Tretter Felix, Gebicke-Haerter Peter J
Kompetenzzentrum Sucht, Isar-Amper-Klinikum gemeinnützige, GmbH, Klinikum München-Ost, Haar, Germany.
Methods Mol Biol. 2012;829:567-92. doi: 10.1007/978-1-61779-458-2_36.
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.
精神疾病的分类在临床环境中一直是个问题。目前关于临床实践中的主要体系——《精神疾病诊断与统计手册》第四版(DSM-IV)和《国际疾病分类》第十版(ICD-10)的争论,促使人们试图用一些包含更多内表型和分子特征的体系来改进和取代这些方案。然而,这些疾病不仅需要更精确的诊断工具,还必须从其动态行为的角度进行更广泛的审视,这需要与它们的起源和发展相关的更精确的数据集。大脑研究中的这一巨大挑战必须通过新方法在生物系统的不同层面加以应对,包括改进脑电图、脑成像和分子生物学。所有这些方法都需要积累越来越难以解释的大数据集。特别是在分子层面,显然需要使用高度复杂的计算机程序来解决这些问题。显然,只有数学家、物理学家、生物学家和临床医生之间的跨学科合作,才能进一步增进我们对大脑复杂疾病的理解。