Neurite density index is sensitive to age related differences in the developing brain

Genc, Sila; Malpas, Charles B; Holland, Scott K.; Beare, Richard; Silk, Tim

doi:10.1016/j.neuroimage.2017.01.023

Cited by 115 publications

(128 citation statements)

References 38 publications

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“…NODDI measures help to clarify trends in DTI measures, and have been leveraged by previous cross‐sectional studies to describe age‐related trends in white matter with greater specificity. Our longitudinal results are in line with previous cross‐sectional findings of positive correlations between NDI and age and no correlation with ODI during adolescence (Chang et al, ; Genc, Malpas, et al, ; Mah et al, ). While most regions and measures showed linear trends, quadratic models outperformed linear models for MD in the splenium, and NDI in all regions except the right IFOF, right CST, and splenium, however, quadratic age effects did not survive multiple comparisons.…”

Section: Discussionsupporting

confidence: 93%

“…When viewed across the full developmental period, white matter maturation is nonlinear (Lebel, Treit, & Beaulieu, ), but can appear linear when considering restricted age ranges. NDI has previously been shown to be more sensitive to age‐related change than diffusion measures (Genc, Malpas, et al, ), thus NDI may be sensitive enough to developmental processes to appropriately describe nonlinear white matter development occurring during adolescence. In regions where quadratic models outperformed linear models, rates of change decreased with age, and measures were likely approaching their developmental plateau.…”

Section: Discussionmentioning

confidence: 99%

“…While some of these measures have been applied in studies of white matter development, major knowledge gaps remain unexplored. Cross‐sectional studies have applied NODDI to show NDI is more sensitive to age‐related change than FA or MD (Genc, Malpas, Holland, Beare, & Silk, ), and increases during late childhood and adolescence (Chang et al, ; Genc, Malpas, et al, ; Mah, Geeraert, & Lebel, ). On the other hand, ODI undergoes little to no change during childhood and adolescence, suggesting fiber coherence is established early and remains stable during childhood.…”

Section: Introductionmentioning

confidence: 99%

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A multiparametric analysis of white matter maturation during late childhood and adolescence

Geeraert

Lebel

2019

Human Brain Mapping

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White matter development has been well described using diffusion tensor imaging (DTI), but the microstructural processes driving development remain unclear due to methodological limitations. Here, using neurite orientation dispersion and density imaging (NODDI), inhomogeneous magnetization transfer (ihMT), and multicomponent driven equilibrium single‐pulse observation of T1/T2 (mcDESPOT), we describe white matter development at the microstructural level in a longitudinal cohort of healthy 6–15 year olds. We evaluated age and gender‐related trends in fractional anisotropy (FA), mean diffusivity (MD), neurite density index (NDI), orientation dispersion index (ODI), quantitative ihMT (qihMT), myelin volume fraction (VFm), and g‐ratio. We found age‐related increases of VFm in most regions, showing ongoing myelination in vivo during late childhood and adolescence for the first time. No relationship was observed between qihMT and age, suggesting myelin volume increases are driven by increased water content. Age‐related increases were observed for NDI, suggesting axonal packing is also occurring during this time. g‐ratio decreased with age in the uncinate fasciculus, implying changes in communication efficiency are ongoing in this region. FA increased and MD decreased with age in most regions. Gender effects were present in the left cingulum for FA, and an age‐by‐gender interaction was found for MD in the left uncinate fasciculus. These findings suggest that FA and MD remain useful markers of gender‐related processes, and gender differences are likely driven by factors other than myelin. We conclude that white matter development during late childhood and adolescence is driven by a combination of axonal packing and myelin volume increases.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A multiparametric analysis of white matter maturation during late childhood and adolescence

Geeraert

Lebel

2019

Human Brain Mapping

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“…This highlights the fact that FA and MD trajectories differ and that both parameters are worth studying and reporting in neurodevelopment, as well as the importance of considering the age range of the participants when comparing the magnitude of change between FA and MD. A recent paper demonstrates that “neurite density index” (NDI) from neurite orientation density and dispersion imaging (NODDI) is more strongly correlated than FA with age during childhood and adolescence, suggesting that it may be more sensitive to the age‐related processes . Advanced diffusion models such as NODDI are only beginning to be used in studies of typical development, but are discussed in more detail below.…”

Section: Interpretation Of Diffusion Changesmentioning

confidence: 99%

“…A recent paper demonstrates that "neurite density index" (NDI) from neurite orientation density and dispersion imaging (NODDI) is more strongly correlated than FA with age during childhood and adolescence, suggesting that it may be more sensitive to the age-related processes. 80 Advanced diffusion models such as NODDI are only beginning to be used in studies of typical development, but are discussed in more detail below.…”

Section: Relative Changes Of Dti Parametersmentioning

confidence: 99%

A review of diffusion MRI of typical white matter development from early childhood to young adulthood

2017

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Understanding typical, healthy brain development provides a baseline from which to detect and characterize brain anomalies associated with various neurological or psychiatric disorders and diseases. Diffusion MRI is well suited to study white matter development, as it can virtually extract individual tracts and yield parameters that may reflect alterations in the underlying neural micro-structure (e.g. myelination, axon density, fiber coherence), though it is limited by its lack of specificity and other methodological concerns. This review summarizes the last decade of diffusion imaging studies of healthy white matter development spanning childhood to early adulthood (4-35 years). Conclusions about anatomical location, rates, and timing of white matter development with age are discussed, as well as the influence of image acquisition, analysis, age range/sample size, and statistical model. Despite methodological variability between studies, some consistent findings have emerged from the literature. Specifically, diffusion studies of neurodevelopment overwhelmingly demonstrate regionally varying increases of fractional anisotropy and decreases of mean diffusivity during childhood and adolescence, some of which continue into adulthood. While most studies use linear fits to model age-related changes, studies with sufficient sample sizes and age range provide clear evidence that white matter development (as indicated by diffusion) is non-linear. Several studies further suggest that maturation in association tracts with frontal-temporal connections continues later than commissural and projection tracts. The emerging contributions of more advanced diffusion methods are also discussed, as they may reveal new aspects of white matter development. Although non-specific, diffusion changes may reflect increases of myelination, axonal packing, and/or coherence with age that may be associated with changes in cognition.

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Autism is associated with in vivo changes in gray matter neurite architecture

Christensen,

Freedman,

Foxe

2024

Autism Research

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Postmortem investigations in autism have identified anomalies in neural cytoarchitecture across limbic, cerebellar, and neocortical networks. These anomalies include narrow cell mini‐columns and variable neuron density. However, difficulty obtaining sufficient post‐mortem samples has often prevented investigations from converging on reproducible measures. Recent advances in processing magnetic resonance diffusion weighted images (DWI) make in vivo characterization of neuronal cytoarchitecture a potential alternative to post‐mortem studies. Using extensive DWI data from the Adolescent Brain Cognitive Developmentsm (ABCD®) study 142 individuals with an autism diagnosis were compared with 8971 controls using a restriction spectrum imaging (RSI) framework that characterized total neurite density (TND), its component restricted normalized directional diffusion (RND), and restricted normalized isotropic diffusion (RNI). A significant decrease in TND was observed in autism in the right cerebellar cortex (β = −0.005, SE =0.0015, p = 0.0267), with significant decreases in RNI and significant increases in RND found diffusely throughout posterior and anterior aspects of the brain, respectively. Furthermore, these regions remained significant in post‐hoc analysis when the autism sample was compared against a subset of 1404 individuals with other psychiatric conditions (pulled from the original 8971). These findings highlight the importance of characterizing neuron cytoarchitecture in autism and the significance of their incorporation as physiological covariates in future studies.

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Neurite density index is sensitive to age related differences in the developing brain

Cited by 115 publications

References 38 publications

A multiparametric analysis of white matter maturation during late childhood and adolescence

A multiparametric analysis of white matter maturation during late childhood and adolescence

A review of diffusion MRI of typical white matter development from early childhood to young adulthood

Autism is associated with in vivo changes in gray matter neurite architecture

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