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Perisylvian language networks of the human brain
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. Expand
Virtual in Vivo Interactive Dissection of White Matter Fasciculi in the Human Brain
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. Expand
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
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. Expand
ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data
Introduction Diffusion tensor imaging (DTI) is becoming a standard addition to routine MR imaging for investigating microstructural tissue properties (e.g., see [1] for a recent review). With thisExpand
Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics
This protocol describes the MRI data acquisition and analysis protocols required for TBSS studies of localized change in brain connectivity across multiple subjects, and aims to solve crucial issues of cross-subject data alignment, allowing localized cross- subject statistical analysis. Expand
Symmetries in human brain language pathways correlate with verbal recall
It is suggested that the degree of lateralization of perisylvian pathways is heterogeneous in the normal population and, paradoxically, bilateral representation, not extreme lateralization, might ultimately be advantageous for specific cognitive functions. Expand
Diffusion‐tensor MRI: theory, experimental design and data analysis – a technical review
This article treats the theoretical underpinnings of diffusion‐tensor magnetic resonance imaging (DT‐MRI), as well as experimental design and data analysis issues. We review the mathematical modelExpand
The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study †
  • Derek K. Jones
  • Mathematics, Medicine
  • Magnetic resonance in medicine
  • 1 April 2004
The results challenge the recently proposed notion that a set of six icosahedrally‐arranged orientations is optimal for DT‐MRI and show that at least 20 unique samplingorientations are necessary for a robust estimation of anisotropy, whereas at least 30 unique sampling orientations are required for a strong estimation of tensor‐orientation and mean diffusivity. Expand
Resting GABA concentration predicts peak gamma frequency and fMRI amplitude in response to visual stimulation in humans
The results are supportive of recent theories suggesting that these functional neuroimaging metrics are dependent on the excitation/inhibition balance in an individual's cortex and have important implications for the interpretation of functional imaging results, particularly when making between-group comparisons in clinical research. Expand
Twenty‐five pitfalls in the analysis of diffusion MRI data
25 pitfalls of diffusion MRI analysis are assembled into a single article, which should serve as a useful reference for those embarking on new diffusion MRI‐based studies, and as a check for those who may already be running studies but may have overlooked some important confounds. Expand