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Derek K. Jones

Researcher at Cardiff University

Publications -  405
Citations -  37952

Derek K. Jones is an academic researcher from Cardiff University. The author has contributed to research in topics: Diffusion MRI & Tractography. The author has an hindex of 76, co-authored 375 publications receiving 33916 citations. Previous affiliations of Derek K. Jones include University of Edinburgh & Northumbria University.

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White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI

TL;DR: The physics of DW-MRI is reviewed, currently preferred methodology is indicated, and the limits of interpretation of its results are explained, with a list of 'Do's and Don'ts' which define good practice in this expanding area of imaging neuroscience.
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Perisylvian language networks of the human brain.

TL;DR: The anatomical findings are relevant to the evolution of language, provide a framework for Lichtheim's symptom‐based neurological model of aphasia, and constrain, anatomically, contemporary connectionist accounts of language.
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Virtual in vivo interactive dissection of white matter fasciculi in the human brain

TL;DR: The use of diffusion tensor magnetic resonance tractography to visualize the three-dimensional structure of the major white matter fasciculi within living human brain adds a new dimension to anatomical descriptions of the living humanbrain.
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Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging.

TL;DR: An algorithm is presented that minimizes the bias inherent in making measurements with a fixed set of gradient vector directions by spreading out measurements in 3‐dimensional gradient vector space and this results in reduced scan times, increased precision, or improved resolution in diffusion tensor images.
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Diffusion-tensor MRI: theory, experimental design and data analysis - a technical review.

TL;DR: In this article, the theoretical underpinnings of diffusion-tensor magnetic resonance imaging (DT-MRI), as well as experimental design and data analysis issues are discussed. And new statistical methods have been developed to analyse DT-MRI data, and their potential uses in clinical and multi-site studies.