Cortically constrained shape recognition: Automated white matter tract segmentation validated in the pediatric brain

2021 ◽  
Author(s):  
Kesshi M. Jordan ◽  
Michael Lauricella ◽  
Abigail E. Licata ◽  
Simone Sacco ◽  
Carlo Asteggiano ◽  
...  
2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Konstantinos Poulakis ◽  
Robert I Reid ◽  
Scott A Przybelski ◽  
David S Knopman ◽  
Jonathan Graff-Radford ◽  
...  

Abstract Deterioration in white-matter health plays a role in cognitive ageing. Our goal was to discern heterogeneity of white-matter tract vulnerability in ageing using longitudinal imaging data (two to five imaging and cognitive assessments per participant) from a population-based sample of 553 elderly participants (age ≥60 years). We found that different clusters (healthy white matter, fast white-matter decliners and intermediate white-matter group) were heterogeneous in the spatial distribution of white-matter integrity, systemic health and cognitive trajectories. White-matter health of specific tracts (genu of corpus callosum, posterior corona radiata and anterior internal capsule) informed about cluster assignments. Not surprisingly, brain amyloidosis was not significantly different between clusters. Clusters had differential white-matter tract vulnerability to ageing (commissural fibres > association/brainstem fibres). Identification of vulnerable white-matter tracts is a valuable approach to assessing risk for cognitive decline.


2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii432-iii432
Author(s):  
Adeoye Oyefiade ◽  
Kiran Beera ◽  
Iska Moxon-Emre ◽  
Jovanka Skocic ◽  
Ute Bartels ◽  
...  

Abstract INTRODUCTION Treatments for pediatric brain tumors (PBT) are neurotoxic and lead to long-term deficits that are driven by the perturbation of underlying white matter (WM). It is unclear if and how treatment may impair WM connectivity across the entire brain. METHODS Magnetic resonance images from 41 PBT survivors (mean age: 13.19 years, 53% M) and 41 typically developing (TD) children (mean age: 13.32 years, 51% M) were analyzed. Image reconstruction, segmentation, and node parcellation were completed in FreeSurfer. DTI maps and probabilistic streamline generation were completed in MRtrix3. Connectivity matrices were based on the number of streamlines connecting two nodes and the mean DTI (FA) index across streamlines. We used graph theoretical analyses to define structural differences between groups, and random forest (RF) analyses to identify hubs that reliably classify PBT and TD children. RESULTS For survivors treated with radiation, betweeness centrality was greater in the left insular (p < 0.000) but smaller in the right pallidum (p < 0.05). For survivors treated without radiation (surgery-only), betweeness centrality was smaller in the right interparietal sulcus (p < 0.05). RF analyses showed that differences in WM connectivity from the right pallidum to other parts of the brain reliably classified PBT survivors from TD children (classification accuracy = 77%). CONCLUSIONS The left insular, right pallidum, and right inter-parietal sulcus are structurally perturbed hubs in PBT survivors. WM connectivity from the right pallidum is vulnerable to the long-term effects of treatment for PBT.


2011 ◽  
Vol 9 (3) ◽  
pp. 93-93
Author(s):  
Eelco van Duinkerken ◽  
Petra J.W. Pouwels ◽  
Richard G. IJzerman ◽  
Frederik Barkhof ◽  
Martin Klein ◽  
...  

2017 ◽  
Vol 34 (2) ◽  
pp. 291-299 ◽  
Author(s):  
Juan J. Herrera ◽  
Kurt Bockhorst ◽  
Shakuntala Kondraganti ◽  
Laura Stertz ◽  
João Quevedo ◽  
...  

Author(s):  
Eline F. Roelofs ◽  
Janna Marie Bas-Hoogendam ◽  
Steven J. A. van der Werff ◽  
Saskia D. Valstar ◽  
Nic J. A. van der Wee ◽  
...  

2018 ◽  
Vol 223 (8) ◽  
pp. 3681-3688 ◽  
Author(s):  
Thomas Decramer ◽  
Stijn Swinnen ◽  
Johannes van Loon ◽  
Peter Janssen ◽  
Tom Theys

2014 ◽  
Vol 75 (3) ◽  
pp. 248-256 ◽  
Author(s):  
Bart D. Peters ◽  
Toshikazu Ikuta ◽  
Pamela DeRosse ◽  
Majnu John ◽  
Katherine E. Burdick ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e96247 ◽  
Author(s):  
Matthew G. Liptrot ◽  
Karam Sidaros ◽  
Tim B. Dyrby

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