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New Alzheimer Disease Study Findings Recently Were Reported by Researchers at Jena University Hospital (Individualized Gaussian process-based...

July 28, 2014



New Alzheimer Disease Study Findings Recently Were Reported by Researchers at Jena University Hospital (Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects)

By a News Reporter-Staff News Editor at Mental Health Weekly Digest -- Investigators publish new report on Neurodegenerative Diseases. According to news reporting originating in Jena, Germany, by NewsRx journalists, research stated, "Structural imaging based on MRI is an integral component of the clinical assessment of patients with potential dementia. We here propose an individualized Gaussian process-based inference scheme for clinical decision support in healthy and pathological aging elderly subjects using MRI."

The news reporters obtained a quote from the research from Jena University Hospital, "The approach aims at quantitative and transparent support for clinicians who aim to detect structural abnormalities in patients at risk of Alzheimer's disease or other types of dementia. Firstly, we introduce a generative model incorporating our knowledge about normative decline of local and global gray matter volume across the brain in elderly. By supposing smooth structural trajectories the models account for the general course of age-related structural decline as well as late-life accelerated loss. Considering healthy subjects' demography and global brain parameters as informative about normal brain aging variability affords individualized predictions in single cases. Using Gaussian process models as a normative reference, we predict new subjects' brain scans and quantify the local gray matter abnormalities in terms of Normative Probability Maps (NPM) and global z-scores. By integrating the observed expectation error and the predictive uncertainty, the local maps and global scores exploit the advantages of Bayesian inference for clinical decisions and provide a valuable extension of diagnostic information about pathological aging. We validate the approach in simulated data and real MRI data."

According to the news reporters, the research concluded: "We train the GP framework using 1238 healthy subjects with ages 18-94 years, and predict in 415 independent test subjects diagnosed as healthy controls, Mild Cognitive Impairment and Alzheimer's disease."

For more information on this research see: Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects. Neuroimage, 2014;97():333-348. Neuroimage can be contacted at: Academic Press Inc Elsevier Science, 525 B St, Ste 1900, San Diego, CA 92101-4495, USA. (Elsevier - www.elsevier.com; Neuroimage - www.elsevier.com/wps/product/cws_home/622925)

Our news correspondents report that additional information may be obtained by contacting G. Ziegler, Jena Univ Hosp, Dept. of Neurol, Jena, Germany. Additional authors for this research include G.R. Ridgway, R. Dahnke and C. Gaser (see also Neurodegenerative Diseases).

Keywords for this news article include: Jena, Germany, Europe, Alzheimer Disease, Emerging Technologies, Gaussian Processes, Machine Learning, Neurodegenerative Diseases, Risk and Prevention

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Mental Health Weekly Digest


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