DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection
By Patric Hagmann, Jean-Philippe Thiran, Lisa Jonasson, Pierre Vandergheynst, Stephanie Clarke, Philippe Maeder, Reto Meuli. NeuroImage, 2003
356 citations recorded by the source corpus.
Subfields: Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/38924bee61c481d42ab2ab59db38e8be04e34ecc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Pediatrics, Perinatology and Child Health
- Heidi Johansen-Berg
- Olaf Sporns
- Jacques-Donald Tournier
- Saâd Jbabdi
- W. I. Tseng
- Alan Connelly
- Fernando Calamante
- Daniel C. Alexander
In Radiology, Nuclear Medicine and Imaging
- Olaf Sporns
- Jacques-Donald Tournier
- Heidi Johansen-Berg
- Alan C. Evans
- Alan Connelly
- Saâd Jbabdi
- Fernando Calamante
- Yong He
Citations in the corpus
- Mapping the Structural Core of Human Cerebral Cortex (2008, background): “Recent advances in diffusion imaging and tractography methods permit the noninvasive mapping of white matter cortico-cortical projections at high spatial resolution [21–25], yielding a connection matrix of interregional cortical connectivity [26–29].”
- Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (2006, methodology): “We perform tractography using the same sampling scheme that was shown to sample from the global probability of connection in Behrens et al. (2003b), and has also been used in Parker and Alexander (2003), Hagmann et al. (2003) , Jones and Pierpaoli (2005), and Lazar and Alexander (2005).”
- Conserved and variable architecture of human white matter connectivity (2011, neutral): “Recent advances in diffusion-based magnetic resonance imaging (MRI) techniques and complementary white matter tractography have made it possible to estimate the locations of anatomical highways spanning the cortex in the healthy and diseased human brain (Basser et al., 2000; Lazar et al., 2003; Behr”
- Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue (2005, background): “…it has been shown consistently until now that the lateral motor areas are 'invisible' to fibre tracking from the cerebral peduncles (Clark et al. 2003; Hagemann et al. 2003; Hendler et al. 2003; Parker et al. 2003; Watts et al. 2003; Barrick & Clark 2004; Kuo et al. 2004; Lazar et al. 2004).”
- Diffusion MRI at 25: Exploring brain tissue structure and function (2012, methodology): “An alternative group of techniques was developed a few years later that use probabilistic, rather than deterministic, models of diffusion (Behrens et al., 2003b; Hagmann et al., 2003; Lazar and Alexander, 2005; Parker et al., 2003).”
- Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template (2008, background): “…matter anatomy and brain normalization studies In the past, several DTI-based, single-subject white matter 3D atlases have been introduced (Catani et al., 2002; Hagmann et al., 2003; Makris et al., 1997; Mori et al., 2005; Pajevic and Pierpaoli, 1999; Stieltjes et al., 2001; Wakana et al., 2005).”
- Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: A feasibility study using quantitative diffusion tensor imaging and tractography (2006, methodology): “…possible (Conturo et al., 1999; Mori et al., 1999; for review Mori and van Zijl, 2002) and enables an in vivo ''dissection'' of several main fascicles (Catani et al., 2002, 2003; Mori et al., 2002; Hagmann et al., 2003) and the construction of atlases of white matter bundles (Wakana et al., 2004).”
- Global fiber reconstruction becomes practical (2011, background): “The reconstruction of long neuronal pathways is performed in small successive steps, either deterministically (Mori et al., 1999; Basser et al., 2000) or probabilistically (Hagmann et al., 2003; Parker et al., 2003) by following the local, voxelwise defined distribution of fiber directions.”
- Characterizing brain anatomical connections using diffusion weighted MRI and graph theory (2007, methodology): “In recent years, many other mSLT methods have been proposed (Tuch, 2002; Tench et al., 2002; Behrens et al., 2003; Hagmann et al., 2003).”
- Segmentation of subcomponents within the superior longitudinal fascicle in humans: a quantitative, in vivo, DT-MRI study. (2005, background): “Similarly, in recent years SLF has been investigated in a number of anatomical (Curnes et al., 1988; Shen et al., 1991; Aboitiz and Garcia, 1997; Mori et al., 1999; Axer et al., 2000; Catani et al., 2002; Mamata et al., 2002; Hagmann et al., 2003), functional (Chertkow and Murtha, 1997, Duffau et al”
- Measuring Brain Connectivity: Diffusion Tensor Imaging Validates Resting State Temporal Correlations (2008, positive): “This tensor can be also used find the dominant direction of diffusion and thus to track white matter tracts in DTI tractography (Hagmann et al., 2003); (Le Bihan et al.”
- Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information (2012, methodology): “…and/or structural information to guide the tractography process; for instance, using regions of interest based on anatomy (e.g. Catani et al., 2002; Hagmann et al., 2003; Wakana et al., 2007), or restricting propagation to the volume of the white matter (and optionally also grey matter) based on…”
- Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers (2008, methodology): “Methods to address this limitation within the DTI framework have been proposed (e.g. Behrens et al., 2003; Hagmann et al., 2003; Lazar et al., 2003; Poupon et al., 2001) but do not suggest a principled, direct and detailed imaging of complex fiber architecture.”
- Automated Probabilistic Reconstruction of White-Matter Pathways in Health and Disease Using an Atlas of the Underlying Anatomy (2011, methodology): “…model uncertainty in the image data by drawing samples from an assumed local distribution of diffusion directions each voxel (Behrens et al., 2003; Hagmann et al., 2003; Cook al., 2005; Parker and Alexander, 2005; Friman et al., 2006) or by boot-strapping (Jones and Pierpaoli, 2005; Lazar and…”