Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue

By G. Parker, Daniel C. Alexander. Philosophical Transactions of the Royal Society B: Biological Sciences, 2005

378 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/6796f00d5844180c6383c7c9847e5a2223f4b18f

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions (2009, methodology): “HARDI-based probabilistic tractography methods have recently been generalized to several existing DTbased methods [15], [18], [3], [40], [30], [41], [42], [22], [43].”
Diffusion MRI at 25: Exploring brain tissue structure and function (2012, background): “Many of the probabilistic methods have now been extended, to allow for estimation of more than one diffusion direction at each voxel (Behrens et al., 2007; Hosey et al., 2005; Parker and Alexander, 2005), providing that sufficient data is acquired to allow for such estimates to be reliably made.”
Track-density imaging (TDI): Super-resolution white matter imaging using whole-brain track-density mapping (2010, methodology): “au/software/), based on the probabilistic streamlines method (Behrens et al., 2003; Parker and Alexander, 2005) combined with the constrained spherical deconvolution (CSD) technique (Tournier et al.”
Automated Probabilistic Reconstruction of White-Matter Pathways in Health and Disease Using an Atlas of the Underlying Anatomy (2011, methodology): “Statistical extensions to local streamline tractography were introduced to model uncertainty in the image data by drawing samples from an assumed local distribution of diffusion directions at each voxel (Behrens et al., 2003; Hagmann et al., 2003; Cook et al., 2005; Parker and Alexander, 2005; Frima”
MRtrix: Diffusion tractography in crossing fiber regions (2012, background): “…now forms the basis of most higher-order ﬁber orientation estimation algorithms (Tuch et al., 2002; Jansons and Alexander, 2003; Tournier et al., 2004, 2011; Tuch, 2004; Alexander and Barker, 2005; Alexander, 2005; Anderson, 2005; O¨zarslan et al., 2006; Dell’Acqua et al., 2007; Tournier, 2010).”
Tractography - where do we go from here? (2011, neutral): “Several methods have successfully been able to model measurement noise together with the diffusion proﬁle and/or the fODFs (Behrens et al., 2003a; Berman et al., 2008; Jeurissen et al., 2011; Jones and Pierpaoli, 2005; Parker and Alexander, 2003, 2005; Sotiropoulos et al., 2010a).”
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (2006, background): “As shown in Hosey et al. (2005) and Parker and Alexander (2005) , such approaches dramatically reduce the problem of tractography in a multi-fibre field to an extent that it is tractable to probabilistic sampling schemes.”
Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution (2007, methodology): “There is valuable information in the distribution itself that can be used for fibre tracking, for example using probabilistic streamlines techniques (Behrens et al., 2003, 2007; Parker and Alexander, 2005), or to help differentiate crossing and ‘kissing’ fibre arrangements (Hong et al., 2006).”
Diffusion Tensor Imaging and Beyond (2011, neutral): “Deterministic approaches typically identify fiber orientations by finding the peaks of the diffusion ODF as identified by DSI (97,100,113,116,123,182–185), QBI (107,185), spherical deconvolution (107), or PAS-MRI (182).”
Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. (2009, background): “…by guest on 29 July 2018 Recently, probabilistic diffusion tractography methods, which focus on the connectivity probabilities rather than the actual WM pathways between voxels, have also been developed (Behrens et al. 2003; Parker and Alexander 2005).”
Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers (2008, methodology): “…to alternative strategies of diffusion encoding, many methods of high angular resolution diffusion encoding have now been reported in the literature including the present method DSI (Wedeen et al., 2005), as well as Q-ball imaging (Tuch et al., 2002) and HARDI imaging (Parker and Alexander, 2005).”
Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom (2011, neutral): “, 2004), and numerous HARDI-based methods (Parker and Alexander, 2005; Perrin et al., 2005; Seunarine et al., 2006; Behrens et al., 2007; Jbabdi et al., 2007; Savadjiev et al., 2008; Chao et al., 2007a; Seunarine et al., 2007; Haroon and Parker, 2007; Kaden et al., 2007; Jeurissen et al., 2011).”