Neurodevelopmental Patterns of Early Postnatal White Matter Maturation Represent Distinct Underlying Microstructure and Histology

Nazeri, Arash; Krsnik, Željka; Kostović, Ivica; Ha, Sung Min; Kopić, Janja; Alexopoulos, Dimitrios; Kaplan, Sydney; Meyer, Dominique; Luby, Joan L.; Warner, Barbara; Rogers, Cynthia; Barch, Deanna M. Barch; Shimony, Joshua S.; McKinstry, Robert C.; Smyser, Chris; Sotiras, Aristeidis

doi:10.2139/ssrn.4094330

Cited by 1 publication

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“…One unique contribution of the current parcellation is that we used PCA-based distance information from multi-modal MRI images instead of single modality as used in the other neonatal atlases (Alexander et al, 2017;Feng et al, 2019;Gousias et al, 2012;Shi et al, 2011;Wang et al, 2021), and thus the generated atlas could be particularly useful for unbiased functional-structural analysis. Previous studies suggested that the cortical myelination obtained from the T1-weighted and T2-weighted contrast (Glasser and van Essen, 2011) was suggested to be correlated with the degree of myelination (Soun et al, 2017), which was already widely used in both adult and infant study (Caspers et al, 2013;Fenchel et al, 2020;Glasser et al, 2013;Makropoulos et al, 2018;Nazeri et al, 2022;Soun et al, 2017). dMRI reveals the tissue microstructure based on restricted water diffusion (Mori and Zhang, 2006).…”

Section: Discussionmentioning

confidence: 99%

Multi-modal multi-resolution atlas of the human neonatal cerebral cortex based on microstructural similarity

Cao

et al. 2022

Preprint

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The neonatal period is a critical window for the development of the human brain and may hold implications for the long-term development of cognition and disorders. Multi-modal connectome studies have revealed many important findings underlying the adult brain but related studies were rare in the early human brain. One potential challenge is the lack of an appropriate and unbiased parcellation that combines structural and functional information in this population. Using 348 multi-modal MRI datasets from the developing human connectome project, we found that the information fused from the structural, diffusion, and functional MRI was relatively stable across MRI features and showed high reproducibility at the group level. Therefore, we generated automated multi-resolution parcellations (300 - 500 parcels) based on the similarity across multi-modal features using a gradient-based parcellation algorithm. In addition, to acquire a parcellation with high interpretability, we provided a manually delineated parcellation (210 parcels), which was approximately symmetric, and the adjacent areas around each boundary were statistically different in terms of the integrated similarity metric and at least one kind of original features. Overall, the present study provided multi-resolution and neonate-specific parcellations of the cerebral cortex based on multi-modal MRI properties, which may facilitate future studies of the human connectome in the early development period.

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Section: Discussionmentioning

confidence: 99%

Multi-modal multi-resolution atlas of the human neonatal cerebral cortex based on microstructural similarity

Cao

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

Neurodevelopmental Patterns of Early Postnatal White Matter Maturation Represent Distinct Underlying Microstructure and Histology

Cited by 1 publication

References 59 publications

Multi-modal multi-resolution atlas of the human neonatal cerebral cortex based on microstructural similarity

Multi-modal multi-resolution atlas of the human neonatal cerebral cortex based on microstructural similarity

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