ArticleNeuroImage2015
Effects of rejecting diffusion directions on tensor-derived parameters.
Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Diffusion tensor imaging and diffusion kurtosis imaging of the pancreas - feasibility, robustness and protocol comparison in a healthy population.Abdominal radiology (New York) · 2025Article
- White matter properties in fronto-parietal tracts predict maladaptive functional activation and deficient response inhibition in ADHD.Scientific reports · 2025Article
- Article
- Automated motion artifact detection in early pediatric diffusion MRI using a convolutional neural network.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Attention-deficit/hyperactivity disorder and white matter microstructure: the importance of dimensional analyses and sex differences.JCPP advances · 2022Article
- Effect of number of diffusion-encoding directions in diffusion metrics of 5-year-olds using tract-based spatial statistical analysis.The European journal of neuroscience · 2022Article
- Participant factors that contribute to magnetic resonance imaging motion artifacts in children with mild traumatic brain injury or orthopedic injury.Brain imaging and behavior · 2022Article
- Lifetime Alcohol Use Influences the Association Between Future-Oriented Thought and White Matter Microstructure in Adolescents.Alcohol and alcoholism (Oxford, Oxfordshire) · 2021Article
- Reduced anxiety and changes in amygdala network properties in adolescents with training for awareness, resilience, and action (TARA).NeuroImage. Clinical · 2021Article
- Associations between nucleus accumbens structural connectivity, brain function, and initiation of binge drinking.Addiction biology · 2020Article
- The Canadian Biomarker Integration Network in Depression (CAN-BIND): magnetic resonance imaging protocolsJournal of psychiatry & neuroscience : JPN · 2019Article
- Altered frontostriatal white matter microstructure is associated with familial alcoholism and future binge drinking in adolescence.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019Article
- Reduced White Matter Fiber Density in Autism Spectrum Disorder.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- Sex differences in network controllability as a predictor of executive function in youth.NeuroImage · 2019Article
- Test-Retest Reliability of Graph Theoretic Metrics in Adolescent Brains.Brain connectivity · 2019Article
- Diffusion MRI of white matter microstructure development in childhood and adolescence: Methods, challenges and progress.Developmental cognitive neuroscience · 2018Review
- The impact of in-scanner head motion on structural connectivity derived from diffusion MRI.NeuroImage · 2018Article
- Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth.Current biology : CB · 2017Article
- Microstructure of the Default Mode Network in Preterm Infants.AJNR. American journal of neuroradiology · 2017Article
- Family Income, Cumulative Risk Exposure, and White Matter Structure in Middle Childhood.Frontiers in human neuroscience · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Diffusion Tensor Imaging (DTI) is adversely affected by subject motion. It is necessary to discard the corrupted images before diffusion parameter estimation. However, the consequences of rejecting those images are not well understood. In this study, we investigated the effects of excluding one or more volumes of diffusion weighted images by analyzing the changes in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD) and the primary eigenvector (V1). Based on the full set of diffusion images acquired by the Jones30 diffusion scheme, we generated incomplete sets of at least six in three different ways: random, uniform and clustered rejections. The results showed that MD was not significantly affected by rejecting diffusion directions. In the cases of random rejections, FA, AD, RD and V1 were overestimated more greatly with increasing number of rejections and the overestimations were worse in low FA regions than high FA regions. For uniform rejections, at which the remaining diffusion directions are evenly distributed on a sphere, little change was observed in FA and in V1. Clustered rejections, on the other hand, displayed the most significant overestimation of the parameters, and the resulting accuracy depended on the relative orientation of the underlying fibers with respect to the excluded directions. In practice, if diffusion direction data is excluded, it is important to note the number and location of directions rejected, in order to make a more precise analysis of the data.
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Registered trials
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