Clinical advantages of quantitative electroencephalogram (QEEG)-electrical neuroimaging application in general neurology practice

Clin EEG Neurosci. 2013 Oct;44(4):273-85. doi: 10.1177/1550059412475291. Epub 2013 Mar 26.


QEEG-electrical neuroimaging has been underutilized in general neurology practice for uncertain reasons. Recent advances in computer technology have made this electrophysiological testing relatively inexpensive. Therefore, this study was conducted to evaluate the clinical usefulness of QEEG/electrical neuroimaging in neurological practice. Over the period of approximately 6 months, 100 consecutive QEEG recordings were analyzed for potential clinical benefits. The patients who completed QEEG were divided into 5 groups based on their initial clinical presentation. The main groups included patients with seizures, headaches, post-concussion syndrome, cognitive problems, and behavioral dysfunctions. Subsequently, cases were reviewed and a decision was made as to whether QEEG analysis contributed to the diagnosis and/or furthered patient's treatment. Selected and representative cases from each group are presented in more detail, including electrical neuroimaging with additional low-resolution electromagnetic tomography analysis or using computerized cognitive testing. Statistical analysis showed that QEEG analysis contributed to 95% of neurological cases, which indicates great potential for wider application of this modality in general neurology. Many patients also began neurotherapy, depending on the patient's desire to be involved in this treatment modality.

Keywords: QEEG; electrical neuroimaging; neurofeedback; neurology.

MeSH terms

  • Electroencephalography / statistics & numerical data*
  • Florida / epidemiology
  • Humans
  • Nervous System Diseases / diagnosis*
  • Nervous System Diseases / epidemiology*
  • Neuroimaging / statistics & numerical data*
  • Neurology / statistics & numerical data*
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Prevalence
  • Reproducibility of Results
  • Sensitivity and Specificity