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The investigation of callous-unemotional (CU) traits has been central to contemporary research on child behavior problems, and served as the impetus for inclusion of a specifier for conduct disorder in the latest edition of the official psychiatric diagnostic system. Here, we report results from 2 studies that evaluated the construct validity of callousness as assessed in adults, by testing for affiliated deficits in behavioral and neural processing of fearful faces, as have been shown in youthful samples. We hypothesized that scores on an established measure of callousness would predict reduced recognition accuracy and diminished electocortical reactivity for fearful faces in adult participants. In Study 1, 66 undergraduate participants performed an emotion recognition task in which they viewed affective faces of different types and indicated the emotion expressed by each. In Study 2, electrocortical data were collected from 254 adult twins during viewing of fearful and neutral face stimuli, and scored for event-related response components. Analyses of Study 1 data revealed that higher callousness was associated with decreased recognition accuracy for fearful faces specifically. In Study 2, callousness was associated with reduced amplitude of both N170 and P200 responses to fearful faces. Current findings demonstrate for the first time that callousness in adults is associated with both behavioral and physiological deficits in the processing of fearful faces. These findings support the validity of the CU construct with adults and highlight the possibility of a multidomain measurement framework for continued study of this important clinical construct. (PsycINFO Database Record

Methodological and conceptual differences across studies have impeded our understanding of the relationship between psychopathy and internalizing psychopathology. To shed further light on this question, we undertook correlational and structural-modeling analyses of data from two samples to characterize how facets of psychopathy relate to internalizing psychopathology when assessed using multidimensional measures of each construct (i.e., Triarchic Psychopathy Measure, Inventory of Depression and Anxiety Symptoms). Participants for Study 1 were 470 undergraduates and community-dwelling adults who completed these measures in self-report form; participants for Study 2 were 301 community-dwelling adults who completed informant-rating versions of these measures (as applied to a known-other). Across samples, analyses revealed sharply contrasting associations for the three triarchic-model facets with internalizing psychopathology and its subdomains, with boldness relating negatively in most cases, disinhibition relating positively in most cases, and meanness exhibiting mostly null associations. Results provide a nuanced picture of associations between psychopathic symptomatology and internalizing problems.

Dimensional models of psychopathology have emerged to accelerate progress in the way psychopathology is classified, studied, and treated. This article proposes an interface between two major dimensional frameworks, in order to leverage their complementary nature: the Research Domain Criteria (RDoC) and the Hierarchical Taxonomy of Psychopathology (HiTOP). RDoC is a research framework rooted in neuroscience aiming to further the understanding of the transdiagnostic biobehavioral processes underlying psychopathology and ultimately inform future classifications. HiTOP is a system that was derived from the observed covariation among symptoms of psychopathology and promises to provide more informative targets for research and treatment than traditional diagnostic manuals. We performed a comprehensive literature review to delineate connections between dimensions included in RDoC (constructs and subconstructs) and HiTOP (spectra and subfactors). The resulting RDoC-HiTOP interface can facilitate progress in uncovering the etiology of psychopathology and developing a unified, dimensional, and biobehaviorally-grounded psychiatric nosology that systematically describes both clinical syndromes and the processes that underpin them. We conclude with future directions and practical recommendations for using this interface.

A growing body of research supports the value of a multimodal assessment approach, drawing on measures from different response modalities, for clarifying how core biobehavioral processes relate to various clinical problems and dimensions of psychopathology. Using data for 507 healthy adults, the current study was undertaken to integrate self-report and neurophysiological (brain potential) measures as a step toward a multimodal measurement model for the trait of affiliative capacity (AFF) – a biobehavioral construct relevant to adaptive and maladaptive social-interpersonal functioning. Individuals low in AFF exhibit a lack of interpersonal connectedness, deficient empathy, and an exploitative-aggressive social style that may be expressed transdiagnostically in antagonistic externalizing or distress psychopathology. Specific aims were to (1) integrate trait scale and brain potential indicators into a multimodal measure of AFF and (2) evaluate associations of this multimodal measure with criterion variables of different types. Results demonstrated (1) success in creating a multimodal measure of AFF from self-report and neural indicators, (2) effectiveness of this measure in predicting both clinical-diagnostic and neurophysiological criterion variables, and (3) transdiagnostic utility of the multimodal measure at both specific-disorder and broad symptom-dimension levels. Our findings further illustrate the value of psychoneurometric operationalizations of biobehavioral trait dimensions as referents for clarifying transdiagnostic relationships between biological systems variables and empirically defined dimensions of psychopathology.

We used multitrait-multimethod (MTMM) modeling to examine general factors of psychopathology in three samples of youths ( Ns = 2,119, 303, and 592) for whom three informants reported on the youth’s psychopathology (e.g., child, parent, teacher). Empirical support for the p-factor diminished in multi-informant models compared with mono-informant models: The correlation between externalizing and internalizing factors decreased, and the general factor in bifactor models essentially reflected externalizing. Widely used MTMM-informed approaches for modeling multi-informant data cannot distinguish between competing interpretations of the patterns of effects we observed, including that the p factor reflects, in part, evaluative consistency bias or that psychopathology manifests differently across contexts (e.g., home vs. school). Ultimately, support for the p factor may be stronger in mono-informant designs, although it does not entirely vanish in multi-informant models. Instead, the general factor of psychopathology in any given mono-informant model likely reflects a complex mix of variances, some substantive and some methodological.

The biobehavioral traits of the triarchic model of psychopathy have well-known correlates with externalizing psychopathology. Although evidence also suggests associations with internalizing disorders, research has yet to formally model relationships between dimensions of internalizing psychopathology and triarchic traits. Employing a sample of 218 adults (50.2% female), the current study used confirmatory factor analysis to characterize how triarchic trait dimensions—delineated using different scale operationalizations—relate to internalizing when modeled as a single broad factor, and as distinct fear and distress subfactors. Findings demonstrated (a) robust opposing relations for triarchic boldness (+) and disinhibition (−), and an interactive association for the two, with general internalizing, along with a modest negative relationship for meanness; and (b) distinct associations for the three triarchic trait dimensions with fear and distress subfactors of internalizing. This work clarifies how facets of psychopathy relate to the internalizing psychopathology spectrum and provides a means for interfacing this spectrum with biological variables.

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