Relevant bibliographies by topics / Microstructure informed tractography

Academic literature on the topic 'Microstructure informed tractography'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Microstructure informed tractography"

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Ocampo-Pineda, Mario, Simona Schiavi, François Rheault, Gabriel Girard, Laurent Petit, Maxime Descoteaux, and Alessandro Daducci. "Hierarchical Microstructure Informed Tractography." Brain Connectivity 11, no. 2 (March 1, 2021): 75–88. http://dx.doi.org/10.1089/brain.2020.0907.

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Girard, Gabriel, Alessandro Daducci, Laurent Petit, Jean-Philippe Thiran, Kevin Whittingstall, Rachid Deriche, Demian Wassermann, and Maxime Descoteaux. "AxTract: Toward microstructure informed tractography." Human Brain Mapping 38, no. 11 (August 2, 2017): 5485–500. http://dx.doi.org/10.1002/hbm.23741.

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Daducci, Alessandro, Alessandro Dal Palu, Alia Lemkaddem, and Jean-Philippe Thiran. "COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography." IEEE Transactions on Medical Imaging 34, no. 1 (January 2015): 246–57. http://dx.doi.org/10.1109/tmi.2014.2352414.

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Battocchio, Matteo, Simona Schiavi, Maxime Descoteaux, and Alessandro Daducci. "Bundle-o-graphy: improving structural connectivity estimation with adaptive microstructure-informed tractography." NeuroImage 263 (November 2022): 119600. http://dx.doi.org/10.1016/j.neuroimage.2022.119600.

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Grinberg, Farida, Ivan I. Maximov, Ezequiel Farrher, and N. Jon Shah. "Microstructure-informed slow diffusion tractography in humans enhances visualisation of fibre pathways." Magnetic Resonance Imaging 45 (January 2018): 7–17. http://dx.doi.org/10.1016/j.mri.2017.08.007.

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Schiavi, Simona, Po-Jui Lu, Matthias Weigel, Antoine Lutti, Derek K. Jones, Ludwig Kappos, Cristina Granziera, and Alessandro Daducci. "Bundle myelin fraction (BMF) mapping of different white matter connections using microstructure informed tractography." NeuroImage 249 (April 2022): 118922. http://dx.doi.org/10.1016/j.neuroimage.2022.118922.

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Schomburg, Helen, and Thorsten Hohage. "Formulation and Efficient Computation of ${\ell}_{\textsf{1}}$ - and Smoothness Penalized Estimates for Microstructure-Informed Tractography." IEEE Transactions on Medical Imaging 38, no. 8 (August 2019): 1899–909. http://dx.doi.org/10.1109/tmi.2019.2902787.

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Obaid, Sami, François Rheault, Manon Edde, Guido I. Guberman, Etienne St-Onge, Jasmeen Sidhu, Alain Bouthillier, et al. "Structural Connectivity Alterations in Operculo-Insular Epilepsy." Brain Sciences 11, no. 8 (August 5, 2021): 1041. http://dx.doi.org/10.3390/brainsci11081041.

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Operculo-insular epilepsy (OIE) is an under-recognized condition that can mimic temporal and extratemporal epilepsies. Previous studies have revealed structural connectivity changes in the epileptic network of focal epilepsy. However, most reports use the debated streamline-count to quantify ‘connectivity strength’ and rely on standard tracking algorithms. We propose a sophisticated cutting-edge method that is robust to crossing fibers, optimizes cortical coverage, and assigns an accurate microstructure-reflecting quantitative conectivity marker, namely the COMMIT (Convex Optimization Modeling for Microstructure Informed Tractography)-weight. Using our pipeline, we report the connectivity alterations in OIE. COMMIT-weighted matrices were created in all participants (nine patients with OIE, eight patients with temporal lobe epilepsy (TLE), and 22 healthy controls (HC)). In the OIE group, widespread increases in ‘connectivity strength’ were observed bilaterally. In OIE patients, ‘hyperconnections’ were observed between the insula and the pregenual cingulate gyrus (OIE group vs. HC group) and between insular subregions (OIE vs. TLE). Graph theoretic analyses revealed higher connectivity within insular subregions of OIE patients (OIE vs. TLE). We reveal, for the first time, the structural connectivity distribution in OIE. The observed pattern of connectivity in OIE likely reflects a diffuse epileptic network incorporating insular-connected regions and may represent a structural signature and diagnostic biomarker.
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Caron, Bradley, Nicholas Port, and Franco Pestilli. "Advanced white matter mapping in the subconcussive brain." Neurology 91, no. 23 Supplement 1 (December 4, 2018): S15.2—S15. http://dx.doi.org/10.1212/01.wnl.0000550693.00184.ee.

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The topic of behavioral and structural deficits caused by concussions is an increasingly important 1 in the related research fields. With an incidence rate of 2.9 competition concussions per 1,000 athlete exposures (NCAA 2013) in collegiate football, the concussion risk to athletes is significant. However, even subconcussive blows, or blows that do not lead to a concussion diagnosis, appear to create health risks for athletes. These impacts appear to lead to significant neural changes, the severity of which may depend on the number of hits (McAllister et al., 2014). An anatomically informed, personalized-medicine tractography approach was used to determine which major white matter tracts showed the greatest degree of difference in white matter tensor measures between 17 Division I upperclassmen football players, 15 Division I upperclassman cross-country runners, and 9 socioeconomically-matched non-athlete controls. We determined the underlying microstructural white matter biomarkers, using a classic diffusion-tensor model (Pierpaoli and Basser, 1999) as well as Neurite Orientation Dispersion and Density Imaging (NODDI; Zhang et al., 2012), that predict differences across different white matter tracts in the groups of athletes. Results show widespread differences in white matter tissue properties in multiple tracts and among the 3 athletes groups, including decreased FA, increased ICVF, and OD in the football players vs the 2 control groups. These differences occurred more often in longer fiber tracts compared to shorter fiber tracts, suggesting a differential effect of head impacts based on the geometric properties of these tracts. We developed a fully automated processing pipeline for this study, available as open source code as well as open service at brainlife.io. These results support the hypothesis that multiple subconcussive blows can result in white matter structural changes, with differential effects based on the length of the fiber tract being investigated, that are detectable with diffusion MRI and tractography.
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Daducci, Alessandro, Alessandro Dal Palú, Maxime Descoteaux, and Jean-Philippe Thiran. "Microstructure Informed Tractography: Pitfalls and Open Challenges." Frontiers in Neuroscience 10 (June 6, 2016). http://dx.doi.org/10.3389/fnins.2016.00247.

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Conference papers on the topic "Microstructure informed tractography"

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Hernandez-Gutierrez, Erick, Alonso Ramirez-Manzanares, Jose L. Marroquin, Mario Ocampo-Pineda, and Alessandro Daducci. "Cuda Parallelization of Commit Framework for Efficient Microstructure-Informed Tractography." In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI). IEEE, 2019. http://dx.doi.org/10.1109/isbi.2019.8759098.

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