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Understanding Executive Function and Dysfunction in Schizophrenia through Cortical Oscillatory Dynamics

通过皮质振荡动力学了解精神分裂症的执行功能和功能障碍

基本信息

批准号：
262467681
负责人：
Professorin Dr. Brigitte Rockstroh
金额：
--
依托单位：
Department of Psychology
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2014
资助国家：
德国
起止时间：
2013-12-31 至 2017-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/262467681?language=en
关键词：
Understanding Executive Function Dysfunction Schizophrenia

项目摘要

Cognitive performance is viewed as essential to daily psychosocial function in schizophrenia, with executive function (EF) considered one of the most critical areas of deficit. Understanding the nature of EF deficits and their role in manifest psychopathology is still considered as limited, handicapped by problems of concept and method. Hemodynamic and electromagnetic imaging results in healthy individuals and schizophrenia patients have suggested brain regions and activity patterns as involved in EF, but the mechanism of translation of neuronal network communication into EF remains unclear. Understanding mechanisms seem critical to understanding dysfunctional EF in schizophrenia. The proposed project seeks to identify and model mechanisms supporting EF by mapping neuronal network communication via oscillatory dynamics in healthy individuals and schizophrenia patients. Magneto- and electroencephalographic activity will be monitored in tasks selected to activate EF, and advanced methods are combined for mapping oscillatory dynamics. Hypotheses include (1) oscillatory dynamics are key in communication between (global) and within (local) function-specific neuronal circuits spanning prefrontal and posterior regions subserving EF, (2) neuronal synchrony between defined regions reflects an active sampling mechanism thought to be fundamental in coordinated processes, (3) task-related dynamics vary with baseline state such that patterns of task-related brain function and behavioral performance can be predicted, (4) the relationship between ongoing and task-related oscillatory dynamics is disrupted in schizophrenia, contributing to deficient active sampling capacity and deficient EF. Task selection is based on EF taxonomies and published recommendations for distinguishing relevant facets of EF, on evidence connecting MEG and EEG measures to the working memory maintenance and interference control facets of EF on which we focus here, and on evidence from our work supporting the hypothesis of oscillatory dynamics as a manifestation of the respective functions. We expect this work to support conceptual modeling of the nature and organization of EF, to clarify the role of oscillatory activity in both normal and abnormal cognition, and to improve understanding of disruption in neuronal network communication in schizophrenia associated with dysfunctional cognition. This will in turn support modeling of the critical oscillatory dynamics potentially fundamental to the development of schizophrenia psychopathology. Such findings would have both diagnostic and therapeutic applications.

认知表现被认为是精神分裂症患者日常心理社会功能的关键，执行功能(EF)被认为是最关键的缺陷领域之一。对EF缺陷的本质及其在显性精神病理学中的作用的理解仍然被认为是有限的，受到概念和方法问题的阻碍。在健康人和精神分裂症患者身上的血流动力学和电磁成像结果表明，EF涉及脑区和活动模式，但神经元网络通信到EF的转换机制尚不清楚。了解机制似乎对了解精神分裂症患者的EF功能障碍至关重要。这项拟议的项目试图通过在健康个体和精神分裂症患者中通过振荡动力学映射神经元网络通信来识别和模拟支持EF的机制。在选择激活EF的任务中，将监测磁电和脑电活动，并结合先进的方法绘制振荡动力学图。假设包括：(1)振荡动力学在(全局)和(局部)功能特异性神经元回路之间的沟通中起关键作用，(2)在辅助EF的前额区和后区，(2)定义区域之间的神经元同步反映了被认为是协调过程的基础的主动采样机制；(3)任务相关的动力学随基线状态而变化，从而可以预测任务相关的脑功能和行为表现的模式；(4)精神分裂症患者正在进行的和任务相关的振荡动力学之间的关系被破坏，这是导致主动采样能力不足和EF不足的原因之一。任务选择是基于EF分类和发表的区分EF相关方面的建议，基于将脑磁图和EEG测量与我们这里重点关注的EF的工作记忆维持和干扰控制方面联系起来的证据，以及我们工作中支持振荡动力学假说的证据，作为各自功能的表现。我们期望这项工作支持EF的性质和组织的概念模型，阐明振荡活动在正常和异常认知中的作用，并提高对精神分裂症患者与认知功能障碍相关的神经网络通信中断的理解。这反过来将支持对精神分裂症精神病理学发展潜在基础的关键振荡动力学的建模。这些发现将具有诊断和治疗两方面的应用。