Integrative brain imaging technologies. This project aims to develop quantitative metabolic imaging using simultaneous magnetic resonance imaging (MRI) and positron emission tomography (PET). The current generation of MR-PET scanners are capable of simultaneously acquiring MRI and PET data to enable quantitative anatomical, physiological and metabolic imaging. The project aims to develop new MRI methods for quantitative anatomical mapping, MR-based motion correction of dynamic PET scan data, and ....Integrative brain imaging technologies. This project aims to develop quantitative metabolic imaging using simultaneous magnetic resonance imaging (MRI) and positron emission tomography (PET). The current generation of MR-PET scanners are capable of simultaneously acquiring MRI and PET data to enable quantitative anatomical, physiological and metabolic imaging. The project aims to develop new MRI methods for quantitative anatomical mapping, MR-based motion correction of dynamic PET scan data, and joint estimation of physiological and metabolic organ activity. These advances will create innovative imaging technologies for advanced biomedical imaging research with a particular emphasis in healthy ageing.
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Discovery Early Career Researcher Award - Grant ID: DE140101749
Funder
Australian Research Council
Funding Amount
$379,480.00
Summary
A computational network model of the mental lexicon. Understanding a word's meaning is a challenge when learning a language and a capacity that is seriously affected in various disorders such as Alzheimer's disease, however little is known about how meaning is organised in the mental lexicon and evolves from childhood into old age. This project aims to build a detailed computational model integrating information available through the senses and structure in the language environment to derive a l ....A computational network model of the mental lexicon. Understanding a word's meaning is a challenge when learning a language and a capacity that is seriously affected in various disorders such as Alzheimer's disease, however little is known about how meaning is organised in the mental lexicon and evolves from childhood into old age. This project aims to build a detailed computational model integrating information available through the senses and structure in the language environment to derive a lexicon that covers most words people know. By distinguishing qualitative different types of meaning relations, this project will allow the prediction of the kind of information and processes required to understand words and an understanding of how this lexicon grows in childhood and declines in old age.Read moreRead less