The Electroencephalogram (EEG) is a non-invasive method for measuring brain activity.  It is perhaps one of the most popular and best utilized methods for capturing cortical information processing in modern neurophysiology. The information we can obtain from an EEG testing differs in a number of ways from the information delivered by other brain imaging methods, such as magnetic resonance imaging (MRI), or positron emission tomography (PET). The most distinctive EEG feature is its high temporal resolution; while MRI provides us with neuro-anatomical images of the brain as a snapshot in time, EEG captures the ongoing brain dynamics as it happens.

The EEG signal reflects changes in the neural oscillations occurring within milliseconds. This makes it an invaluable tool for investigation of the real time cortical information processing and for the development of fast and responsive brain-computer interfaces (BCI) that can capture, classify and feed back relevant characteristics of the signal collected from the brain. Neurofeedback is one instance of such brain computer interface.

You may wonder how exactly the tiny voltage fluctuations collected from the scalp (the EEG signal), connect to the neural activity generated in the brain, that characterises our mental and homeostatic states….

The human cerebral cortex can be divided in six distinct cortical layers, each of which contains different type of neurons and distinct connections with other sub-cortical and cortical areas. It is the activation (excitatory and inhibitory postsynaptic potentials) of the giant pyramidal cells in cortical layer V that is reflected in most of the EEG.

The electrical field produced by the neural activation of the pyramidal neurons travels from the cells to the scalp and decreases in voltage with every layer it passes through (dura mater, skull, skin) it needs to overcome to reach the scalp. Therefore there are some necessary conditions a neural signal needs to meet to be detected correctly on the scalp:

  • Large numbers– large populations of pyramidal cells need to be activated in the same fashion
  • Timing or Synchrony- this activation needs to occur synchroneously
  • Orientation – the orientation of the active neural population needs to be the same or the electrical fields would cancel each other out. In addition, the dipole orientation needs to be perpendicular to the scalp surface for the voltage with correct polarity to be recorded

The electrical fields produced by whole population of pyramidal neurons resembles the field generated by a single dipole (charged entity with a positive and negative ends). The dipole orientation and excitation state determines the negative and positive deflections that give the wavy appearance of the EEG.


EEG; brainwaves; qEEG; brain analysis

The EEG signal consists of electrical oscillations with different rhythmical characteristics referred to as brainwaves. The brainwave spectrum reflects the individual’s state of arousal, the ‘tone’ of the nervous system and the dynamics of cortical relaxation and activation cycles. The qEEG spectrum analysis reveals the patterns of individual’s cortical information processing. Although operating in a continuous spectrum, brainwaves are commonly divided into frequency bandwidths to describe their function. These functional characteristics of the brainwaves, alongside with the loci of their generation lay in the core of the analysis we conduct as part of your qEEG brain assessment.

More detailed information on the individual brain frequencies can be found here.