Cognitive inflexibility and heightened error monitoring are related to lower sexual functioning.

Sexual functioning is an important predictor of well-being and relationship satisfaction. Previous research indicates that several aspects of cognitive function are related to sex-related behaviors and functioning among individuals with sex-related disorders, neurological disorders, and in older adults; however, this has been relatively underexamined in younger populations. To examine this, the present study assessed whether behavioral and/or neurophysiological measures of cognitive function are associated with sexual functioning in a community sample of young 489 adults (64 % female) ages 18-30. Cognitive flexibility (n = 460) and inhibition (n = 466) were measured using neuropsychological assessment (D-KEFS), and conflict monitoring and error monitoring were measured by event-related potentials (conflict N2: n = 394; error-related negativity: n = 389). After separately testing relations between the different measures of cognitive function and sexual functioning, we assessed whether results (1) remained after covarying for externalizing and internalizing dimensions (PID-5; n = 489) or (2) varied by gender. Finally, we tested whether any aspects of cognitive function were unique predictors of sexual functioning. Cognitive flexibility and error monitoring (i.e., error-related negativity) were both significantly related to sexual functioning among males and females, such that poorer cognitive flexibility and heightened error monitoring were related to lower sexual functioning. No significant effects emerged for inhibition or conflict monitoring. In a multiple regression model, cognitive flexibility and error monitoring each accounted for a unique portion of variance in sexual functioning beyond other aspects of cognitive function and psychopathology-related traits. Results suggest that cognitive function is a meaningful correlate of sexual functioning in young adulthood, which should be considered further in future research.

Neurophysiological responses to emotional faces predict dynamic fluctuations in affect in adolescents.

The ability to accurately identify and interpret others' emotions is critical for social and emotional functioning during adolescence. Indeed, previous research has identified that laboratory-based indices of facial emotion recognition and engagement with emotional faces predict adolescent mood states. Whether socioemotional information processing relates to real-world affective dynamics using an ecologically sensitive approach, however, has rarely been assessed. In the present study, adolescents (N = 62; ages 13-18) completed a Facial Recognition Task, including happy, angry, and sad stimuli, while EEG data were acquired. Participants also provided ecological momentary assessment (EMA) data probing their current level of happiness, anger, and sadness for 1-week, resulting in indices of emotion (mean-level, inertia, instability). Analyses focused on relations between (1) accuracy for and (2) prolonged engagement with (LPP) emotional faces and EMA-reported emotions. Greater prolonged engagement with happy faces was related to less resistance to changes in happiness (i.e., less happiness inertia), whereas greater prolonged engagement with angry faces associated with more resistance to changes in anger (i.e., greater anger inertia). Results suggest that socioemotional processes captured by laboratory measures have real-world implications for adolescent affective states and highlight potentially actionable targets for novel treatment approaches (e.g., just-in-time interventions). Future studies should continue to assess relations among socioemotional informational processes and dynamic fluctuations in adolescent affective states.

A prospective study of the relative contribution of adolescent peer support quantity and quality to depressive symptoms.

BACKGROUND: During adolescence, peer support has an increasingly important role in identity formation and well-being. Prior research has identified that lack of social support from peers in adolescence is a potent risk factor for depression. Two ways that social support has been operationalized is by the number of one's friends (i.e., 'quantity') and perception of one's network (i.e., 'quality'). Typically, these aspects of peer support are assessed separately. METHODS: Using data from the National Longitudinal Study of Adolescent to Adult Health (N = 3,857), this study sought to test whether (1) adolescent depression relates to having fewer friends versus lower quality friendships, (2) these aspects of adolescent peer support prospectively predict depression in adulthood, (3) gender moderates the effects of peer support on depression, and (4) these aspects of peer support buffer the effects of stressful life events on depression. RESULTS: Peer support quality uniquely predicted depression in adolescence and adulthood among both males and females. The effect of peer support quality on depressive symptoms, however, was greater for females than males. By contrast, peer support quantity did not uniquely predict depression for males or females. CONCLUSIONS: Qualitative aspects of adolescent peer support uniquely contribute to mental health not only in adolescence, but in adulthood as well. Potential processes through which peer support relates to depression are discussed, as well as implications for treatment.

Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches.

Making effective decisions during approach-avoidance conflict is critical in daily life. Aberrant decision-making during approach-avoidance conflict is evident in a range of psychological disorders, including anxiety, depression, trauma-related disorders, substance use disorders, and alcohol use disorders. To help clarify etiological pathways and reveal novel intervention targets, clinical research into decision-making is increasingly adopting a computational psychopathology approach. This approach uses mathematical models that can identify specific decision-making related processes that are altered in mental health disorders. In our review, we highlight foundational approach-avoidance conflict research, followed by more in-depth discussion of computational approaches that have been used to model behavior in these tasks. Specifically, we describe the computational models that have been applied to approach-avoidance conflict (e.g., drift-diffusion, active inference, and reinforcement learning models), and provide resources to guide clinical researchers who may be interested in applying computational modeling. Finally, we identify notable gaps in the current literature and potential future directions for computational approaches aimed at identifying mechanisms of approach-avoidance conflict in psychopathology.

Childhood trauma predicts blunted error monitoring in adulthood: An event-related potential study.

Abuse and neglect have detrimental consequences on emotional and cognitive functioning during childhood and adolescence, including error monitoring, which is a critical aspect of cognition that has been implicated in certain internalizing and externalizing psychopathologies. It is unclear, however, whether (a) childhood trauma has effects on error monitoring and, furthermore whether, (b) error monitoring mediates the relation between childhood trauma and psychopathology in adulthood. To this end, in a large sample of young adults (ages 18-30) who were oversampled for psychopathology (N = 390), the present study assessed relations between childhood trauma and error-related negativity (ERN), which is a widely used neurophysiological indicator of error monitoring. Cumulative childhood trauma predicted ERN blunting, as did two specific types of traumas: sexual abuse and emotional neglect. Furthermore, the ERN partially mediated the effects of cumulative childhood trauma and emotional neglect on externalizing-related symptoms. Future studies should further examine the relations between childhood trauma and error monitoring in adulthood, which can help to inform intervention approaches.

Examining the Construct Validity of Borderline Personality Traits Using Familial Aggregation and Other External Validators.

Numerous studies have questioned the reliability and validity of borderline personality disorder's (BPD) categorical conceptualization. DSM-5 Section III's alternative trait-based model of BPD may better capture borderline pathology, but aspects of its validity should be further established. Thus, the authors examined whether a latent BPD factor derived from Section III traits exhibits (1) familial aggregation among siblings and (2) association with constructs related to borderline pathology. The authors also tested whether gender moderated associations. A total of 498 community-recruited adults completed the Personality Inventory for DSM-5, a behavioral assessment of risk-taking, and reported their history of childhood maltreatment, substance use, nonsuicidal self-injury, and suicidal ideation. Familial aggregation was assessed among 232 sibling pairs. Siblings' BPD scores were significantly correlated and most external validators were significantly associated with BPD, with the exception of risk-taking. Results did not vary by gender. Findings further support the construct validity of Section III's BPD trait profile.

Reward-based reinforcement learning is altered among individuals with a history of major depressive disorder and psychomotor retardation symptoms.

Reward-based reinforcement learning impairments are common in major depressive disorder, but it is unclear which aspects of reward-based reinforcement learning are disrupted in remitted major depression (rMDD). Given that the neurobiological substrates that implement reward-based RL are also strongly implicated in psychomotor retardation (PmR), the present study sought to test whether reward-based reinforcement learning is altered in rMDD individuals with a history of PmR. Three groups of individuals (1) rMDD with past PmR (PmR+, N = 34), (2) rMDD without past PmR (PmR-, N = 44), and (3) healthy controls (N = 90) completed a reward-based reinforcement learning task. Computational modeling was applied to test for group differences in model-derived parameters - specifically, learning rates and reward sensitivity. Compared to controls, rMDD PmR + exhibited lower learning rates, but not reduced reward sensitivity. By contrast, rMDD PmR- did not significantly differ from controls on either of the model-derived parameters. Follow-up analyses indicated that the results were not due to current psychopathology symptoms. Results indicate that a history of PmR predicts altered reward-based reinforcement learning in rMDD. Abnormal reward-related reinforcement learning may reflect a scar of past depressive episodes that contained psychomotor symptoms, or a trait-like deficit that preceded these episodes.

The Reliability and Validity of Response-Based Measures of Attention Bias.

Background: Attention bias to threat is a fundamental transdiagnostic component and potential vulnerability factor for internalizing psychopathologies. However, the measurement of attentional bias, such as traditional scores from the dot-probe paradigm, evidence poor reliability and do not measure intra-individual variation in attentional bias. Methods: The present study examined, in three independent samples, the psychometric properties of a novel attentional bias (AB) scoring method of the dot-probe task based on responses to individual trials. For six AB scores derived using the response-based approach, we assessed the internal consistency, test-retest reliability, familial associations, and external validity (using Social Anxiety Disorder, a disorder strongly associated with attentional bias to threatening faces). Results: Compared to traditional AB scores, response-based scores had generally better internal consistency (range of Cronbach's alphas: 0.68-0.92 vs. 0.41-0.71), higher test-retest reliabilities (range of Pearson's correlations: 0.26-0.77 vs. -0.05-0.35), and were more strongly related in family members (range of ICCs: 0.11-0.27 vs. 0-0.05). Furthermore, three response-based scores added incremental validity beyond traditional scores and gender in the external validators of current and lifetime Social Anxiety Disorder. Conclusions: Findings indicate that response-based AB scores from the dot-probe task have better psychometric properties than traditional scores.

Frontoparietal network activity during model-based reinforcement learning updates is reduced among adolescents with severe sexual abuse.

Trauma and trauma-related disorders are characterized by impaired learning processes, including reinforcement learning (RL). Identifying which aspects of learning are altered by trauma is critical endeavor, as this may reveal key mechanisms of impairment and potential intervention targets. There are at least two types of RL that have been delineated using computational modeling: model-free and model-based RL. Although these RL processes differentially predict decision-making behavior, most research has examined the impact of trauma on model-free RL. Currently unclear whether model-based RL, which involves building abstract and nuanced representations of stimulus-outcome relationships, is impaired among individuals with a history of trauma. The present study sought to test the hypothesis of impaired model-based RL among adolescent females exposed to assaultive trauma. Participants (n = 60; 29 without a history of assault and 31 with a history of assault with and without PTSD) completed a three-arm bandit task during fMRI acquisition. Two computational models compared the degree to which participants' task behavior fit the use of a model-free versus model-based RL strategy. Although a history of assaultive trauma did not predict poorer model-based RL, greater sexual abuse severity predicted less use of model-based compared to model-free RL. Additionally, severe sexual abuse predicted less left frontoparietal network encoding of model-based RL updates. Altered model-based RL, which supports goal-directed behavior, may be an important route through which clinical impairment emerges among individuals with a history of severe sexual abuse and should be examined further in future studies.

Value estimation and latent-state update-related neural activity during fear conditioning predict posttraumatic stress disorder symptom severity.

Learning theories of posttraumatic stress disorder (PTSD) purport that fear-learning processes, such as those that support fear acquisition and extinction, are impaired. Computational models designed to capture specific processes involved in fear learning have primarily assessed model-free, or trial-and-error, reinforcement learning (RL). Although previous studies indicated that aspects of model-free RL are disrupted among individuals with PTSD, research has yet to identify whether model-based RL, which is inferential and contextually driven, is impaired. Given empirical evidence of aberrant contextual modulation of fear in PTSD, the present study sought to identify whether model-based RL processes are altered during fear conditioning among women with interpersonal violence (IPV)-related PTSD (n = 85) using computational modeling. Model-free, hybrid, and model-based RL models were applied to skin conductance responses (SCR) collected during fear acquisition and extinction, and the model-based RL model was found to provide the best fit to the SCR data. Parameters from the model-based RL model were carried forward to neuroimaging analyses (voxel-wise and independent component analysis). Results revealed that reduced activity within visual processing regions during model-based updating uniquely predicted higher PTSD symptoms. Additionally, after controlling for model-based updating, greater value estimation encoding within the left frontoparietal network during fear acquisition and reduced value estimation encoding within the dorsomedial prefrontal cortex during fear extinction predicted greater PTSD symptoms. Results provide evidence of disrupted RL processes in women with assault-related PTSD, which may contribute to impaired fear and safety learning, and, furthermore, may relate to treatment response (e.g., poorer response to exposure therapy).

Evaluating the criterion validity of hierarchical psychopathology dimensions across models: Familial aggregation and associations with research domain criteria (sub)constructs.

The Hierarchical Taxonomy of Psychopathology (HiTOP) posits that psychopathology is a hierarchy of correlated dimensions. Numerous studies have examined the validity of these dimensions using bifactor models, in which each disorder loads onto both a general and specific factor (e.g., internalizing, externalizing). Although bifactor models tend to fit better than alternative models, concerns have been raised about bifactor model selection, factor reliability, and interpretability. Therefore, we compared the reliability and validity of several higher-order HiTOP dimensions between bifactor and correlated factor models using familial aggregation and associations with Research Domain Criteria (RDoC; sub)constructs as validators. Lifetime psychopathology was assessed in a community sample (N = 504) using dimensional disorder severity scales calculated from semistructured interview data. A series of unidimensional, correlated factor, and bifactor models were fit to model several HiTOP dimensions. A bifactor model with two specific factors (internalizing and disinhibited externalizing) and a correlated two-factor model provided the best fit to the data. HiTOP dimensions had adequate reliability in the correlated factor model, but suboptimal reliability in the bifactor model. The disinhibited externalizing dimension was highly correlated across the two models and was familial, yet largely unrelated to RDoC (sub)constructs in both models. The internalizing dimension in the correlated factor model and the general factor in the bifactor model were highly correlated and had similar validity patterns, suggesting the general factor was largely redundant with the internalizing dimension in the correlated factor model. These findings support concerns about the interpretability of psychopathology dimensions in bifactor models. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Childhood maltreatment predicts poorer executive functioning in adulthood beyond symptoms of internalizing psychopathology.

BACKGROUND: A history of childhood maltreatment predicts poorer functioning in several domains during childhood, including executive function (EF). While there is also evidence of poorer EF in adults with a history of childhood trauma, results are mixed. Notable limitations of previous research are (a) the use of single indicators of EF, and/or (b) not consistently assessing whether childhood maltreatment predicts poorer EF beyond internalizing psychopathology. OBJECTIVE: We sought to overcome limitations of prior work by examining relationships between childhood maltreatment and EF in adulthood by using a latent factor of EF derived from multiple indicators and including psychopathology covariates in our analyses. PARTICIPANTS AND SETTING: The present study included a large sample of community adults (n = 489) who were oversampled for internalizing psychopathology symptoms. METHODS: Primary analyses examined whether childhood maltreatment (cumulative and subtypes) predicted EF using a latent factor approach and linear mixed effects models. Follow-up analyses assessed the impact of childhood maltreatment on EF beyond internalizing psychopathology symptoms and assessed whether gender moderated relationships between EF and childhood maltreatment. RESULTS: Greater cumulative maltreatment predicted poorer EF (B = -0.15), and emotional neglect emerged as a unique predictor of EF (B = -0.18). These results remained after controlling for psychopathology symptoms. Gender moderated the relationship between physical abuse and EF, with physical abuse predicting poorer EF among males (B = 0.30), but not females (B = -0.04). CONCLUSIONS: Overall, results indicate that general EF deficits are related to a history of childhood maltreatment, which is not accounted for by internalizing psychopathology symptoms. Potential implications and future directions are discussed.

Major depression, temperament, and social support as psychosocial mechanisms of the intergenerational transmission of parenting styles.

In this three-generation longitudinal study of familial depression, we investigated the continuity of parenting styles, and major depressive disorder (MDD), temperament, and social support during childrearing as potential mechanisms. Each generation independently completed the Parental Bonding Instrument (PBI), measuring individuals' experiences of care and overprotection received from parents during childhood. MDD was assessed prospectively, up to 38 years, using the semi-structured Schedule for Affective Disorders and Schizophrenia (SADS). Social support and temperament were assessed using the Social Adjustment Scale - Self-Report (SAS-SR) and Dimensions of Temperament Scales - Revised, respectively. We first assessed transmission of parenting styles in the generation 1 to generation 2 cycle (G1→G2), including 133 G1 and their 229 G2 children (367 pairs), and found continuity of both care and overprotection. G1 MDD accounted for the association between G1→G2 experiences of care, and G1 social support and temperament moderated the transmission of overprotection. The findings were largely similar when examining these psychosocial mechanisms in 111 G2 and their spouses (G2+S) and their 136 children (G3) (a total of 223 pairs). Finally, in a subsample of families with three successive generations (G1→G2→G3), G2 experiences of overprotection accounted for the association between G1→G3 experiences of overprotection. The results of this study highlight the roles of MDD, temperament, and social support in the intergenerational continuity of parenting, which should be considered in interventions to "break the cycle" of poor parenting practices across generations.

Examining the latent structure of emotional awareness and associations with executive functioning and depression.

Emotional awareness is comprised of dispositions towards and knowledge about one's emotions. Executive functions (EF) are cognitive processes that organise and guide behaviour towards one's goals. Both emotional awareness and EF play a role in processes such as emotion regulation and are risk factors for the development and maintenance of depression. Although previous research suggests that aspects of emotional awareness are related to EF, methodological and measurement limitations within the available literature make it difficult to clearly understand how they are associated. In this registered report, we examined the extent to which task-based measures of a specific EF process, shifting, are differentially related to unique facets of emotional awareness (i.e. emotional clarity of type, emotional clarity of source, voluntary attention to emotions, and involuntary attention to emotions), and to what extent EF and emotional awareness are related to depression. Using structural equation modelling, we found evidence that emotional clarity of type was associated with greater shifting cost. Shifting was not associated with any other facet of emotional awareness. Depression was linked to lower emotional clarity of type, higher involuntary attention to emotions, but not poorer EF performance. We discuss how emotional awareness and EF may be uniquely related to depression.

Differential relationships of PTSD symptom clusters with cortical thickness and grey matter volumes among women with PTSD.

Structural neuroimaging studies of posttraumatic stress disorder (PTSD) have typically reported reduced cortical thickness (CT) and gray matter volume (GMV) in subcortical structures and networks involved in memory retrieval, emotional processing and regulation, and fear acquisition and extinction. Although PTSD is more common in women, and interpersonal violence (IPV) exposure is a more potent risk factor for developing PTSD relative to other forms of trauma, most of the existing literature examined combat-exposed men with PTSD. Vertex-wise CT and subcortical GMV analyses were conducted to examine potential differences in a large, well-characterized sample of women with PTSD stemming from IPV-exposure (n = 99) compared to healthy trauma-free women without a diagnosis of PTSD (n = 22). Subgroup analyses were also conducted to determine whether symptom severity within specific PTSD symptom clusters (e.g., re-experiencing, active avoidance, hyperarousal) predict CT and GMV after controlling for comorbid depression and anxiety. Results indicated that a diagnosis of PTSD in women with IPV-exposure did not significantly predict differences in CT across the cortex or GMV in the amygdala or hippocampus compared to healthy controls. However, within the PTSD group, greater re-experiencing symptom severity was associated with decreased CT in the left inferior and middle temporal gyrus, and decreased CT in the right parahippocampal and medial temporal gyrus. In contrast, greater active avoidance symptom severity was associated with greater CT in the left lateral fissure, postcentral gyrus, and middle/lateral occipital cortex, and greater CT in the right paracentral, posterior cingulate, and superior occipital gyrus. In terms of GMV, greater hyperarousal symptom severity was associated with reduced left amygdala GMV, while greater active avoidance symptom severity was associated with greater right amygdala GMV. These findings suggest that structural brain alterations among women with IPV-related PTSD may be driven by symptom severity within specific symptom clusters and that PTSD symptom clusters may have a differential (increased or decreased) association with brain structures.

Distinct cortical thickness correlates of early life trauma exposure and posttraumatic stress disorder are shared among adolescent and adult females with interpersonal violence exposure.

Early life trauma (ELT) exposure and posttraumatic stress disorder (PTSD) both affect neural structure, which predicts a variety of mental health concerns throughout the lifespan and may present differently between adolescents and adults. However, few studies have identified the relationship between ELT, PTSD, development, and brain structure using cortical thickness (CT). CT may reveal previously obscured alterations that are potentially clinically relevant and, furthermore, could identify specific structural correlates distinct to ELT from PTSD. Two hundred and fifty-three female adolescent and adult survivors of interpersonal violence and non-trauma-exposed demographically matched controls underwent structural MRI at two different sites. Images were processed and CT was estimated using FreeSurfer. Vertex-wise linear model tests were conducted across the cortical surface to investigate whether PTSD and ELT exposure uniquely affect CT, controlling for scanner site. Planned follow-up tests included second-level analyses of clinical symptoms for CT clusters that were significantly related to PTSD or ELT. CT in the middle cingulate cortex was inversely related to ELT in both age groups, such that individuals with more ELT demonstrated less CT in this region. Additionally, CT was significantly greater in the bilateral intraparietal sulcus and left angular gyrus in both adolescents and adults with PTSD. Furthermore, CT in these clusters was also significantly related to clinical symptom severity in the adult PTSD group. This study provides evidence for distinct CT correlates of ELT and PTSD that are present across adolescents and adults, suggesting consistent markers related to ELT and PTSD on gray matter structure in trauma-exposed individuals.

Childhood abuse history and attention bias in adults.

Attention biases toward unpleasant information are evident among children and adults with a history of abuse and have been identified as a potential pathway through which abused children develop psychopathology. Identifying whether a history of childhood abuse affects the time course of attention biases in adults is critical, as this may provide intervention targets. The present study examined the time course of attention bias during an emotion-word Stroop task using event-related potentials (ERPs) in a sample of adults with a range of child abuse histories using a categorical approach (comparing adults with or without a history of moderate-to-severe childhood abuse) and a dimensional approach (analyzing the range from no abuse to severe abuse in a continuous manner). Although behavioral performance did not vary as a function of abuse history, adults with a history of moderate-to-severe childhood abuse showed ERP evidence of early reduced processing of emotional stimuli (smaller N200) and later reduced processing of emotional and nonemotional stimuli (smaller P300), followed by later increased processing of unpleasant stimuli (larger slow wave [SW]). Results suggest that early disengagement from emotional stimuli may help individuals with moderate-to-severe abuse histories to achieve normal behavioral performance on the emotion-word Stroop task. Additionally, regardless of analytic approach, adults with elevated levels of childhood abuse exhibited prolonged engagement (larger SW) specifically with unpleasant stimuli. Present results demonstrate attention bias patterns in adults with a history of childhood abuse and clarify the time course of attention bias. Results are discussed in the context of potential treatment implications.

Executive Function Deficits in Daily Life Prospectively Predict Increases in Depressive Symptoms.

Executive function (EF) deficits are associated with depression. Given that few prospective studies have been conducted, it is unclear whether deficits contribute to depression or result from it. The present study examined whether self-reported EF prospectively predicted worsening of depression symptoms. Time 1 (T1) shifting, inhibition, and working memory (WM) were assessed in relation to T1 and time 2 (T2) depressive symptoms in participants pre-selected to range in risk for depression. Analyses indicated that poorer EF at T1 predicted increases in depressive symptoms and furthermore that this relationship was specific to WM. In contrast, a bidirectional relationship was not evident, as depressive symptoms did not prospectively predict changes in EF. Finally, T1 EF accounted for T2 depressive symptoms beyond two well established predictors of depression: depressive symptoms at T1 and rumination at T2. These findings suggest that EF deficits play an active role in depression onset, maintenance, and/or recurrence.

The complex interaction between anxiety and cognition: insight from spatial and verbal working memory.

Anxiety can be distracting, disruptive, and incapacitating. Despite problems with empirical replication of this phenomenon, one fruitful avenue of study has emerged from working memory (WM) experiments where a translational method of anxiety induction (risk of shock) has been shown to disrupt spatial and verbal WM performance. Performance declines when resources (e.g., spatial attention, executive function) devoted to goal-directed behaviors are consumed by anxiety. Importantly, it has been shown that anxiety-related impairments in verbal WM depend on task difficulty, suggesting that cognitive load may be an important consideration in the interaction between anxiety and cognition. Here we use both spatial and verbal WM paradigms to probe the effect of cognitive load on anxiety-induced WM impairment across task modality. Subjects performed a series of spatial and verbal n-back tasks of increasing difficulty (1, 2, and 3-back) while they were safe or at risk for shock. Startle reflex was used to probe anxiety. Results demonstrate that induced-anxiety differentially impacts verbal and spatial WM, such that low and medium-load verbal WM is more susceptible to anxiety-related disruption relative to high-load, and spatial WM is disrupted regardless of task difficulty. Anxiety impacts both verbal and spatial processes, as described by correlations between anxiety and performance impairment, albeit the effect on spatial WM is consistent across load. Demanding WM tasks may exert top-down control over higher-order cortical resources engaged by anxious apprehension, however high-load spatial WM may continue to experience additional competition from anxiety-related changes in spatial attention, resulting in impaired performance. By describing this disruption across task modalities, these findings inform current theories of emotion-cognition interactions and may facilitate development of clinical interventions that seek to target cognitive impairments associated with anxiety.

The effect of induced anxiety on cognition: threat of shock enhances aversive processing in healthy individuals.

Individuals with anxiety disorders demonstrate altered cognitive performance including (1) cognitive biases towards negative stimuli (affective biases) and (2) increased cognitive rigidity (e.g., impaired conflict adaptation) on affective Stroop tasks. Threat of electric shock is frequently used to induce anxiety in healthy individuals, but the extent to which this manipulation mimics the cognitive impairment seen in anxiety disorders is unclear. In this study, 31 healthy individuals completed an affective Stroop task under safe and threat-of-shock conditions. We showed that threat (1) enhanced aversive processing and abolished a positive affective bias but (2) had no effect on conflict adaptation. Threat of shock thus partially models the effects of anxiety disorders on affective Stroop tasks. We suggest that the affective state of anxiety-which is common to both threat and anxiety disorders-modulates the neural inhibition of subcortical aversive processing, whilst pathologies unique to anxiety disorders modulate conflict adaptation.