Choice of Diffusion Tensor Estimation Approach Affects Fiber Tractography of the Fornix in Preterm Brain

Plaisier, Annemarie; Pieterman, Kay; Lequin, Maarten H.; Govaert, Paul; Heemskerk, Anneriet M.; Reiss, Irwin K M; Krestin, Gabriël P.; Leemans, Alexander; Dudink, Jeroen

doi:10.3174/ajnr.a3830

Cited by 14 publications

(10 citation statements)

References 30 publications

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“…As a result, overlapped regions can be used as a good approximation in group analysis, in particular for TBSS. In turn, a similar effect recently was demonstrated by Plaisier et al Using neonatal DTI dataset they found that FA metric estimated by the nonlinear least squares and RESTORE algorithms has significantly lower values than FA maps evaluated by the ordinary and weighted least squares approaches. As a result, visualized quality of reconstructed tracts based on the RESTORE fitting is significantly higher.…”

Section: Discussionsupporting

confidence: 77%

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Statistical Instability of TBSS Analysis Based on DTI Fitting Algorithm

Maximov

Thönneßen

Konrad

et al. 2015

Journal of Neuroimaging

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Voxel-based DTI analysis is an important approach in the comparison of subject groups by detecting and localizing gray and white matter changes in the brain. One of the principal problems for intersubject comparison is the absence of a "gold standard" processing pipeline. As a result, contradictory results may be obtained from identical data using different data processing pipelines, for example, in the data normalization or smoothing procedures. Tract-based spatial statistics (TBSS) shows potential to overcome this problem by automatic detection of white matter changes and decreasing variation in the performed analysis. However, skeleton projection approaches, such as TBSS, critically depend on the accuracy of the diffusion scalar metric estimations. In this work, we demonstrate that the agreement and reliability of TBSS results depend on the applied DTI data processing algorithm. Statistical tests have been performed using two in vivo measured datasets and compared with different implementations of the least squares algorithm. As a result, we recommend repeating TBSS analysis using different fitting algorithms, in particular, using on iteratively-assessed robust estimators, as accurate and more reliable approach in voxel-based analysis, particularly, for TBSS. Repeating TBSS analysis allows one to detect and localize suspicious regions in white matter which were estimated as the regions with significant difference. Finally, we did not find a favorite fitting algorithm (or class of them) which can be marked as more reliable for group comparison.

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Section: Discussionsupporting

confidence: 77%

“…As a result, visualized quality of reconstructed tracts based on the RESTORE fitting is significantly higher. However, all estimations in Ref were performed only by the ExploreDTI package and should be retested in the future by other implementations of used algorithms.…”

Section: Discussionmentioning

confidence: 99%

Statistical Instability of TBSS Analysis Based on DTI Fitting Algorithm

Maximov

Thönneßen

Konrad

et al. 2015

Journal of Neuroimaging

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“…Constrained spherical deconvolution (Jeurissen, Leemans, Jones, Tournier, & Sijbers, 2011) was used to compute a whole brain tractogram. Semi-automated tractography (Lebel, Rasmussen, et al, 2008a) was performed to extract the cingulum, fornix, and uncinate fasciculus using regions of interest based on a priori knowledge of tract location (Abdul-Rahman, Qiu, & Sim, 2011;Larroza, Moratal, D'ocon Alcaniz, & Arana, 2014;Lebel, Walker, et al, 2008b;Plaisier et al, 2014;Wakana, Jiang, Nagae-Poetscher, van Zijl, & Mori, 2004). Manual checks of each tract were done to ensure quality of the segmentations and edits were performed when necessary.…”

Section: Brain Imagingmentioning

confidence: 99%

Different brain profiles in children with prenatal alcohol exposure with or without early adverse exposures

Andre

McMorris

Kar

et al. 2020

Human Brain Mapping

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Prenatal alcohol exposure (PAE) can alter brain development and impact mental health outcomes, and often occurs in conjunction with postnatal adversity (e.g., maltreatment). However, it is unclear how postnatal adverse exposures may moderate mental health and brain outcomes in children with PAE. T1‐weighted and diffusion magnetic resonance imaging were obtained from 66 participants aged 7–16 years. Twenty‐one participants had PAE and adverse postnatal exposures (PAE+), 12 had PAE without adverse postnatal exposures (PAE−), and 33 were age‐ and gender‐matched controls unexposed to either prenatal alcohol or postnatal adversity. Internalizing and externalizing mental health symptoms were assessed using the Behavioral Assessment System for Children II, Parent‐Rating Scale. ANCOVAs were used to compare mental health symptoms, limbic and prefrontal cortical volumes, and diffusion parameters of cortico‐limbic white matter tracts between groups, and to assess brain‐mental health relationships. Both PAE groups had worse externalizing behavior (higher scores) than controls. The PAE− group had lower fractional anisotropy (FA) in the bilateral cingulum and left uncinate fasciculus, and smaller volumes in the left anterior cingulate cortex than controls and the PAE+ group. The PAE− group also had higher mean diffusivity (MD) in the left uncinate than the PAE+ group, and smaller right anterior cingulate and superior frontal gyrus volumes than controls. These findings show different brain structure and mental health symptom profiles in children with PAE with and without postnatal adversity, highlighting the need to consider adverse postnatal exposures in individuals with PAE.

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“…An approach combining visual inspection of raw diffusion data with software-based quality checks seems essential to ensure data reliability, as certain types of artifacts can hardly be seen on the diffusion data themselves (Tournier et al, 2011 ; Heemskerk et al, 2013 ). Dependent on the extent of quality loss, datasets need to be excluded from analysis or optimized using artifact and motion correction software in order to prevent inclusion of erroneous diffusion metrics in study results (Chang et al, 2005 ; Veraart et al, 2013 ; Collier et al, 2014 ; Plaisier et al, 2014 ; Tax et al, 2014b ). This especially holds true for advanced neonatal diffusion MRI sequences, as complex acquisition and processing pipelines are accompanied with many pitfalls (Jones and Cercignani, 2010 ; Kersbergen et al, 2014 ).…”

Section: Data Quality and Patient Safetymentioning

confidence: 99%

Recent advancements in diffusion MRI for investigating cortical development after preterm birthâ€”potential and pitfalls

Dudink

Pieterman

Leemans

et al. 2015

Front. Hum. Neurosci.

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Preterm infants are born during a critical period of brain maturation, in which even subtle events can result in substantial behavioral, motor and cognitive deficits, as well as psychiatric diseases. Recent evidence shows that the main source for these devastating disabilities is not necessarily white matter (WM) damage but could also be disruptions of cortical microstructure. Animal studies showed how moderate hypoxic-ischemic conditions did not result in significant neuronal loss in the developing brain, but did cause significantly impaired dendritic growth and synapse formation alongside a disturbed development of neuronal connectivity as measured using diffusion magnetic resonance imaging (dMRI). When using more advanced acquisition settings such as high-angular resolution diffusion imaging (HARDI), more advanced reconstruction methods can be applied to investigate the cortical microstructure with higher levels of detail. Recent advances in dMRI acquisition and analysis have great potential to contribute to a better understanding of neuronal connectivity impairment in preterm birth. We will review the current understanding of abnormal preterm cortical development, novel approaches in dMRI, and the pitfalls in scanning vulnerable preterm infants.

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Choice of Diffusion Tensor Estimation Approach Affects Fiber Tractography of the Fornix in Preterm Brain

Cited by 14 publications

References 30 publications

Statistical Instability of TBSS Analysis Based on DTI Fitting Algorithm

Statistical Instability of TBSS Analysis Based on DTI Fitting Algorithm

Different brain profiles in children with prenatal alcohol exposure with or without early adverse exposures

Recent advancements in diffusion MRI for investigating cortical development after preterm birthâ€”potential and pitfalls

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