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Heidi Johansen-Berg

Researcher at University of Oxford

Publications -  313
Citations -  60032

Heidi Johansen-Berg is an academic researcher from University of Oxford. The author has contributed to research in topics: Diffusion MRI & Motor learning. The author has an hindex of 98, co-authored 289 publications receiving 53234 citations. Previous affiliations of Heidi Johansen-Berg include Imperial College London & Wellcome Trust Centre for Neuroimaging.

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Advances in functional and structural MR image analysis and implementation as FSL.

TL;DR: A review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB) on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data.
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Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.

TL;DR: TBSS aims to improve the sensitivity, objectivity and interpretability of analysis of multi-subject diffusion imaging studies by solving the question of how to align FA images from multiple subjects in a way that allows for valid conclusions to be drawn from the subsequent voxelwise analysis.
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Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

TL;DR: A fully probabilistic framework is presented for estimating local probability density functions on parameters of interest in a model of diffusion, allowing for the quantification of belief in tractography results and the estimation of the cortical connectivity of the human thalamus.
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Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging

TL;DR: The results provide the first quantitative demonstration of reliable inference of anatomical connectivity between human gray matter structures using diffusion data and the first connectivity-based segmentation of gray matter.
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Plasticity in gray and white: neuroimaging changes in brain structure during learning

TL;DR: Human brain imaging findings of structural plasticity are reviewed and cellular and molecular level changes that could underlie observed imaging effects are discussed, to facilitate cross-talk between cellular and systems level explanations of how learning sculpts brain structure.