Scientific article
Open access

Elevated and slowed EEG oscillations in patients with post-concussive syndrome and chronic pain following a motor vehicle collision

Published inBrain sciences, vol. 11, no. 5, 537
Publication date2021-04-24
First online date2021-04-24

(1) Background: Mild traumatic brain injury produces significant changes in neurotransmission including brain oscillations. We investigated potential quantitative electroencephalography biomarkers in 57 patients with post-concussive syndrome and chronic pain following motor vehicle collision, and 54 healthy nearly age- and sex-matched controls. (2) Methods: Electroencephalography processing was completed in MATLAB, statistical modeling in SPSS, and machine learning modeling in Rapid Miner. Group differences were calculated using current-source density estimation, yielding whole-brain topographical distributions of absolute power, relative power and phase-locking functional connectivity. Groups were compared using independent sample Mann–Whitney U tests. Effect sizes and Pearson correlations were also computed. Machine learning analysis leveraged a post hoc supervised learning support vector non-probabilistic binary linear kernel classification to generate predictive models from the derived EEG signatures. (3) Results: Patients displayed significantly elevated and slowed power compared to controls: delta (p = 0.000000, r = 0.6) and theta power (p < 0.0001, r = 0.4), and relative delta power (p < 0.00001) and decreased relative alpha power (p < 0.001). Absolute delta and theta power together yielded the strongest machine learning classification accuracy (87.6%). Changes in absolute power were moderately correlated with duration and persistence of symptoms in the slow wave frequency spectrum (<15 Hz). (4) Conclusions: Distributed increases in slow wave oscillatory power are concurrent with post-concussive syndrome and chronic pain.

  • EEG
  • Car accident
  • Chronic pain
  • Concussion
  • Diffuse brain injury
  • Electroencephalography
  • Motor vehicle collision
  • Post-concussive syndrome
  • Support vector machine
Citation (ISO format)
BUCHANAN, Derrick Matthew, ROS, Tomas, NAHAS, Richard. Elevated and slowed EEG oscillations in patients with post-concussive syndrome and chronic pain following a motor vehicle collision. In: Brain sciences, 2021, vol. 11, n° 5, p. 537. doi: 10.3390/brainsci11050537
Main files (1)
Article (Published version)
ISSN of the journal2076-3425

Technical informations

Creation12/07/2021 8:57:00 AM
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