Changes in brain water diffusion during childhood

Morriss, Michael C.; Zimmerman, Robert A.; Bilaniuk, Larissa T.; Hunter, Jill V.; Haselgrove, John C.

doi:10.1007/s002340050869

Cited by 161 publications

(136 citation statements)

References 9 publications

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“…As demonstrated previously, white matter ADCs decrease logarithmically with age, but changes after 24 mo are essentially linear and weak when investigated with standard diffusion imaging methods using a b-value of 1,000 s/mm 2 or below (34,36,37). For each subject we computed the average ADC and FA at b = 1,000 s/mm 2 and average ADC at b = 3,000 s/mm 2 over all connections and plotted the results according to developmental age ( Fig.…”

Section: Resultssupporting

confidence: 65%

White matter maturation reshapes structural connectivity in the late developing human brain

Hagmann

Sporns²,

Madan³

et al. 2010

Proc. Natl. Acad. Sci. U.S.A.

625

592

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From toddler to late teenager, the macroscopic pattern of axonal projections in the human brain remains largely unchanged while undergoing dramatic functional modifications that lead to network refinement. These functional modifications are mediated by increasing myelination and changes in axonal diameter and synaptic density, as well as changes in neurochemical mediators. Here we explore the contribution of white matter maturation to the development of connectivity between ages 2 and 18 y using high b-value diffusion MRI tractography and connectivity analysis. We measured changes in connection efficacy as the inverse of the average diffusivity along a fiber tract. We observed significant refinement in specific metrics of network topology, including a significant increase in node strength and efficiency along with a decrease in clustering. Major structural modules and hubs were in place by 2 y of age, and they continued to strengthen their profile during subsequent development. Recording resting-state functional MRI from a subset of subjects, we confirmed a positive correlation between structural and functional connectivity, and in addition observed that this relationship strengthened with age. Continuously increasing integration and decreasing segregation of structural connectivity with age suggests that network refinement mediated by white matter maturation promotes increased global efficiency. In addition, the strengthening of the correlation between structural and functional connectivity with age suggests that white matter connectivity in combination with other factors, such as differential modulation of axonal diameter and myelin thickness, that are partially captured by inverse average diffusivity, play an increasingly important role in creating brain-wide coherence and synchrony.connectome | development | graph | network dynamics | tractography M ost real-world networks do not arise all at once but, guided by rules, develop through a growth process that progressively fine-tunes the configuration of nodes and edges. Thus, an important aspect in the analysis of large-scale networks is the characterization of their dynamic development and evolution. From a theoretical point of view growth rules have been shown to have a significant effect on the emergent behavior of the final large-scale structural topology. For example, the emergence of scale-free networks can be explained by a preferential attachment rule (1, 2), with important functional consequences (3). If we can measure the growth and reshaping of connectivity that occurs with maturation during the developmental process, we can begin to infer growth rules governing this complex process and examine their functional consequences. These growth rules need to be instantiated in a biological system, and therefore the functional consequences would provide hypotheses linking emergent network properties to underlying cellular and molecular mechanisms.Real-world networks rarely grow according to simple statistical models, thus necessitating empirical sampling ov...

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Section: Resultssupporting

confidence: 65%

White matter maturation reshapes structural connectivity in the late developing human brain

Hagmann

Sporns²,

Madan³

et al. 2010

Proc. Natl. Acad. Sci. U.S.A.

625

592

View full text Add to dashboard Cite

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“…The thalamus was selected as an internal reference because it exhibits less age-related change in ADC and higher interobserver reproducibility in measurement, compared with normal white matter. 13,14 The degree of magnetic susceptibility artifact was also graded on a qualitative scale. Warping or distortion of the globe by magnetic susceptibility effect was used to qualitatively estimate the degree of artifact present.…”

Section: Image Analysismentioning

confidence: 99%

Diffusion-Weighted Imaging of Malignant Ocular Masses: Initial Results and Directions for Further Study

Sepahdari¹,

Kapur²,

Aakalu³

et al. 2011

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE: Ocular masses represent a spectrum of malignant tumors and benign lesions that are sometimes difficult to detect and differentiate by conventional imaging techniques. The aim of this study was to characterize a group of malignant ocular masses with DWI, with the goals of establishing reference data and identifying potential clinical applications for improved noninvasive characterization.

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“…1, D av values decrease with increasing age in a monotonic fashion during development until they reach adult values. [16][17][18][19][20][21] Second, D av maps of pediatric brain show contrast between white and gray matter, with the D av values for white matter being higher than those for gray (Fig. 2).…”

Section: Introductionmentioning

confidence: 96%

Diffusion tensor imaging of normal and injured developing human brain ‐ a technical review

et al. 2002

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The application of diffusion tensor imaging (DTI) to the evaluation of developing brain remains an area of active investigation. This review focuses on the changes in DTI parameters which accompany both brain maturation and injury. The two primary pieces of information available from DTI studies-water apparent diffusion coefficient and diffusion anisotropy measures-change dramatically during development, reflecting underlying changes in tissue water content and cytoarchitecture. DTI parameters also change in response to brain injury. In this context, not only does DTI offer the possibility of detecting injury earlier than conventional imaging methods, but also appears more sensitive to disruption of white matter than any other imaging method. DTI offers unique insight into brain injury and maturation, and does so in a fashion that can be readily applied in a clinical setting.

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Changes in brain water diffusion during childhood

Cited by 161 publications

References 9 publications

White matter maturation reshapes structural connectivity in the late developing human brain

White matter maturation reshapes structural connectivity in the late developing human brain

Diffusion-Weighted Imaging of Malignant Ocular Masses: Initial Results and Directions for Further Study

Diffusion tensor imaging of normal and injured developing human brain ‐ a technical review

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