ULTIMATE COMPUTING - Quantum Consciousness Studies
ULTIMATE COMPUTING - Quantum Consciousness Studies
ULTIMATE COMPUTING - Quantum Consciousness Studies
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150 Anesthesia: Another Side of <strong>Consciousness</strong><br />
tend to become dilated with progression to plane four. The fourth stage of<br />
anesthesia is respiratory arrest and ensuing cardiovascular collapse. Muscles are<br />
flaccid, and pupils are widely dilated. Death will occur if anesthetic depth is not<br />
decreased from stage four (Grantham and Hameroff, 1985).<br />
Because of the risks of anesthetic overdose and the variable requirements of<br />
individual patients, anesthesiologists have sought methods to judge anesthetic<br />
depth in addition to the clinical signs enumerated by Snow and Guedel. Since the<br />
early 20th century, electroencephalography (EEG) has been recorded from<br />
anesthetized patients. EEG waves recorded at the scalp are thought to emanate<br />
from summated dendritic synaptic potentials (“dipole fields”) generated by<br />
pyramidal cells of the cerebral cortex. Scalp potentials generally range from 10 to<br />
200 microvolts, and in frequencies from several Hz to about 50 Hz. The<br />
frequency spectrum of the EEG is usually divided into 4 major classifications,<br />
delta: less than 4 Hz, theta: 4–8 Hz, alpha: 8–13 Hz, and beta: greater than 13 Hz.<br />
Generally, power at higher frequency decreases as anesthetic depth increases.<br />
Accordingly, efforts to derive an appropriate index of anesthetic depth have<br />
included attempts to quantify an EEG frequency below which most EEG power<br />
occurs. This involves a Fourier transform of raw EEG data into a<br />
frequency/power spectrum. One example is “spectral edge,” the frequency below<br />
which 95 percent of EEG power occurs (Rampil, 1981). As anesthetic depth<br />
increases, spectral edge roughly decreases. Other attempts to quantitatively assess<br />
EEG and anesthetic depth have included the plotting of EEG voltage in “phase<br />
space,” yielding phase portraits and chaotic attractors. Phase space plotting<br />
involves choosing an arbitrary “phase lag,” and plotting EEG amplitude at any<br />
point in time against the amplitude at that particular time plus the phase lag. This<br />
results in geometric phase portraits which may be analyzed for complexity, or<br />
“dimensionality” on a continuum of order and chaos. As patients become more<br />
anesthetized, the dimensionality of their EEG becomes more ordered, and less<br />
chaotic (Figures 7.2 and 7.3, Watt and Hameroff, 1987). <strong>Consciousness</strong> may thus<br />
be described as a manifestation of deterministic chaos somewhere in the<br />
brain/mind.<br />
In addition to observing activities of the brain, anesthesiologists must closely<br />
monitor other physiological functions of their patients during and immediately<br />
after surgery. Cardiovascular, pulmonary, neuromuscular, kidney, blood clotting,<br />
and other factors are carefully followed. A variety of technological advances in<br />
monitoring permit safer care of sicker patients for more complex procedures.<br />
Future monitoring may utilize even more advanced technologies. One possible<br />
example is the “biosensor” field effect transistors which are tiny membrane<br />
covered chips which can detect a variety of ions, molecules, drugs or hormones.<br />
Small enough to fit on the tip of a small catheter harmlessly inserted into a blood<br />
vessel or tissue, these biosensors connected to a computer can yield “on-line”<br />
monitoring of blood chemistry and many other functions. With the advent of<br />
nanotechnology, even tinier, more profoundly sensitive biosensors will<br />
materialize. The capability for monitoring nanoscale conformational dynamics of<br />
neural proteins (telemetrically or via very small implants) will lead, not only to<br />
more sensitive observation of brain function during anesthesia and surgery, but<br />
perhaps eventually to the manipulation of consciousness.