scholarly journals Structural connectome differences in pediatric mild traumatic brain and orthopedic injury

2021 ◽  
Author(s):  
Ashley L. Ware ◽  
Keith Owen Yeates ◽  
Bryce Geeraert ◽  
Xiangyu Long ◽  
Miriam H. Beauchamp ◽  
...  
2006 ◽  
Vol 14 (7S_Part_23) ◽  
pp. P1266-P1267
Author(s):  
Yun Wang ◽  
Chenxiao Xu ◽  
Seonjoo Lee ◽  
Yaakov Stern ◽  
Jong Hun Kim ◽  
...  

NeuroImage ◽  
2021 ◽  
pp. 118190
Author(s):  
Xihe Xie ◽  
Chang Cai ◽  
Pablo F. Damasceno ◽  
Srikantan Nagarajan ◽  
Ashish Raj

2016 ◽  
Vol 87 (Suppl 1) ◽  
pp. A38.1-A38
Author(s):  
Nellie Georgiou-Karistianis ◽  
Julie C Stout ◽  
Andrew Churchyard ◽  
Phyllis Chua ◽  
Gary F Egan ◽  
...  

Author(s):  
James W. Madole ◽  
Stuart J. Ritchie ◽  
Simon R. Cox ◽  
Colin R. Buchanan ◽  
Maria Valdés Hernández ◽  
...  

2017 ◽  
Vol 23 (7) ◽  
pp. 529-538 ◽  
Author(s):  
Gabriel C. Araujo ◽  
Tanya N. Antonini ◽  
Vicki Anderson ◽  
Kathryn A. Vannatta ◽  
Christina G. Salley ◽  
...  

AbstractObjectives:This study examined whether children with distinct brain disorders show different profiles of strengths and weaknesses in executive functions, and differ from children without brain disorder.Methods:Participants were children with traumatic brain injury (N=82; 8–13 years of age), arterial ischemic stroke (N=36; 6–16 years of age), and brain tumor (N=74; 9–18 years of age), each with a corresponding matched comparison group consisting of children with orthopedic injury (N=61), asthma (N=15), and classmates without medical illness (N=68), respectively. Shifting, inhibition, and working memory were assessed, respectively, using three Test of Everyday Attention: Children’s Version (TEA-Ch) subtests: Creature Counting, Walk-Don’t-Walk, and Code Transmission. Comparison groups did not differ in TEA-Ch performance and were merged into a single control group. Profile analysis was used to examine group differences in TEA-Ch subtest scaled scores after controlling for maternal education and age.Results:As a whole, children with brain disorder performed more poorly than controls on measures of executive function. Relative to controls, the three brain injury groups showed significantly different profiles of executive functions. Importantly, post hoc tests revealed that performance on TEA-Ch subtests differed among the brain disorder groups.Conclusions:Results suggest that different childhood brain disorders result in distinct patterns of executive function deficits that differ from children without brain disorder. Implications for clinical practice and future research are discussed. (JINS, 2017,23, 529–538)


2018 ◽  
Vol 27 (3) ◽  
pp. 184-190
Author(s):  
Eun-Wook Chang ◽  
Eun-Jin Jung ◽  
Yangtae Kim

2018 ◽  
Vol 18 ◽  
pp. 202-214 ◽  
Author(s):  
Peter N. Taylor ◽  
Nishant Sinha ◽  
Yujiang Wang ◽  
Sjoerd B. Vos ◽  
Jane de Tisi ◽  
...  

2018 ◽  
Vol 2 (2) ◽  
pp. 241-258 ◽  
Author(s):  
Shelli R. Kesler ◽  
Paul Acton ◽  
Vikram Rao ◽  
William J. Ray

Neurodegeneration in Alzheimer’s disease (AD) is associated with amyloid-beta peptide accumulation into insoluble amyloid plaques. The five-familial AD (5XFAD) transgenic mouse model exhibits accelerated amyloid-beta deposition, neuronal dysfunction, and cognitive impairment. We aimed to determine whether connectome properties of these mice parallel those observed in patients with AD. We obtained diffusion tensor imaging and resting-state functional magnetic resonance imaging data for four transgenic and four nontransgenic male mice. We constructed both structural and functional connectomes and measured their topological properties by applying graph theoretical analysis. We compared connectome properties between groups using both binarized and weighted networks. Transgenic mice showed higher characteristic path length in weighted structural connectomes and functional connectomes at minimum density. Normalized clustering and modularity were lower in transgenic mice across the upper densities of the structural connectome. Transgenic mice also showed lower small-worldness index in higher structural connectome densities and in weighted structural networks. Hyper-correlation of structural and functional connectivity was observed in transgenic mice compared with nontransgenic controls. These preliminary findings suggest that 5XFAD mouse connectomes may provide useful models for investigating the molecular mechanisms of AD pathogenesis and testing the effectiveness of potential treatments.


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