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Clinical Advantages of Quantitative Electroencephalogram (QEEG)–Electrical Neuroimaging Application in General Neurology Practice

J. Lucas Koberda1, Andrew Moses1,2, Paula Koberda1,2 and Laura Koberda1,2 Abstract

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.

QEEG, electrical neuroimaging, neurology, neurofeedback 

Received June 23, 2012; Revised October 2012; Accepted December 28, 2012


QEEG was introduced in the 1970s as an experimental testing modality of brain-wave recordings; however, with time QEEG has become more widely used for neurological evaluation of epilepsy and behavioral problems in psychiatry. Due to remarkable advancement in computer technology and low cost of computers, QEEG testing became affordable for any medical practice. The QEEG is based on mathematical processing of standard electroencephalography (EEG), which condenses the EEG data to a single page color-coded summary. This gives a neurologist unprecedented ability to look at summarized EEG information, which was not previously possible with regular EEG. Unfortunately, most US neurology residency training programs do not offer QEEG/electrical neuroimaging 1 training in their curriculum, which results in very limited application of this modality in general neurology practice. Review of the previous literature revealed no consensus among US neurologists, as to whether QEEG should be used in general neurology practice.2-5 Therefore, I analyzed patients from my general neurology clinic. One hundred QEEG cases were reviewed, with special attention given to whether the electrical neuroimaging contributed clinically to diagnosis, decision making, or treatment.

 Materials and Methods 

We analyzed 100 consecutive cases of patients, with various neurological problems, who completed QEEG in our general neurology clinic, at Florida State University, College of Medicine, Tallahassee, Florida. The patients were reviewed from 

1 Tallahassee NeuroBalance Center, Tallahassee, FL, USA
2 Florida State University, Tallahassee, FL, USA Corresponding Author:
J. Lucas Koberda, Tallahassee NeuroBalance Center, PO Box 13554, Tallahassee, FL 32317, USA.

September 2010 to February 2011. One hundred consecutive patients, who completed QEEG studies in our general neurology clinic, were divided into 5 groups based on their initial clinical presentation (see Tables 1-5). One representative case from each group was selected and presented in more detail. Statistical analysis for different groups of patients is presented as the percentage of patients where QEEG was clinically useful in diagnosis
and evaluation. The patients’ workup depended on the presenting problem and, frequently in addition, the general neurological examination included brain imaging (magnetic resonance imaging [MRI] or computed tomography) and/or commercially available computerized neurocognitive testing6 (NeuroTrax Corp, Mindstreams assessment, Bellaire, Texas).NeuroTrax Corp neurocognitive testing is a computerized neuropsychological assessment where the patient is compared to age- and education-matched healthy controls where mean ¼ 100 with 1 standard deviation ¼ 15. The QEEG analysis was completed using commercially available Neuroguide7 (St. Petersburg, Florida) software and previously recorded 19 channels digital EEG.

Approximately, 3 to 5 minutes of artifact-free closed eyes EEG segments were selected and subjected to further QEEG analysis. Traumatic brain injury discriminant analysis (TBITable

DA)8 was used for eligible patients aged 5-18 years, who sustained prior head injury and learning disability discriminant analysis9 for eligible patients aged 5 to 18 years. The Lowresolution electromagnetic tomography analysis (LORETA) 10,11 was also used for better cortical localization of the clinical problem.10,11


Tables 1-5 show the summary of patients assigned to each of the groups. Table 1 contains data of 18 patients with an initial working diagnosis of seizure versus syncope, as well as the data of patients with potential stroke or multiple sclerosis. Thirteen QEEGs were clinically significant. Table 2 includes data of 13 patients with chronic headaches and probable overlapping anxiety. All 13 QEEGs were found to be clinically contributory. Table 3 contains data of 33 patientswho sustained head injury and diagnosed with possible post-concussion syndrome (PCS) based on their complaints and history of accidents. All 33 QEEGs were found to contribute to clinical diagnosis and potential treatment.
Table 4 includes data of 12 patients with symptoms of memory and cognitive problems suggesting the possibility of dementia. All 12 QEEGs were found to be clinically contributory, where confirmation of EEG slowing was indicative
of likely organic etiology. Table 5 shows data of 24 patients presenting mostly with behavioral problems, including depression, anxiety, or attention deficit problems. Also, patients having autistic spectrum disorder were included in this
group. All 24 QEEGs were found to be contributory to diagnosis and/or treatment.

When all tables were summarized, 95% of 100 consecutive QEEG analyses were found to be clinically contributory. For each group, 1 representative case is presented in detail. Patient R.R. was a 52-year-old female with a history of intractable epilepsy.Multiple standard digital EEGs completed in different hospitals were reported as normal, as well as brain imaging with 3 Tesla MRI and epilepsy protocol. Subsequent QEEG and LORETA showed evidence of right temporal dysfunction (Figure 1). Additional video-telemetry, completed in university settings, confirmed the diagnosis of right temporal epilepsy (patient developed seizures during EEG video observation originating from the right temporal location).

Patient I.A. was a 24-year-old female with a history of intractable headaches. Electrical neuroimaging analysis showed marked increase in frontal b power (Figure 2), confirming typical QEEG presentation of individuals with chronic headache. 

Another patient is a 20-year-old female studentwho,while riding her scooter, was hit by a car and sustained head injury with probable loss of the consciousness.Subsequently, she complained ofmemory and concentration problems, headaches and insomnia, andwas diagnosedwith PCS.Neurocognitive testing withNeuro-Trax (Figure 3) revealed a global cognitive score of 95 (below average cognitive performance), with most deficient memory
testing—60.2 (below 2 standard deviation from the average), as well as reduced attention—92.7. Additional electrical neuroimaging, andLORETAanalysis, showed increased bilateral temporal y power (Figure 4), indicative of potential temporal dysfunction consistent with the patient’s clinical presentation. The TBI-DA was also positive for TBI.

Another example is patient D.F., an 81-year-old male with a history of progressive memory and cognitive problems. Both QEEG and LORETA analyses showed increase in y power in bilateral temporal regions confirming a diagnosis of most likely organic neurodegenerative process (Figure 4).

The neurobehavioral group was represented by patient K.P., who was a 17-year-old student with long-standing history of attention deficit disorder (ADD) and Asperger syndrome. Electrical neuroimaging revealed findings typical for
ADD phenotypic presentation, with frontal increase in y power as well as elevated y/b ratio. Additional learning disability discriminant analysis also confirmed evidence of learning dysfunction (Figure 5). Subsequently, this patient
was given neurofeedback treatment, since he had no desire to take stimulant medication.


This report contains analysis of 100 consecutive patients who underwent QEEG in our neurology practice, and to our knowledge, it constitutes the first article to address the usefulness of this testing in general neurological practice. Prior literature mostly consists of single or multiple case studies of selected neurological12 or psychiatric conditions.13,14 Also, application of QEEG in chronic pain, including fibromyalgia15 as well as headaches, was previously reported.12

From a neurological point of view, current underutilization of QEEG impedes progress in diagnosis. QEEG is a relatively inexpensive technology, with excellent temporal resolution and reasonable spatial resolution.16 In addition, most neurologists are very familiar with raw EEG analysis which is essential for good QEEG interpretation. Based on the above data, most patients analyzed in our practice benefited from QEEG/LORETA, except for syncope patients. This finding is not unexpected since syncope patients are mostly cardiovascular, where no major focal brain abnormalities are expected. However, during initial clinical evaluation, those patients are sometimes difficult to separate
from seizure or epilepsy cases.

QEEG analysis of patients with chronic headache (Table 2) confirms a prior report indicating increase in b power in frontal and/or occipital locations.12 These patients frequently had coexisting anxiety, contributing to elevated b band

QEEG analysis of patients with PCS showed that most had a marked increase in frontotemporal and central y power in addition to positive TBI-DA. A smaller group of patients had an increase in frontocentral b power.Overall, high sensitivity of PCS detection using QEEG was also previously reported.18 The potential usefulness of QEEG to quantify TBI in the emergency department was suggested by other authors.19 Individuals with negative TBI-DA may be in need of additional neuropsychological testing in order to validate, or rule out, the diagnosis of PCS.

The author(s) received no financial support for the research, authorship,
and/or publication of this article.
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