.

During adolescence, youth may experience heightened attention bias to socially relevant stimuli; however, it is unclear if attention bias toward social threat may be exacerbated for adolescents with a history of anxiety. This study evaluated attentional bias during the Chatroom-Interact task with 25 adolescents with a history of anxiety (18F, Mage = 13.6) and 22 healthy adolescents (13F, Mage = 13.8). In this task, participants received feedback from fictional, virtual peers who either chose them (acceptance) or rejected them (rejection). Overall, participants were faster to orient toward and spent longer time dwelling on their own picture after both rejection and acceptance compared to non-feedback cues. Social feedback was associated with greater pupillary reactivity, an index of cognitive and emotional neural processing, compared to non-feedback cues. During acceptance feedback (but not during rejection feedback), anxious youth displayed greater pupil response compared to healthy youth, suggesting that positive feedback from peers may differentially influence youth with a history of an anxiety disorder.

Although attention bias (AB) toward threat has been associated with Social Anxiety Disorder (SAD), concerns regarding the ability of current measures to detect change in AB following treatment exist. We sought to examine change in bias, as measured via eye-tracking, in adolescents with SAD receiving either attention-bias modification training (ABMT) or attention-control training (ACT). Gaze-based AB was associated (r = -0.361) with symptoms of social anxiety prior to treatment, whereas there was no association between bias as measured via dot probe and social anxiety. Moreover, gaze-based bias to same-age face stimuli showed change following treatment. Large effects are seen for condition (ABMT or ACT) and for time, independent of treatment condition, in gaze-based AB to same-age stimuli. Findings suggest that further research on gaze-based bias, to assess stability over time outside of treatment and sensitivity to change following intervention, is warranted.

Biased patterns of attention towards threat are implicated as key mechanisms in anxiety which can be modified through automated intervention (Attention Bias Modification; ABM). Intervention refinement and personalized dissemination efforts are substantially hindered by gaps in understanding the precise attentional components that underlie ABM's effects on symptoms-particularly with respect to longer-term outcomes. Seventy adults with transdiagnostic anxiety were randomized to receive 8 sessions of active ABM (n=49) or sham training (n=21). Reaction time and eyetracking data, collected at baseline, post-training, and 1-month follow-up, dissociated multiple core attentional processes, spanning overt and covert processes of engagement and disengagement. Self-reported symptoms were collected out to 1-year follow-up. Covert disengagement bias was specifically reduced by ABM, unlike all other indices. Overt disengagement bias at baseline predicted acute post-ABM outcomes, while covert engagement bias was non-specifically predictive of symptom trajectories out to 1-year follow-up. Results suggest unique and dissociable roles for each discrete mechanism.

Different domains of internalizing symptoms (somatic, anxiety, depressive) often occur concurrently, suggesting that they may share common etiology. In longitudinal analyses of internalizing among youth, anxiety is often found to precede depression. However, relatively few studies have also assessed how somatic problems, the third symptom domain, are involved in longitudinal patterns of internalizing. In addition, temporal relations among internalizing symptom domains may vary by cultural group as somatic symptoms are posited to be a more culturally-normative way of communicating or experiencing distress in non-Western, interdependent cultures. Thus, the present study examined longitudinal relations among these three internalizing symptom domains in three ethnocultural adolescent samples.

304 European American, 420 Vietnamese American, and 717 Vietnamese adolescents' self-reported internalizing symptoms (somatic, anxiety, depressive) were assessed at three time points, spaced three months apart, using multigroup cross-lagged path analysis.

Anxiety symptoms consistently predicted increases in depressive symptoms in European American adolescents. In contrast, for Vietnamese and Vietnamese American adolescents, the most consistent relation was with somatic complaints predicting increases in anxiety. Anxiety and depressive symptoms bidirectionally predicted each other among the Vietnamese and Vietnamese American adolescents.

Cultural group differences were evident in the temporal course of internalizing symptoms. The pattern of results have implications for culturally relevant intervention targets, during a developmental period of risk for internalizing disorders.

Behavioral Inhibition (BI) is a temperament type that predicts social withdrawal in childhood and anxiety disorders later in life. However, not all BI children develop anxiety. Attention bias (AB) may enhance the vulnerability for anxiety in BI children, and interfere with their development of effective emotion regulation. In order to fully probe attention patterns, we used traditional measures of reaction time (RT), stationary eye-tracking, and recently emerging mobile eye-tracking measures of attention in a sample of 5- to 7-year-olds characterized as BI (N = 23) or non-BI (N = 58) using parent reports. There were no BI-related differences in RT or stationary eye-tracking indices of AB in a dot-probe task. However, findings in a subsample from whom eye-tracking data were collected during a live social interaction indicated that BI children (N = 12) directed fewer gaze shifts to the stranger than non-BI children (N = 25). Moreover, the frequency of gazes toward the stranger was positively associated with stationary AB only in BI, but not in non-BI, children. Hence, BI was characterized by a consistent pattern of attention across stationary and ambulatory measures. We demonstrate the utility of mobile eye-tracking as an effective tool to extend the assessment of attention and regulation to social interactive contexts.

Although dysfunctions in attention have been implicated in the development and maintenance of depression in adults, findings from studies of depressed adolescents have been inconsistent. While some research has shown that youth with depressive symptoms exhibit increased attention to negative stimuli, other findings demonstrated attentional avoidance. Additionally, given the increase in parent-child conflict during adolescence, parent-child relationship quality may be an important moderating factor in the association between depressive symptoms and attention. To examine how depressive symptoms and parent-child relationship quality during adolescence influence attention, 25 mother-daughter pairs (girls ages 11-16) completed a conflict discussion task while wearing mobile eye-tracking glasses. Results suggest that girls with low positive parent-child relationship quality and greater depressive symptoms may have difficulty disengaging from their mother during negative interactions, which may exacerbate depressive symptoms. Therefore, the parent-child relationship should be further considered in treatments that target maladaptive attention patterns in youth with depressive symptoms.

Atypical attention to potential social threats, such as emotional faces, may be one of the core mechanisms underlying social anxiety disorder (SAD). Pupil dilation is an index of locus coreuleus-noradrenergic activity, and closely linked to attention. In the present study, pupil dilation was studied in adolescents with SAD (N = 26; 22 Female) before the onset of a 12-week cognitive behavioral treatment, and in healthy controls (N = 23). Stimuli were faces with angry or happy emotional expressions. Contrary to our hypothesis, the SAD group did not show hyper-responsiveness to angry compared to happy faces. Instead, an atypical time course of the pupil dilation response was found, resulting in an attenuated response during late time stages. Larger pupil dilation amplitude to happy faces before treatment was related to worse treatment response. These results contribute significantly to our understanding of the mechanisms underlying adolescent SAD.

Attention bias towards threat using dot-probe tasks has mainly been reported in adults with stress-related disorders such as PTSD and other anxiety disorders, in some cases associated with early life stress or traumatic experiences. Studies during adolescence are scarce and inconsistent, which highlights the need to increase our understanding of the developmental processes that predict attentional biases, given that this is a time of emergence of psychopathology. Here, we use a translational nonhuman primate model of early life stress in the form of infant maltreatment to examine its long-term impact on attentional biases during adolescence using the dot-probe task and identify interactions with early life risk factors, such as prenatal exposure to stress hormones and emotional/stress reactivity during infancy. Maltreated animals showed higher reaction times to social threat than animals that experienced competent maternal care, suggesting interference of negative valence stimuli on attentional control and cognitive processes. Higher emotional reactivity during infancy in Maltreated animals predicted attention bias towards threat, whereas higher levels of prenatal cortisol exposure was associated with bias away (avoidance of) threat in maltreated and control groups. Our findings suggest that different postnatal experiences and early biobehavioral mechanisms regulate the development of emotional attention biases during adolescence.

Attention biases toward negative stimuli are implicated in the development and maintenance of depression. However, research is needed to understand how depression affects attention biases as they unfold in a dynamic social environment, particularly during adolescence when depression rates significantly increase due to enhanced reactivity to social stress. To examine attention biases in a live, socially evaluative environment, 26 adolescent girls from the community gave a speech in front of a potentially critical judge and a positive judge while wearing mobile eye tracking glasses. Girls' depressive symptoms were measured using the Moods and Feelings Questionnaire. Across the sample, girls looked at the positive judge more frequently and for longer periods of time compared with the potentially critical judge. In contrast, higher depressive symptoms were associated with looking at the potentially critical judge for longer periods of time. When directly comparing attention to the potentially critical judge relative to the positive judge, dysphoric girls looked at the potentially critical judge more frequently and for longer periods of time compared with the positive judge. Findings suggest that adolescent depressive symptoms are related to sustained attention toward potentially critical evaluation at the exclusion of positive evaluation. This novel approach allowed for an in vivo examination of attention biases as they unfold during social evaluation, which begins to illuminate the interpersonal significance of attention biases. If replicated and extended longitudinally, this research could be used to identify adolescents at high risk for future depression and potentially be leveraged clinically in attention bias modification treatment.

Cross-sectional evidence suggests that attention bias to threat is linked to anxiety disorders and anxiety vulnerability in both children and adults. However, there is a lack of developmental evidence regarding the causal mechanisms through which attention bias to threat might convey risks for socioemotional problems, such as anxiety. Gaining insights into this question demands longitudinal research to track the complex interplay between threat-related attention and socioemotional functioning. Developing and implementing reliable and valid assessments tools is essential to this line of work. This review presents theoretical accounts and empirical evidence from behavioral, eye-tracking, and neural assessments of attention to discuss our current understanding of the development of normative threat-related attention in infancy, as well as maladaptive threat-related attention patterns that may be associated with the development of anxiety. This review highlights the importance of measuring threat-related attention using multiple attention paradigms at multiple levels of analysis. In order to understand if and how threat-related attention bias in real-life, social interactive contexts can predict socioemotional development outcomes, this review proposes that future research cannot solely rely on screen-based paradigms but needs to extend the assessment of threat-related attention to naturalistic settings. Mobile eye-tracking technology provides an effective tool for capturing threat-related attention processes in vivo as children navigate fear-eliciting environments and may help us uncover more proximal bio-psycho-behavioral markers of anxiety.

Although depressive disorders are among the most common disorders in youth, highly efficacious treatments for childhood affective disorders are lacking. There is significant need to better understand the factors that contribute to the development and maintenance of depression in youth so that treatments can be targeted at optimal mechanisms. The aim of the current paper was to synthesize research on cognitive and neurobiological factors associated with youth depression, guided by De Raedt and Koster's model (2010) for vulnerability to depression in adults. Consistent with model predictions, there is evidence that attentional impairments are greatest in the context of negative information, relative to positive or neutral information, and some evidence that attentional deficits are associated with rumination in depressed youth. However, we found little evidence for the model's assumption that attentional bias is an etiological and maintenance factor for depression. There are several other model predictions that require additional study as current data are lacking. Overall, De Raedt and Koster's (2010) integrative cognitive and biological framework has tremendous potential to move the field forward in understanding the development of depression in youth. Additional longitudinal studies incorporating measures across biological and cognitive levels of analysis are needed.

Screening protocols that rely on a single informant are inadequate in predicting pediatric depression. Multi-informant and risk factor screening approaches are potentially more sensitive methods for identifying depression risk, but the incremental validity of these protocols has not been adequately tested. Using a translational analytic approach and multimethod, longitudinal study design, we simultaneously tested several multi-indicator approaches to depression screening to identify an optimal algorithm for predicting depression onset in youth.

Participants were 222 never-depressed children and adolescents (M_age = 10.75 years old, SD_age = 1.85; female = 50.45%; 82.88% White), who completed baseline questionnaires for depressive symptoms and cognitive vulnerabilities, in addition to a morphed face task to assess pupil dilation. Mothers, meanwhile, completed baseline questionnaires and a semistructured interview to assess maternal and pediatric depression. Follow-up depression diagnostic assessments with both the mother and youth occurred every 6 months for 2 years. Receiver operating characteristics and reclassification analyses were used to test our aims.

Overall, we found moderate support for a multi-informant approach, and convincing evidence that individual differences in pupil dilation uniquely predicted depression onset. Youth with subthreshold depressive symptoms and elevated pupil dilation were over twice as likely to develop a first lifetime episode of depression compared to one's risk rate based on sex and age.

Our study provides one of the first screening batteries for detecting first lifetime episodes of depression in youth. The unique and incremental validity provided by pupil dilation suggests feasible biological indicators of depression risk can improve primary prevention efforts that target depression, such as universal pediatric depression screening. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Anxious youth are at increased risk for later depressive disorders, but not all anxious youth develop depression. Sequential comorbidity models emphasize shared risk factors and anxiety sequelae, but some anxious youth who later develop depression may have risk factors that are relatively specific to depression, in addition to a liability to anxiety. We examined several variables that appear relatively specific to risk for depression-the personality traits of low positive affectivity and high sadness, and an electrophysiological measure of blunted response to reward - in predicting first-onset depressive disorders and depressive symptoms in clinically anxious adolescent girls.

A sample of 114 adolescents with baseline anxiety disorders completed personality and psychopathology measures, psychophysiology tasks, and diagnostic interviews. Interviews and a measure of depressive symptoms were re-administered over 27 months.

After controlling for baseline depressive symptoms, blunted reward sensitivity uniquely predicted first-onset depressive disorders and depressive symptoms 27 months later. Post-hoc analyses indicated that blunted reward sensitivity only predicted first-onset depressive disorders and depressive symptoms in girls with high social anxiety symptoms.

Analyses were unable to account for concurrent anxiety symptoms and disorders.

The depression-specific risk factor, blunted reward sensitivity, may comprise one pathway to subsequent depressive disorders and symptoms in anxious youth and indicate which anxious youth need intervention to prevent later depression, particularly in socially anxious girls.

Adolescents with social anxiety disorder (SAD) often present distorted beliefs related to expected social rejection, coupled with avoidance of social stimuli including interpersonal interactions and others' gaze. Social communication (SC) deficits, often seen in SAD, may play a role in avoidance of social stimuli. The present study evaluated whether SC impairment uniquely contributes to diminished or heightened attention to social stimuli. Gaze patterns to social stimuli were examined in a sample of 41 adolescents with SAD (12-16 years of age; 68% female). Unexpectedly, no significant relationship was observed between SC impairment and fixation duration to angry or neutral faces. However, SC impairment did predict greater fixation duration to happy faces, after controlling for social anxiety severity [adjusted R ²  = 0.201, F(2, 38) = 4.536, p = 0.018]. Clinical implications are discussed, focusing on the potential utility of targeting SC impairments directly in light of the role of SC difficulties in youth with SAD.

Anxiety and depression are commonly comorbid with each other, with anxiety often temporally preceding the development of depression. Although increasingly research has begun to investigate the role of sleep problems in depression, no study has examined insomnia as a mediator in the longitudinal relationship between anxiety and subsequent depression.

The current study utilizes data from Waves I, II, and IV of the National Longitudinal Study of Adolescent to Adult Health, a nationally representative prospective study conducted over a 14-year period (n = 20,745, 50.5% female, M age at Wave I = 16.20). Participants completed portions of the Center for Epidemiologic Studies Depression Scale at Waves I and IV to assess depressive symptoms, a six-item anxiety measure at Wave I, and three items assessing insomnia, sleep quality, and sleep duration at Wave II.

Structural equation modeling indicated that insomnia and unrestful sleep significantly mediated the relationship between anxiety and subsequent depression. The relationship between anxiety and depression was not significantly mediated by sleep duration.

Findings suggest that anxiety may increase risk for the development of later depression through insomnia.

There is robust evidence of an association between insomnia, anxiety, and depression in adolescence. The aim of this review is to describe and synthesize potential mechanisms underlying this association and explore implications for the design of adolescent behavioral sleep interventions. Specifically, we examine whether insomnia symptoms are a mechanism for the development of internalizing symptoms in adolescence and whether sleep interventions are an effective treatment for both insomnia and internalizing symptoms in adolescence because they target the shared mechanisms underlying these disorders. Research using different methodologies points to the role of sequential, parallel, and interacting mechanisms. In this paper, we review a wide range of relevant biological (i.e., polymorphisms and dysregulation in serotonin, dopamine, and circadian clock genes; alterations in corticolimbic and mesolimbic brain circuits; cortisol reactivity to stress; inflammatory cytokine dysregulation; biased memory consolidation; changes in sleep architecture), psychological (i.e., cognitive inflexibility, interpretational biases, judgment biases, negative attribution styles, worry, rumination, biased attention to threat, dysfunctional beliefs and attitudes about sleep, misperception of sleep deficit), and social mechanisms (i.e., reduced and impaired social interactions, unhelpful parenting behaviors, family stress) and propose an integrative multilevel model of how these phenomena may interact to increase vulnerability to both insomnia and internalizing disorders. Several 'biopsychosocial' mechanisms hold promise as viable treatment targets for adolescent behavioral sleep interventions, which may reduce both insomnia and internalizing symptoms.

Prior research on attention bias in anxious youth, often utilising a visual dot probe task, has yielded inconsistent findings, which may be due to how bias is assessed and/or variability in the phenomenon. The present study utilises eye gaze tracking to assess attention bias in socially anxious adolescents, and explores several methodological and within-subject factors that may contribute to variability in attention bias. Attention bias to threat was measured in forty-two treatment-seeking adolescents (age 12-16 years) diagnosed with Social Anxiety Disorder. Bias scores toward emotional stimuli (vigilant attention) and bias scores away from emotional stimuli (avoidant attention) were explored. Bias scores changed between vigilance and avoidance within individuals and over the course of stimulus presentation. These differences were not associated with participant characteristics nor with self-reported social anxiety symptoms. However, clinician rated severity of social anxiety, explained a significant proportion of variance in the bias scores for adult, but not the adolescent, stimuli. Variability in attention bias among socially anxious adolescents is common and varies as a function of stimulus duration and type. Results may inform stimulus selection for future research.

Depression ranges among the most impairing mental disorders worldwide, and early detection is a global health priority. Little is known about the association between non-affective mental disorders in childhood/adolescence and later depression.

Nationwide register-based prospective cohort study, estimating cumulative incidences and incidence rate ratios (IRR) for later depression in individuals with and without non-affective mental disorders in early life.

475,213 females and 484,813 males born 1990-2007 were followed for a mean of 9.14 years (contributing a total of 8778,331 person-years of observation). In the cohort, 7963 (5451 females) were diagnosed with depression. Depression was more common in individuals with prior non-affective mental disorders in adolescence (15.98% in females and 7.02% in males) and in childhood (4.98% in females and 1.6% in males), than in the background population (3.94% and 1.3% in females; 1.37% and 0.47% in males). Eating and anxiety disorders in childhood/adolescence carried the highest absolute risk of depression. The relative risk of depression was particularly high the first year after the first non-affective disorder (IRR = 15.5; 14.07-17.10), but remained highly elevated more than five years after the first non-affective diagnosis (IRR = 2.05; 1.84-2.28), when compared to young people without such disorders.

This study only included diagnoses given at hospital departments, representing the more severe mental disorders.

Children and adolescents with non-affective mental disorders were at substantially increased absolute and relative risk of developing depression in young adulthood, especially females diagnosed with anxiety- or eating disorders in adolescence. These findings may help identify groups of children and adolescents at very high risk of developing depression.

The past decade of research has seen considerable interest in computer-based approaches designed to directly target cognitive mechanisms of anxiety, such as attention bias modification (ABM).

By pooling patient-level datasets from randomized controlled trials of ABM that utilized a dot-probe training procedure, we assessed the impact of training "dose" on relevant outcomes among a pooled sample of 693 socially anxious adults.

A paradoxical effect of the number of training trials administered was observed for both posttraining social anxiety symptoms and behavioral attentional bias (AB) toward threat (the target mechanism of ABM). Studies administering a large (>1,280) number of training trials showed no benefit of ABM over control conditions, while those administering fewer training trials showed significant benefit for ABM in reducing social anxiety (P = .02). These moderating effects of dose were not better explained by other examined variables and previously identified moderators, including patient age, training setting (laboratory vs. home), or type of anxiety assessment (clinician vs. self-report).

Findings inform the optimal dosing for future dot-probe style ABM applications in both research and clinical settings, and suggest several novel avenues for further research.

Anxiety and depression are often comorbid conditions, but there is uncertainty as to how this comorbidity develops. Thus, in three studies, we attempted to discern whether anhedonia may be a key linking factor between anxiety and depression.

Three studies asked participants about their symptoms of anxiety and depression: in Study 1, 109 participants completed measures of anxiety, depression, activity avoidance, and perceived enjoyability and importance of avoided activities; in Study 2, 747 participants completed measures of anhedonia, anxiety, depression, and defensiveness; in Study 3, 216 participants completed measures assessing the same constructs as in Study 2 at four time-points (ranging 11 months in span).

In Study 1, symptoms of anxiety and depression were positively related only in individuals who relinquished potential enjoyment due to their anxiety-related avoidance; in Study 2, the indirect effect of anhedonia helped explained how anxiety symptoms imparted risk onto depressive symptoms; and in Study 3, anxiety led to anhedonia and then depression over time and anhedonia led to anxiety and then depression at both 5 and 11 months.

The manuscript is limited by the use of a student sample in study 2, cross-sectional methods in studies 1 and 2, and reliance on self-ratings.

Anxiety may devolve into depression through anhedonia, such that anxious individuals begin to lose pleasure in anxiety-provoking activities, which results in the development of other depressive symptoms.