A5056573619- Mental Health Research Topics
- Personality Disorders and Psychopathology
- Mental Health and Psychiatry
- Child and Adolescent Psychosocial and Emotional Development
- Functional Brain Connectivity Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Mental Health Treatment and Access
- Eating Disorders and Behaviors
- Schizophrenia research and treatment
- Sexual function and dysfunction studies
- Obsessive-Compulsive Spectrum Disorders
- Sexuality, Behavior, and Technology
- Tryptophan and brain disorders
- Psychotherapy Techniques and Applications
- Cognitive Abilities and Testing
- Heavy Metal Exposure and Toxicity
- Digital Mental Health Interventions
- Early Childhood Education and Development
- Heavy metals in environment
- Mercury impact and mitigation studies
- Perfectionism, Procrastination, Anxiety Studies
- Child Abuse and Trauma
- Bullying, Victimization, and Aggression
- Resilience and Mental Health
- Treatment of Major Depression
Macquarie University
2014-2024
Lifespan
2024
Australian Hearing
2023
University of Minnesota
2016-2022
James J. Peters VA Medical Center
2022
Icahn School of Medicine at Mount Sinai
2022
Leiden University
2022
University of Missouri
2022
Stony Brook University
2022
University of Minnesota System
2016-2019
Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise contemporary efforts classify quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification psychopathology. A substantial literature indicates that is generally more dimensional than categorical. When the discreteness versus continuity treated as research question, opposed being decided matter tradition, evidence clearly supports hypothesis...
Network analysis is quickly gaining popularity in psychopathology research as a method that aims to reveal causal relationships among individual symptoms. To date, 4 main types of networks have been proposed: (a) association networks, (b) regularized concentration (c) relative importance and (d) directed acyclic graphs. The authors examined the replicability these analyses based on symptoms major depression generalized anxiety between within 2 highly similar epidemiological samples (i.e.,...
Objective: Diagnosis is a cornerstone of clinical practice for mental health care providers, yet traditional diagnostic systems have well-known shortcomings, including inadequate reliability, high comorbidity, and marked within-diagnosis heterogeneity. The Hierarchical Taxonomy Psychopathology (HiTOP) data-driven, hierarchically based alternative to classifications that conceptualizes psychopathology as set dimensions organized into increasingly broad, transdiagnostic spectra. Prior work has...
The Hierarchical Taxonomy of Psychopathology (HiTOP) is a scientific effort to address shortcomings traditional mental disorder diagnoses, which suffer from arbitrary boundaries between psychopathology and normality, frequent co-occurrence, heterogeneity within disorders, diagnostic instability. This paper synthesizes evidence on the validity utility thought detachment spectra HiTOP. These are composed symptoms maladaptive traits currently subsumed schizophrenia, other psychotic schizotypal,...
The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical effort to address limitations traditional mental disorder diagnoses. These include arbitrary boundaries between and normality, co‐occurrence in the modal case, heterogeneity presentation within disorders, instability diagnosis patients. This paper reviews evidence on validity utility disinhibited externalizing antagonistic spectra HiTOP, which together constitute a broad superspectrum. are composed elements subsumed...
The Hierarchical Taxonomy of Psychopathology (HiTOP) is a quantitative nosological system that addresses shortcomings traditional mental disorder diagnoses, including arbitrary boundaries between psychopathology and normality, frequent co‐occurrence, substantial heterogeneity within disorders, diagnostic unreliability over time across clinicians. This paper reviews evidence on the validity utility internalizing somatoform spectra HiTOP, which together provide support for an emotional...
Structural models of psychopathology provide dimensional alternatives to traditional categorical classification systems. Competing models, such as the bifactor and correlated factors are typically compared via statistical indices assess how well each model fits same data. However, simulation studies have found evidence for probifactor fit index bias in several psychological research domains. The present study sought extend this psychopathology, wherein has received much attention, but its...
Abstract Background The DSM-5 features hundreds of diagnoses comprising a multitude symptoms, and there is considerable repetition in the symptoms among diagnoses. This undermines what we can learn from studying individual diagnostic constructs because it obscure both disorder- symptom-specific signals. However, these lost opportunities are currently veiled symptom has not been quantified. Method descriptive study mapped 1419 described 202 adult psychopathology section II . Over million...
Article AbstractObjective: The present study examined the efficacy, safety, and durability of repeated ketamine infusions for treatment comorbid posttraumatic stress disorder (PTSD) treatment-resistant depression (TRD) in a sample veterans.Methods: Individuals with DSM-5-defined PTSD DSM-IV-defined major depressive (N = 15) received 6 intravenous (0.5 mg/kg) on Monday-Wednesday-Friday schedule over 12-day period from May 2015 to June 2016. Data outcome measures were collected before 24 hours...
We propose a novel developmentally informed framework to push research beyond focus on comorbidity between discrete diagnostic categories and move toward based the well-validated dimensional hierarchical structure of psychopathology. For example, large body speaks validity utility internalizing externalizing spectra as organizing constructs for common forms The act powerful explanatory variables that channel psychopathological effects genetic environmental risk factors, predict adaptive...
The full scope of the impact Great Recession on individuals’ mental health has not been quantified to date. In this study we aimed determine whether financial, job-related, and housing impacts experienced by individuals during recession predicted changes in occurrence symptoms depression, generalized anxiety, panic attacks, problematic alcohol use or other substance use. Longitudinal survey data ( n = 2,530 3,293) from national Midlife United States that were collected before (2003–2004)...
Unlike other life domains, sexual quality of (SQoL) has a negative relationship with age. This study disentangled the effect age in this from confounding sociocultural influences (e.g., period time which data were collected, and cohort differences) aimed to understand roles domains (i.e., frequency, perceived control, thought effort invested sex, number partners). We analyzed longitudinal Midlife United States (n = 6,278; range 20-93), collected between 1995 2013. Repeated measures linear...
Much of our knowledge about the relationships among domains psychopathology is built on diagnostic categories described in Diagnostic and Statistical Manual Mental Disorders (DSM), with relatively little research examining symptom-level structure psychopathology. The aim this study was to delineate a detailed hierarchical model psychopathology-from individual symptoms up general factor psychopathology-allowing both higher- lower-order dimensions depart from DSM. We explored hundreds spanning...
Pairwise Markov random field networks-including Gaussian graphical models (GGMs) and Ising models-have become the "state-of-the-art" method for psychopathology network analyses. Recent research has focused on reliability replicability of these networks. In present study, we compared existing suite methods maximizing quantifying stability consistency PMRF networks (i.e., lasso regularization, plus bootnet NetworkComparisonTest packages in R) with a set metrics directly comparing detailed...