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 ◽  
...  
Keyword(s):  
White Matter ◽  
Shape Recognition ◽  
White Matter Tract ◽  
Pediatric Brain

scholarly journals Longitudinal deterioration of white-matter integrity: heterogeneity in the ageing population

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Konstantinos Poulakis ◽  
Robert I Reid ◽  
Scott A Przybelski ◽  
David S Knopman ◽  
Jonathan Graff-Radford ◽  
...  
Keyword(s):  
White Matter ◽  
Internal Capsule ◽  
Population Based ◽  
White Matter Integrity ◽  
Ageing Population ◽  
White Matter Tract ◽  
Imaging Data ◽  
Cognitive Assessments ◽  
Longitudinal Imaging ◽  
Systemic Health

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.

scholarly journals QOL-09. WHOLE-BRAIN WHITE MATTER NETWORK CONNECTIVITY IS DISRUPTED BY PEDIATRIC BRAIN TUMOR TREATMENT

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii432-iii432
Author(s):  
Adeoye Oyefiade ◽  
Kiran Beera ◽  
Iska Moxon-Emre ◽  
Jovanka Skocic ◽  
Ute Bartels ◽  
...  
Keyword(s):  
White Matter ◽  
Pediatric Brain Tumor ◽  
Pediatric Brain Tumors ◽  
Magnetic Resonance Images ◽  
Long Term Effects ◽  
Brain White Matter ◽  
The Right ◽  
Pediatric Brain ◽  
Betweeness Centrality

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.

PS1 - 4. Widespread decreased white matter tract integrity in T1DM patients with microangiopathy and its relation to cognitive functions

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

scholarly journals Acute White Matter Tract Damage after Frontal Mild Traumatic Brain Injury

2017 ◽  
Vol 34 (2) ◽  
pp. 291-299 ◽  
Author(s):  
Juan J. Herrera ◽  
Kurt Bockhorst ◽  
Shakuntala Kondraganti ◽  
Laura Stertz ◽  
João Quevedo ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
White Matter ◽  
Mild Traumatic Brain Injury ◽  
White Matter Tract ◽  
Tract Damage

Exploring the course of adolescent anxiety and depression: associations with white matter tract microstructure

2021 ◽  
Author(s):  
Eline F. Roelofs ◽  
Janna Marie Bas-Hoogendam ◽  
Steven J. A. van der Werff ◽  
Saskia D. Valstar ◽  
Nic J. A. van der Wee ◽  
...  
Keyword(s):  
White Matter ◽  
Anxiety And Depression ◽  
White Matter Tract ◽  
Adolescent Anxiety

White matter tract anatomy in the rhesus monkey: a fiber dissection study

2018 ◽  
Vol 223 (8) ◽  
pp. 3681-3688 ◽  
Author(s):  
Thomas Decramer ◽  
Stijn Swinnen ◽  
Johannes van Loon ◽  
Peter Janssen ◽  
Tom Theys
Keyword(s):  
White Matter ◽  
Rhesus Monkey ◽  
White Matter Tract ◽  
Fiber Dissection

scholarly journals Age-Related Differences in White Matter Tract Microstructure Are Associated with Cognitive Performance from Childhood to Adulthood

2014 ◽  
Vol 75 (3) ◽  
pp. 248-256 ◽  
Author(s):  
Bart D. Peters ◽  
Toshikazu Ikuta ◽  
Pamela DeRosse ◽  
Majnu John ◽  
Katherine E. Burdick ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Performance ◽  
White Matter Tract ◽  
Age Related

scholarly journals Addressing the Path-Length-Dependency Confound in White Matter Tract Segmentation

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e96247 ◽  
Author(s):  
Matthew G. Liptrot ◽  
Karam Sidaros ◽  
Tim B. Dyrby
Keyword(s):  
White Matter ◽  
Path Length ◽  
White Matter Tract
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