by Chuck Ruby, Ph.D.

A recent Medscape article reported the results of a study that concluded "...patients with depression can be subdivided into four biotypes defined by distinct patterns of dysfunctional connectivity in limbic and frontostriatal networks...." The study is complete with a litany of technical language and statistical analyses, along with very colorful charts and graphs, to once and for all prove that depression has biomarkers that can be used to diagnose and treat it.

But, all this fanfare obscures one important thing hiding in plain sight: Depression is not a real brain disease! Neither are any of the other 300 or so mental disorder categories. Depression is a natural and expected human reaction to emotional pain and at best is a metaphorical disease. It shouldn’t be treated as if it were a clinical or medical problem, and the people experiencing it shouldn’t be treated like patients. Yet this study is an example of how a curtain of complex technical and clinical jargon hides a reality that the devotees of this disease model of mental illness don’t want revealed. Let’s pull the curtain back and see what’s hiding behind it.

First, these kinds of studies come on the heels of the 2013 pronouncement by the Director of the National Institute of Mental Health (NIMH) that the still-in-use-today Diagnostic and Statistical Manual of Mental Disorders (DSM) is invalid and that a new diagnostic system needed to be developed from the ground up using brain scans to identify valid mental disorders rather than using symptom pictures. This study is an attempt to do just that. Yet the invalidity of the DSM is not the only problem here.

The bigger problem is that, as I said earlier, depression is not a real brain disease. The claim of disease is an a priori assumption, based on nothing. In this case “depression” is anointed as a disease at the outset (just because) and then it is discussed as if we all agree and that “biomarkers” can be used to diagnose it. But a “biomarker” is not the same as evidence of disease. The brain is “plastic”, in that it changes with use, and chronic use will result in more permanent change in both structure and activity levels. The fact that certain human experiences are accompanied by signature brain patterns merely reflects this fact. Such brain correlates of human behavior are not evidence of disease. Still, this concept of “biomarker” is used in order to give the impression of disease.

So given this, is it really that surprising to find different brain patterns in people who are having different types of depressive experiences? How is this a justification for describing those brain patterns as “abnormal connectivity”? The article also uses the phrases “reduced connectivity” and “hyperconnectivity” to give the same impression of dysfunction (disease). Similar to how the term “biomarker” implies disease when it really has nothing to do with disease, using the phrase “reduced connectivity” merely mean less activity, not some kind of defect in the connection between brain cells or circuits. And “hyperconnectivity” just means the particular brain areas are more active. This is linguistic sleight of hand, making it appear the brain activity in question is abnormal (diseased), when in fact, there is no such evidence of abnormality, dysfunction, or disease.

These kinds of studies will continue. But unless they come up with evidence (remember, we’re supposed to be scientific) of actual disease in the brain, the only thing they’ll demonstrate is that human activity affects brain patterns. But that is something we’ve known already for a long time. Of course, if they do find evidence of brain disease, we already have a medial specialty for that. It is called neurology.