TY - JOUR
T1 - Neurodevelopmental patterns of early postnatal white matter maturation represent distinct underlying microstructure and histology
AU - Nazeri, Arash
AU - Krsnik, Željka
AU - Kostović, Ivica
AU - Ha, Sung Min
AU - Kopić, Janja
AU - Alexopoulos, Dimitrios
AU - Kaplan, Sydney
AU - Meyer, Dominique
AU - Luby, Joan L.
AU - Warner, Barbara B.
AU - Rogers, Cynthia E.
AU - Barch, Deanna M.
AU - Shimony, Joshua S.
AU - McKinstry, Robert C.
AU - Neil, Jeffrey J.
AU - Smyser, Christopher D.
AU - Sotiras, Aristeidis
N1 - Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2022/12/7
Y1 - 2022/12/7
N2 - Cerebral white matter undergoes a rapid and complex maturation during the early postnatal period. Prior magnetic resonance imaging (MRI) studies of early postnatal development have often been limited by small sample size, single-modality imaging, and univariate analytics. Here, we applied nonnegative matrix factorization, an unsupervised multivariate pattern analysis technique, to T2w/T1w signal ratio maps from the Developing Human Connectome Project (n = 342 newborns) revealing patterns of coordinated white matter maturation. These patterns showed divergent age-related maturational trajectories, which were replicated in another independent cohort (n = 239). Furthermore, we showed that T2w/T1w signal variations in these maturational patterns are explained by differential contributions of white matter microstructural indices derived from diffusion-weighted MRI. Finally, we demonstrated how white matter maturation patterns relate to distinct histological features by comparing our findings with postmortem late fetal/early postnatal brain tissue staining. Together, these results delineate concise and effective representation of early postnatal white matter reorganization.
AB - Cerebral white matter undergoes a rapid and complex maturation during the early postnatal period. Prior magnetic resonance imaging (MRI) studies of early postnatal development have often been limited by small sample size, single-modality imaging, and univariate analytics. Here, we applied nonnegative matrix factorization, an unsupervised multivariate pattern analysis technique, to T2w/T1w signal ratio maps from the Developing Human Connectome Project (n = 342 newborns) revealing patterns of coordinated white matter maturation. These patterns showed divergent age-related maturational trajectories, which were replicated in another independent cohort (n = 239). Furthermore, we showed that T2w/T1w signal variations in these maturational patterns are explained by differential contributions of white matter microstructural indices derived from diffusion-weighted MRI. Finally, we demonstrated how white matter maturation patterns relate to distinct histological features by comparing our findings with postmortem late fetal/early postnatal brain tissue staining. Together, these results delineate concise and effective representation of early postnatal white matter reorganization.
KW - MRI
KW - Neurodevelopment
KW - data-driven parcellation
KW - histology
KW - newborn
KW - subplate remnant
KW - tissue microstructure
KW - topography
KW - unsupervised machine learning
KW - white matter maturation
UR - http://www.scopus.com/inward/record.url?scp=85140994375&partnerID=8YFLogxK
U2 - 10.1016/j.neuron.2022.09.020
DO - 10.1016/j.neuron.2022.09.020
M3 - Article
C2 - 36243003
AN - SCOPUS:85140994375
SN - 0896-6273
VL - 110
SP - 4015-4030.e4
JO - Neuron
JF - Neuron
IS - 23
ER -