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New brain wave marker identified:
Using a tailor -made tool to analyze electrical activity from neurons. Consequently, researchers from Brown University have identified a brain -based biomarker that could be used to predict whether a slight cognitive impairment will turn into Alzheimer’s disease.
“We have detected a diagram in the electrical signals of brain activity which predicts which patients are most likely to develop the disease in two. Furthermore, a half years,” said Stephanie Jones, professor of neuroscience affiliated with Brown’s Carney Institute for Brain Science who co-directed research. Nevertheless, “Being able to observe in a non -invasive way a new early marker of the progression of Alzheimer’s disease. Therefore, in the brain for the first time is a very exciting step. Similarly, »»
The results were published in Imagery of neuroscience.
By working with collaborators new brain wave marker identified at the Completense University of Madrid in Spain. Similarly, the research team has analyzed the recordings of brain activity of 85 patients diagnosed with a slight cognitive impairment and monitored the progress of diseases in the coming years. Consequently, The records were carried out using magnetotepephalography. Therefore, or MEG – a non -invasive technique to record electrical activity in the brain – while patients were in a state of rest, their eyes closed.
Most of the methods to study the MEG recordings compress. However, on average the activity detected, which makes it difficult to interpret it at the neural level. Consequently, Jones. other Brown researchers have launched a calculation tool, called the toolbox for spectral events, which reveals neural activity as discreet events, showing exactly when and at what frequency occurs, how long it lasts and its strength or its weakness. The tool has become widely used and was cited new brain wave marker identified in more than 300 academic studies.
Using the toolbox of spectral events. the team examined brain activity events in patients with slight cognitive impairment, occurring in the beta frequency strip – a frequency that has been involved in the treatment of memory, which makes it important to study in Alzheimer’s disease, according to Jones. They discovered distinct differences in the beta events of the participants who developed Alzheimer’s disease in two. a half years, compared to those who have not done so.
Two. a half years before the diagnosis of their Alzheimer’s disease, patients produced beta events at a lower, shorter and lower pace. To our knowledge, it is the first time that scientists have examined beta events in relation to Alzheimer’s disease. “”
Danylyna SHPAKIVSKA, the first author of the study based in Madrid
Liquids and blood biomarkers can identify the presence of new brain wave marker identified toxic beta-amyloid plates and tau tangles-proteins that accumulate in the brain and are supposed to contribute to the symptoms of Alzheimer’s disease. A biomarker of brain activity itself represents a more direct method to assess how neurons react to this toxicity. said David Zhou, a postdoctoral researcher in the Jones laboratory in Brown who will lead the next phase of the project.
Jones plans that the toolbox for spectral events could be used by clinicians to diagnose Alzheimer’s disease before its progression.
“The signal we have discovered can help early detection,” said Jones. “Once our observation is reproduced. clinicians could use our toolbox for early diagnosis and also to check if their interventions work. »»
Meanwhile. Jones and his team will enter a new research phase, funded by a Zimmerman Innovation Prize in Brain Science of the Carney Institute.
“Now that we have discovered characteristics of the beta new brain wave marker identified event which predict the progression of Alzheimer’s disease. our next step is to study generation mechanisms using neuronal calculation modeling tools,” said Jones. “If we can recreate what is wrong in the brain to generate this signal. then we can work with our collaborators to test therapy that could be able to correct the problem. »»
Research was supported by the National Institutes of Health. including brain research through the progression of the innovative neurotechnology initiative (brain), in addition to the financing of Spanish agencies.
New brain wave marker identified
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