The model, which is based on advanced statistical techniques and artificial intelligence, allows to identify brain connections even when the signal is distorted or incomplete.
A New methodbased on advanced statistical techniques and artificial intelligence, which allows you to precisely analyze how Coordinate the different areas of the brainwas developed by a research team of the University of Malaga (UMA). Himself, Identify brain connections even when the signal is distorted or incomplete, and is applicable to contexts such as the study of neurodegenerative diseases such as the Alzheimer’s or the Parkinson.
To validate the model, the team He used a data sample that includes electroencephalography tests (EEG) made in children between four and eight years. In this way, they verified how the signals of the brain evolve in different profiles of children according to their reading abilities. The main advantage of this proposal, regarding more traditional techniques, is that it allows to know The Directorate of Communication between Brain Regions. That is, it can be shown that two areas are connected, and which of them begins the communication and which one receives it.
According to specialists, this advantage adds uncertainty in detection, which It allows to identify which connections are more reliable and which of them were the result of a fortuitous finding. “Until now, other methods analyzed the signal only once, like the one who measures how long does it take for a single day. In our case, we study the effect hundreds of timesobserving how some waves influence others, and we focus only on those connections that reproduce with much likely, “said Diego Castillo Barnes, UMA researcherin statements to the Foundation discovers.
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Application in aging or neurodegenerative diseases
Although this study was applied to the child brain, experts emphasize that it can be used in many other areas: from the study of aging or neurodegenerative diseases, to the analysis of language or the development of technologies that connect the brain with digital devices.
In this context, experts explained that the brain It is coordinated by electrical signals that travel in the form of wave. Some are slow and other fast, and each type has a different function. In addition, they coordinate with each other as an orchestra so that a person can pay attention, remember things or understand what is heard. In this way, they stated that one of the forms of coordination between brain waves is what is known as “Phase-amplitude coupling “that is, when a slow wave marks the rhythm, and a quick wave adjusts its intensity according to that rhythm.
The study, entitled ‘Bayesian Framework for Phase-Amplitude Cross-Frequency Couplenging Inference: Application to Reading Disability Detection‘Published in the magazine’Expert Systems with Applications‘, analyzes directionality in brain activity. This means that it is not just about whether there is a connection between regions, but also which of them is marks the rhythm and which follows the beat as “an orchestra where an instrument can carry the melody and others accompany it.” The brain distributes functions and responsibilities between different areas, so When a region fails, others can adapt and assume part of their role.
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Freepik.
Currently, the team is starting new lines of work in which this model is applied to the Epilepsy studywith the aim of better understanding how brain dynamics are organized and detecting alterations in their coordination. “The brain works like a complex orchestra: Each group of neurons has its role, but it must also follow the pace that others mark. Our model helps identify these dynamics and better understand how they organize, both in normal and pathological situations, “said Nicolás Gallego, work co -author.
Source: Ambito
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