Hyejin Jeong1, Uk-Su Choi2, and So Yeon Shim3
1Neuroscience Convergence Center, Institute of Green Manufacturing Technology, Korea University, Seoul, Korea, Republic of, 2Medical Device Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, Korea, Republic of, 3Division of Neonatology, Department of Pediatrics, School of Medicine, Ewha Womans University, Seoul, Korea, Republic of
Synopsis
Keywords: Normal Development, Pediatric
Motivation: Very preterm children have a risk of impaired cognitive function mediated by several risk factors. The association between structural alteration and high-order cognitive function remains unclear.
Goal(s): Very preterm children at 6 years old showed significant differences in cortical thickness associated with cognitive abilities compared with term infants.
Approach: Cortical thickness was assessed in 41 very preterm and 24 full-term children at 6 years of age. The cortical thickness analysis of structural T1-weighted images was performed using Advanced Normalization Tools.
Results: Perceptual reasoning indices, high-order cognitive function, were found to be broadly correlated with cortical thickness in both very preterm and term children
Impact: This study explores the between brain structure changes and cognitive abilities in very preterm and full-term children, providing insights for neurodevelopmental diagnosis.
INTRODUCTION
Very preterm children, born before 32 weeks
of gestation, have a risk of impaired cognitive function mediated by several
risk factors. [1] Cognitive impairment can be measured by various
neurodevelopmental assessments and is closely associated with structural
alterations of the brain morphometry such as cortical thickness. [2,3] However,
the association between structural alteration and high-order cognitive function
remains unclear. This study aimed to investigate the neurodevelopmental
association between structural changes and cognitive abilities in very preterm
and full-term children at 6 years old.METHODS
Participants: A total of 65 children (41 very preterm children and 24
full-term children) were recruited and underwent MRI brain scans. The very
preterm group was recruited at 6 years of age, comprising children born preterm
≤ 32 weeks gestational age (GA) and the control group included full-term
children (with ≥ 37 weeks GA at birth). The demographic and clinical
characteristics of the participants are presented in Table 1.
Neurodevelopmental assessment: Neurodevelopmental assessments was conducted
by using the Wechsler Intelligence Scale for Children, fourth edition (WISC-IV). The
WISC-IV provides not only the full-scale intelligence quotients (FSIQ), which
indicates the overall cognitive abilities, but also four factor index scores
based on specific cognitive profiles: the verbal comprehension index (VCI),
perceptual reasoning index (PRI), working memory index (WMI), and processing
speed index (PSI).
MRI acquisition: A 3.0T Siemens scanner (Verio) and a Siemens
matrix coil were used. T1-magnetization-prepared rapid gradient-echo (MPRAGE)
imaging parameters used were as follows: TR = 1900 ms; TE = 2.93 ms;
flip angle = 8°; pixel bandwidth = 170 Hz/pixel; matrix size = 256 × 208;
field-of-view = 256 mm; NEX = 1; slice thickness = 1 mm; total
acquisition time = 4 min 9 s.
Cortical thickness analysis: A cortical thickness analysis of structural
T1-weighted (T1w) images was performed using a customized shell script, the
antsCorticalThickness pipeline, based on Advanced Normalization Tools (ANTs).[4,5]
Statistical analyses: Demographic and neurodevelopmental
assessment scores were compared between very preterm and full-term children by
a two-sample t-test using the Statistical Package for the Social Sciences,
version 22.0, software. The linear regression analysis was performed to
investigate the correlation between cortical thickness and the five indices of
the WISC-IV. Statistical measures with p-values of < 0.05 were
considered statistically significant. RESULTS
In
the cortical thickness analyses, the cortex of very preterm-born children was
significantly thinner than that in full-term children in the left supplementary
motor area, right superior parietal gyrus, and right paracentral lobule.
Conversely, very preterm-born children showed cortex that was significantly
thicker than that in term-born children in the following 13 regions of interest. (Figure 1)
Figure 2 describe the five WISC-IV
scores and their respective correlations with regional cortical thickness. Especially, The Perceptual Reasoning Index (PRI) has been a
widely used measure for high-order cognitive functions, interpreting and
organizing visual information to solve problems. In both preterm and full-term
children, a higher PRI score correlates with decreased cortical thickness. (Figure 2)DISCUSSION
This study
was to investigate the brain morphometry-cognitive function relationship in a
sample of 41 very preterm and 24 full-term children by calculating the cortical
thickness and the association between brain morphometry and cognitive
abilities. We found significant differences in cortical thickness in several
brain regions between the very preterm and full-term group at 6 years of age. In
both groups, cortical thickness was significantly correlated with high-order
cognitive functions. These findings clarify the pathophysiology of cortical
thickness and its association with neurodevelopment in very preterm children,
demonstrating the long-term impact of very preterm birth on structural and
cognitive function.Acknowledgements
This work was
supported by the National Research Foundation of Korea(NRF) grant funded by the
Korea government(MSIT) (No. 2021R1C1C2003663).References
[1] Wood, N. S., et al. (2005) "The EPICure study: associations and
antecedents of neurological and developmental disability at 30 months of age following
extremely preterm birth." Archives of Disease in Childhood-Fetal and
Neonatal Edition 90.2: F134-F140.
[2] Gogtay N, Giedd JN, Lusk L, et al. Dynamic
mapping of human cortical development during childhood through early adulthood.
Proc Natl Acad Sci U S A. 2004;101:8174-8179.
[3] Martinussen M, Flanders DW, Fischl B, et al. Segmental
brain volumes and cognitive and perceptual correlates in 15-year-old
adolescents with low birth weight. J Pediatr.
2009;155:848-853.e1.
[4] Avants BB, Tustison N, Johnson H. Advanced Normalization
Tools (ANTS); 2014.
[5] Tustison NJ, Cook PA, Klein A, et al. Large-scale
evaluation of ANTs and FreeSurfer cortical thickness measurements. NeuroImage. 2014;99:166-179.