Solutions for Attention Deficits and Learning Problems


QEEG’s use in the diagnosis of

Attention Deficit Hyperactivity Disorder

 Steven M. Butnik, Ph. D.

Licensed Clinical Psychologist


According to the American Academy of Pediatrics' 2004 monograph, ADHD: A Complete and Authoritative Guide [Michael I. Reiff, M.D., FAAP], brain scans such as quantitative electroencephalography (QEEG) "will help experts more clearly document the neurological and behavioral nature of ADHD, paving the way for better understanding and treatment of ADHD."

Dr. Edward Hallowell, co-author of Driven to Distraction, has added QEEG to his clinic's standard ADHD evaluation.  In his new book, Delivered from Distraction, Dr. Hallowell states, "Next to the history, we believe this [QEEG] is the best available test for ADD both in children and in adults.”

In support of the QEEG, Dr. Hallowell cites its being up to 90% accurate in making the diagnosis, as well as its value in helping to select treatment options. Because QEEG identifies cortical hypoarousal, it provides "an elegant physiological link between diagnosis and treatment,” as people with this pattern of brain activity are more likely to respond to stimulant medication than people without this pattern.

Dr. Hallowell encourages primary care physicians to recommend QEEG when making the diagnosis of ADHD in order to improve diagnostic reliability and to "drastically" reduce the chances of misdiagnosis.

A QEEG scan takes about one hour and is painless. One electrode is placed on the scalp and two electrodes are clipped to the ears. Brain wave data are recorded during four, two-minute conditions: at rest, while reading, while listening and while writing. Obtained data are analyzed and interpreted during the session.

I have been utilizing QEEG and EEG biofeedback (also known as neurofeedback) to help diagnose and treat ADHD for more than six years.  An article I wrote about the clinical uses of QEEG and neurofeedback for ADHD will appear in the spring 2005 Journal of Clinical Psychology/In Session. In addition, our practice is serving as a field site for a University of Virginia study designed to quantify QEEG's effectiveness in the diagnosis of ADHD in clinical practice.



[This summary describing recent QEEG research was prepared by Dr. David Rabiner]


Quantitative Electroencephalographic (QEEG) scanning is a technique used to measure electrophysiological activity in particular regions of the brain. Results from recent studies indicated that individuals with ADHD could be reliably distinguished from non-ADHD individuals by QEEG scan results of the prefrontal cortical areas. Approximately 90% of individuals who had been carefully diagnosed with ADHD using standard diagnosed procedures showed a pattern of under activity in these areas (referred to as “cortical slowing”).  In contrast, 94% of a control population did not. These data provided good initial evidence that QEEG scanning might be a useful “objective” procedure to assist in the diagnosis of ADHD.  Recent work from the same research team provides additional support for the use of QEEG scanning in the ADHD diagnostic process. The first paper reviewed below encompasses 3 separate studies and was published in the January 2001 issue of Neuropsychology. (Monastra et al. (2001). The Development of a Quantitative Electroencephalographic Scanning Process for ADHD: Reliability and Validity Studies. Neuropsychology, 15, pp. 136-144.)

Study 1

The initial study described in this report was designed to replicate findings from the prior work. Participants were 96 individuals between the ages of 6 and 20 who were diagnosed with ADHD, and 33 age-matched comparison subjects. ADHD diagnosis was based on a combination of structured clinical interviews and behavioral rating scales. Comparison subjects received a similar evaluation to rule out ADHD, as well as other neurological conditions that could affect attentional functioning. The ratio of males to females was approximately 3 to 1, which is consistent with the rates of referral for ADHD evaluations to clinical settings.

The QEEG scanning procedure utilized measured the ratio of theta waves to beta waves in the prefrontal cortical area during 4 different activities: a baseline procedure in which participants were instructed to focus on a single stimulus; a 90-second silent reading task; a 90-second listening task; and a 90-second drawing task in which the subject was asked to reproduce geometric shapes.

Theta waves are low-frequency waves associated with a mental state that has been described as “day-dreamy” and inattentive. Beta waves are higher-frequency waves associated with focus and attention. All individuals produce both theta and beta waves. However, in individuals with ADHD, the ratio of theta waves to beta is typically greater during tasks that demand focus.

During the QEEG scan, electrophysiological activity is measured in prefrontal cortical areas of the brain using electrodes attached to the scalp. These data are used to compute the ratio of theta waves to beta waves -- referred to as the “Attention Index”. Attention Index scores above a certain level are indicative of “cortical slowing" and are associated with greater difficulties sustaining attention (i.e. higher Attention Index scores indicate more likelihood of difficulty). Such scores are rarely found in individuals without ADHD. As you would expect, because the ability to sustain attention typically increases with age, adults generally obtain lower Attention Index scores on a QEEG scan than children. (Remember, lower scores are “better” in the sense that they are presumed to more a more highly developed ability to focus attention.)

Results from this study provided a strong replication of those previously reported. Specifically, ADHD individuals were substantially more likely than comparison subjects to show Attention –Index scores above the age-appropriate cut-off score. The exact figures were virtually identical to those that had been found earlier – 90% of individuals with ADHD had scores above the cut-off and 94% of those without ADHD did not. (It should be noted that none of the participants were on stimulant medication at the time the QEEG scan was taken.)

In considering these results, it is important to remember that ADHD is currently diagnosed by determining whether individuals display a particular constellation of behavioral symptoms. That is how the participants in this study were diagnosed as well. A pattern of abnormal results on a QEEG scan -- or any other type of physiological measurement -- is not one of the diagnostic criteria. Thus, the results reported above indicate that most participants diagnosed with ADHD according to the behavioral criteria outlined in DSM-IV also had atypical QEEG scan results. Conversely, individuals not showing the behavioral symptoms of ADHD almost never showed the abnormal QEEG scan.

Study 2

The second part of this study included an entirely different sample of 285 6- to –20-year-old participants -- all of whom were diagnosed with ADHD using structured interviews and behavior rating scales. The purpose of this study was to determine how well participants’ Attention Index scores (from the QEEG scan) compared with scores they obtained on established procedures used in the diagnosis of ADHD. The other procedures used were parent ratings on the Attention Deficit Disorder Evaluation Scale (ADDES), and two computerized tests of sustained attention -- the Conners’ Continuous Performance Test (CPT) and the Test of Variables of Attention (TOVA).

For each of these procedures, scores within a certain range are believed to be indicative of ADHD. In this study, all participants had previously been diagnosed with ADHD, so one would expect that most would have abnormal scores on each of the different “tests”. Of course, no test is perfect, so not every individual would show abnormal results on each test.

Because the QEEG procedure is relatively new, and the other procedures are all well-established and widely used, the researchers were interested in the rate of agreement between classification results based on the QEEG scan with classification results based on results from each of the other instruments. In other words, if a participant’s QEEG scan fell in the “abnormal” range, how likely was it that his or her score on the other procedures would also be in the abnormal range? Demonstrating that classification results from a new procedure are consistent with results obtained from established procedures is one strategy that researchers use to validate a new test.

Results indicated that classification agreement percentages between the QEEG and the other procedures were as follows: 83% for the ADDES; 70% for the TOVA; and 48% for the Conners’ CPT. For the ADDES and the TOVA, these rates of agreement are significantly higher than would be expected by chance. For the Conners’ CPT, they were not. Recent studies using the Conners’ CPT, however, indicate that it has questionable validity in the diagnosis of ADHD, so this low-level of agreement is not surprising.

Because all participants in this study were carefully diagnosed with ADHD using standard procedures, each participant would have received abnormal scores on each measure if the QEEG scan, ADDES, TOVA, and Conners’ CPT were perfectly accurate diagnostic instruments. This, of course, was not the case. It is interesting to note, however, that more participants obtained abnormal results on the QEEG scan than on any of the other procedures. The rates of abnormal results were 80%, 78%, 72%, and 49% for the QEEG, ADDES, TOVA, and Conners’ CPT, respectively. Thus, results of this study indicate that QEEG scan results show significant consistency with other well-established procedures used in diagnosing ADHD, and that it is as least as accurate as these other procedures.

(It is important to note that classification agreement between the different procedures was not perfect, and that some individuals who met DSM-IV diagnostic criteria for ADHD did not score in the deviant range on each of the instruments. This makes clear that errors can be made if too much emphasis is placed on results obtained from any single diagnostic procedure.  Instead, it is important to obtain data from a variety of sources in the evaluation process, and then make a careful diagnostic judgment that reflects a thoughtful integration of these different data sources.)

Study 3

In the final study in this paper, the researchers examined the consistency of QEEG scan results that individuals received on different occasions. The consistency of results obtained on a test is one measure of a test’s reliability, and high test-retest reliability is especially important for tests intended to help with diagnosis. Fifty-five individuals between 6 and 20 participated in this reliability study. Each was given the QEEG scan on 2 occasions, one month apart. The correlation between individuals’ scores for the 2 administrations was .96, which is really very high (i.e. the highest possible correlation that can be obtained is 1.00). This result means that individual’s Attention Index scores from the QEEG scan were remarkably stable over the 30-day period. Thus, the score one obtains on a particular day is likely to be very similar to the score one would obtain at another time. An abnormally high score that is suggestive of ADHD is thus unlikely to occur because of chance. Instead, it is likely to reflect a stable characteristic of an individual’s underlying EEG activity.


Collectively, the 3 studies described in this paper replicate prior results showing that: QEEG scanning provides an accurate tool for differentiating between individuals with and without ADHD; QEEG scan results demonstrate adequate agreement with more established evaluation procedures; and, results obtained on QEEG scans are remarkably stable over at least short time intervals. Such results provide strong support for the utility of QEEG scanning as an objective procedure to assist in the diagnosis of ADHD.

Although these results are encouraging, they are limited by the fact that the utility of QEEG scan results in distinguishing between individuals with ADHD and individuals with other psychiatric disorders was not tested. Instead, when QEEG results between individuals with and without ADHD were compared, the comparison group was comprised of normal individuals without any other disorder. Thus, we don’t know whether individuals without ADHD, but with other psychiatric disorders, would also score in the abnormal range on the QEEG scan. Thus, the utility of this procedure for differentiating between ADHD and other conditions -- which clinicians are often required to do -- remains undetermined. This critical test of the utility of QEEG scanning as a diagnostic procedure for ADHD was examined in a more recent study from this research group. That study is described below.


Data from this study are not yet published, but were presented at the recent annual meeting of the American Psychological Association (APA). Participants in the study were 209 individuals ranging in age from 6 to 30. Of the 209 participants, 177 had been diagnosed with ADHD, 16 with Oppositional Defiant Disorder (ODD), and 17 with a mood or anxiety disorder. The authors indicate that these were pure diagnostic groups, meaning that although members of each group may have displayed symptoms found in other psychiatric disorders, none met full diagnostic criteria for any disorder other than their primary diagnosis.

In order to determine whether the QEEG scanning process could differentiate patients with ADHD from those with other psychiatric disorders, Attention Index scores were computed for each participant as described above. The table below shows the average Attention Index scores for each diagnostic group across the different age ranges. Because there were relatively few individuals with ODD or an anxiety or mood disorder, these individuals were combined into a single group labeled Other Diagnosis in the table below. As noted above, higher Attention Index scores indicate high theta/beta ratios and are associated with more limited attention.

Age      ADHD-Inattentive     ADHD Combined     Other Diagnosis

6-11              6.31                       6.56                           2.90

12-15            3.85                       5.48                           1.77

16-20            3.89                       4.18                           1.94

21-30            2.92                       2.84                           1.63

As indicated above, the average scores for participants with either the inattentive or combined subtype of ADHD are very similar to each other and substantially higher than the average score for participants with other psychiatric diagnoses. At each age level, the difference between the ADHD groups and the other diagnoses groups is statistically significant. The decline in Attention Index scores with advancing age is expected because the ability to maintain focused attention is an ability that typically increases with development.

When a criterion of 1.5 standard deviations above the mean for non-ADHD individuals was used as the cut-off between “normal” and “deviant” QEEG scan results, 78% of the ADHD group had scores in the deviant range. This means that the majority of individuals with ADHD have Attention Index scores that individuals without ADHD infrequently obtain. In contrast, 97% of individuals with other psychiatric diagnoses had Attention Index scores that fell within the normal range. Thus, although these individuals had a clear psychiatric disorder, their results on the QEEG scan were highly unlikely to fall in the range associated with ADHD.


This is a very important study. The results demonstrate that QEEG scan results indicative of high theta/beta ratios in prefrontal cortical areas are specific to ADHD, and are not likely to be found in those with other psychiatric conditions. In other words, the QEEG scan procedure is not only accurate in distinguishing between individuals with ADHD and “normal” individuals, but can also aid with differential diagnosis (i.e. distinguishing individuals with ADHD from those with other psychiatric problems). Because the differential diagnostic question is what clinicians typically face, it appears that this procedure has promise as a useful clinical diagnostic tool. This stands in sharp contrast to results recently reported for the Conners’ CPT, which was found to be of little value in distinguishing individuals with ADHD from those with other diagnoses.

Collectively, results from these studies provide strong support for QEEG scanning as an important technique for assisting in the diagnosis of ADHD. This does not mean, however, that this -- or any other individual test -- can be the sole basis for the diagnosis of ADHD.  For example, in the studies reviewed here, between 10 and 20% of individuals who met standard diagnostic criteria for ADHD did not show abnormal QEEG results. In addition, a small number of participants who did not display the behavioral symptoms of ADHD did produce abnormal QEEG scans. These apparent errors point to the importance of basing an ADHD diagnosis on a variety of different data, obtained from a variety of sources. Thus, in addition to the benefits of an objective procedure such as QEEG scanning, information on children’s behavior collected from parents and teachers will always be a critical component of a thorough ADHD evaluation. It is also important to remember that a thorough evaluation for ADHD needs to include a broad
assessment of an individual’s functioning so that other difficulties that often occur with ADHD -- or which may be present instead of ADHD -- are not missed.

Because a thorough diagnostic evaluation for ADHD requires this broad assessment of an individual’s functioning in addition to a specific focus on ADHD symptoms, in all likelihood there will never be a single test that is adequate for this purpose. Nonetheless, the QEEG scanning procedure examined in these studies appears to be an excellent tool for assisting clinicians in the evaluation of ADHD. Other research on this procedure has suggested that QEEG results also provide an accurate prediction of whether an individual will show a positive response to stimulant medication treatment. Thus, this technique may have important utility in treatment planning in addition to a role in the initial evaluation. 

In the upcoming years, it will be interesting to see whether QEEG scanning -- which is not yet in widespread use -- will begin to be implemented by a greater number of clinicians. For clinicians considering the possibility of incorporating this diagnostic aid into their work, the studies reviewed here certainly suggest there is a reasonable basis for doing so.

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David Rabiner, Ph.D.
Senior Research Scientist
Duke University

Some insurance companies reimburse for QEEG scans. The procedure codes (CPT codes) that may be used for insurance reimbursement for QEEGs are 95816 (Administration of the EEG), 95957 (Digital Analysis of EEG), and 99090 (Reference EEG Database Access). 

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