Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: A feasibility study using quantitative diffusion tensor imaging and tractography

Dubois, Jessica; Hertz-Pannier, Lucie; Dehaene‐Lambertz, Ghislaine; Yann, C.; Bihan, Denis Le

doi:10.1016/j.neuroimage.2005.11.022

Cited by 301 publications

(231 citation statements)

References 61 publications

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“…This MD decrease across age is a consistent finding in DTI studies (Schmithorst et al, 2002;Barnea-Goraly et al, 2005;Bonekamp et al, 2007;Dubois et al, 2006). MD is the overall magnitude of water diffusion and is a sensitive indicator of maturational changes in brain tissue.…”

Section: Discussionsupporting

confidence: 71%

Age-Related Differences and Heritability of the Perisylvian Language Networks

Budisavljević

Dell’Acqua

Rijsdijk³

et al. 2015

J. Neurosci.

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Acquisition of language skills depends on the progressive maturation of specialized brain networks that are usually lateralized in adult population. However, how genetic and environmental factors relate to the age-related differences in lateralization of these language pathways is still not known. We recruited 101 healthy right-handed subjects aged 9 -40 years to investigate age-related differences in the anatomy of perisylvian language pathways and 86 adult twins (52 monozygotic and 34 dizygotic) to understand how heritability factors influence language anatomy. Diffusion tractography was used to dissect and extract indirect volume measures from the three segments of the arcuate fasciculus connecting Wernicke's to Broca's region (i.e., long segment), Broca's to Geschwind's region (i.e., anterior segment), and Wernicke's to Geschwind's region (i.e., posterior segment). We found that the long and anterior arcuate segments are lateralized before adolescence and their lateralization remains stable throughout adolescence and early adulthood. Conversely, the posterior segment shows right lateralization in childhood but becomes progressively bilateral during adolescence, driven by a reduction in volume in the right hemisphere. Analysisofthetwinsampleshowedthatgeneticandsharedenvironmentalfactorsinfluencetheanatomyofthosesegmentsthatlateralizeearlier, whereas specific environmental effects drive the variability in the volume of the posterior segment that continues to change in adolescence and adulthood. Our results suggest that the age-related differences in the lateralization of the language perisylvian pathways are related to the relative contribution of genetic and environmental effects specific to each segment.

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Section: Discussionsupporting

confidence: 71%

Age-Related Differences and Heritability of the Perisylvian Language Networks

Budisavljević

Dell’Acqua

Rijsdijk³

et al. 2015

J. Neurosci.

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“…107,108 In addition to basic 3D visualization, many studies have used fiber tracking to delineate specific white matter tracts for quantitative analysis. Quantitative DTI tractography studies have examined the microstructure of white matter tracts in pediatric subjects, [109][110][111][112] in elderly subjects, 113 and in patients with schizophrenia, 114 brain tumors, 115 Alzheimer disease, 116 and many other disorders. DTI fiber tracking can objectively create 3D regions of interest specific to an entire white matter tract.…”

Section: Dti Fiber Tracking: Clinical Applicationsmentioning

confidence: 99%

Diffusion Tensor MR Imaging and Fiber Tractography: Theoretic Underpinnings

Mukherjee¹,

Berman²,

Chung³

et al. 2008

AJNR Am J Neuroradiol

433

312

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SUMMARY:In this article, the underlying theory of clinical diffusion MR imaging, including diffusion tensor imaging (DTI) and fiber tractography, is reviewed. First, a brief explanation of the basic physics of diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) mapping is provided. This is followed by an overview of the additional information that can be derived from the diffusion tensor, including diffusion anisotropy, color-encoded fiber orientation maps, and 3D fiber tractography. This article provides the requisite background for the second article in this 2-part review to appear next month, which covers the major technical factors that affect image quality in diffusion MR imaging, including the acquisition sequence, magnet field strength, gradient amplitude and slew rate, and multichannel radio-frequency coils and parallel imaging. The emphasis is on optimizing these factors for state-of-the-art DWI and DTI based on the best available evidence in the literature. Diffusion MR imaging of the brain was first adopted for use in clinical neuroradiology during the early 1990s and was found to have immediate utility for the evaluation of suspected acute ischemic stroke. Since that time, enormous strides forward in the technology of diffusion imaging have greatly improved image quality and enabled many new clinical applications. These include the diagnosis of intracranial pyogenic infections, masses, trauma, and vasogenic-versus-cytotoxic edema. Furthermore, the advent of diffusion tensor imaging (DTI) and fiber tractography has opened an entirely new noninvasive window on the white matter connectivity of the human brain. DTI and fiber tractography have already advanced the scientific understanding of many neurologic and psychiatric disorders and have been applied clinically for the presurgical mapping of eloquent white matter tracts before intracranial mass resections.This 2-part review explores the current state of the art for the acquisition and analysis of clinical diffusion imaging, including DTI and fiber tractography. This first article begins with an explanation of the basic physics and underlying theory of diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) mapping. This is followed by an overview of the additional information that can be derived from the diffusion tensor, including diffusion anisotropy, color-encoded fiber-orientation maps, and 3D fiber tractography. This article provides the necessary background for the second article, which focuses on the major technical factors that affect image quality in diffusion imaging, with an emphasis on optimizing these factors for state-of-the-art DWI and DTI based on the best available evidence in the literature. Theoretic Underpinnings of Diffusion ImagingBrownian Motion and Tissue Ultrastructure Diffusion, also known as "Brownian motion," refers to constant random microscopic molecular motion due to heat. At a fixed temperature, the rate of diffusion can be described by the Einstein equation 1 :where Ͻr 2 Ͼ refers...

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“…It is possible that the measured WM volumes, as determined from conventional MR imaging, reflect changes in macrostructure only, and may not be sensitive to WM microstructure. 31,32 Such microstructural changes are within the reach of DTI, an MR imaging technique that allows studying the in vivo microstructure and the volume of the major WM tracts. DTI assesses and quantifies water diffusion at a microstructural level, given that water diffuses more easily in the direction of the fibers than orthogonally.…”

mentioning

confidence: 99%