Learning Discoveries Psychological Services
Rosemary Boon
Registered Psychologist
M.A.(Psych), Grad. Dip. Ed. Studies (Sch.Counsel), Grad. Dip. Ed., B.Sc., MAPS

Telephone:
Sydney (+61 2) 9637 9998
Facsimile:
Sydney (+61 2) 9637 8799

Email:
ldps@bigpond.net.au

Address:
P.O. Box 47
Harris Park NSW 2150
Australia


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Quantitative Electroencephalography (QEEG)

What is a Quantitative Electroencephalograph?

Quantitative Electroencephalography (QEEG) is the measurement, using digital technology, of electrical patterns at the surface of the scalp which primarily reflect cortical activity or "brainwaves". A multi-electrode recording of brain wave activity is recorded and converted into numbers by a computer. These numbers are then statistically analysed and are converted into a colour map of brain functioning.

Digital EEG techniques have grown rapidly in both technology and popularity since the early 1980's for recording, reviewing, and storing EEG data.

What are the advantages of QEEG in comparison to routine EEG's?

Quantitative EEG (QEEG) analysis techniques can provide additional measurements and displays of EEG in many different ways that are not possible with analog paper EEG recordings.

Several QEEG techniques, commonly called "EEG brain mapping", include topographic displays of voltage or frequency, coherence, asymmetries and statistical comparisons to normative values ("Z" scores), as well as discriminant analysis of Learning Disabilities, Attention Deficits, Brain Injury etc.. Montage, filter, and gain settings can be changed retrospectively during record review.

Digital EEG recordings are also extremely flexible in the way they display the EEG tracings, unlike analog paper EEG.


Sample from NeuroguideÔ System

Some Examples of Functional Imaging of the Brain Include

A CT Scan

An fMR-image

An MR-image

SPECT

PET

PET/MRI
(Multi-Modal)


MEG
(Superimposed on MRI)

QEEG

Compared to other systems, QEEG is a non-invasive procedure and offers a superior temporal (time) resolution compared with fMRI, SPECT and PET imaging techniques.

MEG systems, though providing a high temporal and spatial resolution, are a relatively expensive means of monitoring the brain compared with QEEG arrangements.

Furthermore, EEG apparatus is less cumbersome than other imaging equipment (MEG, fMRI, SPECT and PET devices typically monopolise an entire room)

In terms of brain imaging techniques, QEEG looks at metabolism and function, whereas MRI’s and CT scans reflect structure. Multiple-electrode recordings (19 sites) following the International 10/20 System of EEG electrode placement are converted to numbers using digital technology and these numbers are statistically analysed against normative data bases allowing subject to data base comparisons in order to show the location and extent of brain dysfunction, in specific frequency bands and under particular task conditions (e.g. during maths, reading etc.).

Focal or generalised cerebral dysfunction is presented as coloured brain maps or graphs making QEEG an effective tool for differentiating between organic and functional brain disorders. Signature patterns discriminate between different disorders (unipolar vs bipolar depression). Symptoms directly correlate to brain wave activity, providing a tangible & effective method of predicting and monitoring the response to medication without the need for extended trials or guesswork.

"New three-dimensional QEEG imaging methods offer an economical
alternative to other functional brain imaging modalities…..

During the last decade more than 500 EEG and QEEG papers have reported well designed studies, concurring that EEG and QEEG abnormalities are found in a high proportion of psychiatric patients".

Hughes, JR & Roy John, E (1999): Conventional and Quantitative Electroencephalography in Psychiatry.
Journal of Neuropsychiatry and Clinical Neurosciences 11:190-208. May. American Psychiatric Press Inc.

The amount of data generated by multi-electrode recording is so enormous that it is difficult for clinicians to interpret all the data. QEEG's address this data analysis and summarisation of data in the form of coloured topographic maps of the brain, spectral analysis and graphs. Other advantages are:

* Data Base Comparisons

A patient's/client's performance can be statistically compared to that of a large population data base. Such comparisons allow the clinician to determine whether or not brain functioning is abnormal, to what degree, in what locations and in which frequency bands.

* Pharmacological Activation Test Dose

The QEEG provides a simple, tangible way to determine whether or not a client/patient will benefit from a psychotropic medication without the need for an extended trial.

* Discriminating Functional and Organic Disorders

QEEG's can also serve as an effective tool for differentiating between organic and functional brain disorders. This functional data provides an excellent supplement to data obtained from CT scans and MRI's.

For instance, QEEG is a useful tool for differentiating between physiological and functional causes of depression and hyperactivity. It has also been helpful in the identification of schizophrenia and dementias.

This procedure can also be employed to identify cases of cerebral atrophy associated with alcoholism or drug abuse as well as determining whether a child is presenting with neurologically based attention deficit disorder or one of psychogenic origin.

Statistical data base comparisons and specialised software allow discriminant function in such things as brain injury and learning disabilties.

* Simplicity of the Procedure

The procedure has the advantage of being non-invasive safe and dynamic (temporal); quick - usually requiring no more than an hour of preparation/administration and reliable (1 minute of clean data is 94% reliable, 2 minutes is 96% reliable).

* Coloured Dynamic Brain Map
Sample from the Skil Topometric System

The coloured dynamic brain map generated by a computer makes it easy for clients/patients to visualise the problems that are being explained. Thus it facilitates communication and improves the client's (and family's) understanding of their conditions.

* Neurofeedback

The sister technology to QEEG is EEG biofeedback (also known as neurofeedback or neurotherapy).

Neurotherapy is EEG biofeedback based on operant conditioning of EEG characteristics. The qEEG provides the "targeting" information by telling us where and under what conditions (reading, listening, maths etc.) the problem is worse. This analysis allows accurate electrode placement for feedback and suggests tasks that should be used during training. The EEG feedback signals the client when their brain is in fact in a more activated state, indexed by decreased delta (0.5-3Hz) and theta (4-7Hz) brain wave amplitudes and increased beta (12-18Hz)/alpha (8-12Hz) amplitudes.

 QEEG and Neurofeedback - diagnostic and training modalities for the enhancement of CNS functioning in ADHD and other disorders - Brief but informative and up-to-date article citing case studies and statistics.

For whom would a QEEG be appropriate?

 QEEG's are initially performed to determine the presence of focal or generalised cerebral dysfunction and as a baseline guide for neurofeedback.

 following closed head injury, stroke, heart attack, pulmonary dysfunction after hypoxia

 where seizure disorders or tumours are suspected

 in suspected cases of ADHD, drug abuse, LD

 when pathological alterations in vigilance (narcolepsy, confusion, coma) or acute nervous system processes (acute headache, vomiting, aphasia) have been observed

 to investigate cerebrovascular disorders

QEEG's can also be used

 as follow-up to monitor organic brain syndromes, alcohol withdrawal, chemotherapy/radiation treatment, withdrawal from psychotropic medication or illicit drugs;

 to follow-up on infectious diseases such as encephalitis or meningitis

 to follow-up on post-operative status

 to monitor/follow up EEG biofeedback (neurofeedback)

What is the client's experience?

An ECI electrocap is placed on the head to facilitate ease of administration and consistency because it provides predetermined electrode placements. Then gel is inserted in each electrode to make a good connection. There is no pain or discomfort with this procedure. EEG recordings are then taken under four conditions: eyes closed, eyes open, a visual spatial task and a maths test.

Clinical Topographic EEG Methodology

A fitted electrode cap with leads placed according to the International 10/20 System is applied to achieve a standardized 19 channel EEG recording. A referential montage is then obtained with linked earlobes.

Electrode impedance of less then 3 Kohms is required at all sites prior to the initiation of recording. EEG signals are fed directly to a quantitative topographic analysis system where they are digitized at a rate at or above 256 samples per second. The data is band-pass filtered between 1 and 30 Hz and stored on a hard disk for subsequent analysis.

The client is seated in a comfortable reclining chair placed approximately 3.5 meters in front of a video monitor screen and the legs rested on a small ottoman in front of the seat.

A series of standardized tests, each lasting from 3-20 minutes depending upon what the EEG is being conducted for, is administered. These tests may include 1) eyes closed, 2) eyes open, 3) reading for comprehension, and 4) a mathematics test of graded difficulty.

Digitized data is subjected to a custom automatic artifact detection program that identifies and deletes eye-blink and movement artifact. This is supplemented by a visual review of the record by the clinician/EEG Technician for removal of residual undetected eye and head movement artifact, as well as muscle activity of potential consequence to the analysis. A manual cursor is used to selectively identify and delete only those brief segments affected. Atypical transients in the EEG signal are noted for subsequent analysis during this procedure.

Corrected EEG data is then analysed for frequency content using the Fast Fourier Transform.

Evaluation of these data employs various descriptive and statistical displays with a variety of frequency band formats. These can include data tables, spectral maps, individual frequency band topometric analysis (providing both within and between state evaluation), topographic maps, coherence, asymmetry and covariance analysis.

Statistical analysis compares subject data with a child to adult normative database and may be corrected for significant time-of-day variations and state transitions. Data is also evaluated for percentage change across states and compared with a normative database for state modulation. Finally, topographic maps showing covariance between all sites at relevant frequencies are compared with a normative database to evaluate the status of functional cortical interactions. A written report follows ten days to a fortnight later.

What information is received from the QEEG?

The SKILTM Topometric QEEG provides information on brain functioning and its impact on cognition and learning. Computerised EEG results are compared to age-related norms of the QEEG database providing information about whether the client has a deviation in QEEG functioning which varies significantly from the norm. It indicates what locations, the amplitude and frequency of waves of interest, and under what conditions the abnormality manifests itself. Advanced artifact removal, time of day correction, multiple data and statistical displays, and state comparison analysis differentiate the SKILTM from other QEEG systems. The information is visually summarised in five graphical displays: topographic maps, spectral plots, topometric distributions, covariation maps and tables.

A hyperlink to the SKILTM Topometric website is provided at the end of this article in the links section for more information on the capabilities of this software package.

The NeuroguideTM software offers the clinician multi-functional QEEG analysis including coherence, phase and asymmetries; and 3 dimensional source localisation; a birth - 82 years of age normative data base with Traumatic Brain Injury Discriminant, Learning Disability Discriminant and a Predictive Neuropsychological Scores value based upon the EEG.

A hyperlink to the Applied Neuroscience website is provided at the end of this article in the links section for more information on the capabilities of this software package.


The History of QEEG testing and neurofeedback

The 1970's and 80's were decades of exploration and experimentation with QEEG. The American Medical EEG Association (AMEEGA) Adhoc Committee on QEEG has stated "QEEG is of clinical value now and developments suggest it will be of even greater use in the future". The use of the QEEG in assisting the diagnosis of mild traumatic brain injury, ADHD, learning disabilities, stroke, and epilepsy is well documented.

Neurotherapy is based on the work of Professor M. Barry Sterman of the UCLA School of Medicine, Departments of Neurobiology and Behavioural Psychiatry.

Professor Sterman recognised how brain function can be altered and normalised by operant conditioning of the EEG. QEEG and neurotherapy has been endorsed by the American Psychological Association as within the venue of psychologists with appropriate training. Neurotherapy training to decrease slow wave activity and increase fast desynchronised EEG activity has been used for over 20 years to ameliorate ADHD and epilepsy and is well documented in the scientific literature. More recently EEG operant conditioning has been successfully applied to patients with mild traumatic brain injury.

If QEEG and Neurotherapy are so good, why aren't more clinicians using it?

Most psychologists and physicians simply have not been educated in the clinical applications of EEG biofeedback and are unaware of the existing research and clinical literature, in spite of the fact that the applications to anxiety, epilepsy and attentional deficits date back to the 1970's.

Furthermore, the instrumentation is expensive and requires serious study and training to use competently.

An estimated 700 clinicians are using neurotherapy and QEEG in the U.S.A. Although relatively new to Australia, a growing number of psychologists and psychiatrists are now beginning to use these tools each year to assist in client evaluation and thus in choosing appropriate treatment modalities.

QEEGs allow neurofeedback therapists to address the physiological basis of psychological, psychiatric, and neurological problems without medication. It and can also be used in conjunction with medication.

"An overview of the findings reveals numerous consistent and concordant
conventional EEG and QEEG findings among studies within the same DSM (III & IV) diagnoses"

Hughes, JR & Roy John, E (1999): Conventional and Quantitative Electroencephalography in Psychiatry.
Journal of Neuropsychiatry and Clinical Neurosciences 11:190-208. May. American Psychiatric Press Inc.

 

For appointments for QEEG assessments please contact:

Rosemary Boon, Registered Psychologist
M.A.(Psych), Grad. Dip. Ed. Studies (Sch.Counsel), Grad. Dip. Ed., B.Sc., MAPS
, AACNEM

Learning Discoveries Psychological Services

Telephone:
Sydney (+61 2) 9637 9998
Facsimile:
Sydney (+61 2) 9637 8799

Email:
ldps@bigpond.net.au

Address:
P.O. Box 47
Harris Park NSW 2150
Australia

References

Abarbanel, A (1995): Gates, states, rhythms and resonances: The scientific basis of neurofeedback training. Journal of Neurotherapy, 1, 15-38.

Andreassi, J.L (1985): Psychophysiology: Human behaviour and physiological response. 3rd edition. LaurenceErlbaum Associates. Hillsdale New Jersey.

Cantor, D.S (1999): An overview of quantitative EEG and its applications to neurofeedback.

Chabot, R J et al (1999): behavioral and electrophysiologic predictors of treatment response to stimulants in children with attention deficit disorders. Journal of child Neurology Vol 14 (6) 343-351.

Chabot, R.J, et al (1996): Sensitivity and specificity of QEEG in children with attention deficit or specific developmental learning disorders. Clinical Electroencephalography. Jan Vol 27 (1) 26-34.

Chabot, RJ & Serfontain (1996): Quantitative electroencephalographic profiles of children with attention deficit disorder. Biological Psychiatry Nov 15 (10): 951-963.

Clarke, A.R., et al. (1998). EEG Analysis in Attention-Deficit/Hyperactivity Disorder: a comparative study of two subtypes. Psychiatry Research. Oct 19(1): p. 19-29.

Crawford, H.J. & Barabasz, M (1996): Quantitative EEG magnitudes in children with and without attention deficit disorder during neurological screening and cognitive tasks. Child Study Journal. Vol 26 (1) 71-86.

Diro, F.M, MD (1989): The EEG Handbook ,. Little, Brown & Co. Boston, Massachusetts.

Duffy, F (2000) Neurotherapy: Editorial Comments. Clinical Electroencephalography. January Vol 31 (1) v-viii

Evans, J.R & Abarbanel, A (1999): Introduction to Quantitative EEG and Neurofeedback. Academic Press, Harcourt Place, London.

Gunkelman J & Hammond C (2001): The Art of Artifacting. Society for Neuronal Regulation, California, USA

Heinemann. Newton, Massachusetts.

Hughes, J (1994): EEG in Clinical Practice (2nd edition). Butterworth

Hughes, J.R & John, E.R (1999): Conventional and Quantitative Electroencephalography in Psychiatry. Journal of Neuropsychiatry and Clinical Neurosciences Vol 11(2): 190-208. May. American Psychiatric Press Inc.

Kuperman, S, et al (1996) Quantitative EEG differences in a nonclinical sample of children with ADHD and undifferentiated ADD. Journal of the American Academy of Child and Adolescent Psychiatry, p- Adolescent Psychiatry.

Loo, S & Camp, B (1997): QEEG differences amongst ADHD children with and without Oppositional Behaviours in Annual meeting of the Association for Applied Psychophysiology and Biofeedback.

Lubar, J F (1991): Discourse on the development of EEG diagnostics and biofeedback for attention deficit/hyperactivity disorders. Biofeedback and Self Regulation. Vol 16 (3) 201-225.

Lubar, J.F., J.N. Swartwood, and D.L. Timmerman,(1995): Quantitative EEG and auditory event-related potentials in the evaluation of Attention Deficit/Hyperactivity Disorder: Effects of methylphenidate and implications for neurofeedback training. Journal of Psychoeducational Assessment. ADHD Special, 1995: p. 143-160.

Lubar, J.O. & Lubar , J.F. (1984): Electroencephalographic biofeedback of SMR and beta for treatment of attention deficit disorders in a clinical setting. Biofeedback and Self Regulation. Vol 9 (1) 1-23.

McEvoy, L.K., Smith, M.E. and Gevins, A. (2000): Test-retest reliability of cognitive EEG. Clin Neurophysiology. Mar 1;111(3):457-463, 2000. 1,111(3): p. 457-463

Monastra, V.J .et al. (1999) Assessing attention deficit hyperactivity disorder via quantitative electroencephalography: An initial validation study. Neuropsychology, 13(3): p. 424-433.

Silberstein, R.B. (1995). Neuromodulation of neocortical dynamics. In P.L. Nunez (Ed) Neocortical Dynamics and Human EEG Rhythms. New York: Oxford University Press. 591-627.

Sterman, M.B.(1996): Physiological origins and functional correlates of EEG rhythmic activities: implications for self regulation. Biofeedback & Self Regulation, 21,3-33.

Thatcher, R.W.(1998): Normative EEG databases and EEG biofeedback. Journal of Neurotherapy, 2(4): p. 8-39.

Watson, C.G., Jacobs, L., & Herder, J (1979). Correlates of alpha, beta and theta wave production. Journal of Clinical Psychology. 35 (2) 364 - 369.

Zametkin, A.J. et al (1993): Brain metabolism in teenagers with ADHD. Archives of Gen. Psychiatry, 50,333-340.

See also The extensive Reference List  

QEEG Links:-

www.appliedneuroscience.com - Dr. Robert Thatcher's Neuroguide Software - many informative articles and links on QEEG

www.skiltopo.com - Prof. Barry Sterman and Dr. David Kaiser's Skil Topometric QEEG Software

 

 

 

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