Development of regional brain gray matter volume across the first 13 years of life is associated with childhood math computation ability for children born very preterm and full term

Collins, Simonne E; Thompson, Deanne K.; Kelly, Claire E.; Gilchrist, Courtney; Matthews, Lillian G.; Pascoe, Leona; Lee, Katherine J.; Inder, Terrie E.; Doyle, Lex W.; Cheong, Jeanie L.Y.; Burnett, Alice; Anderson, Peter J.

doi:10.1016/j.bandc.2022.105875

Cited by 5 publications

(3 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SWS is a preliminary version of a BE tool available within the Morphologically Adaptive Neonatal Tissue Segmentation (MANTiS) toolbox [42], based on watershed transform. It can be used before the tissue classification pipeline and has been used in several studies [55][56][57][58][59][60][61][62][63][64][65], although it was not used in the validation study of the toolbox (they used BET instead) as it was not available then.…”

Section: Selection Of Automated Brain Extraction Methodsmentioning

confidence: 99%

Brain Extraction Methods in Neonatal Brain MRI and Their Effects on Intracranial Volumes

Vaz,

Canto Moreira,

Hellström-Westas

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

Magnetic resonance imaging (MRI) plays an important role in assessing early brain development and injury in neonates. When using an automated volumetric analysis, brain tissue segmentation is necessary, preceded by brain extraction (BE) to remove non-brain tissue. BE remains challenging in neonatal brain MRI, and despite the existence of several methods, manual segmentation is still considered the gold standard. Therefore, the purpose of this study was to assess different BE methods in the MRI of preterm neonates and their effects on the estimation of intracranial volumes (ICVs). This study included twenty-two premature neonates (mean gestational age ± standard deviation: 28.4 ± 2.1 weeks) with MRI brain scans acquired at term, without detectable lesions or congenital conditions. Manual segmentation was performed for T2-weighted scans to establish reference brain masks. Four automated BE methods were used: Brain Extraction Tool (BET2); Simple Watershed Scalping (SWS); HD Brain Extraction Tool (HD-BET); and SynthStrip. Regarding segmentation metrics, HD-BET outperformed the other methods with median improvements of +0.031 (BET2), +0.002 (SWS), and +0.011 (SynthStrip) points for the dice coefficient; and −0.786 (BET2), −0.055 (SWS), and −0.124 (SynthStrip) mm for the mean surface distance. Regarding ICVs, SWS and HD-BET provided acceptable levels of agreement with manual segmentation, with mean differences of −1.42% and 2.59%, respectively.

show abstract

Section: Selection Of Automated Brain Extraction Methodsmentioning

confidence: 99%

Brain Extraction Methods in Neonatal Brain MRI and Their Effects on Intracranial Volumes

Vaz,

Canto Moreira,

Hellström-Westas

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…A recent study investigating associations between GMV and math skills in a relatively large sample of children (n=224) already suggest that this might be the case. Indeed, after adjusting for total brain volume, the authors found no concurrent associations between GMV and math skills at age 7 and a unique association with GMV in the left STG at age 13 46 . Yet, most children included in that study were born preterm, and even that sample size remains modest for a BWAS 44,45 .…”

Section: Introductionmentioning

confidence: 95%

Arithmetic skills are associated with grey matter volume in the left inferior frontal gyrus: A brain-wide association study with 536 children and adolescents

Viesel-Nordmeyer

Prado

2022

Preprint

View full text Add to dashboard Cite

Although mental arithmetic is a foundation for mathematical development, it is also the source of large individual differences across development. Although a number of brain-wide association studies have attempted to identify the neural correlates of these individual differences, these studies were largely underpowered and have yielded inconsistent results. In the current voxel-based morphometry study, we merged six structural imaging datasets of children and adolescents (from 7.5 to 15 years) whose arithmetic skills levels were assessed, leading to a combined sample of n=536. Across the whole sample, we found a unique positive relation between arithmetic skills and grey matter volume (GMV) in the left inferior frontal gyrus. We also found positive relations between GMV and arithmetic skills in the bilateral temporal cortex in adolescents. In sum, our results highlight brain-wide associations between arithmetic skills and GMV of perisylvian regions, suggesting a role for language processing in individual differences in arithmetic skills.

show abstract

“…A recent study investigating associations between GMV and math skills in a relatively large sample of children ( n = 224) already suggests that this might be the case. Indeed, after adjusting for total brain volume, the authors found no concurrent associations between GMV and math skills at age 7 and only a unique association with GMV in the left superior temporal cortex at age 13 28 . Yet, most children included in that study were born preterm, and even that sample size remains modest for a BWAS 26 , 27 .…”

Section: Introductionmentioning

confidence: 96%

Arithmetic skills are associated with left fronto-temporal gray matter volume in 536 children and adolescents

Viesel-Nordmeyer,

Prado

2023

npj Sci. Learn.

View full text Add to dashboard Cite

There are large individual differences in arithmetic skills. Although a number of brain-wide association studies have attempted to identify the neural correlates of these individual differences, studies have focused on relatively small sample sizes and have yielded inconsistent results. In the current voxel-based morphometry study, we merged six structural imaging datasets of children and adolescents (from 7.5 to 15 years) whose levels of arithmetic skills were assessed, leading to a combined sample of n = 536. Controlling for individual differences in age, gender, as well as language, and intelligence, we found a unique positive relation between arithmetic skill and gray matter volume in the left inferior frontal gyrus (IFG) and middle temporal gyrus (MTG). Our results suggest that individual differences in arithmetic skills are associated with structural differences in left fronto-temporal areas, rather than in regions of the parietal cortex and hippocampus that are often associated with arithmetic processing.

show abstract

Development of regional brain gray matter volume across the first 13 years of life is associated with childhood math computation ability for children born very preterm and full term

Cited by 5 publications

References 56 publications

Brain Extraction Methods in Neonatal Brain MRI and Their Effects on Intracranial Volumes

Brain Extraction Methods in Neonatal Brain MRI and Their Effects on Intracranial Volumes

Arithmetic skills are associated with grey matter volume in the left inferior frontal gyrus: A brain-wide association study with 536 children and adolescents

Arithmetic skills are associated with left fronto-temporal gray matter volume in 536 children and adolescents

Contact Info

Product

Resources

About