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The Hierarchical Taxonomy of Psychopathology (HiTOP) represents a crucial step forward in the empirical refinement of psychiatric nosology. Although grounded in factor analyses of clinical symptoms and affiliated traits, HiTOP encourages research using measures of other types, including neural-system variables, to clarify coherent processes contributing to the hierarchical structure of psychopathology. However, systematic strategies for interfacing HiTOP dimensions with neural-system variables have not been put forth. We discuss reasons for considering neurobiological systems in relation to HiTOP (i.e. 'why') and propose alternative strategies that might be used to develop an interface between HiTOP and neurobiology (i.e. 'how'). In particular, we highlight potential advantages and limitations of establishing this interface through reference to (i) HiTOP dimensions themselves, or conventional personality trait models linked to HiTOP; (ii) alternative trait constructs designed to link conventional personality models and neurobiological measures; and (iii) mechanistic models of neurobiological processes relevant to HiTOP constructs, derived from computational modelling. We discuss the importance of establishing an interface between HiTOP and neurobiology to develop a more comprehensive, mechanistic understanding of psychopathology and to guide the refinement of the HiTOP model. Such efforts have the potential to guide the development and provision of effective, individualized psychological treatment.
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http://dx.doi.org/10.1002/pmh.1460 | DOI Listing |
Behav Res Ther
August 2025
Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands; Research Group of Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium. Electronic address:
Previous research has linked biased and inflexible interpretations of ambiguous information to various forms of psychopathology. However, existing studies typically investigate these interpretation processes within individual diagnostic categories, overlooking the significant symptom overlap and comorbidity among mental health conditions. Consequently, the extent to which biased and inflexible interpretations represent broad transdiagnostic or more narrowly specific risk factors remains unclear.
View Article and Find Full Text PDFActa Psychol (Amst)
September 2025
Department of Clinical Psychology, School of Behavioral Sciences and Mental Health, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Objectives: This study aimed to evaluate the structural validity of the somatoform spectrum within the context of the Hierarchical Taxonomy of Psychopathology (HiTOP) model in patients with chronic low back pain.
Methods: 233 patients who were diagnosed with chronic low back pain (77.3 % female) completed the Oswestry Disability Index (ODI), the Health Anxiety Inventory-18 (HAI-18), the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF), and the Patient Health Questionnaire (PHQ-15).
Perspect Psychol Sci
July 2025
Department of Psychiatry, Stony Brook University.
Cognitive dysfunction is essential to conceptualizing, defining, and assessing much of psychopathology. Despite this prominence, cognitive abilities are not included in the prevailing empirically based classification system: the Hierarchical Taxonomy of Psychopathology (HiTOP). This gap exists because the factor-analytic literature the HiTOP is based on has solely used reporter measures rather than neuropsychological tests needed to measure cognitive ability.
View Article and Find Full Text PDFJ Affect Disord
July 2025
Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Australia.
Background: Quantitative attempts to improve syndrome specificity typically produce large heterogenous subgroupings, impacting the validity of treatment and research targets. Assessing barriers to the valid application of existing methods and examining improvements from an interpretable projection-based clustering alternative may improve the precision and reproducibility of our research targets and classification systems.
Methods: This exploratory, cross-sectional, study recruited 2820 participants aged 12-to-25 years, from primary-healthcare services in Australia, between November 2018 and July 2023.
Cureus
May 2025
Psychology, Instituto de Bienestar Socioemocional, Universidad del Desarrollo, Concepción, CHL.
Psychiatric nosology, traditionally represented by the International Classification of Diseases (ICD) and the Diagnostic and Statistical Manual of Mental Disorders (DSM), is based on categorical diagnoses that have not met the current needs of clinicians. The so-called transdiagnostic approach appears to offer promise for classifying mental disorders. In the present study, our objective was to conduct a descriptive analysis of this approach in psychiatry based on the current literature.
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