Broadcast: News items

First evidence for higher state of consciousness found

Image created using brain imaging technology, showing changes in neural signal diversity while under the influence of LSD

Scientific evidence of a ‘higher’ state of consciousness has been found in a study led by the University of Sussex.

Neuroscientists observed a sustained increase in neural signal diversity – a measure of the complexity of brain activity - of people under the influence of psychedelic drugs, compared with when they were in a normal waking state.

The diversity of brain signals provides a mathematical index of the level of consciousness. For example, people who are awake have been shown to have more diverse neural activity using this scale than those who are asleep.

This, however, is the first study to show brain-signal diversity that is higher than baseline, that is higher than in someone who is simply ‘awake and aware’. Previous studies have tended to focus on lowered states of consciousness, such as sleep, anaesthesia, or the so-called ‘vegetative’ state.

The team say that more research is needed using more sophisticated and varied models to confirm the results but they are cautiously excited.

Professor Anil Seth, Co-Director of the Sackler Centre for Consciousness Science at the University of Sussex, said: “This finding shows that the brain-on-psychedelics behaves very differently from normal.  

“During the psychedelic state, the electrical activity of the brain is less predictable and less ‘integrated’ than during normal conscious wakefulness – as measured by ‘global signal diversity’.  

“Since this measure has already shown its value as a measure of ‘conscious level’, we can say that the psychedelic state appears as a higher ‘level’ of consciousness than normal – but only with respect to this specific mathematical measure.”

For the study, Michael Schartner, Dr Adam Barrett and Professor Seth of the Sackler Centre reanalysed data that had previously been collected by Imperial College London and the University of Cardiff in which healthy volunteers were given one of three drugs known to induce a psychedelic state: psilocybin, ketamine and LSD.

Using brain imaging technology, they measured the tiny magnetic fields produced in the brain and found that, across all three drugs, this measure of conscious level – the neural signal diversity – was reliably higher.

This does not mean that the psychedelic state is a ‘better’ or more desirable state of consciousness, the researchers stress; instead, it shows that the psychedelic brain state is distinctive and can be related to other global changes in conscious level (e.g. sleep, anaesthesia) by application of a simple mathematical measure of signal diversity. Dr Muthukumaraswamy who was involved in all three initial studies commented: “That similar changes in signal diversity were found for all three drugs, despite their quite different pharmacology, is both very striking and also reassuring that the results are robust and repeatable.”

The findings could help inform discussions gathering momentum about the carefully-controlled medical use of such drugs, for example in treating severe depression.

Dr Robin Cahart-Harris of Imperial College London said: “Rigorous research into psychedelics is gaining increasing attention, not least because of the therapeutic potential that these drugs may have when used sensibly and under medical supervision.  

“The present study’s findings help us understand what happens in people’s brains when they experience an expansion of their consciousness under psychedelics. People often say they experience insight under these drugs – and when this occurs in a therapeutic context, it can predict positive outcomes. The present findings may help us understand how this can happen.”

As well as helping to inform possible medical applications, the study adds to a growing scientific understanding of how conscious level (how conscious one is) and conscious content (what one is conscious of) are related to each other.

Professor Seth said: “We found correlations between the intensity of the psychedelic experience, as reported by volunteers, and changes in signal diversity. This suggests that our measure has close links not only to global brain changes induced by the drugs, but to those aspects of brain dynamics that underlie specific aspects of conscious experience.”  

The research team are now working hard to identify how specific changes in information flow in the brain underlie specific aspects of psychedelic experience, like hallucinations.

Notes for editors

‘Increased spontaneous MEG signal diversity for psychoactive doses of ketamine, LSD and psilocybin’ by Michael Schartner, Robin Cahart-Harris, Adam Barrett, Anil Seth and Suresh Muthukumaraswamy is published on Wednesday 19 April 2017 in the journal Scientific Reports.  The corresponding author is Professor Seth. 

Media enquiries, including interview requests, should be sent to James Hakner, Media Relations Manager: 01273 877966 | press@sussex.ac.uk

The work was funded in part by a donation from the Dr Mortimer and Theresa Sackler Foundation. The original LSD and psilocybin studies were funded by the Beckley Foundation.  

In a striking coincidence, the release date of this paper (19th April, 2017) comes precisely 74 years to-the-day after Albert Hoffman – who first synthesized LSD in 1938 – conducted his first ‘self-experiment’ to discover its psychological effects.  This date, 19th April 1943, is widely known as ‘bicycle day’ in honour of Hoffman’s bicycle ride home following this first LSD trip.  See
https://en.wikipedia.org/wiki/History_of_lysergic_acid_diethylamide

Professor Anil Seth is based in the School of Engineering and Informatics at the University of Sussex and is Co-Director of the Sackler Centre for Consciousness Science. Adam Barrett and Michael Schartner are also at the Sackler Centre (Dr. Schartner has since moved to a postdocoral position in Geneva).

Dr Robin Cahart-Harris is head of psychedelic research at Imperial College London and Dr Muthukumaraswamy is in the Faculty of Medical and Health Sciences at the University of Auckland.  

 

 


Posted on behalf of: School of Engineering and Informatics
Last updated: Wednesday, 19 April 2017

Share:

If you'd like to leave a comment, enter your ITS username, password, and your comment. The comment may need approval before it is displayed, so don't expect your comment to appear right away.

By submitting a comment you are agreeing to the Acceptable Use Policy.