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Taxonomic classification of mental disorders

Published online by Cambridge University Press:  01 September 2022

M. Šablevičius*
Affiliation:
Private doctor‘s psychiatrist‘s practice, Private Doctor‘s Psychiatrist‘s Practice, Vilnius, Lithuania
*
*Corresponding author.

Abstract

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Introduction

DSM-5, ICD-10, and ICD-11 classifications can be described as „incoherent“. Psychopathology depends on “time of damage and resilience” ratio. Continuums of mental disorders compose a table, like a periodic table of chemical elements. Similar psychopathology can have different neurobiological origin, and vice versa.

Objectives

Current classifications of mental disorders ICD-10, DSM-5, as well as the new ICD-11 being developed, do not show interrelations in pathogenesis between groups of mental disorders. This is a weak point of these classifications, although they serve a good purpose in relation to medical statistics and encoding requirements.

Methods

Taxonomic classification of mental disorders proposed in this empirical study reveals interrelations between diagnostic categories of mental disorders. Classification as an object of this empirical study is initially developed on author’s observation of psychopathology in clinical practice. It also relies on scientific data of genetics and neurobiology of mental disorders.

Results

The classification is based on two axes system. First axis reflects the time of damage of neural tissue in specific stage, i.e. neuron body genesis, neuron growths genesis, synaptic pruning or further neural information modeling. The second axis is connected with resilience. The two axes system includes in one continuum and connects into one classification table (Figure 1) almost all diagnostic groups from ICD-10 or DSM-5 (with two exclusions: “organic” type mental disorders and pathology of myelination process).

Conclusions

This empirically derived concept of classification could be used in clinical practice in differential diagnosis, discovering heterogeneities in patients with same diagnostic “code”, planning treatment strategies, predicting course of mental disorders.

Disclosure

No significant relationships.

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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