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从可塑性到复杂性:一种新的精神病学诊断方法。

From plasticity to complexity: a new diagnostic method for psychiatry.

作者信息

Peled Avi

机构信息

Sha'ar Menashe Mental Health Center, Mobile Post Hefer, 38814 Hefer, Hadera, Israel.

出版信息

Med Hypotheses. 2004;63(1):110-4. doi: 10.1016/j.mehy.2004.02.010.

Abstract

There is growing dissatisfaction regarding the available diagnostic systems for psychiatric disorders (DSM, ICD). Psychiatrists acknowledge that though mental disease reflects brain disorders, the descriptive and symptom based nature of psychiatric diagnosis bears no relation to brain functions. According to Helmut's article published in the October 2003 issue of Science, in the coming decade researchers and psychiatrists will be called upon to propose a basis for the psychiatric diagnostic system of the future. I propose a new etiology-oriented diagnostic system for psychiatry by integrating two recently emerging bodies of knowledge, one regarding plasticity and the other involving complex systems. Plasticity refers to all brain processes involved in dynamic alterations within communicating neuronal ensembles or networks, in the brain. Complexity refers to certain formulations from system theories relevant to brain dynamics and plasticity. It is proposed to divide plasticity processes into three types based on time domains: (1) "developmental plasticity", (2) "tuning plasticity" and (3) "fast stabilizing plasticity". Each type of plasticity is related to different complexity models achieved by the brain, developmental plasticity is life-long brain organization, it is related to state-space configurations molded into brain representations internalized via processes such as Hebbian learning. Tuning plasticity is related to "matching complexity" a measure of adaptability between internal configurations in the brain-system and externally originating event stimuli. Fast stabilizing plasticity is related to "neural complexity" a measure of neural network integration in the brain. Neural complexity meets the mental requirement to extract important features from different sensory inputs and to simultaneously generate coherent perceptual and cognitive states, thus balancing specialized segregated brain processes with coherent globally integrated whole brain activity. Mental disorders can be reconceptualized as disorders of plasticity resulting in disturbances of state-space brain configurations, matching and neural complexities. Personality disorders result from altered internal representations of the psychosocial environment. Depression and anxiety have been recently linked to alterations of adaptive neuronal plasticity thus reconceptualized as disorders of matching complexity. Finally, psychoses, including schizophrenia spectrum disorders, are reconceptualized as disturbances of neural complexity resulting in altered fast stabilizing plasticity. The new diagnostic system generates testable predictions regarding diagnosis and treatments of mental disorders which may be the future of psychiatry.

摘要

人们对现有的精神疾病诊断系统(《精神疾病诊断与统计手册》(DSM)、《国际疾病分类》(ICD))越来越不满。精神科医生承认,虽然精神疾病反映了脑部疾病,但基于描述和症状的精神科诊断本质与脑功能并无关联。根据赫尔穆特发表在2003年10月《科学》杂志上的文章,在未来十年,研究人员和精神科医生将被要求为未来的精神科诊断系统提出一个基础。我通过整合两个最近出现的知识体系,提出了一种新的面向病因的精神科诊断系统,一个是关于可塑性,另一个涉及复杂系统。可塑性是指大脑中参与通信神经元集合或网络内动态变化的所有脑过程。复杂性是指与脑动力学和可塑性相关的系统理论中的某些公式。建议根据时域将可塑性过程分为三种类型:(1)“发育可塑性”,(2)“调谐可塑性”和(3)“快速稳定可塑性”。每种可塑性类型都与大脑实现的不同复杂性模型相关,发育可塑性是终身的脑组织,它与通过赫布学习等过程内化到脑表征中的状态空间配置相关。调谐可塑性与“匹配复杂性”相关,“匹配复杂性”是衡量脑系统内部配置与外部起源事件刺激之间适应性的指标。快速稳定可塑性与“神经复杂性”相关,“神经复杂性”是衡量大脑中神经网络整合的指标。神经复杂性满足了从不同感觉输入中提取重要特征并同时产生连贯的感知和认知状态的心理需求,从而在专门分离的脑过程与连贯的全局整合全脑活动之间取得平衡。精神障碍可以重新概念化为可塑性障碍,导致脑状态空间配置、匹配和神经复杂性的紊乱。人格障碍源于心理社会环境内部表征的改变。抑郁症和焦虑症最近与适应性神经元可塑性的改变有关,因此被重新概念化为匹配复杂性障碍。最后,包括精神分裂症谱系障碍在内的精神病被重新概念化为神经复杂性紊乱,导致快速稳定可塑性改变。新的诊断系统对精神障碍的诊断和治疗产生了可测试的预测,这可能是精神病学的未来。

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