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脑震荡的动态变化:用因果循环图描绘病理生理学、持续性和恢复过程

The Dynamics of Concussion: Mapping Pathophysiology, Persistence, and Recovery With Causal-Loop Diagramming.

作者信息

Kenzie Erin S, Parks Elle L, Bigler Erin D, Wright David W, Lim Miranda M, Chesnutt James C, Hawryluk Gregory W J, Gordon Wayne, Wakeland Wayne

机构信息

Systems Science Program, Portland State University, Portland, OR, United States.

Department of Psychology and Neuroscience Center, Brigham Young University, Provo, UT, United States.

出版信息

Front Neurol. 2018 Apr 4;9:203. doi: 10.3389/fneur.2018.00203. eCollection 2018.

Abstract

Despite increasing public awareness and a growing body of literature on the subject of concussion, or mild traumatic brain injury, an urgent need still exists for reliable diagnostic measures, clinical care guidelines, and effective treatments for the condition. Complexity and heterogeneity complicate research efforts and indicate the need for innovative approaches to synthesize current knowledge in order to improve clinical outcomes. Methods from the interdisciplinary field of systems science, including models of complex systems, have been increasingly applied to biomedical applications and show promise for generating insight for traumatic brain injury. The current study uses causal-loop diagramming to visualize relationships between factors influencing the pathophysiology and recovery trajectories of concussive injury, including persistence of symptoms and deficits. The primary output is a series of preliminary systems maps detailing feedback loops, intrinsic dynamics, exogenous drivers, and hubs across several scales, from micro-level cellular processes to social influences. Key system features, such as the role of specific restorative feedback processes and cross-scale connections, are examined and discussed in the context of recovery trajectories. This systems approach integrates research findings across disciplines and allows components to be considered in relation to larger system influences, which enables the identification of research gaps, supports classification efforts, and provides a framework for interdisciplinary collaboration and communication-all strides that would benefit diagnosis, prognosis, and treatment in the clinic.

摘要

尽管公众对脑震荡(即轻度创伤性脑损伤)的认识不断提高,且关于该主题的文献也日益增多,但对于可靠的诊断措施、临床护理指南以及针对该病症的有效治疗方法,仍存在迫切需求。复杂性和异质性使研究工作变得复杂,并表明需要创新方法来整合现有知识,以改善临床结果。来自系统科学跨学科领域的方法,包括复杂系统模型,已越来越多地应用于生物医学应用,并有望为创伤性脑损伤提供深入见解。本研究使用因果循环图来可视化影响脑震荡损伤病理生理学和恢复轨迹的因素之间的关系,包括症状和缺陷的持续存在。主要输出是一系列初步的系统图,详细描绘了从微观层面的细胞过程到社会影响等多个尺度上的反馈回路、内在动态、外部驱动因素和枢纽。在恢复轨迹的背景下,对关键系统特征,如特定恢复性反馈过程和跨尺度连接的作用进行了研究和讨论。这种系统方法整合了跨学科的研究成果,并允许在更大的系统影响背景下考虑各个组成部分,从而能够识别研究差距、支持分类工作,并为跨学科合作与交流提供框架——所有这些进展都将有益于临床诊断、预后和治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/5893805/355724fe9797/fneur-09-00203-g001.jpg

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