Mapping White Matter Microstructure in the One Month Human Brain

Dean, Douglas C.; Planalp, Elizabeth M.; Wooten, William; Adluru, Nagesh; Kecskemeti, Steven; Frye, Corrina; Schmidt, Cory K.; Schmidt, Nicole L.; Styner, Martin; Goldsmith, H. Hill; Davidson, Richard J.; Alexander, Andrew L.

doi:10.1038/s41598-017-09915-6

Cited by 58 publications

(94 citation statements)

References 78 publications

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“…When examining each morphometric measure in isolation, developmental trajectories with clear anatomical structure were found across the PMA range examined replicating prior work (Batalle et al, 2019;Dean et al, 2017). Typical measure of cortical anatomy, thickness and area, as well as a good measure of relative T1w contrast, myelin content, showed strong increases with age .…”

Section: Discussionsupporting

confidence: 71%

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Fenchel

Dimitrova

Seidlitz

et al. 2020

Preprint

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In the perinatal brain, regional cortical architecture and connectivity lay the foundations for functional circuits and emerging behaviour. Interruptions or atypical development during or before this period may therefore have long-lasting consequences. However, to be able to investigate these deviations, we need a measure of how this architecture evolves in the typically developing brain.To this end, in a large cohort of 241 term-born infants we used Magnetic Resonance Imaging to estimate cortical profiles based on morphometry and microstructure over the perinatal period (37-44 weeks post-menstrual age, PMA). Using the covariance of these profiles as a measure of interareal network similarity (Morphometric Similarity Networks; MSN), we clustered these networks into distinct modules. The resulting modules were consistent and symmetric, and corresponded to known functional distinctions, including sensory-motor, limbic and association regions and were spatially mapped onto known cytoarchitectonic tissue classes. Posterior (parietal, occipital) regions became more morphometrically similar with increasing PMA, while peri-cingulate and medial temporal regions became more dissimilar. Network strength was associated with PMA:Within-network similarity increased over PMA suggesting emerging network distinction. These changes in cortical network architecture over an eight-week period are consistent with, and likely underpin, the highly dynamic behavioural and cognitive development occurring during this critical period. The resulting cortical profiles might provide normative reference to investigate atypical early brain development.

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Section: Discussionsupporting

confidence: 71%

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Fenchel

Dimitrova

Seidlitz

et al. 2020

Preprint

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“…The resulting axial diffusivity 305 age trajectories are in agreement with previous studies [34][35][36]. However, while these numbers 306 pertain to the whole of white matter, regional differences in developmental trajectories of DTI 307 quantities in the neonate brain have been observed [37]. In the infants, a further look into 308 high FA (¿0.5) regions, which reduce to portions of the corpus callosum and the internal 309 capsule, revealed that average optimal d in these regions is comparable to that seen in the adult global WM.…”

supporting

confidence: 86%

“…In the infants, a further look into 308 high FA (¿0.5) regions, which reduce to portions of the corpus callosum and the internal 309 capsule, revealed that average optimal d in these regions is comparable to that seen in the adult global WM. These regions in the infant are thought to be myelinated by one month after 311 birth and to have higher fiber coherence than other white matter areas [37]. The lower FA 312 regions (not shown) in the infant brain, which presumably reflect less or not-yet myelinated 313 axons and or lower fiber coherence, exhibit values of average optimal d that are similar to 314 those of whole WM.…”

mentioning

confidence: 95%

Optimizing the fitting initial condition for the parallel intrinsic diffusivity in NODDI: An extensive empirical evaluation

Guerrero

Adluru

Bendlin

et al. 2019

Preprint

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Purpose: NODDI is widely used in parameterizing microstructural brain properties. The model includes three signal compartments: intracellular, extracellular, and free water. The neurite compartment intrinsic parallel diffusivity (d ) is set to 1.7 µm 2 ·ms −1 , though the effects of this assumption have not been extensively explored. This work seeks to optimize d by minimizing the model residuals. Methods: The model residuals were evaluated in function of d over the range from 0.5 to 3.0 µm 2 ·ms −1 . This was done with respect to tissue type (i.e., white matter versus gray matter), sex, age (infancy to late adulthood), and diffusion-weighting protocol (maximum b-value). Variation in the estimated parameters with respect to d was also explored. Results: Results show the optimum d is significantly lower for gray matter relative to 1.7 µm 2 ·ms −1 and to white matter. Infants showed significantly decreased optimum d in gray and white matter. Minor optimum d differences were observed versus diffusion protocol. No significant sex effects were observed. Additionally, changes in d resulted in significant changes to the estimated NODDI parameters. Conclusion: Future implementations of NODDI would benefit from d optimization, particularly when investigating young populations and/or gray matter. 2 relating the dMRI signal to microstructural properties in white and gray matter [1-7]. Neurite 3 orientation dispersion and density imaging (NODDI) [7], separates the brain tissue 4 microstructure landscape into three compartments: intracellular space or neurites (axons, 5 dendrites), extracellular tissue matrix, and a free water compartment. In spite of its 6 shortcomings, much like the case of other techniques such as diffusion tensor imaging (DTI), 7 NODDI offers useful information and has been widely used in the investigation of brain tissue 8 microstructure as a function of early development, cognitive function and aging as well as a 9 number of neurological conditions [8-13]. 10 Biophysical modeling relies on simplifying assumptions about the tissue properties. Besides 11 the separation of tissue into three compartments, the NODDI model is characterized by the 12 May1, 2019 1/12 following features or assumptions. Each compartment is represented by its own normalized 13 signal and volume fraction. Water exchange between compartments is assumed negligible. 14 Neurites are modeled as sticks (cylinders of zero radius) for capturing highly anisotropic 15 architecture of neuronal tissue. Diffusion inside the neurites is described by a diffusivity 16 parallel to the sticks, which is referred to as the intrinsic diffusivity, d , and zero diffusivity 17 perpendicular to them. The orientation distribution function (ODF) of the sticks at each voxel 18 is modeled by an axially symmetric Watson distribution, W [14], which itself is characterized by 19 a concentration parameter κ and mean orientation µ. Highly aligned sticks like those seen in 20 white matter bundles are reflected by high κ values, while highly dispersed sticks like tho...

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“…In previous works, we showed the relationship between white matter abnormalities detected by cUSs and GA and the effect on both short-and long-term neurodevelopment played by white matter pattern of maturation (Di Rosa et al, 2016;Marseglia et al, 2015). Qualitative white matter abnormalities could result in widespread brain dysmaturation and were previously related to male gender by BRIEF REPORT 7 of 9 neuroimaging studies (Dean III et al, 2017). In conclusion, an easy clinical temporal assessment revealed different genderrelated profiles of achievement of developmental milestones in our moderate and late PT infants that were persistent at the long-term observation.…”

Section: Discussionmentioning

confidence: 92%

Gender affects early psychomotor milestones and long‐term neurodevelopment of preterm infants

Rosa

Pironti

Cucinotta

et al. 2018

Infant and Child Development

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Temporal differences of neurodevelopmental milestones' achievement are commonly taken into account in preterm infant assessment during the first year of life, especially when minor or none neurological signs arise from clinical examination. The influence of gender on neurodevelopment in preterm infants was examined by a milestones‐based neurological approach. Two‐hundred twenty‐seven moderate and late preterm and full‐term infants (51.9% male), without evidence of severe white matter insults, were early assessed by classic neurological examination. Griffiths Mental Developmental Scale was used at long‐term observation. Children were sorted into three gestational age groups (Group 1: 32–33 weeks, Group 2: 34–36 weeks, and Group 3: ≥37 weeks) and compared according to their neurodevelopmental pathways and gender. The achievement of head control was slightly earlier in females. The pointing, one of the main communicative hand gesture, appeared significantly earlier in females across all the groups. At the Griffiths Scale, the majority of gender‐related differences emerged in personal–social and eye and hand coordination subscale. An independent role of male gender was evidenced in personal–social, language, and eye and hand coordination subscales. Gender and gestational age likely addressed different temporal profiles of neurodevelopment in early and late assessments in preterm and full‐term infants. The role of gender and gestational age on these findings has been discussed. Highlights A classic, milestones‐based neurological evaluation disclosed different developmental profiles in males versus females preterm infants. Moderate preterm and full‐term infants showed similar developmental profiles. Gender and gestational age may influence neurodevelopment.

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Mapping White Matter Microstructure in the One Month Human Brain

Cited by 58 publications

References 78 publications

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Optimizing the fitting initial condition for the parallel intrinsic diffusivity in NODDI: An extensive empirical evaluation

Gender affects early psychomotor milestones and long‐term neurodevelopment of preterm infants

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