![what does eeg measure what does eeg measure](https://www.frontiersin.org/files/Articles/515216/frym-08-00096-HTML/image_m/figure-3.jpg)
We developed a unifying theory, called function-through-biased oscillations (FBO) hypothesis, that synthesizes the CTC and GBI theories. Function-Through-Biased Oscillations (FBO) Hypothesis While these existing theories have made important progress and justify the measurements of oscillatory power and phase they are based upon, there is evidence that these theories are incomplete and hence oscillatory power and phase measurements may be sub-optimal. In contrast, the second uses a gating-by-inhibition (GBI) hypothesis that suggests neuronal populations that are not related to the task are functionally inhibited by increased oscillatory power in specific frequency bands. neuronal firing occurs preferentially at the trough. The first hypothesis is communication-through coherence (CTC) whereby the brain attempts to optimize information transfer by synchronizing the timing of oscillatory activity at the sending and receiving sites i.e.
![what does eeg measure what does eeg measure](https://ars.els-cdn.com/content/image/3-s2.0-B9780128012383113224-f11322-01-9780128160756.jpg)
The two most influential theories that attempt to explain these rapid variations in behavior take advantage of measurements of oscillatory power and oscillatory phase. For example, hearing a tone compared to seeing something is realized by the brain by increasing excitability in auditory areas of the brain and decreasing excitability in visual ares of the brain. The brain regulates cortical excitability by changing specific properties of oscillations across different areas of the brain. We recently showed that this measurement is a better predictor of cortical excitability than the traditional measurements of power or phase.Ĭortical excitability, as measured by oscillatory activity, is a principal index of brain function. In substantial contrast, the principal measurement used in our model is based on instantaneous voltage amplitude of biased oscillations. Current methods to provide this assessment typically make measurements of the power or phase of oscillatory EEG activity. Initial studies of the method have shown a 65% increase in accuracy thereby addressing some of the limitations of scalp-recorded EEG recordings and improving results of EEG applications. Scientists at the National Center for Adaptive Neurotechnologies have developed a new method for measuring cortical excitability. Many neurological disorders and diseases depend on an accurate assessment of brain function using an electroencephalogram (EEG). Improved Model for EEG Measurement of Brain Function