Department of Psychology, University of Nevada, Las Vegas, NV, 89154, USA.
Department of Psychiatry and Behavioral Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
Arch Clin Neuropsychol. 2023 Jul 25;38(5):690-698. doi: 10.1093/arclin/acad001.
Assessment of post-concussion symptoms is implemented at secondary, post-secondary, and professional levels of athletics. Network theory suggests that disorders can be viewed as a set of interacting symptoms that amplify, reinforce, and maintain one another. Examining the network structure of post-concussion symptoms may provide new insights into symptom comorbidity and may inform targeted treatment. We used network analysis to examine the topology of post-concussion symptoms using the Post-Concussion Symptom Scale (PCSS) in high school athletes with recent suspected sport-related concussion.
Using a cross-sectional design, the network was estimated from Post Concussion Symptom Scale scores from 3,292 high school athletes, where nodes represented symptoms and edges represented the association between symptoms. Node centrality was calculated to determine the relative importance of each symptom in the network.
The network consisted of edges within and across symptom domains. "Difficulty concentrating" and "dizziness" were the most central symptoms in the network. Although not highly central in the network, headaches were the highest rated symptom.
The interconnectedness among symptoms supports the notion that post-concussion symptoms are interrelated and mutually reinforcing. Given their central role in the network, "difficulty concentrating" and "dizziness" are expected to affect the activation and persistence of other post-concussion symptoms. Interventions targeting difficulties with concentration and dizziness may help alleviate other symptoms. Our findings could inform the development of targeted treatment with the aim of reducing overall symptom burden. Future research should examine the trajectory of post-concussion symptom networks to advance the clinical understanding of post-concussive recovery.
在中学、大学后和专业运动水平上实施脑震荡后症状评估。网络理论表明,疾病可以被视为一组相互作用的症状,这些症状相互放大、增强和维持。检查脑震荡后症状的网络结构可以为症状共病提供新的见解,并为有针对性的治疗提供信息。我们使用网络分析,使用最近疑似与运动相关的脑震荡的高中生的脑震荡后症状量表(PCSS)来检查脑震荡后症状的拓扑结构。
采用横断面设计,从 3292 名高中生的脑震荡后症状量表评分中估计网络,其中节点代表症状,边缘代表症状之间的关联。计算节点中心度以确定网络中每个症状的相对重要性。
网络由症状域内和跨域的边缘组成。“注意力集中困难”和“头晕”是网络中最重要的症状。尽管在网络中不是高度中心的,但头痛是评分最高的症状。
症状之间的相互联系支持脑震荡后症状相互关联和相互增强的观点。鉴于它们在网络中的核心作用,“注意力集中困难”和“头晕”预计会影响其他脑震荡后症状的激活和持续存在。针对注意力和头晕困难的干预措施可能有助于减轻其他症状。我们的发现可以为有针对性的治疗提供信息,旨在减轻整体症状负担。未来的研究应该检查脑震荡后症状网络的轨迹,以推进对脑震荡后恢复的临床理解。