Poster No:
1290
Submission Type:
Abstract Submission
Authors:
Sarah Tung1, Xiaoqian Yan2, Bella Fascendini3, Christina Tyagi1, Charleny Martinez Reyes1, Keithan Ducre1, Karla Perez1, Ahmad Allen1, Juliet Horenziak1, Hua Wu4, Vaidehi Natu1, Kalanit Grill-Spector1,5
Institutions:
1Psychology Department, Stanford University, Stanford, USA, 2Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 3Department of Psychology, Princeton University, Princeton, USA, 4Center for Cognitive and Neurobiological Imaging, Stanford, USA, 5Wu Tsai Neurosciences Institute, Stanford University, Stanford, USA
First Author:
Sarah Tung
Psychology Department, Stanford University
Stanford, USA
Co-Author(s):
Xiaoqian Yan
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
Shanghai, China
Keithan Ducre
Psychology Department, Stanford University
Stanford, USA
Karla Perez
Psychology Department, Stanford University
Stanford, USA
Ahmad Allen
Psychology Department, Stanford University
Stanford, USA
Hua Wu
Center for Cognitive and Neurobiological Imaging
Stanford, USA
Vaidehi Natu
Psychology Department, Stanford University
Stanford, USA
Kalanit Grill-Spector
Psychology Department, Stanford University|Wu Tsai Neurosciences Institute, Stanford University
Stanford, USA|Stanford, USA
Introduction:
Cortical folding varies widely among mammals and is particularly pronounced in human brains [1]. Sulcal deepening begins in utero and continues in the first two years of life [2]. It has been hypothesized that sulci deepen to accommodate for cortical expansion. However, how early emerging sulcal folds deepen during infancy remains largely unknown. Here, we examined how early emerging sulcal folds deepen in the first year of human life and whether sulcal deepening is associated with changes in (1) macrostructural features such as curvature, surface area, and cortical thickness, and (2) microstructural tissue properties in gray and adjacent white matter such as increases in tissue microstructure associated with myelination [3, 4].
Methods:
We used MRI to measure T1- and T2-weighted anatomicals and quantitative MRI to measure relaxation rate (R1) in 43 infants over 87 session (27 infants are longitudinal) in newborns (n=27, 10 females, M= 29.1 days, SD=9.9 days), 3-month-olds (n=27, 14 females, M=105.8 days, SD=18.6 days), 6-month-olds (n= 22, 10 females, M=189.3 days, SD=15.8 days), and 1-year-olds (n=11, 4 females, M=385.1 days, SD=16.9 days). Higher R1 indicates higher tissue density and a more developed cortex. To test sulcal development, we analyzed 12 sulcal folds that emerge in utero between 16 - 31 gestational weeks [5], distributed across the cortical surface (Fig 1A). We used the adult average FreeSurfer brain and cortex-based alignment to identify each sulcal fold in every individual infant's brain and age (Fig 1B). We validated the reliability of automated sulcal fold identification by comparing the accuracy of automated versus hand-drawn sulci using dice coefficients. We found no significant age-related effect of dice coefficient (3-way ANOVA, with factors: age, hemisphere, and sulcus, no main effect of age: F=0.20, p=0.90, sulcus: F=0.73, p=0.70, or hemisphere: F=1.04, p=0.31). Then, in each individual sulcus, we measured the average sulcal depth, surface area, thickness, curvature, and R1. Using linear mixed models (LMMs), we quantified the development of sulci as a function of age and tested if sulcal deepening is significantly related to macro- and microstructural properties.
Results:
Our study revealed five main findings: First, all sulcal folds significantly deepen in the first year of life, except for the calcarine sulcus, which remains unchanged (Fig 1C). Second, early emerging sulci are deeper at birth than later emerging sulci, but deepen more slowly after birth (Fig 1I,O). Third, surface area and cortical thickness increase with age (Fig 1D,E), but all sulci become less concave (Fig 1F). Fourth, R1 linearly increases in both gray and white matter in all sulci, with R1 being larger at birth in gray matter than in white matter (Fig 1G,H). However, this pattern reverses after birth, whereby the rate of R1 development in white matter is higher than that in gray matter (Fig 1M,N). Together, these data suggest heterogenous development of macro- and microstructural properties in these sulci. LMMs relating sulcal depth with macro- and microstructural properties revealed that a linear combination of surface area, curvature, thickness, and R1 best predict sulcal depth across the first year of life (R2=0.78; AIC= 2150). This combined model demonstrated a significant positive relationship between sulcal depth and R1 (β=2.08; p=0.0005), thickness (β=0.248, p=0.005), surface area (β=0.0008, p<0.0001), and a negative relationship with curvature (β=-6.09, p=6.46x10-6).

Conclusions:
Our results indicate that there are differential developments in macro- and microstructural properties of early emerging sulcal folds of the human brain. Mechanistically, we propose that cortical expansion, characterized by changes in surface area, thickness, and curvature, and microstructural tissue growth contribute to sulcal deepening during the first year of human life.
Lifespan Development:
Normal Brain Development: Fetus to Adolescence 1
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Cortical Anatomy and Brain Mapping 2
Keywords:
Development
MRI
Myelin
STRUCTURAL MRI
Vision
White Matter
1|2Indicates the priority used for review
Provide references using author date format
[1] Zilles, K. et al. (2013), 'Development of cortical folding during evolution and ontogeny', Trends in Neurosciences, 36, 275-284.
[2] Meng, Y. et al. (2014), 'Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants', NeuroImage, 100, 206–218.
[3] Van Essen, D. (1997), 'A tension-based theory of morphogenesis and compact wiring in the central nervous system', Nature, 385, 313–318.
[4] Van Essen, D. (2020), 'A 2020 view of tension-based cortical morphogenesis', Proceedings of the National Academy of Sciences of the United States of America, 117(52), 32868–32879.
[5] Chi, J. G. et al. (1977), 'Gyral development of the human brain,' Annals of neurology, 1(1), 86–93.