Spineless Behavior of CX3CR1+ Monocytes in Response to Infection.

Sickness in mammals can lead to cognition deficits, although the underlying mechanisms remain elusive. In a recent Nature Medicine article, Garré et al. (2017) report that sickness-induced cortical dendritic spine loss and impaired memory formation is mediated by CX3CR1+ monocyte-derived TNF-α.

Frustrative Nonreward: Behavior, Circuits, Neurochemistry, and Disorders.

The surprising omission or reduction of vital resources (food, fluid, social partners) can induce an aversive emotion known as frustrative nonreward (FNR), which can influence subsequent behavior and physiology. FNR is an integral mediator of irritability/aggression, motivation (substance use disorders, depression), anxiety/fear/threat, learning/conditioning, and social behavior. Despite substantial progress in the study of FNR during the twentieth century, research lagged in the later part of the century and into the early twenty-first century until the National Institute of Mental Health's Research Domain Criteria initiative included FNR and loss as components of the negative valence domain. This led to a renaissance of new research and paradigms relevant to basic and clinical science alike. The COVID-19 pandemic's extensive individual and social restrictions were correlated with increased drug and alcohol use, social conflict, irritability, and suicide, all potential consequences of FNR. This article highlights animal models related to these psychiatric disorders and symptoms and presents recent advances in identifying the brain regions and neurotransmitters implicated.

Forms of prediction in the nervous system.

The idea that predictions shape how we perceive and comprehend the world has become increasingly influential in the field of systems neuroscience. It also forms an important framework for understanding neuropsychiatric disorders, which are proposed to be the result of disturbances in the mechanisms through which prior information influences perception and belief, leading to the production of suboptimal models of the world. There is a widespread tendency to conceptualize the influence of predictions exclusively in terms of 'top-down' processes, whereby predictions generated in higher-level areas exert their influence on lower-level areas within an information processing hierarchy. However, this excludes from consideration the predictive information embedded in the 'bottom-up' stream of information processing. We describe evidence for the importance of this distinction and argue that it is critical for the development of the predictive processing framework and, ultimately, for an understanding of the perturbations that drive the emergence of neuropsychiatric symptoms and experiences.

Gut microbial molecules in behavioural and neurodegenerative conditions.

Mounting evidence suggests that the gut microbiome impacts brain development and function. Gut-brain connections may be mediated by an assortment of microbial molecules that are produced in the gastrointestinal tract, which can subsequently permeate many organs, including sometimes the brain. Studies in animal models have identified molecular cues propagated from intestinal bacteria to the brain that can affect neurological function and/or neurodevelopmental and neurodegenerative conditions. Herein, we describe bacterial metabolites with known or suspected neuromodulatory activity, define mechanisms of signalling pathways from the gut microbiota to the brain and discuss direct effects that gut bacterial molecules are likely exerting on specific brain cells. Many discoveries are recent, and the findings described in this Perspective are largely novel and yet to be extensively validated. However, expanding research into the dynamic molecular communications between gut microorganisms and the CNS continues to uncover critical and previously unappreciated clues in understanding the pathophysiology of behavioural, psychiatric and neurodegenerative diseases.

The impact of psychosocial adversity on brain and behaviour: an overview of existing knowledge and directions for future research.

Environmental experiences play a critical role in shaping the structure and function of the brain. Its plasticity in response to different external stimuli has been the focus of research efforts for decades. In this review, we explore the effects of adversity on brain's structure and function and its implications for brain development, adaptation, and the emergence of mental health disorders. We are focusing on adverse events that emerge from the immediate surroundings of an individual, i.e., microenvironment. They include childhood maltreatment, peer victimisation, social isolation, affective loss, domestic conflict, and poverty. We also take into consideration exposure to environmental toxins. Converging evidence suggests that different types of adversity may share common underlying mechanisms while also exhibiting unique pathways. However, they are often studied in isolation, limiting our understanding of their combined effects and the interconnected nature of their impact. The integration of large, deep-phenotyping datasets and collaborative efforts can provide sufficient power to analyse high dimensional environmental profiles and advance the systematic mapping of neuronal mechanisms. This review provides a background for future research, highlighting the importance of understanding the cumulative impact of various adversities, through data-driven approaches and integrative multimodal analysis techniques.

Patterns of stressful life events and polygenic scores for five mental disorders and neuroticism among adults with depression.

The dominant ('general') version of the diathesis-stress theory of depression views stressors and genetic vulnerability as independent risks. In the Australian Genetics of Depression Study (N = 14,146; 75% female), we tested whether polygenic scores (PGS) for major depression, bipolar disorder, schizophrenia, anxiety, ADHD, and neuroticism were associated with reported exposure to 32 childhood, past-year, lifetime, and accumulated stressful life events (SLEs). In false discovery rate-corrected models, the clearest PGS-SLE relationships were for the ADHD- and depression-PGSs, and to a lesser extent, the anxiety- and schizophrenia-PGSs. We describe the associations for childhood and accumulated SLEs, and the 2-3 strongest past-year/lifetime SLE associations. Higher ADHD-PGS was associated with all childhood SLEs (emotional abuse, emotional neglect, physical neglect; ORs = 1.09-1.14; p's < 1.3 × 10-5), more accumulated SLEs, and reported exposure to sudden violent death (OR = 1.23; p = 3.6 × 10-5), legal troubles (OR = 1.15; p = 0.003), and sudden accidental death (OR = 1.14; p = 0.006). Higher depression-PGS was associated with all childhood SLEs (ORs = 1.07-1.12; p's < 0.013), more accumulated SLEs, and severe human suffering (OR = 1.17; p = 0.003), assault with a weapon (OR = 1.12; p = 0.003), and living in unpleasant surroundings (OR = 1.11; p = 0.001). Higher anxiety-PGS was associated with childhood emotional abuse (OR = 1.08; p = 1.6 × 10-4), more accumulated SLEs, and serious accident (OR = 1.23; p = 0.004), physical assault (OR = 1.08; p = 2.2 × 10-4), and transportation accident (OR = 1.07; p = 0.001). Higher schizophrenia-PGS was associated with all childhood SLEs (ORs = 1.12-1.19; p's < 9.3-8), more accumulated SLEs, and severe human suffering (OR = 1.16; p = 0.003). Higher neuroticism-PGS was associated with living in unpleasant surroundings (OR = 1.09; p = 0.007) and major financial troubles (OR = 1.06; p = 0.014). A reversed pattern was seen for the bipolar-PGS, with lower odds of reported physical assault (OR = 0.95; p = 0.014), major financial troubles (OR = 0.93; p = 0.004), and living in unpleasant surroundings (OR = 0.92; p = 0.007). Genetic risk for several mental disorders influences reported exposure to SLEs among adults with moderately severe, recurrent depression. Our findings emphasise that stressors and diatheses are inter-dependent and challenge diagnosis and subtyping (e.g., reactive/endogenous) based on life events.

Belief traps: Tackling the inertia of harmful beliefs.

Beliefs can be highly resilient in the sense that they are not easily abandoned in the face of counterevidence. This has the advantage of guiding consistent behavior and judgments but may also have destructive consequences for individuals, nature, and society. For instance, pathological beliefs can sustain psychiatric disorders, the belief that rhinoceros horn is an aphrodisiac may drive a species extinct, beliefs about gender or race may fuel discrimination, and belief in conspiracy theories can undermine democracy. Here, we present a unifying framework of how self-amplifying feedbacks shape the inertia of beliefs on levels ranging from neuronal networks to social systems. Sustained exposure to counterevidence can destabilize rigid beliefs but requires organized rational override as in cognitive behavioral therapy for pathological beliefs or institutional control of discrimination to reduce racial biases. Black-and-white thinking is a major risk factor for the formation of resilient beliefs associated with psychiatric disorders as well as prejudices and conspiracy thinking. Such dichotomous thinking is characteristic of a lack of cognitive resources, which may be exacerbated by stress. This could help explain why conspiracy thinking and psychiatric disorders tend to peak during crises. A corollary is that addressing social factors such as poverty, social cleavage, and lack of education may be the most effective way to prevent the emergence of rigid beliefs, and thus of problems ranging from psychiatric disorders to prejudices, conspiracy theories, and posttruth politics.

Alternation of psychological resilience may moderate mentalization toward mental health conditions from macro- and microstructure aspects.

OBJECTIVE: We aim to investigate the interplay between mentalization, brain microstructure, and psychological resilience as potential protective factors against mental illness. METHOD: Four hundred and twenty-six participants (mean age 40.12±16.95; 202 males, 224 females), without psychiatric or neurological history, completed assessments: Dissociative Process Scale (DPS), Peace of Mind (PoM), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Resilience Scale for Adults (RSA), and Magnetic Resonance Imaging (MRI) structures with selected regions of interest, and Diffusion Tensor Imaging (DTI) maps from various tracts in the right hemisphere and connection to the frontal areas, including anterior thalamic radiation (ATR), Cingulum (hippocampus) (CH), Corticospinal tract (CST), Superior longitudinal fasciculus (SLF), Inferior fronto-occipital fasciculus (IFOF), and Uncinate fasciculus (UF) were analyzed. RESULTS: Two clusters, representing hypomentalization (HypoM) and hypermentalization (HyperM), were identified based on DPS, CPSS, and RFQ responses. One-way ANOVA showed no significant age or gender differences between clusters. The HypoM group exhibited lower PoM scores, higher BDI and BAI scores, and lower RSA scores (ps< 0.05). Structural brain metric comparison showed significant differences in GMV in the right caudal middle frontal gyrus (rcMFG), right superior frontal gyrus (rsFG), and right frontal pole (rFP) between groups. In addition, the HyperM individuals with a higher risk of depression and a higher ratio of intrapersonal to interpersonal factors of resilience were found with reduced GMV on the rcMFG. Additionally, analyses of DTI metrics revealed significant differences between two groups in rATR and rSLF in terms of fractional anisotropy (FA) values; rATR, rCST, rUF, rSLF, rCH and rIFOF in terms of mean diffusivity (MD) values, and radial diffusivity (RD) (corrected p = 0.05). Moreover, the positive correlation between different domains of resilience and white matter (WM) integrity implied further enhancement of intrapersonal or interpersonal resilience factors that are different for people with different mentalization. CONCLUSIONS: The findings underscore the importance of considering both intrapersonal and interpersonal factors in understanding the interactions between psychological resilience and mental health conditions relevant to brain mechanisms.

Intervention recommendations to improve uptake of breast, cervical, and colorectal cancer screening among individuals living with serious mental illness.

PURPOSE: Few efforts have been made to inform intervention design for increasing the uptake of cancer screening in individuals living with serious mental illness (ILSMI), who have lower cancer screening rates than the general population. This qualitative study explored ILSMI's and their care team member's (CTM) recommendations on the design of a breast, colorectal, and cervical cancer screening intervention for ILSMI. METHODS: Twenty-five ILSMI (mean age: 71.4 years; 60% female) and 15 CTM (mean age: 45.3 years; 80% female) were recruited through purposive sampling. Semi-structured in-depth interviews were used to collect participants' intervention suggestions. Interviews were recorded, transcribed verbatim, and imported into NVivo. Content analysis and the constant comparison method were used to analyze interview data. RESULTS: ILSMI and CTMs provided several salient recommendations. ILSMI should receive disease-specific, logistical, and screening education, and primary care staff should receive education on psychopathology. Mental health providers and patient navigators should be considered as the primary interventionist. The intervention should be delivered where ILSMI receive medical or mental health services, receive community and government services, and/or via various digital media. The intervention should improve the collaboration, communication, and coordination between primary and mental health care. Findings also pointed to the implementation of trauma-informed cancer care and integrated care models comprising mental health care and primary cancer care. CONCLUSION: These findings bring the skills, knowledge, and expertise of ILSM and their care team to intervention design for increasing colorectal, breast, and cervical cancer screening in ILSMI attending an intensive outpatient program.

Hospital-Initiated Smoking Cessation Among Patients Admitted with Behavioral Health Conditions.

BACKGROUND: Smoking rates among people living with behavioral health conditions (BHC) range from 30 to 65% and are 2-4 times higher than rates found in the general population. Starting tobacco treatment during a hospital stay is effective for smoking cessation, but little is known regarding treatment response among inpatients with BHC. OBJECTIVE: This study pooled data across multiple clinical trials to determine the relative success in quitting among participants with BHC compared to other study participants. PARTICIPANTS: Adults who smoke (≥ 18 years old) from five hospital-based smoking cessation randomized clinical trials. DESIGN: A retrospective analysis using data from the electronic health record to identify participants with primary diagnoses related to BHC. Recruitment and data analysis were conducted from 2011 to 2016. We used propensity score matching to pair patients with BHC to those with similar characteristics and logistic regression to determine differences between groups. MEASURES: The main outcome was self-reported 30-day abstinence 6 months post-discharge. RESULTS: Of 6612 participants, 798 patients had a BHC-related primary diagnosis. The matched sample included 642 pairs. Nearly 1 in 3 reported using tobacco medications after hospitalization, with no significant difference between patients with and without BHC (29.3% vs. 31.5%; OR (95% CI) = 0.90 (0.71, 1.14), p = 0.40). Nearly 1 in 5 patients with BHC reported abstinence at 6 months; however, their odds of abstinence were 30% lower than among people without BHC (OR (95% CI) = 0.70 (0.53,0.92), p = 0.01). CONCLUSION: When offered tobacco treatment, hospitalized patients with BHC were as likely as people without BHC to accept and engage in treatment. However, patients with BHC were less likely to report abstinence compared to those without BHC. Hospitals are a feasible and promising venue for tobacco treatment among inpatients with BHC. More studies are needed to identify treatment approaches that help people with BHC achieve long-term abstinence.

Mental health problems and help-seeking behaviours of Syrian refugee adolescents: mediating role of self-stigma.

BACKGROUND: Although common mental health problems have been widely studied with self-stigma, few studies have focused on the mediating effect of self-stigma in the relationship between mental health problems and help-seeking behaviours of refugee adolescents. Therefore, the purpose of the present study was to examine whether self-stigma mitigates the adverse effects of stress, anxiety, and depression symptoms on the help-seeking behaviours of Syrian adolescents living in Turkey. METHODS: The participants of this study included 488 Syrian refugee adolescents (boys, 63.73%; girls, 3627%) living in Turkey. Participants completed the Depression Anxiety Stress Scale and General Help-Seeking Scale and Self-Stigma of Seeking Psychology Help Scale. RESULTS: The findings revealed that stress (ß = 0.19, p < 0.01), anxiety (ß = 0.12, p < 0.05), and depression (ß = 0.17, p < 0.01) had significant and positive predictive effects on self-stigma, but not on help-seeking behaviours. Also, self-stigma (ß = -0.12, p < 0.01) had a significant negative predictive effect on help-seeking behaviours. With regard to the indirect effects, the findings showed that self-stigma fully mediated the associations between stress - help-seeking [effect = -0.05, 95% confidence interval (CI) -0.11 to -0.01], anxiety - help-seeking (effect = -0.04, 95% CI -0.09 to -0.01)], and depression - help-seeking (effect = -0.05, 95% CI -0.12 to -0.01). CONCLUSIONS: Our findings highlight the potential negative effects of self-stigma on the help-seeking behaviours of Syrian refugee adolescents, both directly and indirectly. These results can be used to develop and implement effective and efficient interventions to address the unmet mental health needs of refugee adolescents.

Genetic correlations between suicide attempts and psychiatric and intermediate phenotypes adjusting for mental disorders.

BACKGROUND: Suicide attempts are a moderately heritable trait, and genetic correlations with psychiatric and related intermediate phenotypes have been reported. However, as several mental disorders as well as major depressive disorder (MDD) are strongly associated with suicide attempts, these genetic correlations could be mediated by psychiatric disorders. Here, we investigated genetic correlations of suicide attempts with psychiatric and related intermediate phenotypes, with and without adjusting for mental disorders. METHODS: To investigate the genetic correlations, we utilized large-scale genome-wide association study summary statistics for suicide attempts (with and without adjusting for mental disorders), nine psychiatric disorders, and 15 intermediate phenotypes. RESULTS: Without adjusting for mental disorders, suicide attempts had significant positive genetic correlations with risks of attention-deficit/hyperactivity disorder, schizophrenia, bipolar disorder, MDD, anxiety disorders and posttraumatic stress disorder; higher risk tolerance; earlier age at first sexual intercourse, at first birth and at menopause; higher parity; lower childhood IQ, educational attainment and cognitive ability; and lower smoking cessation. After adjusting for mental disorders, suicide attempts had significant positive genetic correlations with the risk of MDD; earlier age at first sexual intercourse, at first birth and at menopause; and lower educational attainment. After adjusting for mental disorders, most of the genetic correlations with psychiatric disorders were decreased, while several genetic correlations with intermediate phenotypes were increased. CONCLUSIONS: These findings highlight the importance of considering mental disorders in the analysis of genetic correlations related to suicide attempts and suggest that susceptibility to MDD, reproductive behaviors, and lower educational levels share a genetic basis with suicide attempts after adjusting for mental disorders.

Exploring decision-making performance in young adults with mental health disorders: a comparative study using the Cambridge gambling task.

Decision-making deficits, assessed cognitively, are often associated with mental health symptoms, however, this relationship is not fully understood. This paper explores the relationship between mental health disorders and decision-making, using the Cambridge Gambling Task (CGT). Our study investigated how decision-making varied across 20 different mental health conditions compared to controls in a sample of 572 young adults from the Minneapolis and Chicago metropolitan areas, using a computerized laboratory-based task. Almost all mental health conditions were associated with at least mild (i.e. at least small effect size) impairment in all three studied parameters of the CGT (risk adjustment, quality of decision-making and overall proportion of bet). Notably, binge eating disorder had the largest cognitive impairment and gambling disorder had moderate impairment. Post-traumatic stress disorder (PTSD) was associated with impaired decision-making while obsessive-compulsive disorder (OCD) and depression showed moderate impairment. Additionally, half of the disorders assessed had moderate to large impairment in risk adjustment.These findings suggest that mental health conditions may have a more complex cognitive profile than previously thought, and a better understanding of these impairments may aid in risk assessment and targeted clinical interventions. This study underscores the need for further research to determine the causal pathways between mental health conditions and cognition, as well as to better understand the day-to-day impact of such deficits.

The Fusion Clinic: Integrating the care of people with severe mental illness and diabetes.

AIM: People with coexisting severe mental illness (SMI) and type 2 diabetes have a shorter life expectancy and poorer diabetes outcomes than those without SMI. This is partly explained by the separate treatment of diabetes and SMI, which occurs in parallel silos in many healthcare systems. The Steno Diabetes Center Sjaelland and Region Zealand established the Fusion Clinic to offer combined psychiatric and diabetes care delivered by both diabetes and mental healthcare professionals. This study describes how the clinic was established and the initial diabetes outcomes. METHODS: The Fusion Clinic was co-designed by people with diabetes and SMI and healthcare professionals to improve the care of adults with diabetes and SMI. The clinic approach utilised the F-ACT model. The 63 people referred to the Fusion Clinic between 01.02.2020 and 01.01.2022 who attended the clinic for more than 6 months were included in this study. Diabetes outcomes were recorded in the electronic medical records (Sundhedsplatformen EPIC). RESULTS: There was a high prevalence of diabetes complications at baseline. Furthermore, 70% had one or more additional concomitant diseases, as well as SMI and diabetes. Assessment of diabetes complications and measurements of HbA1c and lipid profile improved after referral to the clinic. HbA1c declined during the first 6 months of attendance at the clinic. CONCLUSIONS: This model of service delivery has the potential to improve the quality of care for people with SMI and type 2 diabetes.

School achievement in adolescence and the risk of mental disorders in early adulthood: a Finnish nationwide register study.

School grades in adolescence have been linked to later psychiatric outcomes, but large-scale nationwide studies across the spectrum of mental disorders are scarce. In the present study, we examined the risk of a wide array of mental disorders in adulthood, as well as the risk of comorbidity, associated with school achievement in adolescence. We used population-based cohort data comprising all individuals born in Finland over the period 1980-2000 (N = 1,070,880) who were followed from age 15 or 16 until a diagnosis of mental disorder, emigration, death, or December 2017, whichever came first. Final grade average from comprehensive school was the exposure, and the first diagnosed mental disorder in a secondary healthcare setting was the outcome. The risks were assessed with Cox proportional hazards models, stratified Cox proportional hazard models within strata of full-siblings, and multinomial regression models. The cumulative incidence of mental disorders was estimated using competing risks regression. Better school achievement was associated with a smaller risk of all subsequent mental disorders and comorbidity, except for eating disorders, where better school achievement was associated with a higher risk. The largest associations were observed between school achievement and substance use disorders. Overall, individuals with school achievement more than two standard deviations below average had an absolute risk of 39.6% of a later mental disorder diagnosis. By contrast, for individuals with school achievement more than two standard deviations above average, the absolute risk of a later mental disorder diagnosis was 15.7%. The results show that the largest mental health burden accumulates among those with the poorest school achievement in adolescence.

The impact of preexisting psychiatric disorders and antidepressant use on COVID-19 related outcomes: a multicenter study.

Pre-existing mental disorders are linked to COVID-19-related outcomes. However, the findings are inconsistent and a thorough analysis of a broader spectrum of outcomes such as COVID-19 infection severity, morbidity, and mortality is required. We investigated whether the presence of psychiatric diagnoses and/or the use of antidepressants influenced the severity of the outcome of COVID-19. This retrospective cohort study evaluated electronic health records from the INSIGHT Clinical Research Network in 116,498 individuals who were diagnosed with COVID-19 between March 1, 2020, and February 23, 2021. We examined hospitalization, intubation/mechanical ventilation, acute kidney failure, severe sepsis, and death as COVID-19-related outcomes. After using propensity score matching to control for demographics and medical comorbidities, we used contingency tables to assess whether patients with (1) a history of psychiatric disorders were at higher risk of more severe COVID-19-related outcomes and (2) if use of antidepressants decreased the risk of more severe COVID-19 infection. Pre-existing psychiatric disorders were associated with an increased risk for hospitalization, and subsequent outcomes such as acute kidney failure and severe sepsis, including an increased risk of death in patients with schizophrenia spectrum disorders or bipolar disorders. The use of antidepressants was associated with significantly reduced risk of sepsis (p = 0.033), death (p = 0.026). Psychiatric disorder diagnosis prior to a COVID-19-related healthcare encounter increased the risk of more severe COVID-19-related outcomes as well as subsequent health complications. However, there are indications that the use of antidepressants might decrease this risk. This may have significant implications for the treatment and prognosis of patients with COVID-19.

Mental Health Care Resource Utilization of Victims of Interpersonal Violence in the Novel Coronavirus Era.

INTRODUCTION: Higher incidences of interpersonal violence were reported throughout the country during the coronavirus (COVID) time period. We aimed to compare health-care encounters and resource utilization related to interpersonal violence with mental health (MH) disorders before and during the pandemic within a year of the index visit for interpersonal violence. METHODS: A retrospective analysis of the Delaware Healthcare Claims data of all patients aged ≥16 y who suffered interpersonal violence was performed. Patients were followed up for 1 y pre and post their index visit of interpersonal violence episode during the pre-COVID (March 2018 through December 2018) and the COVID (March 2020 through December 2020) period. Census tract information was used to assess social determinants of health. RESULTS: There were 431 patients in the COVID period and 527 patients in the pre-COVID period with index violence claim encounters. African American patients were more likely to have a violence encounter during COVID (60.3% versus 47.2%, P < 0.001). Patients in the COVID period were more likely to live in a census tract with public assistance households (median 3.3% versus 2.2%, P = 0.005) and higher unemployment (7.5% versus 7.1%, P = 0.01). In the following year of index violence claim, the mean numbers of MH claim-days for COVID and pre-COVID patients were 19.5 (53.3) and 26.2 (66.2), (P = 0.51). The COVID group had fewer MH claim-days mostly in the second half of the year after the index encounter with an incidence rate ratio of 0.61, 95% CI (0.45-0.83). CONCLUSIONS: Racial and socioeconomic disparities were amplified and MH resource utilization was lower during COVID. Further injury prevention efforts should be focused on MH in future pandemics or disasters.

Robust single-trial event-related potentials differentiate between distress and fear disorders.

Recent evidence indicates that measures of brain functioning as indexed by event-related potentials (ERPs) on the electroencephalogram align more closely to transdiagnostic measures of psychopathology than to categorical taxonomies. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a transdiagnostic, dimensional framework aiming to solve issues of comorbidity, symptom heterogeneity, and arbitrary diagnostic boundaries. Based on shared features, the emotional disorders are allocated into subfactors Distress and Fear. Evidence indicates that disorders that are close in the HiTOP hierarchy share etiology, symptom profiles, and treatment outcomes. However, further studies testing the biological underpinnings of the HiTOP are called for. In this study, we assessed differences between Distress and Fear in a range of well-studied ERP components. In total, 50 patients with emotional disorders were divided into two groups (Distress, N = 25; Fear, N = 25) according to HiTOP criteria and compared against 37 healthy comparison (HC) subjects. Addressing issues in traditional ERP preprocessing and analysis methods, we applied robust single-trial analysis as implemented in the EEGLAB toolbox LIMO EEG. Several ERP components were found to differ between the groups. Surprisingly, we found no difference between Fear and HC for any of the ERPs. This suggests that some well-established results from the literature, e.g., increased error-related negativity in OCD, are not a shared neurobiological correlate of the Fear subfactor. Conversely, for Distress, we found reductions compared to Fear and HC in several ERP components across paradigms. Future studies could utilize HiTOP-validated psychopathology measures to more precisely define subfactor groups.