Brain wave characteristics were discovered in a recent study that looked at the EEG patterns of patients under anaesthesia. These findings may help anesthesiologists recognise when patients are entering that deeper degree of unconsciousness. By preventing patients from developing that condition, they may be able to reduce the risk of postoperative brain injury.
The work was published in the Proceedings of the National Academy of Sciences. Brain activity frequently slows down as patients go under general anaesthesia and become asleep. Burst suppression, a deeper level of unconsciousness brought on by higher anaesthetic doses, is linked to cognitive deficits after the patient awakens.
One of these different patterns was discovered in the brain’s alpha waves (which have a frequency ranging from eight to fourteen cycles per second). When patients were unconscious, the magnitude of these waves began to fluctuate. The pattern of this waxing and waning in amplitude, or amplitude modulation, altered as patients progressed further into sleep.
“If you track this modulation as it gets deeper or shallower, you have a very principled way to track the level of unconsciousness under anaesthesia,” said Emery Brown, the Edward Hood Taplin Professor of Medical Engineering and Computational Neuroscience and a member of MIT’s Picower Institute for Learning and Memory and the Institute for Medical Engineering and Science.
Brown is the senior author of the new study, which appears this week in the Proceedings of the National Academy of Sciences. The lead authors of the paper are Picower Institute research scientist Elie Adam, Ohyoon Kwon ’20, and graduate student Karla Montejo.
Brain waves, which are generated by synchronized neuronal activity, oscillate at different frequencies depending on what kind of task the brain is performing. When the brain is strongly engaged in mental activity, it produces higher-frequency beta (15-30 hertz) and gamma (greater than 30 hertz) oscillations, which are believed to help organize information and enhance communication between different brain regions.
Commonly used anaesthesia drugs such as propofol have a significant effect on these oscillations. During anaesthesia induced by propofol or other anaesthetics that increase the effectiveness of GABAergic inhibitory receptors in the brain, the brain enters a state of unconsciousness known as slow-delta-alpha (SDA). This state is characterized by slow (0.1-1 hertz), delta (1-4 hertz) and alpha (8-14 hertz) oscillations.
With higher doses of these anaesthetic drugs, the brain can fall into an even deeper state of unconsciousness. When in this state, known as burst suppression, EEG recordings from the brain show long periods of inactivity, punctuated by brief bursts of low-amplitude oscillations. When patients enter this state, they are more likely to experience postoperative confusion, delirium, and memory loss. These effects, which can last for hours, days, weeks, or months, are more common in elderly patients.
SDA and burst suppression produce distinctive EEG patterns that have been well-studied. However, they have been studied as separate brain states; what happens during the transition between the two states is less clear. That transition is what the MIT team set out to analyze in this study.
To do that, the researchers studied 10 healthy volunteers and 30 patients who were undergoing surgery. Most of the patients received propofol intravenously, and the rest received sevoflurane, a commonly used anaesthetic gas. Both of these drugs act on GABA receptors in the brain, which reduce neuron excitability.
As the dosage of propofol was increased, patients showed two distinctive patterns of change in their EEGs. The first pattern was seen in the alpha waves, which started to wax and wane. As the dose increased, waxing was shortened and waning was prolonged, until the patient reached the state of burst suppression.
“You can see a very strong modulation, which is always there. As the modulation gets to be more profound, it eventually flattens out, and that’s when the brain reaches the deeper state,” Brown said.
When the amount of the drug was reduced, the amplitude of the alpha waves began to increase again.
The researchers also found a distinctive pattern in the slow and delta waves seen in the patients’ EEG readings. Slow and delta oscillations are the slowest brain waves, and as the amount of drug was increased, the frequency of these waves became slower and slower, reflecting a decrease in brain activity.
The researchers hypothesise that propofol exerts these effects through its influence on neuron metabolism. The drug is postulated to disrupt the production of ATP, the molecules that cells use to store energy. As ATP production declines, neurons eventually become unable to fire, leading to burst suppression.
“This is consistent with the observation that burst suppression is very frequent in older patients, because their metabolic state may be less well-regulated than that of younger patients,” Brown said.
The findings could offer anesthesiologists more refined control over a patient’s state of unconsciousness during surgery, says Brown. He now hopes to develop an algorithm that could generate a warning that a patient is approaching burst suppression, which could be displayed on a monitor in the operating room. He says that anesthesiologists could also learn to make that determination by looking for these patterns in a patient’s EEG.
“One of the reasons we’re excited about this is that it’s something you can actually see in the raw EEG,” Brown said. “Now that we have pointed out these patterns, they’re very easy to see.”
(with inputs from ANI)
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