Depression or ADHD? Neatly delineated diagnoses fail to do justice to the infinitely complex reality that they refer to, argues Eiko Fried in a new paper for JAMA Psychiatry. His proposal: to map the underlying mechanisms of mental health problems using a Mental Health Atlas.
For decades, psychiatry has struggled to classify mental disorders. Diagnostic manuals such as the DSM are essential for clinical care, research, and policy, but they are also widely criticized: diagnoses are often very heterogeneous, overlap heavily with one another, and do not always reliably guide treatment.
No clear-cut categories
In his new paper Mental Disorders as Homeostatic Property Clusters: A Narrative Review, Eiko Fried shows that these problems are not unique to psychiatry. Biology faced similar challenges for centuries when trying to define what a 'species' is. Modern biologists now largely agree that species are not perfectly clear-cut categories found in nature. Instead, they are best understood as loose 'property clusters'-groups of characteristics that tend to go together because they influence one another, even if there are many gray areas and exceptions.
Messy patterns
Drawing on this idea, Eiko argues that mental disorders can be understood in the same way: as clusters of many interrelated biological, psychological, and social features. These include symptoms, but also personality traits, life circumstances, brain functioning, stress, social support, and many other factors. Because these features are only probabilistically related, mental health problems naturally form messy, overlapping patterns rather than neat categories. As a result, the paper introduce a vision for building a 'Mental Health Atlas'-a large map of how different mental health-relevant features relate to one another across people and over time. Rather than searching for perfectly clean diagnoses, this approach focuses on understanding why certain problems tend to cluster together, how these clusters change over time, and what underlying mechanisms hold them together.
Pluralistisch approach
This perspective helps explain why current diagnostic systems have so many well-known limitations, while also showing that these limitations are not a failure of psychiatry but a predictable consequence of how mental health problems are structured. It supports a more pluralistic approach to classification: different diagnostic systems may be useful for different purposes (e.g., clinical care, research, or policy), rather than expecting one universal system to work for everyone.
