Quantitative EEG Parameters for Prediction of Outcome in Severe Traumatic Brain Injury: Development Study

Antti Tolonen, Mika Särkelä, Riikka Takala, Ari Katila, Janek Frantzén, Jussi Posti, Markus Müller, Mark van Gils, Olli Tenovuo

Research output: Contribution to journalArticle

6 Citations (Scopus)


Monitoring of quantitative EEG (QEEG) parameters in the intensive care unit (ICU) can aid in the treatment of traumatic brain injury (TBI) patients by complementing visual EEG review done by an expert. We performed an explorative study investigating the prognostic value of 59 QEEG parameters in predicting the outcome of patients with severe TBI. Continuous EEG recordings were done on 28 patients with severe TBI in the ICU of Turku University Hospital. We computed a set of QEEG parameters for each patient, and correlated these to patient outcome, measured by dichotomized Glasgow Outcome Scale (GOS) at a follow-up visit between 6 and 12 months, using area under receiver operating characteristic curve (AUC) as a nonlinear correlation measure. For 17 of the 59 QEEG parameters (28.8%), the AUC differed significantly from 0.5, most of these parameters measured EEG power or variability. The best QEEG parameters for outcome prediction were alpha power (AUC = 0.87, P <.01) and variability of the relative fast theta power (AUC = 0.84, P <.01). The results of this study indicate that QEEG parameters provide useful information for predicting outcome in severe TBI. Novel QEEG parameters with potential in outcome prediction were found, the prognostic value of these parameters should be confirmed in later studies. The results also provide further evidence of the usefulness of parameters studied in preexisting studies.
Original languageEnglish
Pages (from-to)248-257
Number of pages10
JournalClinical EEG and Neuroscience
Issue number4
Early online date27 Nov 2017
Publication statusPublished - 2018
MoE publication typeA1 Journal article-refereed



  • traumatic brain injury
  • continuous electroencephalography
  • quantitative electroencephalography
  • prognosis
  • outcome

Cite this