Multidomain concussion symptoms in adolescents: A network analysis.

Area of Science:

• Neuroscience
• Clinical Psychology
• Biostatistics

Background:

• Concussion is a complex brain injury with diverse symptoms affecting multiple domains.
• Network analysis offers a robust method for understanding symptom interrelationships in clinical populations.

Purpose of the Study:

• To investigate the relationships between clinical assessments and multidomain symptom reports in adolescents with concussion using network analysis.
• To identify central symptoms and interdomain connections within a concussion patient sample.

Main Methods:

• Network analysis was applied to symptom data from 326 adolescent concussion patients (aged 10-21).
• Data included the Post-Concussion Symptom Scale (PCSS) and Vestibular-Ocular Motor Screening (VOMS) tool.
• Models examined symptom relationships individually and when combining PCSS and VOMS data.

Main Results:

• Dizziness and sadness emerged as the most central symptoms in the network.
• Significant interdomain relationships were found, such as irritability with mental fogginess, and dizziness with headache and vision problems.
• Community analysis supported domain-specific (vestibular) and symptom-specific (dizziness) groupings within the VOMS assessment.

Conclusions:

• Focusing on symptom interrelationships, like the impact of dizziness on emotional symptoms, can guide more targeted concussion treatments.
• Grouping VOMS assessments by symptom and item may better represent underlying concussion-related impairments.