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Stephen E. Rose

Researcher at Commonwealth Scientific and Industrial Research Organisation

Publications -  292
Citations -  11404

Stephen E. Rose is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Diffusion MRI & Fractional anisotropy. The author has an hindex of 47, co-authored 283 publications receiving 10094 citations. Previous affiliations of Stephen E. Rose include King's College London & Biosecurity Australia.

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Dynamics of Gray Matter Loss in Alzheimer's Disease

TL;DR: In this article, the authors detected and mapped a dynamically spreading wave of gray matter loss in the brains of patients with Alzheimer's disease (AD) and visualized the loss pattern in four dimensions.
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Mapping hippocampal and ventricular change in Alzheimer disease.

TL;DR: These quantitative, dynamic visualizations of hippocampal atrophy and ventricular expansion rates in aging and AD may provide a promising measure to track AD progression in drug trials.
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Apparent Fibre Density: a novel measure for the analysis of diffusion-weighted magnetic resonance images.

TL;DR: This article presents and evaluates a novel method to modulate the FOD to account for changes in fibre bundle cross-sectional area that occur during spatial normalisation, and describes a novel approach for statistical analysis of AFD that uses cluster-based inference of differences extended throughout space and orientation.
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Loss of connectivity in Alzheimer's disease: an evaluation of white matter tract integrity with colour coded MR diffusion tensor imaging

TL;DR: Patients with probable Alzheimer's disease showed a highly significant reduction in the integrity of the association white matter fibre tracts, such as the splenium of the corpus callosum, superior longitudinal fasciculus, and cingulum, compared with normal controls.
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Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia.

TL;DR: Algorithms that can identify patterns of brain structure and function associated with Alzheimer's disease, schizophrenia, normal aging, and abnormal brain development based on imaging data collected in large human populations are described.