Use of brain electrical activity for the identification of hematomas in mild traumatic brain injury

Daniel F. Hanley, Robert Chabot, W. Andrew Mould, Timothy Morgan, Rosanne Naunheim, Kevin N. Sheth, William Chiang, Leslie S. Prichep

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

This study investigates the potential clinical utility in the emergency department (ED) of an index of brain electrical activity to identify intracranial hematomas. The relationship between this index and depth, size, and type of hematoma was explored. Ten minutes of brain electrical activity was recorded from a limited montage in 38 adult patients with traumatic hematomas (CT scan positive) and 38 mild head injured controls (CT scan negative) in the ED. The volume of blood and distance from recording electrodes were measured by blinded independent experts. Brain electrical activity data were submitted to a classification algorithm independently developed traumatic brain injury (TBI) index to identify the probability of a CT+traumatic event. There was no significant relationship between the TBI-Index and type of hematoma, or distance of the bleed from recording sites. A significant correlation was found between TBI-Index and blood volume. The sensitivity to hematomas was 100%, positive predictive value was 74.5%, and positive likelihood ratio was 2.92. The TBI-Index, derived from brain electrical activity, demonstrates high accuracy for identification of traumatic hematomas. Further, this was not influenced by distance of the bleed from the recording electrodes, blood volume, or type of hematoma. Distance and volume limitations noted with other methods, (such as that based on near-infrared spectroscopy) were not found, thus suggesting the TBI-Index to be a potentially important adjunct to acute assessment of head injury. Because of the life-Threatening risk of undetected hematomas (false negatives), specificity was permitted to be lower, 66%, in exchange for extremely high sensitivity.

Original languageEnglish (US)
Pages (from-to)2051-2056
Number of pages6
JournalJournal of neurotrauma
Volume30
Issue number24
DOIs
StatePublished - Dec 15 2013

Keywords

  • hematoma
  • mild traumatic brain injury
  • neuroimaging
  • quantitative EEG

ASJC Scopus subject areas

  • Clinical Neurology

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