Neural Substrates of Emotion Processing and Cognitive Control Over Emotion In Youth Anxiety: An RDoc-Informed Study Across the Clinical to Non-Clinical Continuum of Severity.

OBJECTIVE: Clinically anxious youth are hypervigilant to emotional stimuli and display difficulty shifting attention from emotional to non-emotional stimuli, suggesting impairments in cognitive control over emotion. However, it is unknown whether the neural substrates of such biases vary across the clinical-to-nonclinical range of anxiety or by age. METHOD: Youth aged 7-17 years with clinical anxiety (N = 119) or without an anxiety diagnosis (N = 41) matched emotional faces or matched shapes flanked by emotional face distractors during magnetic resonance imaging, probing emotion processing and cognitive control over emotion, respectively. Building from the National Institute of Mental Health's Research Domain Criteria framework, clinically anxious youth were sampled across diagnostic categories, and non-clinically affected youth were sampled across minimal-to-subclinical severity. RESULTS: Across both conditions, anxiety severity associated with hyperactivation in the right inferior parietal lobe, a substrate of hypervigilance. Brain-anxiety associations were also differentiated by attentional state; anxiety severity associated with greater left ventrolateral prefrontal cortex activation during emotion processing (face-matching) and greater activation in the left posterior superior temporal sulcus and temporoparietal junction (and slower responses) during cognitive control over emotion (shape-matching). Age also moderated associations between anxiety and cognitive control over emotion, such that anxiety associated with greater right thalamus and bilateral posterior cingulate cortex activation for children at younger and mean ages, but not for older youth. CONCLUSION: Aberrant function in brain regions implicated in stimulus-driven attention to emotional distractors may contribute to youth anxiety. Results support the potential utility of attention modulation interventions for anxiety that are tailored to developmental stage.

Consortium Profile: The Methylation, Imaging and NeuroDevelopment (MIND) Consortium.

Epigenetic processes, such as DNA methylation, show potential as biological markers and mechanisms underlying gene-environment interplay in the prediction of mental health and other brain-based phenotypes. However, little is known about how peripheral epigenetic patterns relate to individual differences in the brain itself. An increasingly popular approach to address this is by combining epigenetic and neuroimaging data; yet, research in this area is almost entirely comprised of cross-sectional studies in adults. To bridge this gap, we established the Methylation, Imaging and NeuroDevelopment (MIND) Consortium, which aims to bring a developmental focus to the emerging field of Neuroimaging Epigenetics by (i) promoting collaborative, adequately powered developmental research via multi-cohort analyses; (ii) increasing scientific rigor through the establishment of shared pipelines and open science practices; and (iii) advancing our understanding of DNA methylation-brain dynamics at different developmental periods (from birth to emerging adulthood), by leveraging data from prospective, longitudinal pediatric studies. MIND currently integrates 15 cohorts worldwide, comprising (repeated) measures of DNA methylation in peripheral tissues (blood, buccal cells, and saliva) and neuroimaging by magnetic resonance imaging across up to five time points over a period of up to 21 years (Npooled DNAm = 11,299; Npooled neuroimaging = 10,133; Npooled combined = 4,914). By triangulating associations across multiple developmental time points and study types, we hope to generate new insights into the dynamic relationships between peripheral DNA methylation and the brain, and how these ultimately relate to neurodevelopmental and psychiatric phenotypes.

Obsessive-Compulsive Symptoms: Baseline Prevalence, Comorbidity, and Implications in a Clinically Anxious Pediatric Sample.

Subclinical symptoms of obsessive-compulsive disorder (i.e., obsessive compulsive symptoms, or "OCS") cause functional impairment, including for youth without full-syndrome OCD. Further, despite high rates of OCS in youth with anxiety disorders, knowledge of OCS in the context of specific anxiety disorders is limited. The present study seeks to: (1) compare OCS in pediatric patients with anxiety disorders and healthy youth, (2) determine which categorical anxiety disorder(s) associate most with OCS, and (3) determine relationships between OCS with anxiety severity and impairment. Data on OCS, anxiety, and functional impairment were collected from 153 youth with anxiety disorders and 45 healthy controls, ages 7-17 years (M = 11.84, SD = 3.17). Findings indicated that patients had significantly more OCS than healthy controls. Among patients, GAD was a significant predictor of OCS as well as OCD risk. These results suggest that OCS should be a primary diagnostic and treatment consideration for youth who present in clinical settings with GAD.

Relationship between COVID-related stressors and internalizing symptoms: Gendered neuroendocrine risk profiles.

The COVID-19 pandemic generated significant life stress and increases in internalizing disorders. Moreover, COVID-related stressors disproportionately impacted women, consistent with outcomes showing a gender gap in stress-related disorders. Gender-related stress vulnerability emerges in adolescence alongside gender-specific changes in neuroendocrine signaling. Most research on the neuroendocrinology of stress-related disorders has focused on differences in the hypothalamic-pituitary-adrenal (HPA) axis effector hormone cortisol. More recent studies, however, emphasize dehydroepiandrosterone (DHEA), a neuroprotective and neuroactive hormone released concurrently with cortisol that balances its biobehavioral actions during stress. Notably, women show lower cortisol responses and higher DHEA responses to stress. However, lower cortisol and higher DHEA are associated with internalizing disorders in women, while those associations are opposite in men. Thus, gender-specific factors perhaps result in a neuroendocrine profile that places women at greater risk for stress-related disorders. The current study prospectively examined socially evaluated cold-pressor task (SECPT) induced neuroendocrine responses at age 15 and internalizing symptoms during the COVID-19 pandemic at age 21 in a cohort of 175 primarily Black low-socioeconomic status participants, while controlling for internalizing symptoms at age 15. The association between COVID-related stress and internalizing symptoms was not stronger in women. Lower DHEA-cortisol ratios were associated with a weaker relationship between COVID-related stress and internalizing symptoms in women, while higher ratios were associated with a weaker relationship in men. These findings suggest gender differences in the relationship between DHEA and cortisol and internalizing outcomes during a stressful period, and support differential neuroendocrine protective and risk pathways for young men and women.

Parent Mental Health Before and During the COVID-19 Pandemic.

Although extant cross-sectional data suggest that parents have experienced numerous challenges (e.g., homeschooling, caregiver burden) and mental health consequences during the COVID-19 pandemic, longitudinal data are needed to confirm mental health changes relative to pre-pandemic levels and identify which specific pandemic-related changes most highly predict mental health during the pandemic. In two longitudinal subsamples (N = 299 and N = 175), we assessed change in anxiety, depression, and stress before and during the pandemic and whether the accumulation of pandemic-related changes predicted observed mental health changes. On average, parents reported increased depression and anxiety, but no significant changes in reported stress. Moreover, increased interpersonal conflict, difficulty managing work and caregiving responsibilities, and increased economic challenges were the types of pandemic-related changes that most strongly predicted worse mental health, highlighting that juggling caregiving responsibilities and economic concerns, along with the pandemic's impact on interpersonal family relationships are key predictors of worsening parental mental illness symptoms.

Atlantic cod individual spatial behaviour and stable isotope associations in a no-take marine reserve.

Foraging is a behavioural process and, therefore, individual behaviour and diet are theorized to covary. However, few comparisons of individual behaviour type and diet exist in the wild. We tested whether behaviour type and diet covary in a protected population of Atlantic cod, Gadus morhua. Working in a no-take marine reserve, we could collect data on natural behavioural variation and diet choice with minimal anthropogenic disturbance. We inferred behaviour using acoustic telemetry and diet from stable isotope compositions (expressed as δ13 C and δ15 N values). We further investigated whether behaviour and diet could have survival costs. We found cod with shorter diel vertical migration distances fed at higher trophic levels. Cod δ13 C and δ15 N values scaled positively with body size. Neither behaviour nor diet predicted survival, indicating phenotypic diversity is maintained without survival costs for cod in a protected ecosystem. The links between diet and diel vertical migration highlight that future work is needed to understand whether the shifts in this behaviour during environmental change (e.g. fishing or climate), could lead to trophic cascades.

Rhythm of relationships in a social fish over the course of a full year in the wild.

BACKGROUND: Animals are expected to adjust their social behaviour to cope with challenges in their environment. Therefore, for fish populations in temperate regions with seasonal and daily environmental oscillations, characteristic rhythms of social relationships should be pronounced. To date, most research concerning fish social networks and biorhythms has occurred in artificial laboratory environments or over confined temporal scales of days to weeks. Little is known about the social networks of wild, freely roaming fish, including how seasonal and diurnal rhythms modulate social networks over the course of a full year. The advent of high-resolution acoustic telemetry enables us to quantify detailed social interactions in the wild over time-scales sufficient to examine seasonal rhythms at whole-ecosystems scales. Our objective was to explore the rhythms of social interactions in a social fish population at various time-scales over one full year in the wild by examining high-resolution snapshots of a dynamic social network. METHODS: To that end, we tracked the behaviour of 36 adult common carp, Cyprinus carpio, in a 25 ha lake and constructed temporal social networks among individuals across various time-scales, where social interactions were defined by proximity. We compared the network structure to a temporally shuffled null model to examine the importance of social attraction, and checked for persistent characteristic groups over time. RESULTS: The clustering within the carp social network tended to be more pronounced during daytime than nighttime throughout the year. Social attraction, particularly during daytime, was a key driver for interactions. Shoaling behavior substantially increased during daytime in the wintertime, whereas in summer carp interacted less frequently, but the interaction duration increased. Therefore, smaller, characteristic groups were more common in the summer months and during nighttime, where the social memory of carp lasted up to two weeks. CONCLUSIONS: We conclude that social relationships of carp change diurnally and seasonally. These patterns were likely driven by predator avoidance, seasonal shifts in lake temperature, visibility, forage availability and the presence of anoxic zones. The techniques we employed can be applied generally to high-resolution biotelemetry data to reveal social structures across other fish species at ecologically realistic scales.

Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study.

Unstable and unpredictable environments are linked to risk for psychopathology, but the underlying neural mechanisms that explain how instability relate to subsequent mental health concerns remain unclear. In particular, few studies have focused on the association between instability and white matter structures despite white matter playing a crucial role for neural development. In a longitudinal sample recruited from a population-based study (N = 237), household instability (residential moves, changes in household composition, caregiver transitions in the first 5 years) was examined in association with adolescent structural network organization (network integration, segregation, and robustness of white matter connectomes; Mage = 15.87) and young adulthood anxiety and depression (six years later). Results indicate that greater instability related to greater global network efficiency, and this association remained after accounting for other types of adversity (e.g., harsh parenting, neglect, food insecurity). Moreover, instability predicted increased depressive symptoms via increased network efficiency even after controlling for previous levels of symptoms. Exploratory analyses showed that structural connectivity involving the left fronto-lateral and temporal regions were most strongly related to instability. Findings suggest that structural network efficiency relating to household instability may be a neural mechanism of risk for later depression and highlight the ways in which instability modulates neural development.

Antisocial behavior is associated with reduced frontoparietal network efficiency in youth.

Youth antisocial behavior (AB) is associated with deficits in socioemotional processing, reward and threat processing and executive functioning. These deficits are thought to emerge from differences in neural structure, functioning and connectivity, particularly within the default, salience and frontoparietal networks. However, the relationship between AB and the organization of these networks remains unclear. To address this gap, the current study applied unweighted, undirected graph analyses to resting-state functional magnetic resonance imaging data in a cohort of 161 adolescents (95 female) enriched for exposure to poverty, a risk factor for AB. As prior work indicates that callous-unemotional (CU) traits may moderate the neurocognitive profile of youth AB, we examined CU traits as a moderator. Using multi-informant latent factors, AB was found to be associated with less efficient frontoparietal network topology, a network associated with executive functioning. However, this effect was limited to youth at low or mean levels of CU traits, indicating that these neural differences were specific to those high on AB but not CU traits. Neither AB, CU traits nor their interaction was significantly related to default or salience network topologies. Results suggest that AB, specifically, may be linked with shifts in the architecture of the frontoparietal network.

ATfiltR: A solution for managing and filtering detections from passive acoustic telemetry data.

Acoustic telemetry is a popular and cost-efficient method for tracking the movements of animals in the aquatic ecosystem. But data acquired via acoustic telemetry often contains spurious detections that must be identified and excluded by researchers to ensure valid results. Such data management is difficult as the amount of data collected often surpasses the capabilities of simple spreadsheet applications. ATfiltR is an open-source package programmed in R that allows users to integrate all telemetry data collected into a single file, to conditionally attribute animal data and location data to detections and to filter spurious detections based on customizable rules. Such tool will likely be useful to new researchers in acoustic telemetry and enhance results reproducibility.•ATfiltR compiles telemetry files and identifies and stores all data that was collected outside of your study period (e.g. when your receivers were on land for servicing) elsewhere.•As spurious detections are unlikely to appear sequentially in the data, ATfiltR finds all detections that occurred only once (per receiver or in the whole array) within a user-designated time period and stores them elsewhere.•ATfiltR identifies detections that are impossible given the animals' swimming speeds and the receivers detection range and stores them elsewhere.

Disorder-specific cingulo-opercular network hyperconnectivity in pediatric OCD relative to pediatric anxiety.

BACKGROUND: Prior investigation of adult patients with obsessive compulsive disorder (OCD) has found greater functional connectivity within orbitofrontal-striatal-thalamic (OST) circuitry, as well as altered connectivity within and between large-scale brain networks such as the cingulo-opercular network (CON) and default mode network (DMN), relative to controls. However, as adult OCD patients often have high rates of co-morbid anxiety and long durations of illness, little is known about the functional connectivity of these networks in relation to OCD specifically, or in young patients near illness onset. METHODS: In this study, unmedicated female patients with OCD (ages 8-21 years, n = 23) were compared to age-matched female patients with anxiety disorders (n = 26), and healthy female youth (n = 44). Resting-state functional connectivity was used to determine the strength of functional connectivity within and between OST, CON, and DMN. RESULTS: Functional connectivity within the CON was significantly greater in the OCD group as compared to the anxiety and healthy control groups. Additionally, the OCD group displayed greater functional connectivity between OST and CON compared to the other two groups, which did not differ significantly from each other. CONCLUSIONS: Our findings indicate that previously noted network connectivity differences in pediatric patients with OCD were likely not attributable to co-morbid anxiety disorders. Moreover, these results suggest that specific patterns of hyperconnectivity within CON and between CON and OST circuitry may characterize OCD relative to non-OCD anxiety disorders in youth. This study improves understanding of network dysfunction underlying pediatric OCD as compared to pediatric anxiety.

Ecosystem-based management outperforms species-focused stocking for enhancing fish populations.

Ecosystem-based management is costly. Therefore, without rigorously showing that it can outperform traditional species-focused alternatives, its broad-scale adoption in conservation is unlikely. We present a large-scale replicated and controlled set of whole-lake experiments in fish conservation (20 lakes monitored over 6 years with more than 150,000 fish sampled) to examine the outcomes of ecosystem-based habitat enhancement (coarse woody habitat addition and shallow littoral zone creation) versus a widespread, species-focused alternative that has long dominated fisheries management practice (i.e., fish stocking). Adding coarse woody habitats alone did not, on average, enhance fish abundance, but creating shallow water habitat consistently did, especially for juvenile fish. Species-focused fish stocking completely failed. We provide strong evidence questioning the performance of species-focused conservation actions in aquatic ecosystems and instead recommend ecosystem-based management of key habitats.

School connectedness as a protective factor against childhood exposure to violence and social deprivation: A longitudinal study of adaptive and maladaptive outcomes.

School connectedness, a construct indexing supportive school relationships, has been posited to promote resilience to environmental adversity. Consistent with prominent calls in the field, we examined the protective nature of school connectedness against two dimensions of early adversity that index multiple levels of environmental exposure (violence exposure, social deprivation) when predicting both positive and negative outcomes in longitudinal data from 3,246 youth in the Fragile Families and Child Wellbeing Study (48% female, 49% African American). Child and adolescent school connectedness were promotive, even when accounting for the detrimental effects of early adversity. Additionally, childhood school connectedness had a protective but reactive association with social deprivation, but not violence exposure, when predicting externalizing symptoms and positive function. Specifically, school connectedness was protective against the negative effects of social deprivation, but the effect diminished as social deprivation became more extreme. These results suggest that social relationships at school may compensate for low levels of social support in the home and neighborhood. Our results highlight the important role that the school environment can play for youth who have been exposed to adversity in other areas of their lives and suggest specific groups that may especially benefit from interventions that boost school connectedness.

Antisocial behavior is associated with reduced frontoparietal activity to loss in a population-based sample of adolescents.

BACKGROUND: Adolescent antisocial behavior (AB) is a public health concern due to the high financial and social costs of AB on victims and perpetrators. Neural systems involved in reward and loss processing are thought to contribute to AB. However, investigations into these processes are limited: few have considered anticipatory and consummatory components of reward, response to loss, nor whether associations with AB may vary by level of callous-unemotional (CU) traits. METHODS: A population-based community sample of 128 predominantly low-income youth (mean age = 15.9 years; 42% male) completed a monetary incentive delay task during fMRI. A multi-informant, multi-method latent variable approach was used to test associations between AB and neural response to reward and loss anticipation and outcome and whether CU traits moderated these associations. RESULTS: AB was not associated with neural response to reward but was associated with reduced frontoparietal activity during loss outcomes. This association was moderated by CU traits such that individuals with higher levels of AB and CU traits had the largest reductions in frontoparietal activity. Co-occurring AB and CU traits were also associated with increased precuneus response during loss anticipation. CONCLUSIONS: Findings indicate that AB is associated with reduced activity in brain regions involved in cognitive control, attention, and behavior modification during negative outcomes. Moreover, these reductions are most pronounced in youth with co-occurring CU traits. These findings have implications for understanding why adolescents involved in AB continue these behaviors despite severe negative consequences (e.g. incarceration).

Adolescent functional network connectivity prospectively predicts adult anxiety symptoms related to perceived COVID-19 economic adversity.

BACKGROUND: Stressful events, such as the COVID-19 pandemic, are major contributors to anxiety and depression, but only a subset of individuals develop psychopathology. In a population-based sample (N = 174) with a high representation of marginalized individuals, this study examined adolescent functional network connectivity as a marker of susceptibility to anxiety and depression in the context of adverse experiences. METHODS: Data-driven network-based subgroups were identified using an unsupervised community detection algorithm within functional neural connectivity. Neuroimaging data collected during emotion processing (age 15) were extracted from a priori regions of interest linked to anxiety and depression. Symptoms were self-reported at ages 15, 17, and 21 (during COVID-19). During COVID-19, participants reported on pandemic-related economic adversity. Differences across subgroup networks were first examined, then subgroup membership and subgroup-adversity interaction were tested to predict change in symptoms over time. RESULTS: Two subgroups were identified: Subgroup A, characterized by relatively greater neural network variation (i.e., heterogeneity) and density with more connections involving the amygdala, subgenual cingulate, and ventral striatum; and the more homogenous Subgroup B, with more connections involving the insula and dorsal anterior cingulate. Accounting for initial symptoms, subgroup A individuals had greater increases in symptoms across time (ß = .138, p = .042), and this result remained after adjusting for additional covariates (ß = .194, p = .023). Furthermore, there was a subgroup-adversity interaction: compared with Subgroup B, Subgroup A reported greater anxiety during the pandemic in response to reported economic adversity (ß = .307, p = .006), and this remained after accounting for initial symptoms and many covariates (ß = .237, p = .021). CONCLUSIONS: A subgrouping algorithm identified young adults who were susceptible to adversity using their personalized functional network profiles derived from a priori brain regions. These results highlight potential prospective neural signatures involving heterogeneous emotion networks that predict individuals at the greatest risk for anxiety when experiencing adverse events.

Deadly gun violence, neighborhood collective efficacy, and adolescent neurobehavioral outcomes.

Gun violence is a major public health problem and costs the United States $280 billion annually (1). Although adolescents are disproportionately impacted (e.g. premature death), we know little about how close adolescents live to deadly gun violence incidents and whether such proximity impacts their socioemotional development (2, 3). Moreover, gun violence is likely to shape youth developmental outcomes through biological processes-including functional connectivity within regions of the brain that support emotion processing, salience detection, and physiological stress responses-though little work has examined this hypothesis. Lastly, it is unclear if strong neighborhood social ties can buffer youth from the neurobehavioral effects of gun violence. Within a nationwide birth cohort of 3,444 youth (56% Black, 24% Hispanic) born in large US cities, every additional deadly gun violence incident that occurred within 500 meters of home in the prior year was associated with an increase in behavioral problems by 9.6%, even after accounting for area-level crime and socioeconomic resources. Incidents that occurred closer to a child's home exerted larger effects, and stronger neighborhood social ties offset these associations. In a neuroimaging subsample (N = 164) of the larger cohort, living near more incidents of gun violence and reporting weaker neighborhood social ties were associated with weaker amygdala-prefrontal functional connectivity during socioemotional processing, a pattern previously linked to less effective emotion regulation. Results provide spatially sensitive evidence for gun violence effects on adolescent behavior, a potential mechanism through which risk is biologically embedded, and ways in which positive community factors offset ecological risk.

Amygdala reactivity during socioemotional processing and cortisol reactivity to a psychosocial stressor.

Threat-related amygdala reactivity and the activation of the Hypothalamic-Pituitary-Adrenal (HPA) axis have been linked to negative psychiatric outcomes. The amygdala and HPA axis have bidirectional connections, suggesting that functional variation in one system may influence the other. However, research on the functional associations between these systems has demonstrated mixed findings, potentially due to small sample sizes and cortisol sampling and data analytic procedures that investigate only pre-post differences in cortisol rather than the specific phases of the cortisol stress response. Further, previous research has primarily utilized samples of adults of mostly European descent, limiting generalizability to those of other ethnoracial identities and ages. Therefore, studies addressing these limitations are needed in order to investigate the functional relations between amygdala reactivity to threat and HPA axis stress responsivity. Using a sample of 159 adolescents from a diverse cohort (75% African American, ages 15-17 years), the present study evaluated associations between amygdala reactivity during socioemotional processing using fMRI and HPA axis reactivity to a socially-evaluative cold pressor task. Greater amygdala activation to fearful and neutral faces was associated with greater cortisol peak values and steeper activation slope. As cortisol peak values and cortisol activation slope capture the intensity of the cortisol stress response, these data suggest that greater activation of the amygdala in response to social distress and ambiguity among adolescents may be related to hyper-reactivity of the HPA axis.

Big-data approaches lead to an increased understanding of the ecology of animal movement.

Understanding animal movement is essential to elucidate how animals interact, survive, and thrive in a changing world. Recent technological advances in data collection and management have transformed our understanding of animal "movement ecology" (the integrated study of organismal movement), creating a big-data discipline that benefits from rapid, cost-effective generation of large amounts of data on movements of animals in the wild. These high-throughput wildlife tracking systems now allow more thorough investigation of variation among individuals and species across space and time, the nature of biological interactions, and behavioral responses to the environment. Movement ecology is rapidly expanding scientific frontiers through large interdisciplinary and collaborative frameworks, providing improved opportunities for conservation and insights into the movements of wild animals, and their causes and consequences.

Mapping frontostriatal white matter tracts and their association with reward-related ventral striatum activation in adolescence.

The ventral striatum (VS) is implicated in reward processing and motivation. Human and non-human primate studies demonstrate that the VS and prefrontal cortex (PFC), which comprise the frontostriatal circuit, interact to influence motivated behavior. However, there is a lack of research that precisely maps and quantifies VS-PFC white matter tracts. Moreover, no studies have linked frontostriatal white matter to VS activation. Using a multimodal neuroimaging approach with diffusion MRI (dMRI) and functional MRI (fMRI), the present study had two objectives: 1) to chart white matter tracts between the VS and specific PFC structures and 2) assess the association between the degree of VS-PFC white matter tract connectivity and VS activation in 187 adolescents. White matter connectivity was assessed with probabilistic tractography and functional activation was examined with two fMRI tasks (one task with social reward and another task using monetary reward). We found widespread but variable white matter connectivity between the VS and areas of the PFC, with the anterior insula and subgenual cingulate cortex demonstrating the greatest degree of connectivity with the VS. VS-PFC structural connectivity was related to functional activation in the VS though activation depended on the specific PFC region and reward task.