A Comparison of Two Neurobiological Models of Fear and Anxiety: A "Construct Validity" Application?

Repositioning Construct Validity Theory: From Nomological Networks to Pragmatic Theories and Their Evaluation by Explanatory Means

In this article, I argue for a number of important changes to the conceptual foundations of construct validity theory. I begin by suggesting that construct validity theorists should shift their attention from the validation of constructs to the process of evaluating scientific theories. This shift in focus is facilitated by distinguishing construct validation (understood as theory evaluation) from test validation, thereby freeing it from its long-standing focus on psychological measurement. In repositioning construct validity theory in this way, researchers should jettison the outmoded but superficially popular notion that theories are nomological networks in favor of a more plausible pragmatic view of their natures, such as the idea that theories are explanatorily coherent networks. Consistent with this shift in understanding the nature of theories, my recommendation is that construct validation should embrace an explanationist perspective on the theory evaluation process to complement its focus on hypothetico-deductive theory testing. On this view, abductive research methods have an important role to play. The revisionist perspective on construct validity proposed here is discussed in light of relevant developments in scientific methodology and is applied to an influential account of the validation process that has shaped research practice.

Research hotspots and trends of neuroimaging in social anxiety: a CiteSpace bibliometric analysis based on Web of Science and Scopus database

Background

This study focused on the research hotspots and development trends of the neuroimaging of social anxiety (SA) in the past 25 years.

Methods

We selected 1,305 studies on SA neuroimaging from the Web of Science and Scopus from January 1998 to December 2023. CiteSpace was used to analyze the number of published articles visually, cited references, cooperation among authors and institutions, co-occurrence of keywords, clustering of keywords, burst of keywords, and time zone of co-occurring keywords.

Results

A total of 1,305 articles were included, and the annual number of articles published over nearly 25 years showed the overall trend is on the rise. The analysis of author and institutional collaboration reveals that most authors collaborate closely. Among them, the team led by Pine, Daniel S published 59 articles, making it the most central team. Harvard University is identified as the most central institution in this network. The research hotspots can be categorized into four areas: research techniques, cognitive processing research areas, core brain regions and brain networks, and the neural predictors of treatment outcomes in SA. The most recent burst keywords are "cognitive behavioral therapy," "systematic review," "machine learning," "major clinical study," "transcranial direct current stimulation," "depression," and "outcome assessment," which provided clues on research frontiers. Based on the burst map and keyword time zone map, it appears that exploring the activity of brain regions involved in cognitive processing, such as face processing and attentional bias, as well as the comorbidity of SA and depression, through brain imaging technology, using brain signals as predictors of treatment outcomes in SA.

Conclusion

This study conducted a comprehensive, objective, and visual analysis of publications, and revealed hot topics and trends concerning the study of the brain mechanism of SA from 1998 to 2023. This work might assist researchers in identifying new insights on potential collaborators and institutions, hot topics, and research directions.

An exploratory approach to identify microRNAs as circulatory biomarker candidates for epilepsy-associated psychiatric comorbidities in an electrical post-status epilepticus model

Patients with epilepsy have a high risk of developing psychiatric comorbidities, and there is a particular need for early detection of these comorbidities. Here, in an exploratory, hypothesis-generating approach, we aimed to identify microRNAs as potential circulatory biomarkers for epilepsy-associated psychiatric comorbidities across different rat models of epilepsy. The identification of distress-associated biomarkers can also contribute to animal welfare assessment. MicroRNA expression profiles were analyzed in blood samples from the electrical post-status epilepticus (SE) model. Preselected microRNAs were correlated with behavioral and biochemical parameters in the electrical post-SE model, followed by quantitative real-time PCR validation in three additional well-described rat models of epilepsy. Six microRNAs (miR-376a, miR-429, miR-494, miR-697, miR-763, miR-1903) were identified showing a positive correlation with weight gain in the early post-insult phase as well as a negative correlation with social interaction, saccharin preference, and plasma BDNF. Real-time PCR validation confirmed miR-203, miR-429, and miR-712 as differentially expressed with miR-429 being upregulated across epilepsy models. While readouts from the electrical post-SE model suggest different microRNA candidates for psychiatric comorbidities, cross-model analysis argues against generalizability across models. Thus, further research is necessary to compare the predictive validity of rodent epilepsy models for detection and management of psychiatric comorbidities.

Fear and anxiety differ in construal level and scope

The fear-anxiety distinction has been extensively discussed and debated among emotion researchers. In this study, we tested this distinction from a social-cognitive perspective. Drawing on construal level theory and regulatory scope theory, we examined whether fear and anxiety differ in their underlying level of construal and scope. Results from a preregistered autobiographical recall study (N = 200) that concerned either a fear situation or an anxiety situation and a large dataset from Twitter (N = 104,949) indicated that anxiety was associated with a higher level of construal and a more expansive scope than fear. These findings support the notion that emotions serve as mental tools that deal with different challenges. While fear prompts people to seek immediate solutions to concrete threats in the here and now (contractive scope), anxiety prompts them to deal with distant and unknown threats that require more expansive and flexible solutions (expansive scope). Our study contributes to a growing literature on emotions and construal level and points to interesting avenues for further research.

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.

Putting the "mental" back in "mental disorders": a perspective from research on fear and anxiety

Mental health problems often involve clusters of symptoms that include subjective (conscious) experiences as well as behavioral and/or physiological responses. Because the bodily responses are readily measured objectively, these have come to be emphasized when developing treatments and assessing their effectiveness. On the other hand, the subjective experience of the patient reported during a clinical interview is often viewed as a weak correlate of psychopathology. To the extent that subjective symptoms are related to the underlying problem, it is often assumed that they will be taken care of if the more objective behavioral and physiological symptoms are properly treated. Decades of research on anxiety disorders, however, show that behavioral and physiological symptoms do not correlate as strongly with subjective experiences as is typically assumed. Further, the treatments developed using more objective symptoms as a marker of psychopathology have mostly been disappointing in effectiveness. Given that "mental" disorders are named for, and defined by, their subjective mental qualities, it is perhaps not surprising, in retrospect, that treatments that have sidelined mental qualities have not been especially effective. These negative attitudes about subjective experience took root in psychiatry and allied fields decades ago when there were few avenues for scientifically studying subjective experience. Today, however, cognitive neuroscience research on consciousness is thriving, and offers a viable and novel scientific approach that could help achieve a deeper understanding of mental disorders and their treatment.