Researchers locate Biomarkers to detect Alzheimer disease.

Researchers have marked a new research study in understanding and detecting the complex disease- Alzheimer’s. They have located a biomarker. This means the patients going through mild cognitive impairment (MCI) will have a higher risk of developing dementia can be predicted.


The research team belongs to the Complutense University of Madrid (UCM). Mª Eugenia López García, the author of the research study and researcher from the Cognitive Neuroscience group of the UCM, said that with this research they work on finding two subnets in the form of theta and beta frequency bands and involving frontotemporal and frontal occipital regions, that are altered during evolution of Alzheimer’s Disease.

The research journal was published in Brain, and the theme is about the hyper synchronization and increased connectivity between brain regions, which is the main axis of changes and magnetoencephalography (MEG) as the tools used to detect it.

The research shows that patients suffering through Mild Cognitive Impairment (MCI) afterward develop Alzheimer’s Disease have an increase in synchronization, but as dementia starts to develop, the synchrony starts to decrease as a symptom of cortical network dysfunction.

Along with the UCM Faculty of Psychology, the San Carlos Clinic hospital, the Laboratory of Cognitive and Computational Neuroscience (UCM-UPM) of the Centre for Biomedical Technology, the University of the Balearic Islands and the University of La Laguna (Tenerife) are the other participants of the project.

For the research process, 54 patients having Mild Cognitive Impairment (MCI) were recruited and monitored every six months consecutively for a time span of three years. The researchers implemented magnetoencephalography records to measure the magnetic fields of the brain at the pre-phase, which is the beginning and the post phase, which the end of the study.

To estimate the brain synchrony, various were applied to these records, which allowed the researchers to have an explanatory model named “Model X.”

The biomarker is believed to help in understanding the terrible disease and making a discovery to improve knowledge about the complexity of the disease.