Toward a Comprehensive Delineation of White Matter Tract-Related Deformation

Zhou, Zhou; Li, Xiaogai; Liu, Yuzhe; Fahlstedt, Madelen; Georgiadis, Marios; Zhan, Xianghao; Raymond, Samuel; Grant, Gerald A.; Kleiven, Svein; Camarillo, David B.; Zeineh, Michael

doi:10.1089/neu.2021.0195

Cited by 20 publications

(13 citation statements)

References 123 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reported strain results under volunteer impacts can be used to evaluate the fidelity of computational head models, especially those intended to predict brain strains under non-injurious conditions. deformed fiber orientation that changes at each timestep of the simulation) was used [83]. We acknowledge that is flawed and the undeformed fiber orientation should be used (e.g., the static first principal eigenvector of diffusion tensor used in the current study).…”

Section: Discussionmentioning

confidence: 99%

The white matter fiber tract deforms most in the perpendicular direction duringin vivovolunteer impacts

Zhou,

Olsson,

Gasser

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

White matter (WM) tract-related strains are increasingly used to quantify brain mechanical responses, but their dynamics in live human brains during in vivo impact conditions remain largely unknown. Existing research primarily looked into the normal strain along the WM fiber tracts (i.e., tract-oriented normal strain), but it is rarely the case in reality that the fiber tract only endures tract-oriented normal strain. In this study, we aim to extend the measurement of WM deformation by quantifying the normal strain perpendicular to the fiber tract (i.e., tract-perpendicular normal strain) and the shear strain along and perpendicular to the fiber tract (i.e., tract-oriented shear strain and tract-perpendicular shear strain, respectively). To achieve this, we combine the three-dimensional strain tensor from the tagged magnetic resonance imaging (tMRI) with the diffuse tensor imaging (DTI) from an open-access dataset, including 44 volunteer impacts under neck rotations (N = 30, peak angular acceleration: 228.6 (8.3) rad/s2) and neck extensions (N = 14, peak angular acceleration: 185.5 (59.2) rad/s2). The strain tensor is rotated to the coordinate system with one axis aligned with DTI-revealed fiber orientation and then four tract-related strain measures are calculated. The results show that tract-perpendicular normal strain peaks are the largest among the four strain types and tract-oriented normal strains are the lowest. The mean peak values (standard deviation) for tract-oriented normal strain, tract-perpendicular normal strain, tract-oriented shear strain, and tract-perpendicular shear strain are 0.020 (0.005), 0.028 (0.007), 0.024 (0.006) and 0.023 (0.006) under the neck rotation, and 0.013 (0.002), 0.019 (0.004), 0.016 (0.003), and 0.017 (0.003) under the neck extension, respectively. The distribution of tract-related strains is affected by the head loading mode. Our study presents a comprehensive in vivo strain quantification towards a multifaceted understanding of WM dynamics. For the first time, we find the WM fiber tract deforms most in the perpendicular direction, illuminating new fundamental of brain mechanics. The reported strain results can be used to evaluate the biofidelity of computational head models, especially those intended to predict brain strains under non-injurious conditions.

show abstract

Section: Discussionmentioning

confidence: 99%

The white matter fiber tract deforms most in the perpendicular direction duringin vivovolunteer impacts

Zhou,

Olsson,

Gasser

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…For each ROI, the element-wise strain and strain rate peaks of all affiliated elements were analyzed. To eliminate potential numerical artifacts ( Panzer et al, 2012 ; Zhou et al, 2021b ), the 95th percentile values of element-wise strain peaks and element-wise strain rate peaks were respectively regarded as the strain peak and strain rate peak of the given region. A total of 13 ROIs, including six hippocampal subfields, the whole hippocampus, and six non-hippocampal paraventricular regions were considered in the current study.…”

Section: Methodsmentioning

confidence: 99%

The Presence of the Temporal Horn Exacerbates the Vulnerability of Hippocampus During Head Impacts

Zhou

Domel

et al. 2022

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

Hippocampal injury is common in traumatic brain injury (TBI) patients, but the underlying pathogenesis remains elusive. In this study, we hypothesize that the presence of the adjacent fluid-containing temporal horn exacerbates the biomechanical vulnerability of the hippocampus. Two finite element models of the human head were used to investigate this hypothesis, one with and one without the temporal horn, and both including a detailed hippocampal subfield delineation. A fluid-structure interaction coupling approach was used to simulate the brain-ventricle interface, in which the intraventricular cerebrospinal fluid was represented by an arbitrary Lagrangian-Eulerian multi-material formation to account for its fluid behavior. By comparing the response of these two models under identical loadings, the model that included the temporal horn predicted increased magnitudes of strain and strain rate in the hippocampus with respect to its counterpart without the temporal horn. This specifically affected cornu ammonis (CA) 1 (CA1), CA2/3, hippocampal tail, subiculum, and the adjacent amygdala and ventral diencephalon. These computational results suggest that the presence of the temporal horn exacerbate the vulnerability of the hippocampus, highlighting the mechanobiological dependency of the hippocampus on the temporal horn.

show abstract

“…DAI is caused by acceleration-deceleration or rotational forces on brain tissues, resulting in axonal shear injuries and delayed axonal disconnection, categorized as a special type of traumatic brain injury (TBI) ( Mu et al, 2021 ; Zhou et al, 2021 ; Chen et al, 2022 ; Kim et al, 2022 ). A total of 20–38% of TBI patients with DAI were followed up with unfavorable outcome (Extended Glasgow Outcome Scale, GOSE 1–4) ( Humble et al, 2018 ; Lohani et al, 2020 ), but over 85% suffered from persistent cognitive impairment ( Macruz et al, 2022 ; RaukolaLindblom et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Cognitive impairment in diffuse axonal injury patients with favorable outcome

Chen

Yao

et al. 2023

Front. Neurosci.

View full text Add to dashboard Cite

Background and purposeTraumatic brain injury (TBI), especially the severe TBI are often followed by persistent cognitive sequalae, including decision-making difficulties, reduced neural processing speed and memory deficits. Diffuse axonal injury (DAI) is classified as one of the severe types of TBI. Part of DAI patients are marginalized from social life due to cognitive impairment, even if they are rated as favorable outcome. The purpose of this study was to elucidate the specific type and severity of cognitive impairment in DAI patients with favorable outcome.MethodsThe neurocognition of 46 DAI patients with favorable outcome was evaluated by the Chinese version of the Montreal Cognitive Assessment Basic (MoCA-BC), and the differences in the domains of cognitive impairment caused by different grades of DAI were analyzed after data conversion of scores of nine cognitive domains of MoCA-BC by Pearson correlation analysis.ResultsAmong the 46 DAI patients with favorable outcome, eight had normal cognitive function (MoCA-BC ≥ 26), and 38 had cognitive impairment (MoCA-BC < 26). The MoCA-BC scores were positively correlated with pupillary light reflex (r = 0.361, p = 0.014), admission Glasgow Coma Scale (GCS) (r = 0.402, p = 0.006), and years of education (r = 0.581, p < 0.001). Return of consciousness (r = −0.753, p < 0.001), Marshall CT (r = −0.328, p = 0.026), age (r = −0.654, p < 0.001), and DAI grade (r = −0.403, p = 0.006) were found to be negatively correlated with the MoCA-BC scores. In patients with DAI grade 1, the actually deducted scores (Ads) of memory (r = 0.838, p < 0.001), abstraction (r = 0.843, p < 0.001), and calculation (r = 0.782, p < 0.001) were most related to the Ads of MoCA-BC. The Ads of nine cognitive domains and MoCA-BC were all proved to be correlated, among patients with DAI grade 2. However, In the DAI grade 3 patients, the highest correlation with the Ads of MoCA-BC were the Ads of memory (r = 0.904, p < 0.001), calculation (r = 0.799, p = 0.006), orientation (r = 0.801, p = 0.005), and executive function (r = 0.869, p = 0.001).ConclusionDAI patients with favorable outcome may still be plagued by cognitive impairment, and different grades of DAI cause different domains of cognitive impairment.

show abstract

Toward a Comprehensive Delineation of White Matter Tract-Related Deformation

Cited by 20 publications

References 123 publications

The white matter fiber tract deforms most in the perpendicular direction duringin vivovolunteer impacts

The white matter fiber tract deforms most in the perpendicular direction duringin vivovolunteer impacts

The Presence of the Temporal Horn Exacerbates the Vulnerability of Hippocampus During Head Impacts

Cognitive impairment in diffuse axonal injury patients with favorable outcome

Contact Info

Product

Resources

About