Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study

Shukla, Ayushi; Ware, Ashley L.; Guo, Sunny; Goodyear, Bradley G.; Beauchamp, Miriam H.; Zemek, Roger; Craig, William; Doan, Quynh; Beaulieu, Christian; Yeates, Keith Owen; Lebel, Catherine

doi:10.1016/j.nicl.2021.102887

Cited by 9 publications

(5 citation statements)

References 66 publications

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“…The children with mTBI and OI did not differ in any global network metrics before or after each harmonization approach. This was expected given that DTI and NODDI indices of white matter microstructure did not differ between groups previously in this sample (18,32,35), and other pediatric samples at similar time points (52). Another study compared a subset of this sample (children recruited at the Calgary site) to typically developing children and also did not find global or regional (nodal) network differences between mTBI and mild OI groups post-acutely, but did find an effect of injury more generally relative to typical development (18).…”

Section: Discussionsupporting

confidence: 55%

“…All participants provided written informed assent and parents/guardians provided written informed consent (22). This study examined data from the MRI scans collected during the post-acute visit, as previously described (32,35).…”

Section: Study Design and Proceduresmentioning

confidence: 99%

“…Eligible participants completed a 3T MRI scan without sedation at the post-acute visit [see (35) for details]. In brief, thirty diffusion-weighted images with different diffusion gradient encoding directions were acquired at b = 900 s/mm 2 , along with five images at b = 0 s/mm 2 , with 2.2 mm isotropic resolution at all sites [General Electric: TR/TE = 6, 12 s/70, 90 ms; Siemens: 6.3, 7.8 s/55, 90 ms; (22)].…”

Section: Diffusion Mrimentioning

confidence: 99%

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Multisite Harmonization of Structural DTI Networks in Children: An A-CAP Study

et al. 2022

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The analysis of large, multisite neuroimaging datasets provides a promising means for robust characterization of brain networks that can reduce false positives and improve reproducibility. However, the use of different MRI scanners introduces variability to the data. Managing those sources of variability is increasingly important for the generation of accurate group-level inferences. ComBat is one of the most promising tools for multisite (multiscanner) harmonization of structural neuroimaging data, but no study has examined its application to graph theory metrics derived from the structural brain connectome. The present work evaluates the use of ComBat for multisite harmonization in the context of structural network analysis of diffusion-weighted scans from the Advancing Concussion Assessment in Pediatrics (A-CAP) study. Scans were acquired on six different scanners from 484 children aged 8.00–16.99 years [Mean = 12.37 ± 2.34 years; 289 (59.7%) Male] ~10 days following mild traumatic brain injury (n = 313) or orthopedic injury (n = 171). Whole brain deterministic diffusion tensor tractography was conducted and used to construct a 90 x 90 weighted (average fractional anisotropy) adjacency matrix for each scan. ComBat harmonization was applied separately at one of two different stages during data processing, either on the (i) weighted adjacency matrices (matrix harmonization) or (ii) global network metrics derived using unharmonized weighted adjacency matrices (parameter harmonization). Global network metrics based on unharmonized adjacency matrices and each harmonization approach were derived. Robust scanner effects were found for unharmonized metrics. Some scanner effects remained significant for matrix harmonized metrics, but effect sizes were less robust. Parameter harmonized metrics did not differ by scanner. Intraclass correlations (ICC) indicated good to excellent within-scanner consistency between metrics calculated before and after both harmonization approaches. Age correlated with unharmonized network metrics, but was more strongly correlated with network metrics based on both harmonization approaches. Parameter harmonization successfully controlled for scanner variability while preserving network topology and connectivity weights, indicating that harmonization of global network parameters based on unharmonized adjacency matrices may provide optimal results. The current work supports the use of ComBat for removing multiscanner effects on global network topology.

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Section: Discussionsupporting

confidence: 55%

Section: Study Design and Proceduresmentioning

confidence: 99%

Section: Diffusion Mrimentioning

confidence: 99%

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Multisite Harmonization of Structural DTI Networks in Children: An A-CAP Study

et al. 2022

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“…Eleven scans (7 mTBI/4 OI) failed AFQ processing. A subset of the post‐acute neuroimaging data was analyzed as part of a study comparing DTI and neurite orientation dispersion and density imaging (NODDI) metrics (Shukla et al, 2021 ).…”

Section: Resultsmentioning

confidence: 99%

Longitudinal white matter microstructural changes in pediatric mild traumatic brain injury: An A‐CAP study

Ware

Yeates

Tang³

et al. 2022

Human Brain Mapping

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In the largest sample studied to date, white matter microstructural trajectories and their relation to persistent symptoms were examined after pediatric mild traumatic brain injury (mTBI). This prospective, longitudinal cohort study recruited children aged 8-16.99 years with mTBI or mild orthopedic injury (OI) from five pediatric emergency [Correction added on 04 May 2022, after first online publication: Quynh Doan's affiliation is updated and subsequent affiliations were re-numbered.]

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“…This lack of group difference was maintained even when considering multiple covariates (participant age, time since injury, voxel-tissue composition). Similarly, a study using diffusion tensor imaging to assess white matter microstructure in pediatric concussion also failed to nd differences in white matter microstructure at 11-days following injury 12 , although another study found higher mean diffusivity in the thalamic radiation 3-months postinjury and reductions in mean diffusivity of the arcuate fasciculus at 6-months post-injury 13 . Thus, examining MRS in the longer term may reveal neurometabolic changes.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal changes of brain metabolites following pediatric concussion: An Advancing Concussion Assessment in Pediatrics (A-CAP) study

La,

Walker,

Bell

et al. 2023

Preprint

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Concussion is commonly characterized by a cascade of neurometabolic changes following injury. Magnetic Resonance Spectroscopy (MRS) can be used to quantify neurometabolites non-invasively. Longitudinal changes in neurometabolites have rarely been studied in pediatric concussion, and fewer studies consider symptoms. This study examines longitudinal changes of neurometabolites in pediatric concussion and associations between neurometabolites and symptom burden. Participants who presented with concussion or orthopedic injury (OI, comparison group) were recruited. The first timepoint for MRS data collection was at a mean of 12-days post-injury (n = 545). Participants were then randomized to 3- (n = 243) or 6- (n = 215) months for MRS follow-up. Parents completed symptom questionnaires to quantify somatic and cognitive symptoms at multiple timepoints following injury. There were no significant changes in neurometabolites over time in the concussion group and neurometabolite trajectories did not differ between asymptomatic concussion, symptomatic concussion, and OI groups. Cross-sectionally, Choline was significantly lower in those with persistent somatic symptoms compared to OI controls at 3-months post-injury. Lower Choline was also significantly associated with higher somatic symptoms. Although overall neurometabolites do not change over time, choline differences that appear at 3-months and is related to somatic symptoms.

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Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study

Cited by 9 publications

References 66 publications

Multisite Harmonization of Structural DTI Networks in Children: An A-CAP Study

Multisite Harmonization of Structural DTI Networks in Children: An A-CAP Study

Longitudinal white matter microstructural changes in pediatric mild traumatic brain injury: An A‐CAP study

Longitudinal changes of brain metabolites following pediatric concussion: An Advancing Concussion Assessment in Pediatrics (A-CAP) study

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