“The ability to identify people who are not showing memory problems and other symptoms but may be at a higher risk for cognitive decline is a very important step toward developing new ways for doctors to detect Alzheimer’s disease,” said Susan Resnick, PhD, with the National Institute on Aging in Baltimore, who wrote an accompanying editorial.
For the study, researchers used brain scans to measure the thickness of regions of the brain’s cortex in 159 people free of dementia with an average age of 76. The brain regions were chosen based on prior studies showing that they shrink in patients with Alzheimer’s dementia. Of the 159 people, 19 were classified as at high risk for having early Alzheimer’s disease due to smaller size of particular regions known to be vulnerable to Alzheimer’s in the brain’s cortex, 116 were classified as average risk and 24 as low risk. At the beginning of the study and over the next three years, participants were also given tests that measured memory, problem solving and ability to plan and pay attention.
The study found that 21 percent of those at high risk experienced cognitive decline during three years of follow-up after the MRI scan, compared to seven percent of those at average risk and none of those at low risk.
“Further research is needed on how using MRI scans to measure the size of different brain regions in combination with other tests may help identify people at the greatest risk of developing early Alzheimer’s as early as possible,” said study author Bradford Dickerson, MD, of Massachusetts General Hospital in Boston and a member of the American Academy of Neurology.
The study also found 60 percent of the group considered most at risk for early Alzheimer’s disease had abnormal levels of proteins associated with the disease in cerebrospinal fluid, which is another marker for the disease, compared to 36 percent of those at average risk and 19 percent of those at low risk.
The study, performed by Dickerson and collaborator David Wolk, MD, of University of Pennsylvania in Philadelphia and a member of the American Academy of Neurology, using data collected as part of the Alzheimer’s Disease Neuroimaging Initiative, was supported by the National Institute on Aging (NIA), the National Institute of Biomedical Imaging and Bioengineering (both part of the National Institutes of Health), Abbott, AstraZeneca AB, Bayer Schering Pharma AG, Bristol-Myers Squibb, Eisai Global Clinical Development, Elan Corporation, Genentech, GE Healthcare, GlaxoSmithKline, Innogenetics, Johnson and Johnson, Eli Lilly and Co., Medpace, Inc., Merck and Co., Inc., Novartis AG, Pfizer Inc, F. Hoffman-La Roche, Schering-Plough, Synarc, Inc., the Alzheimer's Association, Alzheimer's Drug Discovery Foundation, with participation from the U.S. Food and Drug Administration and the Dana Foundation. Funding for this particular data analysis came from the NIA and the Alzheimer’s Association.
The American Academy of Neurology, an association of 24,000 neurologists and neuroscience professionals, is dedicated to promoting the highest quality patient-centered neurologic care. A neurologist is a doctor with specialized training in diagnosing, treating and managing disorders of the brain and nervous system such as stroke, Alzheimer’s disease, epilepsy, Parkinson’s disease and multiple sclerosis.
For more information about the American Academy of Neurology, visit http://www.aan.com or find us on Facebook, Twitter, Google+ and YouTube.
Rachel L. Seroka | American Academy of Neurology
Rutgers-led innovation could spur faster, cheaper, nano-based manufacturing
14.02.2018 | Rutgers University
New study from the University of Halle: How climate change alters plant growth
12.01.2018 | Martin-Luther-Universität Halle-Wittenberg
Quantum computers may one day solve algorithmic problems which even the biggest supercomputers today can’t manage. But how do you test a quantum computer to...
For the first time, a team of researchers at the Max-Planck Institute (MPI) for Polymer Research in Mainz, Germany, has succeeded in making an integrated circuit (IC) from just a monolayer of a semiconducting polymer via a bottom-up, self-assembly approach.
In the self-assembly process, the semiconducting polymer arranges itself into an ordered monolayer in a transistor. The transistors are binary switches used...
Breakthrough provides a new concept of the design of molecular motors, sensors and electricity generators at nanoscale
Researchers from the Institute of Organic Chemistry and Biochemistry of the CAS (IOCB Prague), Institute of Physics of the CAS (IP CAS) and Palacký University...
For photographers and scientists, lenses are lifesavers. They reflect and refract light, making possible the imaging systems that drive discovery through the microscope and preserve history through cameras.
But today's glass-based lenses are bulky and resist miniaturization. Next-generation technologies, such as ultrathin cameras or tiny microscopes, require...
Scientists from the University of Zurich have succeeded for the first time in tracking individual stem cells and their neuronal progeny over months within the intact adult brain. This study sheds light on how new neurons are produced throughout life.
The generation of new nerve cells was once thought to taper off at the end of embryonic development. However, recent research has shown that the adult brain...
15.02.2018 | Event News
13.02.2018 | Event News
12.02.2018 | Event News
22.02.2018 | Life Sciences
22.02.2018 | Physics and Astronomy
22.02.2018 | Earth Sciences