In January of 2013, a team of researchers from Wake Forest School of Medicine published a paper in the Neurology journal Brain & Behavior describing the methodology of HIRREM™, the process more commonly known as Brainwave Optimization®. The HIRREM methods paper offers a thorough and precise description of the process, what it does and how it does it. It’s an invaluable resource for those who want to learn more about Brainwave Optimization, but be warned: it gets a bit technical. With sentences like, “Relaxation of neural oscillations through HIRREM appears to permit auto-calibration toward greater hemispheric symmetry and more optimized proportionation of regional spectral power” it’s not exactly light reading.
Fortunately, you don’t need a degree in neurology to understand how this process works. Everything you need to know is right there in the name HIRREM.
HIRREM stands for High-resolution, Relational, Resonance-Based Electroencephalic Mirroring. Let’s take each of those terms one at a time. For the sake of clarity, we’ll be taking them out of order.
Electroencephalic – We’ll take the biggest, ugliest word first. Electroencephalic refers to the electrical activity generated by the brain in the form of neural oscillations or brainwaves. Like any waveform, brainwaves have a frequency. EEG sensors placed on the scalp are designed to read these brainwaves across a broad spectrum of frequencies.
High-resolution – If you’ve bought a digital camera or a television or a computer monitor in the past decade, then you are probably already somewhat familiar with the concept of high versus low resolution. We don’t take pictures during Brainwave Optimization, but our sensors do gather a lot of data about your brainwave activity. To ensure that our computer has the clearest possible image of your brainwave patterns, we collect and [...]