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Robert D. Henderson

Researcher at Royal Brisbane and Women's Hospital

Publications -  224
Citations -  7602

Robert D. Henderson is an academic researcher from Royal Brisbane and Women's Hospital. The author has contributed to research in topics: Amyotrophic lateral sclerosis & Medicine. The author has an hindex of 40, co-authored 202 publications receiving 5932 citations. Previous affiliations of Robert D. Henderson include Mayo Clinic & Wesley Hospital.

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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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Angiographically Defined Collateral Circulation and Risk of Stroke in Patients With Severe Carotid Artery Stenosis

TL;DR: Angiographic identification of collaterals assists in identifying patients with severe ICA stenosis at lower risk of stroke and TIA, both long term and perioperatively.
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Anticipating Mechanical Ventilation in Guillain-Barré Syndrome

TL;DR: While inherently unpredictable, the course of patients with severe GBS can be predicted on the basis of clinical information and simple bedside tests of respiratory function, and these data may be used in the decisions regarding admission to the intensive care unit and preparation for elective intubation.
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Effects of gender in amyotrophic lateral sclerosis.

TL;DR: There is a complex interaction between gender and clinical phenotypes in ALS and understanding the causes of the gender differences could give clues to processes that modify the disease.
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Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres

TL;DR: A novel statistical method to perform whole-brain fixel-based analysis called connectivity-based fixel enhancement (CFE), which uses probabilistic tractography to identify structurally connected fixels that are likely to share underlying anatomy and pathology.