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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.
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.
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
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  for a recent review). With this…
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.
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 model…
The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study †
- Derek K. Jones
- MathematicsMagnetic 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.
Symmetries in human brain language pathways correlate with verbal recall
- M. Catani, M. Allin, Derek K. Jones
- Psychology, BiologyProceedings of the National Academy of Sciences
- 23 October 2007
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.
Resting GABA concentration predicts peak gamma frequency and fMRI amplitude in response to visual stimulation in humans
- S. Muthukumaraswamy, R. Edden, Derek K. Jones, J. Swettenham, K. Singh
- Biology, PsychologyProceedings of the National Academy of Sciences
- 19 May 2009
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.
RESTORE: Robust estimation of tensors by outlier rejection
Results from both simulated and clinical diffusion data sets indicate that the RESTORE method improves tensor estimation compared to the commonly used linear and nonlinear least‐squares tensor fitting methods and a recently proposed method based on the Geman–McClure M‐estimator.