Big data reveals the mystery of psychedelics

Using machine learning and big data, a team of Canadian researchers tried to understand how drugs affect the brain. In the near future, artificial intelligence could recommend drugs to treat various mental illnesses.

the The human brain is an infinitely complex organ, and we are far from understanding all of its mysteries. However, science is gradually discovering the workings and mechanisms of this mysterious system.

Over time we have better understand how the brain works. In the age of big data, scientists now have huge data sets at their disposal to use. And with the development of artificial intelligence systems, we have been able to better understand our own intelligence.

Recently, researchers have noticed this, for example Psychedelics can help People with mental disorders or illnesses. To better understand this phenomenon, Dr. Bzdok’s Canadian research team to use machine learning.

What is the network in standard mode?

The Default Mode Network (DMN) or Default Mode Network of the brain is a system that man only discovered in the 21st century. This system is very useful for understanding how drugs work.

it is the deepest neural processing layer our brain. DMN is activated when the brain is not focused on a task, such as looking out the window while reading a book.

Among all brain networks is the DMN the one that uses the most energy. But although the brain makes up only 2% of body mass, it already uses 20% of all body energy. The default mode network is thus one of the most energy-intensive systems in the human organism.

Otherwise, during human biological evolution, the parts of the brain involved in DMN are the ones that have increased in size the most. These are also the parts that have evolved the most compared to the brains of our ancestors, the great apes.

So why the Default Mode Network and why does it consume so much power? according to dr Bzdok, neuroscientific experiments suggest that this network plays the role to model probabilities.

In other words, The DMN helps people anticipate the future. It helps to perceive the world from different perspectives, to find solutions, to give value to the information around us and to make good decisions for the future.

For example, a frog cannot foresee hunt an insect two weeks in advance. The mental abilities that his cerebral circuitry gives him don’t allow him to. It can only respond to and process information from its current sensory environment.

L’Man thus enjoys an immense advantage thanks to the standard mode network that it developed during its development. Therefore, this network could be essential for human intelligence, thinking and consciousness.

DMN, Drugs and Mental Health

according to dr Bzdok’s team appears to find the DMN at the junction of several elements of the brain, including Creativity and most psychiatric disorders. It is therefore possible that mental illness is the flip side of the coin of man’s evolutionary advantage.

However, by correcting the standard mode network, it could be possible to treat these diseases. Psychedelics, also closely related to DMN, are a potential solution.

In fact, the brain needs to understand our world Filter most information captured by the senses. One of the effects of psychedelics is precisely to remove these filters that have evolved over time and affect the way our DMN processes and interprets data.

AI links reports of psychedelic experiences and brain data

How DMN works and the effects of psychedelics contains a lot of data. For example, machine learning can help to understand how different receptors and neurotransmitters in the brain are related to the different experiences people have after using substances.

With the help of artificial intelligence, the researchers led by Dr. Bzdoc Combine three sets of information separated for the first time. The first set of data consists of thousands of testimonials from people describing their experiences with psychedelics.

The second brings together receptor affinity data known for the various active ingredients. Finally, the third record collects information about the position of the various recipients of the brain and its density.

The researchers trained a machine learning system Using data analysis and natural language processing to determine the components of an experience with a psychedelic drug.

This AI now makes it possible to connect the experiences of a person the areas of the brain affected by the drug. It is therefore possible to know the specific effects of different parts of the brain under the influence of certain drugs.

The experiment, conducted by Canadian researchers at Dr. Bzdok team shows that machine learning can help understand the effects of drugs on the brain and its default mode network. Soon, AI could predict which drugs can help in the treatment of various mental illnesses. This would be a valuable asset for researchers, physicians and patients…

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