Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

New computer program uses brain scans to assess risk of Alzheimer’s

20.06.2005


New York University School of Medicine researchers have developed a brain scan-based computer program that quickly and accurately measures metabolic activity in a key region of the brain affected in the early stages of Alzheimer’s disease. Applying the program, they demonstrated that reductions in brain metabolism in healthy individuals were associated with the later development of the memory robbing disease, according to a new study.



"This is the first demonstration that reduced metabolic activity in the hippocampus may be used to help predict future Alzheimer’s disease," says Lisa Mosconi, Ph.D., a research scientist in the Department of Psychiatry, who developed the computer program and led the new study. "Although our findings need to be replicated in other studies," she says, "our technique offers the possibility that we will be able to screen for Alzheimer’s in individuals who aren’t cognitively impaired."

Dr. Mosconi and colleagues have recently published the technical details of the program, called "HipMask," in the June 2005 issue of the journal Neurology. She will present the new findings on June 20 at the Alzheimer’s Association International Conference on Prevention of Dementia held in Washington.


The computer program is an image analysis technique that allows researchers to standardize and computer automate the sampling of PET brain scans. The NYU researchers hope the technique will enable doctors to measure the metabolic rate of the hippocampus and detect below-normal metabolic activity.

The technique grew out of years of research by Mony de Leon, Ed.D., Professor of Psychiatry and Director of the Center for Brain Health. His group was the first to demonstrate with CT and later with MRI scans that the hippocampus, a sea-horse shaped area of the brain associated with memory and learning, diminishes in size as Alzheimer’s disease progresses from mild cognitive impairment to full-blown dementia.

Yet until now there has been no reliable way to accurately and quickly measure the hippocampal area of the brain on a PET scan. The hippocampus is small and its size and shape are affected greatly in individuals with Alzheimer’s, making it difficult to sample this region. HipMask is a sampling technique that uses MRI to anatomically probe the PET scan.

MRI relies on electromagnetic energy to excite water molecules in the brain to create an anatomical map of the brain. The MRI was used in the study to determine the total volume of the hippocampus and then to define that portion (namely the HipMask) that was shared by all persons regardless of their disease status. PET employs radioactively labeled glucose to show the brain at work and the HipMask was applied to these scans to derive estimates of the hippocampal glucose metabolism.

The researchers followed 53 healthy, normal subjects between the ages of 54 and 80 for at least 9 years and in some cases for as long as 24 years. All subjects received two FDG-PET scans -- one at baseline and a follow-up after 3 years. Thirty individuals had a second follow-up scan after another seven years. Altogether there were 136 PET scans.

The researchers applied the HipMask to all 136 scans. The results showed that hippocampal glucose metabolism, as determined by the HipMask, was significantly reduced 15% to 40% on the first scan, compared to controls, of those 25 individuals who would later experience cognitive decline related to either mild cognitive impairment or to Alzheimer’s. The researchers found that the baseline hippocampal glucose metabolism was the only brain or clinical measure that predicted the future cognitive decline.

"Right now, we can show with great accuracy who will develop Alzheimer’s nine years in advance of symptoms, and our projections suggest we might be able to take that out as far as 15 years," says Dr. de Leon, whose longitudinal study is funded by the National Institutes of Health (NIH).

"Our basic results will need to be replicated in other studies and expanded to include PET data from diverse patient groups," adds Dr. De Leon. "But we’re confident this is a strong beginning, demonstrating accurate detection of early Alzheimer’s disease. Now we have a better tool to examine disease progression, and we anticipate this might open some doors to prevention treatment strategies."

Pamela Mcdonnell | EurekAlert!
Further information:
http://www.nyumc.org

More articles from Health and Medicine:

nachricht Study tracks inner workings of the brain with new biosensor
16.08.2018 | Rheinische Friedrich-Wilhelms-Universität Bonn

nachricht Foods of the future
15.08.2018 | Georg-August-Universität Göttingen

All articles from Health and Medicine >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Color effects from transparent 3D-printed nanostructures

New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference

Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...

Im Focus: Unraveling the nature of 'whistlers' from space in the lab

A new study sheds light on how ultralow frequency radio waves and plasmas interact

Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...

Im Focus: New interactive machine learning tool makes car designs more aerodynamic

Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.

When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...

Im Focus: Robots as 'pump attendants': TU Graz develops robot-controlled rapid charging system for e-vehicles

Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.

Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....

Im Focus: The “TRiC” to folding actin

Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.

Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

VideoLinks
Industry & Economy
Event News

LaserForum 2018 deals with 3D production of components

17.08.2018 | Event News

Within reach of the Universe

08.08.2018 | Event News

A journey through the history of microscopy – new exhibition opens at the MDC

27.07.2018 | Event News

 
Latest News

Smallest transistor worldwide switches current with a single atom in solid electrolyte

17.08.2018 | Physics and Astronomy

Robots as Tools and Partners in Rehabilitation

17.08.2018 | Information Technology

Climate Impact Research in Hannover: Small Plants against Large Waves

17.08.2018 | Life Sciences

VideoLinks
Science & Research
Overview of more VideoLinks >>>