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We have investigated functional connectivity of the default mode network (DMN) in normal aging and Alzheimer's disease (AD) using resting state fMRI at 3T. Images from young and elderly controls, and patients with AD were processed using spatial independent component analysis to identify the DMN. Functional connectivity was quantified using integration and indices derived from graph theory. Four DMN...
A preliminary study by Sneddon et al. (2005) using visual working memory tasks coupled with quantified EEG (qEEG) analysis distinguished mild dementia subjects from normal aging ones with a high degree of accuracy. The present study hypothesizes that a simpler task such as having a subject count backwards mentally by ones can be coupled with qEEG to yield a similar degree of accuracy for classifying...
We develop a Riemannian model of shape of solids in 3D space to map and compare localized hippocampal atrophy in normal aging, conversion to Alzheimer's disease (AD), and progression of the disorder over a 1-year period. The study is based on magnetic resonance scans of 428 subjects acquired 12 months apart by the Alzheimer's Disease Neuroimaging Initiative. Shape geodesics are used to model the spatiotemporal...
Certain learning the symptoms of earliest Alzheimer's disease (AD) involved learning, memory or planning problems. Currently, no medical tests are available to diagnose AD conclusively pre-mortem. However, a large number of Kungsholmen Project studies used cognitive tasks (i.e. visuospatial tasks, language tasks, etc.) attempted to find the preclinical cognitive marks of AD. These studies convincingly...
Magnetic resonance imaging (MRI) based whole brain atrophy has been proposed as an imaging marker in clinical trials to evaluate the effects of potential treatments for Alzheimer's disease (AD) due to its objectiveness and sensitivity confirmed by a number of studies. Our study uses an iterative principal component analysis (IPCA) technique to measure whole brain atrophy from sequential MRI scans...
Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apoptosis that provokes age-dependant decline of sensory processing, motor performance, and cognitive function. Neural redundancy and plastic remodelling of brain networking, also secondary to mental and physical training, promotes maintenance of brain activity in healthy elderly for everyday life and fully productive...
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