Progress in achieving quantitative classification of psychopathology

Area of Science:

• Psychiatry
• Psychology
• Data Science

Background:

• Traditional expert-based classification systems for psychopathology have limitations.
• Contemporary research emphasizes quantitative and empirical methods for classification.

Purpose of the Study:

• To review progress in developing a quantitative, empirical classification of psychopathology.
• To introduce the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium and its objectives.

Main Methods:

• Review of substantial empirical literature on psychopathology's structure.
• Analysis of evidence supporting dimensional and hierarchical models over categorical ones.
• Examination of the utility of empirically derived constructs.

Main Results:

• Evidence strongly supports a dimensional, rather than categorical, view of psychopathology.
• Psychopathology dimensions can be organized hierarchically, from broad to specific symptom clusters.
• This quantitative approach addresses the problem of comorbidity by modeling co-occurrence patterns.

Conclusions:

• The dimensional and hierarchical structure of psychopathology is well-supported by empirical evidence.
• The Hierarchical Taxonomy of Psychopathology (HiTOP) provides a clinically useful, empirically-based framework.
• The HiTOP Consortium aims to advance research, clinical utility, and assessment tools for psychopathology.