ArticlePloS one2020
Multimodal principal component analysis to identify major features of white matter structure and links to reading.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 53 citations in OpenAlex.
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- Motor learning induces myelin-related white matter changes revealed by MRI-based in vivo histology.Communications biology · 2026Article
- Personalized White Matter Bundle Segmentation for Early Childhood.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Article
- A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography.Human brain mapping · 2025Article
- The relationship between recreational cannabis use, psychotic-like experiences, and the salience network in adolescent and young adult twins.Psychological medicine · 2025Article
- Sex differences in maturational timing of amygdala and prefrontal cortex volumes and white matter tract microstructure.Developmental cognitive neuroscience · 2025Article
- Reading and White Matter Development: A Systematic Review of Neuroplastic Changes in Literacy.Children (Basel, Switzerland) · 2025Review
- Multimodal MEG and Microstructure-MRI Investigations of the Human Hippocampal Scene Network.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Phonological decoding ability is associated with fiber density of the left arcuate fasciculus longitudinally across reading development.Developmental cognitive neuroscience · 2025Article
- Regional network covariance patterns of white matter integrity related to cardiorespiratory fitness in healthy aging.Frontiers in aging neuroscience · 2025Article
- Article
- White matter organisation of sensorimotor tracts is associated with motor imagery in childhood.Brain structure & function · 2024Article
- Microstructural brain assessment in late-life depression and apathy using diffusion MRI multi-compartments models and tractometry.Scientific reports · 2024Article
- [A multi-modal feature fusion classification model based on distance matching and discriminative representation learning for differentiation of high-grade glioma from solitary brain metastasis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Current Auditory Hallucinations Are Not Associated With Specific White Matter Diffusion Alterations in Schizophrenia.Schizophrenia bulletin open · 2024Article
- Integration of diffusion tensor imaging parameters with mesh morphing for in-depth analysis of brain white matter fibre tracts.Brain communications · 2024Article
- A role for the fornix in temporal sequence memory.The European journal of neuroscience · 2023Article
- Applications of advanced diffusion MRI in early brain development: a comprehensive review.Brain structure & function · 2023Review
- White matter microstructural variability linked to differential attentional skills and impulsive behavior in a pediatric population.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The role of white matter in reading has been established by diffusion tensor imaging (DTI), but DTI cannot identify specific microstructural features driving these relationships. Neurite orientation dispersion and density imaging (NODDI), inhomogeneous magnetization transfer (ihMT) and multicomponent driven equilibrium single-pulse observation of T1/T2 (mcDESPOT) can be used to link more specific aspects of white matter microstructure and reading due to their sensitivity to axonal packing and fiber coherence (NODDI) and myelin (ihMT and mcDESPOT). We applied principal component analysis (PCA) to combine DTI, NODDI, ihMT and mcDESPOT measures (10 in total), identify major features of white matter structure, and link these features to both reading and age. Analysis was performed for nine reading-related tracts in 46 neurotypical 6-16 year olds. We identified three principal components (PCs) which explained 79.5% of variance in our dataset. PC1 probed tissue complexity, PC2 described myelin and axonal packing, while PC3 was related to axonal diameter. Mixed effects regression models did not identify any significant relationships between principal components and reading skill. Bayes factor analysis revealed that the absence of relationships was not due to low power. Increasing PC1 in the left arcuate fasciculus with age suggest increases in tissue complexity, while increases of PC2 in the bilateral arcuate, inferior longitudinal, inferior fronto-occipital fasciculi, and splenium suggest increases in myelin and axonal packing with age. Multimodal white matter imaging and PCA provide microstructurally informative, powerful principal components which can be used by future studies of development and cognition. Our findings suggest major features of white matter undergo development during childhood and adolescence, but changes are not linked to reading during this period in our typically-developing sample.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.