Researchers at a university in Sweden are using acid and ketamine to better understand the workings of the brain, which would then lead to the development of artificial intelligence.
The researchers, based at Lund University in Lund, Sweden, “have developed a technique for simultaneously measuring electrical signals from 128 areas of the brain in awake rats,” the school said in a press release earlier this year.
The study has drawn recent media coverage from both Reuters and the British tabloid Metro.
The university said that the researchers have “then used the information to measure what happens to the neurons when the rats are given psychedelic drugs,” with the results showing “an unexpected and simultaneous synchronisation among neurons in several regions of the brain.”
Pär Halje, a researcher in neurophysiology at Lund University whose team worked on the study, conceived of the “idea that electrical oscillations in the brain could be used to teach us more about our experiences” years ago, according to the release.
Halje’s team “was studying rats with Parkinson’s disease that had problems with involuntary movements,” when the researchers “discovered a tone – an oscillation or wave in the electrical fields – of 80 hertz in the brains of the rats with Parkinson’s disease” that “turned out that the wave was closely connected to the involuntary movements.”
“A Polish researcher had observed similar waves after giving rats the anaesthetic ketamine. The ketamine was given at a low dose so that the rats were conscious, and the equivalent dose in a human causes psychedelic experiences. The waves they saw were in more cognitive regions of the brain than in the rats with Parkinson’s, and the frequency was higher, but that still made us consider whether there were links between the two phenomena. Perhaps excessive brain waves in the motor regions of the brain cause motor symptoms, while excessive waves in cognitive regions give cognitive symptoms,” Halje said in a statement.
Halje’s team, the university said, “has developed a method that uses electrodes to simultaneously measure oscillations from 128 separate areas of the brain in awake rat.”
“For several of these areas, it is the first time anyone has successfully shown how individual neurons are affected by LSD in awake animals. When we gave the rats the psychedelic substances LSD and ketamine, the waves were clearly registered,” Halje said.
The research team’s findings were notable in that ketamine and LSD “resulted in the same wave patterns even if the signals from individual cells differed,” even though the drugs are known to affect different receptors within the brain.
“When the rats were given LSD, researchers saw that their neurons were inhibited – they signalled less – in all parts of the brain. Ketamine seemed to have a similar effect on the large neurons – pyramidal cells – which saw their expression inhibited, while interneurons, which are smaller neurons that are only collected locally in tissue, increased their signalling,” the university explained.
Halje said that activity “in the individual neurons caused by ketamine and LSD looks quite different, and as such cannot be directly linked to the psychedelic experience.”
“Instead, it seems to be this distinctive wave phenomenon – how the neurons behave collectively – that is most strongly linked to the psychedelic experience,” he said.
“The oscillations behave in a strange way. One might think that a strong wave starts somewhere, which then spreads to other parts of the brain. But instead, we see that the neurons’ activity synchronises itself in a special way – the waves in the brain go up and down essentially simultaneously in all parts of the brain where we are able to take measurements. This suggests that there are other ways in which the waves are communicated than through chemical synapses, which are relatively slow.”
Halje is bullish on the model’s potential, saying that it could expand research into psychosis and that artificial intelligence may also unlock our understanding of consciousness.
His dream, the university said, is that the “model will help us in the hunt for the mechanisms behind consciousness and that the measurements may be a way to study how consciousness is shaped.”
“Given how drastically a psychosis manifests itself, there ought to be a common pattern that we can measure. So far, we have not had that, but we now see a very specific oscillation pattern in rats that we are able to measure,” he said.
He continued: “In light of the development of AI, it is becoming increasingly important to clarify what we mean by intelligence and what we mean by consciousness. Can self-awareness occur spontaneously, or is it something that needs to be built in? We do not know this today, because we do not know what the required ingredients for consciousness in our brains are. This is where it is exciting, the synchronised pattern we see, and whether this can help us to track down the neural foundations of consciousness.”
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