A team led by the Barcelona Beta Brain Research Center (BBRC), a research center of the Pasqual Maragall Foundation, has developed a new biomarker of brain aging based on more than 22,600 magnetic resonance images.
this new biomarkers this is the first time shown Presence of pathological changes of Alzheimer’s disease is associated with accelerated brain agingEven in cognitively healthy people.
study results, which is supported by La Caixa Foundationhelp better understand Association between the aging process of the brain and neurodegenerative diseasesIn view of the aging of the population, developing effective strategies is an urgent priority. Biomarkers are objective measurements that provide information about a disease or biological process.
In this brain agingsome morphological features, such as An altered thickness, or volume, in specific areas of the brain may indicate accelerated aging., Researchers have used machine learning models to analyze these parameters from magnetic resonance imaging.
This study is the first to demonstrate an association between the biological age of the brain and the presence of biomarkers and risk factors for Alzheimer’s disease. (such as the presence of amyloid and tau beta proteins or the APOE-4 genotype) in a total of 2,314 cognitively healthy or mildly cognitively impaired individuals. studies also show Association between brain aging and markers of neurodegeneration and cerebrovascular pathology., The findings, published in the scientific journal eLife, establish this new indicator as a potentially useful tool in the diagnosis of various brain diseases.
In this work, the research team trained a predictive model to calculate the brain age of healthy men and women, using as many 22,000 measurements Extracted from magnetic resonance imaging. these pictures are obtained from UK Biobank, a large-scale biomedical database containing genetic and health information on half a million UK participants. that’s the first time Barcelona Beta Brain Research CenterDedicated to the prevention of Alzheimer’s and the study of cognitive functions affected in healthy and pathological aging, applies machine learning techniques for the analysis of brain ageing, a method that has recently gained popularity due to its ability to identify relevant patterns from complex data.
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