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Author Notes:

Correspondence: Erin S. Kenzie, eerin.kenzie@pdx.edu

Author contributions: EK was the lead modeler and lead author.

EP and WW contributed substantially to the model and article.

EK, EP, and WW conducted expert interviews and literature review.

EB, DW, ML, JC, GH, and WG provided critical review and revision of the model and article.

WW also provided systems modeling guidance.

Acknowledgments: The authors would like to thank the Brain Trauma Foundation, the Brain Trauma Evidence-based Consortium, and the associated team of expert clinicians and researchers for iterative feedback and support during this multi-year collaboration.

The authors would also like to thank the TBI experts they interviewed, as well as Nancy Carney for initiating this project.

Conflict of interest statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the US Army Contracting Command, Aberdeen Proving Ground, Natick Contracting Division, Stanford University, the Brain Trauma Foundation, U.S. Department of Veterans Affairs or the United States Government.

Subjects:

Research Funding:

This material is based upon work supported by the US Army Contracting Command, Aberdeen Proving Ground, Natick Contracting Division, through a contract awarded to Stanford University (W911QY-14-C-0086), and a subcontract awarded to the Brain Trauma Foundation.

This material is in part the result of work supported with resources and the use of facilities at the VA Portland Health Care System, the VA Career Development Award #IK2 BX002712, and Portland VA Research Foundation (MML).

In part, the Brain Imaging and Behavior Lab that EB directs was supported by the Army Medical Research and Material Command under Award No. W81XWH-13-2-0095 (Chronic Effects of Neurotrauma Consortium).

Also, EB co-directs the Neuropsychological Assessment and Research Laboratory at Brigham Young University which includes forensic consultation.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Clinical Neurology
  • Neurosciences
  • Neurosciences & Neurology
  • concussion
  • traumatic brain injury
  • systems science
  • complexity
  • recovery
  • causal-loop diagram
  • models of injury
  • systems medicine
  • TRAUMATIC BRAIN-INJURY
  • MAJOR DEPRESSIVE DISORDER
  • DIFFUSE AXONAL INJURY
  • DEFAULT MODE NETWORK
  • SYSTEMS SCIENCE
  • COMPLEX WORLD
  • RESTING-STATE
  • CONNECTIVITY
  • SYMPTOMS
  • MILITARY

The Dynamics of concussion: Mapping Pathophysiology, Persistence, and recovery With causal-loop Diagramming

Tools:

Journal Title:

Frontiers in Neurology

Volume:

Volume 9

Publisher:

, Pages 203-203

Type of Work:

Article | Final Publisher PDF

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.

Copyright information:

© 2018 Kenzie, Parks, Bigler, Wright, Lim, Chesnutt, Hawryluk, Gordon and Wakeland.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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