scholarly journals White Matter Tract Pathology in Pediatric Anoxic Brain Injury from Drowning

2017 ◽  
Vol 38 (4) ◽  
pp. 814-819 ◽  
Author(s):  
M. Ishaque ◽  
J.H. Manning ◽  
M.D. Woolsey ◽  
C.G. Franklin ◽  
F.S. Salinas ◽  
...  
2017 ◽  
Vol 34 (2) ◽  
pp. 291-299 ◽  
Author(s):  
Juan J. Herrera ◽  
Kurt Bockhorst ◽  
Shakuntala Kondraganti ◽  
Laura Stertz ◽  
João Quevedo ◽  
...  

2021 ◽  
Author(s):  
Zhou Zhou ◽  
Xiaogai Li ◽  
Yuzhe Liu ◽  
Madelen Fahlstedt ◽  
Marios Georgiadis ◽  
...  

AbstractFinite element (FE) models of the human head are valuable instruments to explore the mechanobiological pathway from external loading, localized brain response, and resultant injury risks. The injury predictability of these models depends on the use of effective criteria as injury predictors. The FE-derived normal deformation along white matter (WM) fiber tracts (i.e., tract-oriented strain) has recently been suggested as an appropriate predictor for axonal injury. However, the tract-oriented strain only represents a partial depiction of the WM fiber tract deformation. A comprehensive delineation of tract-related deformation may improve the injury predictability of the FE head model by delivering new tract-related criteria as injury predictors. Thus, the present study performed a theoretical strain analysis to comprehensively characterize the WM fiber tract deformation by relating the strain tensor of the WM element to its embedded fiber tracts. Three new tract-related strains were proposed, measuring the normal deformation vertical to the fiber tracts (i.e., tract-vertical strain), and shear deformation along and vertical to the fiber tracts (i.e., axial-shear strain and lateral-shear strain, respectively). The injury predictability of these three newly-proposed strain peaks along with the previously-used tract-oriented strain peak and maximum principal strain (MPS) were evaluated by simulating 151 impacts with known outcome (concussion or no-concussion). The results showed that four tract-related strain peaks exhibit superior performance compared to MPS in discriminating concussion and non-concussion cases. This study presents a comprehensive quantification of WM tract-related deformation and advocates the use of orientation-dependent strains as criteria for injury prediction, which may ultimately contribute to an advanced mechanobiological understanding and enhanced computational predictability of brain injury.HighlightDeformation of white matte fiber tracts is directly related to brain injury, but only partially analyzed thus far.A theoretical derivation that comprehensively characterizes white matter tract-related deformation is conducted.Analytical formulas of three novel tract-related strains are presented.Tract-related strain peaks are better predictors for concussion than the maximum principal strain.


2018 ◽  
Vol 14 ◽  
pp. 174480691881029 ◽  
Author(s):  
Albert Leung ◽  
Eric Yang ◽  
Michael Lim ◽  
Valerie Metzger-Smith ◽  
Rebecca Theilmann ◽  
...  

2018 ◽  
Vol 35 (8) ◽  
pp. 1015-1020 ◽  
Author(s):  
Sohae Chung ◽  
Els Fieremans ◽  
Xiuyuan Wang ◽  
Nuri E. Kucukboyaci ◽  
Charles J. Morton ◽  
...  

2021 ◽  
Author(s):  
Zhou Zhou ◽  
Teng Wang ◽  
Xiaogai Li

Incorporating neuroimaging-revealed structural details into finite element (FE) head models opens vast opportunities to understand brain injury mechanisms. Recently, growing efforts have been made to integrate the fiber orientation from diffusion tensor imaging into the FE models to compute white matter (WM) tract-related deformation. Commonly used approaches often downsample the spatially enriched fiber orientation to match the resolution of FE meshes, resulting in an element-wise orientation implementation. However, the validity of downsampling and the consequences on the computed tract-related strains remain elusive. To address this problem, the current study proposed a new voxel-wise approach to integrate fiber orientation into FE models without downsampling. By setting the voxel-wise orientation responses as the reference, we then evaluated the reliability of two existing downsampling approaches on tract-related strains using two FE models with varying element sizes. The results showed that, for a model with a large mesh-image resolution dismatch, the downsampling orientation exhibited an absolute difference over 30 degree across the WM/gray matter interface and pons regions and further negatively affects the computation of tract-related strains with the normalized root-mean-square error up to 20% and peaking tract-related strains underestimated by 5%. This downsampling-induced effect was lower in FE models with finer meshes. Thus, this study yields insights on integrating neuroimaging-revealed fiber orientation into FE models and may better inform the computation of WM tract-related deformation, which are crucial for advancing the etiological understanding and computational predictability of brain injury.


Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Mariam Ishaque ◽  
Crystal G Franklin ◽  
Mary D Woolsey ◽  
Peter T Fox

Abstract INTRODUCTION Although drowning is a leading cause of death and neurological morbidity in young children, clinical management and prognostication following injury is poor. The most devastating disability from drowning results from anoxic brain injury (ABI). Standard-of-care imaging and assessment methods have proven inadequate in the evaluation of brain damage and prediction of functional sequelae, and thus, have had minimal clinical impact in these patients and other patients with disorders of consciousness. METHODS A total of 11 children with drowning-related ABI and 11 age- and gender-matched neurotypical controls (4-12 yr) were scanned during mildly sedated sleep; T1-weighted, DTI, and resting-state fMRI blood oxygen level dependent (BOLD) data were acquired. Voxel-based morphometry (VBM) was implemented on T1 data, tract-based spatial statistics (TBSS) was implemented on DTI data, and independent components analysis (ICA) was implemented at group and per-subject levels on fMRI data to investigate the integrity of resting-state networks (RSNs). Extensive functional evaluations were conducted and a systematic behavioral evaluation form and scoring system were developed to correlate imaging and behavioral measures. RESULTS VBM investigations of grey and white matter respectively revealed predominant central subcortical pathology in the basal ganglia and posterior limbs of the internal capsule (PLIC). White matter microstructural investigation with TBSS of DTI data revealed focal damage in bilateral PLICs. ICA of resting-state fMRI data revealed principal impairment of motor-related cortical networks (basal ganglia, cerebellum) and striking preservation of networks involved in perception (visual, auditory, sensorimotor), cognition, and emotion. These findings closely agreed with neurobehavioral assessments. CONCLUSION Together, our observations suggest that motor deficits underlie the inability to communicate and convey relatively intact cognitive, perceptual, and emotive capabilities in pediatric post-drowning ABI, depicting a locked-in-type syndrome. Several prognostic, therapeutic, and ethical correlates follow. Furthermore, the developed imaging protocol is suitable for clinical use and highly applicable to other patient populations and disorders of consciousness.


2014 ◽  
Vol 14 (4) ◽  
pp. 877-896 ◽  
Author(s):  
Sarah Sullivan ◽  
Stephanie A. Eucker ◽  
David Gabrieli ◽  
Connor Bradfield ◽  
Brittany Coats ◽  
...  

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