The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR) adheres to a categorical model of psychiatric diagnosis. This approach seeks to establish the presence or absence of specific mental disorders based on designated criteria. However, the limitations of such a categorical model are evident when one considers that mental health conditions do not exist in discrete, isolated categories; rather, they manifest along a continuum or dimensional spectrum.

The existing categorical approach to diagnosis is complicated by the heterogeneity of symptomatology within each diagnostic category. To elaborate, diagnostic criteria can be met in multiple ways, leading to a situation where two individuals could receive the same diagnosis without sharing a single symptom. For instance, according to the DSM-5-TR, a diagnosis of Attention-Deficit/Hyperactivity Disorder (ADHD) could be conferred if a person exhibits, almost every day for at least six months, symptoms such as:

Or alternatively,

Patients rarely fit neatly into such delineated categories, rendering the categorical model less than ideal for capturing the complexities of mental health conditions.

In light of these limitations, our clinic employs a more nuanced, "dimensional" diagnostic framework. This is in alignment with initiatives like the National Institute of Mental Health's Research Domain Criteria (RDoC) project. Incorporating a dimensional approach allows for a more comprehensive and flexible understanding of mental health. Specifically, it accommodates the nuances of overlapping diagnoses and provides a more elastic interpretation of the boundaries that separate typical psychological functioning from pathology. This multidimensional perspective enhances our ability to devise individualized, effective treatment plans that better cater to the complexities of each patient's mental health profile.

What is Research Domain Criteria (RDoC) project?

The Research Domain Criteria (RDoC) initiative was established to enhance our comprehension of mental disorders by incorporating multidisciplinary perspectives and methodologies. The existing diagnostic frameworks for mental disorders primarily rely on clinical observations, focusing on the identification of symptom clusters. This traditional approach has limitations as it fails to integrate insights from contemporary integrative neuroscience research, thereby hindering advancements in the scientific understanding of mental disorders through neuroscientific paradigms.

Moreover, mental disorders are often complex and multidimensional phenomena, encompassing a range of domains such as cognition, mood, and social interactions. Rather than existing as discrete categories, traits related to these disorders can often be conceptualized as existing on a continuum, stretching from normative functioning to pathological extremes. It is also noteworthy that comorbidity—or the concurrent presence of multiple mental disorders—may arise from shared etiological factors and could potentially reflect overlapping pathophysiological processes.

Given these complexities, the RDoC initiative was specifically conceived to catalyze research endeavors that employ dimensional assessments and draw from multiple academic disciplines. The aim is to unravel the intricacies of human behavior, specifically focusing on how deviations in behavior may culminate in mental illness. By doing so, RDoC aims to bridge the gap between clinical observations and neurobiological underpinnings, fostering a more nuanced and comprehensive understanding of mental disorders.

Principles of RDoC-Informed Dimensional Analysis

Dimensional and Categorical Frameworks