The classification of psychiatric disorders has always been a problem in clinical settings. The present debate about the major
systems in clinical practice, DSM-IV and ICD-10, has resulted in attempts to improve and replace those schemes by some that
include more endophenotypic and molecular features. However, these disorders not only require more precise diagnostic tools,
but also have to be viewed more extensively in their dynamic behaviors, which require more precise data sets related to their
origins and developments. This enormous challenge in brain research has to be approached on different levels of the biological
system by new methods, including improvements in electroencephalography, brain imaging, and molecular biology. All these methods
entail accumulations of large data sets that become more and more difficult to interpret. In particular, on the molecular
level, there is an apparent need to use highly sophisticated computer programs to tackle these problems. Evidently, only interdisciplinary
work among mathematicians, physicists, biologists, and clinicians can further improve our understanding of complex diseases
of the brain.