Looking into the functional architecture of the brain with diffusion MRI

By Denis Le Bihan. Nature Reviews Neuroscience, 2003

1,585 citations recorded by the source corpus.

Subfields: Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/87ffbb51c2b65b8688c176914f7472c9856893a0

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In Orthopedics and Sports Medicine

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Imaging the developing brain: what have we learned about cognitive development? (2005, positive): “that can detect changes in white matter microstructure based on properties of diffusion [ 59 ,60].”
Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics (2007, methodology): “Magnetic resonance diffusion tensor imaging (DTI) is sensitive to water diffusion characteristics and has been developed as a tool for investigating the local properties of brain tissues such as white matter tract”
Microstructural maturation of the human brain from childhood to adulthood (2008, positive): “Diffusion tensor MRI (DTI) is a non-invasive tool that provides unique information about tissue microstructure, including indirect measures of myelination and axonal growth, and may be more sensitive than conventional imaging (Basser et al., 1994; Beaulieu, 2002; Le Bihan, 2003).”
Diffusion tensor imaging of adult age differences in cerebral white matter: relation to response time (2004, result): “This result confirmed our initial prediction and is similar to findings of O’Sullivan et al. (2001), Pfefferbaum et al.”
Q‐ball imaging (2004, methodology): “[1] we can derive the ODF for Gaussian diffusion.”
An integrative model for neuronal activity-induced signal changes for gradient and spin echo functional imaging (2009, methodology): “As mentioned above, the IV signal can experimentally be attenuated by employing diffusion-weighting bi-polar gradients (Boxerman et al., 1995a; Duong et al., 2003; Le Bihan, 2003; Lee et al., 1999, 2002; Song et al., 1994, 1995, 2003).”
Diffusion tensor imaging of neurodevelopment in children and young adults (2005, background): “Diffusion tensor imaging (DTI) of water mobility in tissue may provide a more sensitive measure of the changes in the brain's microstructure with maturation (Le Bihan, 2003).”
Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure. (2010, background): “Cerebral Cortex March 2010;20:534--548 doi:10.1093/cercor/bhp118 Advance Access publication June 11, 2009”
Artifacts and pitfalls in diffusion MRI (2006, background): “The most advanced application is certainly that of fiber tracking in the brain, which in combination with functional MRI (fMRI) opens a new window into the important issue of brain connectivity (2).”
Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. (2010, background): “Diffusion tensor imaging (DTI) is sensitive to degree and direction of water molecule permeability (Beaulieu 2002; Le Bihan 2003), enabling in vivo imaging of WM microstructure, yielding complementary information to volumetry (Abe et al. 2008; Fjell et al. 2008).”
Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. (2009, background): “Considerable progress has been made in looking into the brain anatomical circuitry with the development of diffusion MRI that can characterize the orientation of white matter (WM) fiber bundles by detecting underlying water molecule diffusion (for a review, see Le Bihan 2003).”