Subjects at risk of Alzheimer's may now be able to delay the onset of their first symptoms

Based on the results of her most recent clinical study published today in the online version of Brain: A Journal of Neurology, Dr. Sylvie Belleville, PhD in neuropsychology, the principal author of this study and Director of Research at the Institut universitaire de gériatrie de Montréal (IUGM), which is affiliated with the Université de Montréal, has found that for elderly subjects at risk of developing Alzheimer's disease, hope may lie in brain plasticity.

“Brain plasticity refers to the brain's remarkable ability to change and reorganize itself. It was long thought that brain plasticity declined with age, however, our study demonstrates that this is not the case, even in the early stages of Alzheimer's disease”, declares Sylvie Belleville.

These findings open countless new avenues of research including the possibility of improving the plasticity of affected areas of the brain, and slowing the decline in plasticity through pharmacological means or lifestyle changes, thereby allowing subjects with Alzheimer's disease to enjoy several more symptom-free years.

The hypothesis behind this research was that certain cells traditionally involved in other brain processes could, through a simple memory training program, temporarily take over since they themselves are not yet affected. According to Dr. Belleville: “Our research has validated our hypothesis. Not only were we able to use functional imaging to observe this diversification, but we also noted a 33% increase in the number of correct answers given during a post-training memory task by subjects with mild cognitive impairment (MCI) who, incidentally, are ten times more likely to develop Alzheimer's disease”.

The training program that was used was designed to help elderly subjects with MCI develop strategies, such as the use of mnemonics, for example, and promote encoding and retrieval, such as word lists, for example, using alternative areas of the brain. “The hypothesis had already been raised, but our team was the first to provide scientific support, using a functional neuroimaging protocol”, added Sylvie Belleville.

Researchers worked with thirty elderly subjects: 15 healthy adults and 15 with MCI. Magnetic resonance imaging was used to analyse brain activity in the two groups 6 weeks prior to memory training, one week prior to training and one week after training. Before the memory training, magnetic resonance imaging in both the healthy elderly subjects and those with MCI showed activation in areas of the brain traditionally associated with memory. As expected, decreased activation was observed in subjects with MCI. After training, brain areas in elderly subjects with MCI showed increased activation in areas typically associated with memory, but also in new areas of the brain usually associated with language processing, spatial and object memory and skill learning.

According to Dr. Belleville: “Analysis of brain activity during encoding as measured before and after the training program, indicates that increased post-training activation in the right inferior parietal gyrus is associated with post-intervention improvement. The healthy area of the brain has taken over for the area that is compromised.”

Media Contact

William Raillant-Clark EurekAlert!

More Information:

http://www.umontreal.ca

All latest news from the category: Health and Medicine

This subject area encompasses research and studies in the field of human medicine.

Among the wide-ranging list of topics covered here are anesthesiology, anatomy, surgery, human genetics, hygiene and environmental medicine, internal medicine, neurology, pharmacology, physiology, urology and dental medicine.

Back to home

Comments (0)

Write a comment

Newest articles

Machine learning algorithm reveals long-theorized glass phase in crystal

Scientists have found evidence of an elusive, glassy phase of matter that emerges when a crystal’s perfect internal pattern is disrupted. X-ray technology and machine learning converge to shed light…

Mapping plant functional diversity from space

HKU ecologists revolutionize ecosystem monitoring with novel field-satellite integration. An international team of researchers, led by Professor Jin WU from the School of Biological Sciences at The University of Hong…

Inverters with constant full load capability

…enable an increase in the performance of electric drives. Overheating components significantly limit the performance of drivetrains in electric vehicles. Inverters in particular are subject to a high thermal load,…

Partners & Sponsors