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Alpha waves again gained interest in regards to an engineering approach to the science fiction challenge of psychokinesis, i.e. control of movement of a physical object using energy emanating from a human brain. In 1988, EEG alpha rhythm was used in a brain–computer interface experiment of control of a movement of a physical object, a robot.
This was the "posterior basic rhythm" (also called the "posterior dominant rhythm" or the "posterior alpha rhythm"), seen in the posterior regions of the head on both sides, higher in amplitude on the dominant side. It emerges with closing of the eyes and with relaxation, and attenuates with eye opening or mental exertion.
Kamiya (1968) demonstrated that the alpha rhythm in humans could be operantly conditioned. He published an influential article in Psychology Today that summarized research that showed that subjects could learn to discriminate when alpha was present or absent, and that they could use feedback to shift the dominant alpha frequency about 1 Hz ...
[23] Furthermore, they suggest that the alpha rhythm could be the "natural resonance frequency of the visual cortex during the waking state, whereas the alpha activity that appears in the drowsiness period at sleep onset could be indexing the hypnagogic imagery self-generated by the sleeping brain, and a phasic event in the case of REM sleep."
One second sample of an EEG alpha oscillations. This rhythm occurs at frequencies similar to the mu rhythm, although alpha oscillations are detected over a different part of the brain. The left motor cortex, or BA4, is highlighted in green on this left lateral view of the brain. This is the area over which mu rhythms are detected bilaterally.
The study, which was recently published in the Journal of the American Medical Directors Association, analyzed data on nearly 90,000 adults living in the U.K. who wore activity trackers between ...
Noise-driven harmonic oscillators realistically simulate alpha rhythm in the waking EEG as well as slow waves and spindles in the sleep EEG. Successful EEG analysis algorithms were based on such models. Several other EEG components are better described by limit-cycle or delayed-feedback oscillations.
Exercise is crucial for longevity, but fitness priorities change as you age through your 30s and 40s. A personal trainer said training for your age can help maintain a healthy, active life over ...