Self-report indicators of negative valence constructs within the research domain criteria (RDoC): A critical review

Perseverative cognitions, negative valence systems, positive valence systems, social disconnection, and suicide: testing a mediator model among university students

Various studies have suggested that perseverative cognitions play an important role in the occurrence of suicide. However, the mediating mechanisms underlying the relationship between perseverative cognitions and suicidality remain largely unknown. Accordingly, the present study aimed to investigate whether positive and negative valence systems and social disconnection temporally mediated the association between perseverative cognitions and suicidal behaviors. 256 university students participated in this study. The data were collected using the Perseverative Cognitions Questionnaire (PCQ), Approach-Avoidance Temperament Questionnaire (ATQ), Social Connectedness Scale-Revised (SCS-R), and Suicidal Behaviors Questionnaire-Revised (SBQ-R). The results showed that perseverative cognitions had a direct and significant effect on suicide (p <.001). Positive and negative valence systems and social disconnection significantly mediated the relationship between perseverative cognitions and suicide. Our findings showed that multiple factors including perseverative cognitions, positive and negative valence systems, and social disconnection may have a role in the occurrence of suicide among university students.

A shared threat-anticipation circuit is dynamically engaged at different moments by certain and uncertain threat

Temporal dynamics play a central role in models of emotion: "fear" is widely conceptualized as a phasic response to certain-and-imminent danger, whereas "anxiety" is a sustained response to uncertain-or-distal harm. Yet the underlying neurobiology remains contentious. Leveraging a translationally relevant fMRI paradigm and theory-driven modeling approach in 220 adult humans, we demonstrate that certain- and uncertain-threat anticipation recruit a shared circuit that encompasses the central extended amygdala (EAc), periaqueductal gray, midcingulate, and anterior insula. This circuit exhibits persistently elevated activation when threat is uncertain and distal, and transient bursts of activation just before certain encounters with threat. Although there is agreement that the EAc plays a critical role in orchestrating responses to threat, confusion persists about the respective contributions of its major subdivisions, the bed nucleus of the stria terminalis (BST) and central nucleus of the amygdala (Ce). Here we used anatomical regions-of-interest to demonstrate that the BST and Ce exhibit statistically indistinguishable threat dynamics. Both regions exhibited activation dynamics that run counter to popular models, with the Ce showing sustained responses to uncertain-and-distal threat and the BST showing phasic responses to certain-and-imminent threat. For many scientists, feelings are the hallmark of fear and anxiety. Here we used an independently validated multivoxel brain 'signature' to covertly probe the moment-by-moment dynamics of anticipatory distress for the first time. Results mirrored the dynamics of neural activation. These observations provide fresh insights into the neurobiology of threat-elicited emotions and set the stage for more ambitious clinical and mechanistic research.

Anxiety symptoms are distinctly related to working memory deficits in adults with ADHD

Working memory (WM), the cognitive system that briefly stores and updates information during complex tasks, is one of the most consistently identified neurocognitive deficits in individuals with ADHD. WM deficits are linked to significant challenges in daily life. Adults with ADHD often experience co-occurring anxiety and mood disorders, which are associated with more severe clinical presentations and greater WM deficits. Disentangling how co-occurring depression and anxiety symptoms uniquely contribute to WM deficits in individuals with ADHD is critical for tailoring effective, evidence-based interventions and treatments. This study used a regression approach to explore the relationships among anxiety, depression symptoms, and WM performance in adults with ADHD (n = 439) referred for neuropsychological evaluation at a Midwestern academic medical center. ADHD diagnostic group (ADHD-I and ADHD-C; Predominately Inattentive presentation, and Combined presentation, respectively), depression symptoms, and anxiety symptoms were modeled as predictors of WM performance, with education as a covariate, as education is linked to better cognitive performance. Anxiety and education significantly predicted WM performance, while depression did not, highlighting distinct effects. Anxiety was associated with poorer WM performance, whereas education was linked to better WM. These results emphasize the need for clinical assessments that account for the impacts of specific symptoms on WM in adults with ADHD.

Risk and resilience factors for psychopathology during pregnancy: An application of the Hierarchical Taxonomy of Psychopathology (HiTOP)

Pregnancy is a time of increased vulnerability to psychopathology, yet limited work has investigated the extent to which variation in psychopathology during pregnancy is shared and unshared across syndromes and symptoms. Understanding the structure of psychopathology during pregnancy, including associations with childhood experiences, may elucidate risk and resilience factors that are transdiagnostic and/or specific to particular psychopathology phenotypes. Participants were 292 pregnant individuals assessed using multiple measures of psychopathology. Confirmatory factor analyses found evidence for a structure of psychopathology consistent with the Hierarchical Taxonomy of Psychopathology (HiTOP). A common transdiagnostic factor accounted for most variation in psychopathology, and both adverse and benevolent childhood experiences (ACEs and BCEs) were associated with this transdiagnostic factor. Furthermore, pregnancy-specific anxiety symptoms most closely reflected the dimension of Fear, which may suggest shared variation with manifestations of fear that are not pregnancy-specific. ACEs and BCEs also linked to specific prenatal psychopathology involving thought problems, detachment, and internalizing, externalizing, antagonistic, and antisocial behavior. These findings extend the dimensional and hierarchical HiTOP model to pregnant individuals and show how maternal childhood risk and resilience factors relate to common and specific forms of psychopathology during pregnancy as a period of enhanced vulnerability.

Neuroscience-informed classification of prevention interventions in substance use disorders: An RDoC-based approach

Neuroscience has contributed to uncover the mechanisms underpinning substance use disorders (SUD). The next frontier is to leverage these mechanisms as active targets to create more effective interventions for SUD treatment and prevention. Recent large-scale cohort studies from early childhood are generating multiple levels of neuroscience-based information with the potential to inform the development and refinement of future preventive strategies. However, there are still no available well-recognized frameworks to guide the integration of these multi-level datasets into prevention interventions. The Research Domain Criteria (RDoC) provides a neuroscience-based multi-system framework that is well suited to facilitate translation of neurobiological mechanisms into behavioral domains amenable to preventative interventions. We propose a novel RDoC-based framework for prevention science and adapted the framework for the existing preventive interventions. From a systematic review of randomized controlled trials using a person-centered drug/alcohol preventive approach for adolescents, we identified 22 unique preventive interventions. By teasing apart these 22 interventions into the RDoC domains, we proposed distinct neurocognitive trajectories which have been recognized as precursors or risk factors for SUDs, to be targeted, engaged and modified for effective addiction prevention.

Transdiagnostic phenomena of psychopathology in the context of the RDoC: protocol of a multimodal cross-sectional study

In the past, affective and cognitive processes related to psychopathology have been examined within the boundaries of phenotype-based diagnostic labels, which has led to inconsistent findings regarding their underlying operating principles. Investigating these processes dimensionally in healthy individuals and by means of multiple modalities may provide additional insights into the psychological and neuronal mechanisms at their core. The transdiagnostic phenomena Neuroticism and Rumination are known to be closely linked. However, the exact nature of their relationship remains to be elucidated. The same applies to the associations between Hedonic Capacity, Negativity Bias and different Emotion Regulation strategies.This multimodal cross-sectional study examines the relationship of the transdiagnostic phenomena Neuroticism and Rumination as well as Hedonic Capacity, the Negativity Bias and Emotion Regulation from a RDoC (Research Domain Criteria) perspective. A total of 120 currently healthy subjects (past 12 months) will complete several questionnaires regarding personality, emotion regulation, hedonic capacity, and psychopathologies as well as functional magnetic resonance imaging (fMRI) during cognitive and emotional processing, to obtain data on the circuit, behavioral and self-report level.This study aims to contribute to the understanding of the relationship between cognitive and affective processes associated with psychopathologies as well as their neuronal correlates. Ultimately, a grounded understanding of these processes could guide improvement of diagnostic labels and treatments. Limitations include the cross-sectional design and the limited variability in psychopathology scores due to the restriction of the sample to currently healthy subjects.

Machine Learning and the Digital Measurement of Psychological Health

Since its inception, the discipline of psychology has utilized empirical epistemology and mathematical methodologies to infer psychological functioning from direct observation. As new challenges and technological opportunities emerge, scientists are once again challenged to define measurement paradigms for psychological health and illness that solve novel problems and capitalize on new technological opportunities. In this review, we discuss the theoretical foundations of and scientific advances in remote sensor technology and machine learning models as they are applied to quantify psychological functioning, draw clinical inferences, and chart new directions in treatment.

Amygdala-based functional connectivity mediates the relationship between thought control ability and trait anxiety

Thought control ability (TCA) refers to the ability to exclude unwanted thoughts. There has been consistent evidence on the protective effect of TCA on anxiety, that higher TCA is associated with lower anxiety. However, the underlying neural mechanism remains unclear. In this study, with a large sample (N = 495), we investigated how seed-based resting-state functional connectivity (RSFC) mediates the relationship between TCA and anxiety. Our behaviour results replicated previous findings that TCA is negatively associated with trait anxiety after controlling for gender, age, and depression. More importantly, the RSFC results revealed that TCA is negatively associated with the left amygdala - left frontal pole (LA-LFP), left amygdala - left inferior temporal gyrus (LA-LITG), and left hippocampus - left inferior frontal gyrus (LH-LIFG) connectivity. In addition, a mediation analysis demonstrated that the LA-LFP and LA-LITG connectivity in particular mediated the influence of TCA on trait anxiety. Overall, our study extends previous research by revealing the neural bases underlying the protective effect of TCA on anxiety and pinpointing specific mediating RSFC pathways. Future studies could explore whether targeted TCA training (behavioural or neural) can help alleviate anxiety.

An Examination of the RDoC Negative Valence Systems Domain Constructs and the Self-Reports Unit of Analysis

In response to shortcomings with the current diagnostic classification system for mental health disorders, such as poor validity and reliability of categorical diagnoses, the National Institute of Mental Health proposed the Research Domain Criteria (RDoC) initiative to move towards a dimensional approach using translational research. The current study examined associations between measures of behaviors, cognitions, and mental health symptoms and how they overlap in the Negative Valence Systems (NVS) domain. Specifically, we examined how the Self-Reports unit of analysis reflects the RDoC NVS constructs of acute threat, potential threat, sustained threat, frustrative nonreward, and loss. The overall goal was to identify additional self-report measures that reflect these constructs. Participants, two student samples and two community samples (total N = 1,509), completed online self-reported measures. Questionnaire total and subscale scores were submitted to a principal-axis factor analysis with Promax rotation separately for each sample. For both student samples and one community sample six-factor solutions emerged reflecting major aspects of the RDoC NVS and positive valence systems, particularly acute threat (i.e., fear/panic), potential threat (i.e., inhibition/worry), sustained threat (i.e., chronic stress), loss (i.e., low well-being), frustrative nonreward (i.e., reactive aggression), and reduced behavioral activation. The second community sample differed in that fear/panic and frustration/anger was combined in a general distress factor. Recommendations for additional NVS self-report markers are discussed.

Classification and assessment of fear and anxiety in personality and psychopathology

We examine fear and anxiety in the context of structural models of personality (the five-factor model, or FFM) and psychopathology (the Hierarchical Taxonomy of Psychopathology, or HiTOP); we also highlight important issues related to their assessment. Anxiety is a sustained, future-oriented response to potential threat. Trait measures of anxiety represent a core facet within the broader domain of neuroticism in the FFM. Anxiety-related symptoms are indicators of the distress subfactor within the internalizing spectrum in HiTOP. In contrast, fear is a brief, present-focused response to an acute threat. We distinguish between two ways of assessing individual differences in fear. The first type assesses phobic responses to specific stimuli. Phobia measures are moderately correlated with measures of neuroticism in the FFM and define the fear subfactor of internalizing in HiTOP. The second type assesses individual differences in harm avoidance versus risk taking. Measures of risk taking (i.e., low fear) are moderately related to disinhibition/low conscientiousness and antagonism/low agreeableness in the FFM and are indicators of the externalizing superspectrum in HiTOP.

Effects of gonadal steroids on reward circuitry function and anhedonia in women with a history of postpartum depression

BACKGROUND

Reward system dysfunction is evident across neuropsychiatric conditions. Here we present data from a double-blinded pharmaco-fMRI study investigating the triggering of anhedonia and reward circuit activity in women.

METHODS

The hormonal states of pregnancy and parturition were simulated in euthymic women with a history of postpartum depression (PPD+; n = 15) and those without such a history (PPD-; n = 15) by inducing hypogonadism, adding back estradiol and progesterone for 8 weeks ("addback"), and then withdrawing both steroids ("withdrawal"). Anhedonia was assessed using the Inventory of Depression and Anxiety Symptoms (IDAS) during each hormone phase. Those who reported a 30 % or greater increase in IDAS anhedonia, dysphoria, or ill temper during addback or withdrawal, compared with pre-treatment, were identified as hormone sensitive (HS+) and all others were identified as non-hormone sensitive (HS-). The monetary incentive delay (MID) task was administered during fMRI sessions at pre-treatment and during hormone withdrawal to assess brain activation during reward anticipation and feedback.

RESULTS

On average, anhedonia increased during addback and withdrawal in PPD+ but not PPD-. During reward feedback, both HS+ (n = 10) and HS- (n = 18) showed decreased activation in clusters in the right putamen (p < .031, FWE-corrected) and left postcentral and supramarginal gyri (p < .014, FWE-corrected) at the withdrawal scans, relative to pre-treatment scans.

LIMITATIONS

A modest sample size, stringent exclusion criteria, and relative lack of diversity in study participants limit the generalizability of results.

CONCLUSION

Although results do not explain differential hormone sensitivity in depression, they demonstrate significant effects of reproductive hormones on reward-related brain function in women.

Methodologies to Advance a "Science of How": Identifying and Engaging Intervention Targets and Outcomes

OBJECTIVE

Although implementation science has taken hold in many areas of psychiatric services research, a need remains for developing effective, low-cost interventions for specific subpopulations with mental health conditions. The experimental therapeutics approach has gained momentum as a framework for developing effective interventions. However, few studies have taken steps to rigorously apply experimental therapeutics. This article provides a blueprint for applying this approach.

METHODS

A focused literature review was conducted to document the frequency of the application of experimental therapeutics among articles published between 2011 and 2021 in some of the American Psychiatric Association's journals. Independently of the review, the authors delineated a four-component approach for applying experimental therapeutics in research and present practical, innovative strategies to advance psychiatric services research.

RESULTS

The four-component approach includes outlining prerequisites, identifying target mechanisms, proposing intervention strategies to address target mechanisms, and using advanced analytic methods. The strategies described for each component are not exhaustive; rather, they suggest promising avenues for research that can lead to more effective interventions and deeper understanding of how, and for whom, an intervention works.

CONCLUSIONS

The application of experimental therapeutics in psychiatric services research can lead to increased development, refinement, and implementation of effective interventions for specific populations or conditions.

Threat vigilance and intrinsic amygdala connectivity

A well-documented amygdala-dorsomedial prefrontal circuit is theorized to promote attention to threat ("threat vigilance"). Prior research has implicated a relationship between individual differences in trait anxiety/vigilance, engagement of this circuitry, and anxiogenic features of the environment (e.g., through threat-of-shock and movie-watching). In the present study, we predicted that-for those scoring high in self-reported anxiety and a behavioral measure of threat vigilance-this circuitry is chronically engaged, even in the absence of anxiogenic stimuli. Our analyses of resting-state fMRI data (N = 639) did not, however, provide evidence for such a relationship. Nevertheless, in our planned exploratory analyses, we saw a relationship between threat vigilance behavior (but not self-reported anxiety) and intrinsic amygdala-periaqueductal gray connectivity. Here, we suggest this subcortical circuitry may be chronically engaged in hypervigilant individuals, but that amygdala-prefrontal circuitry may only be engaged in response to anxiogenic stimuli.

Mapping Research Domain Criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis

This study aimed to build on the relationship of well-established self-report and behavioral assessments to the latent constructs positive (PVS) and negative valence systems (NVS), cognitive systems (CS), and social processes (SP) of the Research Domain Criteria (RDoC) framework in a large transnosological population which cuts across DSM/ICD-10 disorder criteria categories. One thousand four hundred and thirty one participants (42.1% suffering from anxiety/fear-related, 18.2% from depressive, 7.9% from schizophrenia spectrum, 7.5% from bipolar, 3.4% from autism spectrum, 2.2% from other disorders, 18.4% healthy controls, and 0.2% with no diagnosis specified) recruited in studies within the German research network for mental disorders for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) were examined with a Mini-RDoC-Assessment including behavioral and self-report measures. The respective data was analyzed with confirmatory factor analysis (CFA) to delineate the underlying latent RDoC-structure. A revised four-factor model reflecting the core domains positive and negative valence systems as well as cognitive systems and social processes showed a good fit across this sample and showed significantly better fit compared to a one factor solution. The connections between the domains PVS, NVS and SP could be substantiated, indicating a universal latent structure spanning across known nosological entities. This study is the first to give an impression on the latent structure and intercorrelations between four core Research Domain Criteria in a transnosological sample. We emphasize the possibility of using already existing and well validated self-report and behavioral measurements to capture aspects of the latent structure informed by the RDoC matrix.

Underlying mechanisms of disruptive mood dysregulation disorder in children: A systematic review by means of research domain criteria

Background

A systematic overview of underlying mechanisms in the new disruptive mood dysregulation disorder (DMDD) diagnosis is needed. The Research Domain Criteria (RDoC) represent a system of six domains of human functioning, which aims to structure the understanding of the nature of mental illnesses. By means of the RDoC framework, the objective of this systematic review is to synthesize available data on children and youths <18 years suffering from DMDD as reported in peer reviewed papers.

Methods

A literature search guided by PRISMA was conducted using Medline, PsychInfo, and Embase, while the RDoC domains were employed to systematize research findings. Risk of bias in the included studies was examined.

Results

We identified 319 studies. After study selection, we included 29 studies. Twenty-one of these had findings relating to >1 RDoC domain. The risk of bias assessment shows limitations in the research foundation of current knowledge on mechanisms of DMDD.

Discussion

Reviewing self-report, behavior and neurocircuit findings by means of RDoC domains, we suggest that DMDD youths have a negative interpretation bias in social processes and valence systems. In occurrence of a negative stimuli interpretation, aberrant cognitive processing may arise. However, current knowledge of DMDD is influenced by lack of sample diversity and open science practices.

Conclusion

We found the six RDoC domains useful in structuring current evidence of the underlying mechanisms of DMDD. Important opportunities for future studies in this field of research are suggested. In clinical practice, this comprehensive summary on DMDD mechanisms can be used in psychoeducation and treatment plans.

Levels of depressed mood and low interest for two years after response to cognitive therapy for recurrent depression

BACKGROUND

Major depressive disorder (MDD) involves depressed mood (high negative affect, predominantly) and low interest/pleasure (low positive affect). In past research, negative affect has improved more than positive affect during acute-phase antidepressant medication or cognitive therapy (CT). We extended this literature by differentiating depressed mood and two dimensions of low interest (general and sexual), assessing persistence of symptom differences after acute-phase CT response, and testing whether continuation treatment acted differently on depressed mood versus low interest.

METHODS

We analyzed data from two randomized controlled trials. Patients with recurrent MDD first received acute-phase CT. Then, responders were randomized to 8-month continuation treatments and assessed for 16-24 additional months.

RESULTS

Depressed mood and low general interest improved more than low sexual interest during acute-phase CT. Among responders, these symptom differences persisted for at least 2 years and were not changed by continuation CT or antidepressant medication.

LIMITATIONS

Generalization of findings to other patient populations and treatments is uncertain. Depressed mood and low interest scales were constructed from standard symptom measures and overlapped empirically.

CONCLUSIONS

Less improvement during CT, and persistent low sexual interest despite continuation treatment, highlights the need for MDD treatments more effectively targeting this positive affective symptom.

Imbalance Model of Heart Rate Variability and Pulse Wave Velocity in Psychotic and Nonpsychotic Disorders

OBJECTIVES

Patients with psychiatric disorders have an increased risk of cardiovascular pathologies. A bidirectional feedback model between the brain and heart exists widely in both psychotic and nonpsychotic disorders. The aim of this study was to compare heart rate variability (HRV) and pulse wave velocity (PWV) functions between patients with psychotic and nonpsychotic disorders and to investigate whether subgroups defined by HRV and PWV features improve the transdiagnostic psychopathology of psychiatric classification.

METHODS

In total, 3448 consecutive patients who visited psychiatric or psychological health services with psychotic (N = 1839) and nonpsychotic disorders (N = 1609) and were drug-free for at least 2 weeks were selected. HRV and PWV indicators were measured via finger photoplethysmography during a 5-minute period of rest. Canonical variates were generated through HRV and PWV indicators by canonical correlation analysis (CCA).

RESULTS

All HRV indicators but none of the PWV indicators were significantly reduced in the psychotic group relative to those in the nonpsychotic group. After adjusting for age, gender, and body mass index, many indices of HRV were significantly reduced in the psychotic group compared with those in the nonpsychotic group. CCA analysis revealed 2 subgroups defined by distinct and relatively homogeneous patterns along HRV and PWV dimensions and comprising 19.0% (subgroup 1, n = 655) and 80.9% (subgroup 2, n = 2781) of the sample, each with distinctive features of HRV and PWV functions.

CONCLUSIONS

HRV functions are significantly impaired among psychiatric patients, especially in those with psychosis. Our results highlight important subgroups of psychiatric patients that have distinct features of HRV and PWV which transcend current diagnostic boundaries.

Fear and Coping in Students during the Early Stages of the COVID-19 Pandemic: A Combined Cross-Sectional and Longitudinal Study

The overwhelming impacts of the COVID-19 pandemic have been experienced by individuals across the world. Additional circumstances unique to students affected their studies during the early stages of the pandemic, with changes in living and studying mid-semester. The current study aimed to investigate predictors of fear of COVID-19 in college students during this acute phase using cross-sectional and longitudinal samples. In total, 175 undergraduate students completed an online questionnaire in the spring 2020 semester following lockdown. A subset of 58 students completed a separate survey in fall 2019, which served as a baseline. For the cross-sectional sample, pre-COVID-19 and current living situations did not predict COVID-19 fears. However, a propensity to experience panic was significantly associated with greater COVID-19 fears. How students coped with the pandemic was not associated with COVID-19 fears, although a greater propensity to use denial as a coping style tended to be related to greater COVID-19 fears. In the longitudinal subsample, students showed decreased positive mood and social stress load while depressive mood increased after lockdown. Their preferred coping styles changed, utilizing more self-distraction and acceptance, and less self-blame and substance use. Findings reflect both positive and negative consequences of the pandemic. The unique changes in students' lifestyles will need to be met by tailored interventions.

Response inhibition deficits are positively associated with trait rumination, but attentional inhibition deficits are not: aggressive behaviors and interpersonal stressors as mediators

Previous findings on relationships between inhibition that is a core executive function, and trait rumination have been inconsistent. This inconsistency could be overcome by investigating the association between rumination and the two subcomponents of inhibition: response inhibition and attentional inhibition. This study examined whether and how response inhibition and attentional inhibition were related to rumination as well as worry. University students in Japan (N = 213) conducted the Go/No-Go Task and the Modified Stroop Task. They also completed self-report measures of depression, trait rumination, trait worry, stressors, and aggressive behaviors. Results indicated that response inhibition deficits were positively associated with trait rumination, and this association was mediated by increases in aggressive behaviors and interpersonal stressors. The associations between these variables remained significant even after controlling for depression level. There were no significant direct or indirect associations between attentional inhibition deficits and rumination. These results suggest that response inhibition deficits, among the subcomponents of inhibition, have an indirect positive association with rumination through interpersonal processes. Results also showed nonsignificant differences between rumination and worry in the magnitude of correlation coefficients with the two subcomponents of inhibition. Therefore, it remains unclear whether the positive association with response inhibition is unique to rumination.

Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience

The Research Domain Criteria (RDoC) and the Hierarchical Taxonomy of Psychopathology (HiTOP) represent major dimensional frameworks proposing two alternative approaches to accelerate progress in the way psychopathology is studied, classified, and treated. RDoC is a research framework rooted in neuroscience aiming to further the understanding of transdiagnostic biobehavioral systems underlying psychopathology and ultimately inform future classifications. HiTOP is a dimensional classification system, derived from the observed covariation among symptoms of psychopathology and maladaptive traits, which seeks to provide more informative research and treatment targets (i.e., dimensional constructs and clinical assessments) than traditional diagnostic categories. This article argues that the complementary strengths of RDoC and HiTOP can be leveraged in order to achieve their respective goals. RDoC's biobehavioral framework may help elucidate the underpinnings of the clinical dimensions included in HiTOP, whereas HiTOP may provide psychometrically robust clinical targets for RDoC-informed research. We present a comprehensive mapping between dimensions included in RDoC (constructs and subconstructs) and HiTOP (spectra and subfactors) based on narrative review of the empirical literature. The resulting RDoC-HiTOP interface sheds light on the biobehavioral correlates of clinical dimensions and provides a broad set of dimensional clinical targets for etiological and neuroscientific research. We conclude with future directions and practical recommendations for using this interface to advance clinical neuroscience and psychiatric nosology. Ultimately, we envision that this RDoC-HiTOP interface has the potential to inform the development of a unified, dimensional, and biobehaviorally-grounded psychiatric nosology.

Brain Structure and Subclinical Symptoms: A Dimensional Perspective of Psychopathology in the Depression and Anxiety Spectrum

Human psychopathology is the result of complex and subtle neurobiological alterations. Categorial DSM or ICD diagnoses do not allow a biologically founded and differentiated description of these diverse processes across a spectrum or continuum, emphasising the need for a scientific and clinical paradigm shift towards a dimensional psychiatric nosology. The subclinical part of the spectrum is, however, of special interest for early detection of mental disorders. We review the current evidence of brain structural correlates (grey matter volume, cortical thickness, and gyrification) in non-clinical (psychiatrically healthy) subjects with minor depressive and anxiety symptoms. We identified 16 studies in the depressive spectrum and 20 studies in the anxiety spectrum. These studies show effects associated with subclinical symptoms in the hippocampus, anterior cingulate cortex, and anterior insula similar to major depression and changes in amygdala similar to anxiety disorders. Precuneus and temporal areas as parts of the default mode network were affected specifically in the subclinical studies. We derive several methodical considerations crucial to investigations of brain structural correlates of minor psycho(patho)logical symptoms in healthy participants. And we discuss neurobiological overlaps with findings in patients as well as distinct findings, e.g. in areas involved in the default mode network. These results might lead to more insight into the early pathogenesis of clinical significant depression or anxiety and need to be enhanced by multi-centre and longitudinal studies.

Exploring the utility of RDoC in differentiating effectiveness amongst antidepressants: A systematic review using proposed psychometrics as the unit of analysis for the Negative Valence Systems domain

Background

RDoC conceptualises psychopathology as neurobiologically-rooted behavioural psychological “constructs” that span dimensionally from normality to pathology, but its clinical utility remains controversial.

Aim

To explore RDoC’s potential clinical utility by examining antidepressant effectiveness through Negative Valence Systems (NVS) domain constructs.

Method

A systematic review was conducted on Web of Science, MEDLINE, EMBASE and PsycINFO for antidepressant trials that included psychometric instruments assessed by Watson, Stanton & Clark (2017) to represent NVS constructs of Acute Threat, Potential Threat and Loss.

Results

221 citations were identified; 13 were included in qualitative synthesis, none for quantitative analysis. All suffered from significant bias risks. 9 antidepressants were investigated, most within 1 construct, and most were found to be effective. Paroxetine, citalopram and fluvoxamine were found to be effective for Acute Threat, fluoxetine, desvenlafaxine and sertraline for Potential Threat, and sertraline, fluvoxamine, fluoxetine and desvenlafaxine effective for Loss. Nefazodone was found to be ineffective for acute fear.

Conclusion

Preliminary evidence supports RDoC NVS constructs’ clinical utility in assessing antidepressant effectiveness, but lack of discriminant validity between Potential Threat and Loss supports their recombination into a single Distress construct. Finding of effectiveness within “normal” construct levels support the utility of a dimensional approach. Testable hypotheses were generated that can further test RDoC’s clinical utility.

Psychometric properties of the expanded version of the inventory of depression and anxiety symptoms (IDAS-II) in a sample of older adults

Objective: Given the strong relationship often found between self-report measures of anxiety and depression, the Inventory of Depression and Anxiety Symptoms (IDAS) was created and then expanded (IDAS-II) to assess common and unique symptom dimensions of these emotional disorders. Limited research has focused on the use of the IDAS-II with older adults and the purpose of the current study was to provide data on the reliability and validity of the IDAS-II in this population.Method: A sample of 323 participants (age 55-80 years) were recruited online using Amazon's Mechanical Turk (MTurk). They completed the IDAS-II and several other self-report questionnaires of internalizing symptoms, including widely used measures developed specifically for older adults. Internal consistency and validity of the IDAS-II were examined.Results: The IDAS-II demonstrated marginal to excellent internal consistency (α = .68-.91). An exploratory factor analysis indicated three factors: Distress, Positive Mood, and Obsessions. The IDAS-II explained a large amount of variance in the other measures of depression and anxiety (ranging from 52% to 76%) and the IDAS-II Dysphoria scale significantly related to all of the other measures of depression and anxiety (ranging from r = .69 to r = .81).Conclusion: These results support the use of the IDAS-II with older adults as it has good convergent validity with other commonly used measures of depression and anxiety, including those commonly used in the assessment of older adults. Further research can use the IDAS-II with both younger and older adults to examine age-related changes in depression and anxiety symptoms.

Anxiety and the Neurobiology of Temporally Uncertain Threat Anticipation

When extreme, anxiety-a state of distress and arousal prototypically evoked by uncertain danger-can be debilitating. Uncertain anticipation is a shared feature of situations that elicit signs and symptoms of anxiety across psychiatric disorders, species, and assays. Despite the profound significance of anxiety for human health and wellbeing, the neurobiology of uncertain-threat anticipation remains unsettled. Leveraging a paradigm adapted from animal research and optimized for fMRI signal decomposition, we examined the neural circuits engaged during the anticipation of temporally uncertain and certain threat in 99 men and women. Results revealed that the neural systems recruited by uncertain and certain threat anticipation are anatomically colocalized in frontocortical regions, extended amygdala, and periaqueductal gray. Comparison of the threat conditions demonstrated that this circuitry can be fractionated, with frontocortical regions showing relatively stronger engagement during the anticipation of uncertain threat, and the extended amygdala showing the reverse pattern. Although there is widespread agreement that the bed nucleus of the stria terminalis and dorsal amygdala-the two major subdivisions of the extended amygdala-play a critical role in orchestrating adaptive responses to potential danger, their precise contributions to human anxiety have remained contentious. Follow-up analyses demonstrated that these regions show statistically indistinguishable responses to temporally uncertain and certain threat anticipation. These observations provide a framework for conceptualizing anxiety and fear, for understanding the functional neuroanatomy of threat anticipation in humans, and for accelerating the development of more effective intervention strategies for pathological anxiety.SIGNIFICANCE STATEMENT Anxiety-an emotion prototypically associated with the anticipation of uncertain harm-has profound significance for public health, yet the underlying neurobiology remains unclear. Leveraging a novel neuroimaging paradigm in a relatively large sample, we identify a core circuit responsive to both uncertain and certain threat anticipation, and show that this circuitry can be fractionated into subdivisions with a bias for one kind of threat or the other. The extended amygdala occupies center stage in neuropsychiatric models of anxiety, but its functional architecture has remained contentious. Here we demonstrate that its major subdivisions show statistically indistinguishable responses to temporally uncertain and certain threat. Collectively, these observations indicate the need to revise how we think about the neurobiology of anxiety and fear.

The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes

BACKGROUND

A major research finding in the field of Biological Psychiatry is that symptom-based categories of mental disorders map poorly onto dysfunctions in brain circuits or neurobiological pathways. Many of the identified (neuro) biological dysfunctions are "transdiagnostic", meaning that they do not reflect diagnostic boundaries but are shared by different ICD/DSM diagnoses. The compromised biological validity of the current classification system for mental disorders impedes rather than supports the development of treatments that not only target symptoms but also the underlying pathophysiological mechanisms. The Biological Classification of Mental Disorders (BeCOME) study aims to identify biology-based classes of mental disorders that improve the translation of novel biomedical findings into tailored clinical applications.

METHODS

BeCOME intends to include at least 1000 individuals with a broad spectrum of affective, anxiety and stress-related mental disorders as well as 500 individuals unaffected by mental disorders. After a screening visit, all participants undergo in-depth phenotyping procedures and omics assessments on two consecutive days. Several validated paradigms (e.g., fear conditioning, reward anticipation, imaging stress test, social reward learning task) are applied to stimulate a response in a basic system of human functioning (e.g., acute threat response, reward processing, stress response or social reward learning) that plays a key role in the development of affective, anxiety and stress-related mental disorders. The response to this stimulation is then read out across multiple levels. Assessments comprise genetic, molecular, cellular, physiological, neuroimaging, neurocognitive, psychophysiological and psychometric measurements. The multilevel information collected in BeCOME will be used to identify data-driven biologically-informed categories of mental disorders using cluster analytical techniques.

DISCUSSION

The novelty of BeCOME lies in the dynamic in-depth phenotyping and omics characterization of individuals with mental disorders from the depression and anxiety spectrum of varying severity. We believe that such biology-based subclasses of mental disorders will serve as better treatment targets than purely symptom-based disease entities, and help in tailoring the right treatment to the individual patient suffering from a mental disorder. BeCOME has the potential to contribute to a novel taxonomy of mental disorders that integrates the underlying pathomechanisms into diagnoses.

TRIAL REGISTRATION

Retrospectively registered on June 12, 2019 on ClinicalTrials.gov (TRN: NCT03984084).

Computational Evidence for Underweighting of Current Error and Overestimation of Future Error in Anxious Individuals

BACKGROUND

Real-time control of goal-directed actions requires continuous adjustments in response to both current error (i.e., distance from goal state) and predicted future error. Proportion-integral-derivative control models, which are extensively used in the automated control of industrial processes, formalize this intuition. Previous computational approaches to anxiety have separately addressed behavioral inhibition and exaggerated error processing, but a proportion-integral-derivative control approach that decomposes error processing into current and anticipated error could integrate these accounts and extend them to a real-time sensorimotor control domain.

METHODS

We applied a simplified proportion-derivative control model to a virtual driving task in a transdiagnostic psychiatric sample of 317 individuals and computed a drive parameter (weighting of current error) and a damping parameter (weighting of the rate of change of error, enabling adjustment based on future error).

RESULTS

Self-reported fear, but not negative affect, was selectively associated with lower drive and lower damping. Those individuals that were characterized by lower drive and damping also exhibited lower caudal anterior cingulate cortex, but not insula, volume in a structural magnetic resonance imaging analysis.

CONCLUSIONS

The proportion-derivative control approach reveals that fear is specifically associated with reduced weighting of current error and overestimation of future error, resulting in both approach inhibition and overcorrecting overshoots around a goal state.

Constructing validity: New developments in creating objective measuring instruments

In this update of Clark and Watson (1995), we provide a synopsis of major points of our earlier article and discuss issues in scale construction that have become more salient as clinical and personality assessment has progressed over the past quarter-century. It remains true that the primary goal of scale development is to create valid measures of underlying constructs and that Loevinger's theoretical scheme provides a powerful model for scale development. We still discuss practical issues to help developers maximize their measures' construct validity, reiterating the importance of (a) clear conceptualization of target constructs, (b) an overinclusive initial item pool, (c) paying careful attention to item wording, (d) testing the item pool against closely related constructs, (e) choosing validation samples thoughtfully, and (f) emphasizing unidimensionality over internal consistency. We have added (g) consideration of the hierarchical structures of personality and psychopathology in scale development, discussion of (h) codeveloping scales in the context of these structures, (i) "orphan," and "interstitial" constructs, which do not fit neatly within these structures, (j) problems with "conglomerate" constructs, and (k) developing alternative versions of measures, including short forms, translations, informant versions, and age-based adaptations. Finally, we have expanded our discussions of (l) item-response theory and of external validity, emphasizing (m) convergent and discriminant validity, (n) incremental validity, and (o) cross-method analyses, such as questionnaires and interviews. We conclude by reaffirming that all mature sciences are built on the bedrock of sound measurement and that psychology must redouble its efforts to develop reliable and valid measures. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The Positive Valence Systems Scale: Development and Validation

We present the Positive Valence Systems Scale (PVSS), a measure of the National Institute of Mental Health's Research Domain Criteria Positive Valence Systems domain. An initial long form of the scale (45 items) providing a broad assessment of the domain was distilled into a short form (21 items) measuring responses to a wide range of rewards (Food, Physical Touch, Outdoors, Positive Feedback, Social Interactions, Hobbies, and Goals). Across three diverse samples, the PVSS-21 demonstrated strong internal consistency, retest reliability, and factorial validity. It was more strongly related to reward than punishment sensitivity, positive than negative affect, and depression than anxiety. PVSS-21 scores discriminated depressed from nondepressed individuals and predicted anhedonia severity even when controlling for depression status. Hobbies emerged as the strongest predictor of clinical outcomes and the best differentiator of depressed and nondepressed individuals. Results highlight the potential of the PVSS for advancing understanding of reward-related abnormalities in depression and other disorders.

Transdiagnostic Dimensions towards Personality Pathology and Childhood Traumatic Experience in a Clinical Sample: Subtype Classification by a Cross-sectional Analysis

Psychiatric disorders are highly heterogeneous syndromes often explained by underlying and internalized personality disorder(PD) traits that are affected by externalized childhood trauma experiences(CTE). The present study investigated the differential subtype model by examining the association between PD traits and CTE in a clinical sample with transdiagnostic psychopathology. Outpatients(n = 2090) presenting for psychiatric treatment completed self-reported measures of PD traits(Personality Diagnostic Questionnaire) and the childhood adversity(Child Trauma Questionnaire). Canonical variates were generated by canonical correlation analysis(CCA) and then used for hierarchical cluster analysis to produce subtypes. A support vector machine(SVM) model was used and validated using a linear kernel to assess the utility of the extracted subtypes of outpatients in clinical diagnosis classifications. The CCA determined two linear combinations: emotional abuse related dissociality PD traits(antisocial and paranoid PD) and emotional neglect related sociality PD traits(schizoid, passive-aggressive, depressive, histrionic, and avoidant PD). A cluster analysis revealed three subtypes defined by distinct and relatively homogeneous patterns along two dimensions, and comprising 17.5%(cluster-1, n = 365), 34.8%(cluster-2, n = 727), and 47.8%(cluster-3, n = 998) of the sample, each with distinctive features of PD traits and CTE. These subtypes suggest more distinct PD trait correlates of CTE manifestations than were captured by clinical phenomenological diagnostic definitions. Our results highlight important subtypes of psychiatric patients that highlight PD traits and CTE that transcend current diagnostic boundaries. The three different subtypes reflect significant differences in PD and CTE characteristics and lend support to efforts to develop PD and childhood trauma targeted psychotherapy that extends to clinical diagnosis-based interventions.

The NIMH Research Domain Criteria (RDoC) Initiative and Its Implications for Research on Personality Disorder

PURPOSE OF REVIEW

We discuss the implications of the Research Domain Criteria (RDoC) initiative for neuroscience research on personality disorder (PD). To organize our review, we construct a preliminary conceptual mapping of PD symptom criteria onto RDoC constructs. We then highlight recent neuroscience research, often built around concepts that correspond to RDoC elements, and discuss the findings in reference to the constructs we consider most pertinent to PD.

RECENT FINDINGS

PD symptoms were strongly conceptually tied to RDoC constructs within the Social Processes domain, implicating brain systems involved in interpersonal rejection, facial emotion perception, and self-referential processes. Negative and Positive Valence Systems were conceptually associated with many PD symptoms, with particular relevance ascribed to the latter's Reward Valuation construct, which could reflect a more widespread disruption of computational processes involved in estimating the probability and benefits of a future outcome. Within the Cognitive Systems domain, the Cognitive Control construct mainly related to PD symptoms associated with impulse control, suggesting a connection to neural circuits that underlie goal selection and behavioral control. Arousal and Regulatory Systems could only be conceptually mapped onto PD symptoms through the Arousal construct, with different symptoms reflecting either a higher or lower biological sensitivity to internal and external stimuli. The RDoC framework has promise to advance neuroscience research on PD. The Social Processes domain is especially relevant to PD, although constructs falling within the other RDoC domains could also yield important insights into the neurobiology of PD and its connections with other forms of psychopathology. Identifying RDoC constructs (e.g., habit formation) that subserve more fundamental processes relevant to personality functioning warrants further investigation.

Ontological representation-oriented term normalization and standardization of the Research Domain Criteria

The Research Domain Criteria, launched by the National Institute of Mental Health, is a new dimensional and interdisciplinary research framework for mental disorders. The Research Domain Criteria matrix is its core part. Since an ontology has the strengths of supporting semantic inferencing and automatic data processing, we would like to transform the Research Domain Criteria matrix into an ontological structure. In terms of data normalization, which is the essential part of an ontology representation, the Research Domain Criteria elements (mainly in the Units of Analysis) have some limitations. In this article, we propose a series of solutions to improve data normalization of the Research Domain Criteria elements in the Units of Analysis, including leveraging standard terminologies (i.e. the Unified Medical Language System Metathesaurus), context-combining queries, and domain expertise. The evaluation results show the positive (Yes) percentage is more than 80 percent, indicating our work is favorably received by the mental health professionals, and we have formed a good data foundation for the Research Domain Criteria ontological representation in the future work.

PTSD symptoms are differentially associated with general distress and physiological arousal: Implications for the conceptualization and measurement of PTSD

BACKGROUND

The primary purpose of this study was to examine the place of posttraumatic stress disorder (PTSD) vis-à-vis the external dimensions of general distress and physiological arousal.

METHODS

Using data collected from veterans of the wars in Iraq and Afghanistan (N = 1350), latent variable covariance structure modeling was employed to compare correlations of PTSD symptom clusters and individual PTSD symptoms with general distress and physiological arousal.

RESULTS

Each PTSD symptom cluster, and 17 of 20 individual PTSD symptoms were more strongly associated with general distress than with physiological arousal. However, moderate to strong associations were also found between physiological arousal and both PTSD clusters and symptoms.

LIMITATIONS

Findings are based on self-reported data elicited from a single sample of veterans with substantial PTSD symptoms. Replication, particularly by clinician interview, is necessary. Generalizability to other traumatized populations is unknown.

CONCLUSIONS

Results offer support, with caveats, for viewing PTSD as a distress disorder. Findings are not consistent with the position that PTSD is a hybrid disorder with some features reflecting hyperarousal and others indicative of general distress. Results have implications for the conceptualization and measurement of PTSD.

The central extended amygdala in fear and anxiety: Closing the gap between mechanistic and neuroimaging research

Anxiety disorders impose a staggering burden on public health, underscoring the need to develop a deeper understanding of the distributed neural circuits underlying extreme fear and anxiety. Recent work highlights the importance of the central extended amygdala, including the central nucleus of the amygdala (Ce) and neighboring bed nucleus of the stria terminalis (BST). Anatomical data indicate that the Ce and BST form a tightly interconnected unit, where different kinds of threat-relevant information can be integrated to assemble states of fear and anxiety. Neuroimaging studies show that the Ce and BST are engaged by a broad spectrum of potentially threat-relevant cues. Mechanistic work demonstrates that the Ce and BST are critically involved in organizing defensive responses to a wide range of threats. Studies in rodents have begun to reveal the specific molecules, cells, and microcircuits within the central extended amygdala that underlie signs of fear and anxiety, but the relevance of these tantalizing discoveries to human experience and disease remains unclear. Using a combination of focal perturbations and whole-brain imaging, a new generation of nonhuman primate studies is beginning to close this gap. This work opens the door to discovering the mechanisms underlying neuroimaging measures linked to pathological fear and anxiety, to understanding how the Ce and BST interact with one another and with distal brain regions to govern defensive responses to threat, and to developing improved intervention strategies.

The emotional brain: Fundamental questions and strategies for future research

Emotions play a central role in human experience. Over time, methods for manipulating emotion have become increasingly refined and techniques for making sense of the underlying neurobiology have become ever more powerful and precise, enabling new insights into the organization of emotions in the brain. Yet recent years have witnessed a remarkably vigorous debate about the nature and origins of emotion, with leading scientists raising compelling concerns about the canon of facts and principles that has inspired and guided the field for the past quarter century. Here, we consider ways in which recent neuroimaging research informs this dialogue. By focusing attention on the most important outstanding questions about the nature of emotion and the architecture of the emotional brain, we hope to stimulate the kinds of work that will be required to move the field forward. Addressing these questions is critical, not just for understanding the mind, but also for elucidating the root causes of many of its disorders.

Dispositional negativity in the wild: Social environment governs momentary emotional experience

Dispositional negativity-the tendency to experience more frequent or intense negative emotions-is a fundamental dimension of temperament and personality. Elevated levels of dispositional negativity have profound consequences for public health and wealth, drawing the attention of researchers, clinicians, and policymakers. Yet, relatively little is known about the factors that govern the momentary expression of dispositional negativity in the real world. Here, we used smart phone-based experience-sampling to demonstrate that the social environment plays a central role in shaping the moment-by-moment emotional experience of 127 young adults selectively recruited to represent a broad spectrum of dispositional negativity. Results indicate that individuals with a more negative disposition derive much larger emotional benefits from the company of close companions-friends, romantic partners, and family members-and that these benefits reflect heightened feelings of social connection and acceptance. These results set the stage for developing improved interventions and provide new insights into the interaction of emotional traits and situations in the real world, close to clinically and practically important end-points. (PsycINFO Database Record

Clinical Utility of the Inventory of Depression and Anxiety Symptoms (IDAS)

Depressive and anxiety disorders are severe and disabling conditions that result in substantial cost and global societal burden. Accurate and efficient identification is thus vital to proper diagnosis and treatment of these disorders. The Inventory of Depression and Anxiety Symptoms (IDAS) is a reliable and well-validated measure that provides dimensional assessment of both mood and anxiety disorder symptoms. The current study examined the clinical utility of the IDAS by establishing diagnostic cutoff scores and severity ranges using a large mixed sample (N = 5,750). Results indicated that the IDAS scales are good to excellent predictors of their associated Structured Clinical Interview for DSM-IV diagnoses. These findings were replicated using Diagnostic and Statistical Manual of Mental Disorders-Fifth edition (DSM-5) criteria assessed via the Mini-International Neuropsychiatric Interview. We provide three cutoff scores for each scale that can be used differentially depending on the goal of their use: screening, efficiency, or diagnosis confirmation. The identified severity ranges allow users to characterize individuals as mild, moderate, or severe, providing clinical information beyond diagnostic status. Finally, the 10-item IDAS Dysphoria scale and 20-item General Depression scale demonstrate strong ability to predict internalizing diagnoses and may represent an efficient way to screen for the presence of internalizing psychopathology.

The optimistic brain: Trait optimism mediates the influence of resting-state brain activity and connectivity on anxiety in late adolescence

As a hot research topic in the field of psychology and psychiatry, trait optimism reflects the tendency to expect positive outcomes in the future. Consistent evidence has demonstrated the role of trait optimism in reducing anxiety among different populations. However, less is known about the neural bases of trait optimism and the underlying mechanisms for how trait optimism protects against anxiety in the healthy brain. In this investigation, we examined these issues in 231 healthy adolescent students by assessing resting-state brain activity (i.e., fractional amplitude of low-frequency fluctuations, fALFF) and connectivity (i.e., resting-state functional connectivity, RSFC). Whole-brain correlation analyses revealed that higher levels of trait optimism were linked with decreased fALFF in the right orbitofrontal cortex (OFC) and increased RSFC between the right OFC and left supplementary motor cortex (SMC). Mediation analyses further showed that trait optimism mediated the influence of the right OFC activity and the OFC-SMC connectivity on anxiety. Our results remained significant even after excluding the impact of head motion, positive and negative affect and depression. Taken together, this study reveals that fALFF and RSFC are functional neural markers of trait optimism and provides a brain-personality-symptom pathway for protection against anxiety in which fALFF and RSFC affect anxiety through trait optimism.

The history of generalized anxiety disorder as a diagnostic category

From the 19th century into the 20th century, the terms used to diagnose generalized anxiety included “pantophobia” and “anxiety neurosis.” Such terms designated paroxysmal manifestations (panic attacks) as well as interparoxysmal phenomenology (the apprehensive mental state). Also, generalized anxiety was considered one of numerous symptoms of neurasthenia, a vaguely defined illness. Generalized anxiety disorder (GAD) appeared as a diagnostic category in the third edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-III) in 1980, when anxiety neurosis was split into GAD and panic disorder. The distinct responses these two disorders had to imipramine therapy was one reason to distinguish between the two. Since the revised DSM-III (DSM-III-R), worry about a number of life circumstances has been gradually emphasized as the distinctive symptom of GAD. Thus, a cognitive aspect of anxiety has become the core criterion of GAD. The validity of GAD as an independent category has been questioned from DSM-III up to preparation of DSM-5. Areas of concern have included the difficulty to establish clear boundaries between GAD and (i) personality dimensions, (ii) other anxiety-spectrum disorders, and (iii) nonbipolar depression. The National Institute of Mental Health has recently proposed the Research Domain Criteria (RDoC), a framework destined to facilitate biological research into the etiology of mental symptoms. Within the RDoC framework, generalized anxiety might be studied as a dimension denominated “anxious apprehension” that would typically fit into the research domain called “negative valence systems” and the more specific construct termed “potential threat.”

Emotional health: on the applicability of affective science to the integration of clinical psychology

The aim of the article is to outline the concept of emotional health and its integrative potential in the field of clinical psychology. It is a well-known fact that the transdiagnostic approach and psychotherapy integration – the two most influential integrative movements in clinical psychology – search for a sound conceptual foundation of the efforts to organize a plethora of theories and data relating to the psychological aspects of physical and mental health. Following a short presentation of general discrepancies afflicting clinical psychology and the main ideas of both the transdiagnostic approach and psychotherapy integration, the notion of emotional health is introduced and its unifying convenience, as well as limitations, is discussed.