Literature DB >> 29172703

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

Antti Tolonen1, Mika O K Särkelä2, Riikka S K Takala3,4, Ari Katila3,4, Janek Frantzén4, Jussi P Posti3,4, Markus Müller4, Mark van Gils1, Olli Tenovuo3,4.   

Abstract

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.

Entities:  

Keywords:  continuous electroencephalography; outcome; prognosis; quantitative electroencephalography; traumatic brain injury

Mesh:

Year:  2017        PMID: 29172703     DOI: 10.1177/1550059417742232

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  14 in total

1.  Detection of Moderate Traumatic Brain Injury from Resting-State Eye-Closed Electroencephalography.

Authors:  Chi Qin Lai; Haidi Ibrahim; Aini Ismafairus Abd Hamid; Mohd Zaid Abdullah; Azlinda Azman; Jafri Malin Abdullah
Journal:  Comput Intell Neurosci       Date:  2020-03-11

2.  Theta-Alpha Variability on Admission EEG Is Associated With Outcome in Pediatric Cerebral Malaria.

Authors:  Alexander Andrews; Tesfaye Zelleke; Dana Harrar; Rima Izem; Jiaxiang Gai; Douglas Postels
Journal:  J Clin Neurophysiol       Date:  2021-05-27       Impact factor: 2.177

3.  IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit.

Authors:  Steven N Baldassano; Shawniqua Williams Roberson; Ramani Balu; Brittany Scheid; John M Bernabei; Jay Pathmanathan; Brian Oommen; Damien Leri; Javier Echauz; Michael Gelfand; Paulomi Kadakia Bhalla; Chloe E Hill; Amanda Christini; Joost B Wagenaar; Brian Litt
Journal:  IEEE J Biomed Health Inform       Date:  2020-01-13       Impact factor: 5.772

4.  Unexpected good outcome in severe cerebral fat embolism syndrome.

Authors:  Bertrand Hermann; Hélène Brisson; Olivier Langeron; Nadya Pyatigorskaya; Julie Paquereau; Hélène Robert; Johan Stender; Marie-Odile Habert; Lionel Naccache; Antoine Monsel
Journal:  Ann Clin Transl Neurol       Date:  2018-07-05       Impact factor: 4.511

5.  Transcranial direct current stimulation (tDCS) effects on traumatic brain injury (TBI) recovery: A systematic review.

Authors:  Ana Luiza Zaninotto; Mirret M El-Hagrassy; Jordan R Green; Maíra Babo; Vanessa Maria Paglioni; Glaucia Guerra Benute; Wellingson Silva Paiva
Journal:  Dement Neuropsychol       Date:  2019 Apr-Jun

Review 6.  Resting-State Electroencephalography for Prognosis in Disorders of Consciousness Following Traumatic Brain Injury.

Authors:  Ruth Pauli; Alice O'Donnell; Damian Cruse
Journal:  Front Neurol       Date:  2020-12-04       Impact factor: 4.003

7.  Standardized visual EEG features predict outcome in patients with acute consciousness impairment of various etiologies.

Authors:  Michael Müller; Andrea O Rossetti; Rebekka Zimmermann; Vincent Alvarez; Stephan Rüegg; Matthias Haenggi; Werner J Z'Graggen; Kaspar Schindler; Frédéric Zubler
Journal:  Crit Care       Date:  2020-12-07       Impact factor: 9.097

8.  Value and mechanisms of EEG reactivity in the prognosis of patients with impaired consciousness: a systematic review.

Authors:  Eric Azabou; Vincent Navarro; Nathalie Kubis; Martine Gavaret; Nicholas Heming; Alain Cariou; Djillali Annane; Fréderic Lofaso; Lionel Naccache; Tarek Sharshar
Journal:  Crit Care       Date:  2018-08-02       Impact factor: 9.097

9.  Predicting outcome in patients with moderate to severe traumatic brain injury using electroencephalography.

Authors:  Marjolein E Haveman; Michel J A M Van Putten; Harold W Hom; Carin J Eertman-Meyer; Albertus Beishuizen; Marleen C Tjepkema-Cloostermans
Journal:  Crit Care       Date:  2019-12-11       Impact factor: 9.097

10.  Classification of Non-Severe Traumatic Brain Injury from Resting-State EEG Signal Using LSTM Network with ECOC-SVM.

Authors:  Chi Qin Lai; Haidi Ibrahim; Aini Ismafairus Abd Hamid; Jafri Malin Abdullah
Journal:  Sensors (Basel)       Date:  2020-09-14       Impact factor: 3.576

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