EEG based Personalized Medicine in ADHD

Neurophysiological studies in ADHD have shown a relatively uniform picture with regards to EEG – QEEG data (based on group data). Most studies find excess slow brain activity (theta) (Hermens et al., 2004; Mann et al., 1992; Chabot and Serfontein, 1996; Clarke et al., 1998, 2001; Lazzaro et al., 1998, 1999) and a decreased fast brain activity (beta) (Hermens et al., 2004; Clarke et al., 1998; Mann et al., 1992; Lazzaro et al., 1998, 1999). Theta EEG activity is often associated with an “inattentive” or a dreamy state, and beta activity is often seen when the brain is very busy with for instance solving a cognitive task. Figure 1 shows an example of this based on the data of the Brain Resource International Brain Database of 275 patients with ADHD. In this example the increased theta and decreased beta can be clearly seen, with a frontal localization.

group data
Theta                              Absolute Beta                     Relative Beta

Figure 1: This figure shows the average brain activity (quantitative EEG – QEEG) of 275 children with ADHD, compared to a control group. On the left the increased theta EEG activity (p<.0001) can be seen, in the middle the absolute beta EEG activity (p<.0001) and on the left the decreased relative beta EEG activity (p<.0001). This deviant brain activity has a fronto-central localization. This pattern is found in almost all ADHD studies.

If one takes a look at the individual data, however, (see figure 2) a completely different picture emerges. In figure 2 the individual data of 36 random ADHD patients is represented drawn from this same Brain Resource International Brain Database. In the table below the following is represented Theta – Red; Alpha – Yellow and Beta – light blue. The quantative EEG data of these children – or QEEG’s – are compared to a normative database of more than 5000 healthy controls enabling an individual comparison. It can clearly be seen that indeed 47% of the ADHD patients have an increased theta activity. However, 5,6% of the patients show a decreased beta activity and 22% show an increased beta activity. The increased beta can be explained by the presence of beta spindles which occur in 20% of the cases of the ADHD children and which demand a different treatment strategy. The inter-individual variability within a behaviorally homogenous group such as ADHD patients thus is quite considerable.

QEEG data in ADHD based on individual data.

Figure 2: This figure shows the EEG data of 36 random children (4-digit ID codes) with ADHD from the same dataset as in figure 1. This time, however, the individual data are represented. Indeed some children show an increased theta EEG activity (47%), but only 5,6% of the children show a decreased beta EEG activity and 22% show an increased beta EEG activity. Note the contrast between the individual and group data.

Considering the fact that Ritalin does not have a clinically meaningful effect in 20-40% of the ADHD patients (Swanson et al., 1993; Gordon, 2007) is seems plausible that the cause of it is to be found in the interindividual variability of the brain functioning, as shown.

The above mentioned group of ADHD children is part of a large scale clinical investigation, and therefore all of these children were treated with a stimulant such as Ritalin. Consequently we tested the prior mentioned hypothesis. A group of 50 of those children were divided into different groups according to their individual EEG phenotype, as seen in figure 3. It turned out that only the group with frontal slow activity (frontal theta) responded well to treatment with stimulant medication (Methylphenidate: Ritalin), as measured by the improvement on a continuous performance test (CPT), whereas the other groups did not show any improvement on the CPT as a result of medication (Arns et al. 2008).

Comparable studies of ADHD have shown that patients who responded well to stimulant medication such as Ritalin indeed showed excess slow brain activity frontally (Delta en Theta: Clarke et al., 2002; Satterfield et al., 1972; Suffin & Emory, 1995). This is clearly a well identifiable ADHD sub-type that responds well to medication. This knowledge can very well be applied to personalizing ADHD treatment not only with respect to pharmacotherapy but also for EEG Biofeedback or Neurofeedback treatment.

Prevalence of EEG Phenotypes in ADHD and Controls

Figure 3: In the figure above the prevalence of the occurrence of the different EEG Phenotypes is shown for a group of ADHD children and a matched control group. It can clearly be seen that ADHD and control group differ particularly on op Frontal Slow, Slow Alpha Peak Frequency, Low Voltage en Frontal Alpha. This demonstrates that there is a great diversity of EEG patterns observed within a group of patients, but also within a group of ‘healthy’ controls. According to the literature these ADHD patients will all respond favourably to different medications, the Frontal Slows will respond best to Ritalin (Arns et al., 2008) and the Frontal Alpha will respond better to an SSRI (Suffin & Emory, 1995).

To Read the full Research report EEG PHENOTYPES PREDICT TREATMENT OUTCOME TO STIMULANTS IN CHILDREN WITH ADHD

For more background information on EEG Based Pesonalized Medicine also see: http://www.brainclinics.com/personalized-medicine

4 thoughts on “EEG based Personalized Medicine in ADHD

  1. We have just recieved the QEEG for my son, which seems to indiate (judging from all the red in the frontal areas) that he is not suited for medication. While I wait for the neurologist, is there a book or articles that go into what all this means at more of a lay person’s level?

  2. Thank you for the reply. We’ve just begun neurofeedback, and I have a second provider who is part of a integrative health center that I am looking at, but I’d like to have something I can sit and read and return to as questions come to me. I’m not afraid of the science and I’d like to know as much as possible.

  3. There is a great book called Getting Started with Neurofeedback by John Demos. It is a very easy read and a good introduction to neurofeedback. An excellent choice for beginners.

    You can also find more information online. One site that offers a nice client guide is http://growing.com/mind/index.htm . You can also visit bio-medical.com for a full listing of different biofeedback and neurofeedback organizations. Most have member lists so you can find a certified provider in your area. ISNR is probably your best bet. Give them a call and let them know about your interest in neurofeedback. You can also call me at Bio-Medical and I’ll be happy to offer some direction.

    Brian

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