Publications by authors named "John H. Gilmore"

Article Synopsis
  • Poor prenatal sleep quality in mothers is linked to negative outcomes for both the mother and infant, including changes in brain development and increased anxiety-like behaviors.
  • A study involving 116 mother-infant pairs used surveys to assess maternal sleep quality and MRI scans to examine neonatal brain development, specifically focusing on the uncinate fasciculus.
  • Results showed that poorer maternal sleep during pregnancy correlated with higher levels of white matter in infants, which then related to greater infant negative emotionality, indicating that maternal sleep is an important environmental factor influencing child development.
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Turner syndrome, caused by complete or partial loss of an X-chromosome, is often accompanied by specific cognitive challenges. Magnetic resonance imaging studies of adults and children with Turner syndrome suggest these deficits reflect differences in anatomical and functional connectivity. However, no imaging studies have explored connectivity in infants with Turner syndrome.

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Unlabelled: Schizophrenia is a neurodevelopmental disorder associated with deficits in cognitive development and childhood psychopathology. Previous studies have focused on older children and the few studies of early childhood have yielded inconsistent findings. We studied cognitive development and psychopathology in children at familial high risk (FHR) of schizophrenia and matched controls from 1 to 6 years and hypothesized that FHR children would show consistent deficits across cognitive and behavioral measures in early childhood.

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Emotional regulation involves managing attention, affect, and behavior, and is essential for long-term health and well-being, including positive school adjustment. The purpose of this secondary data analysis from the Durham Child Health and Development Study was to explore how parent and teacher reported emotional regulation behaviors related to school adjustment outcomes (social skills, academic performance, and academic achievement) during early childhood. Parent and teacher reports on emotional regulation behaviors showed mixed concordance, however they correlated with critical aspects of school adjustment.

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Introduction: Existing evidence suggests that exposure to phthalates is higher among younger age groups. However, limited knowledge exists on how phthalate exposure, as well as exposure to replacement plasticizers, di(isononyl) cyclohexane-1,2-dicarboxylate (DINCH) and di-2-ethylhexyl terephthalate (DEHTP), change from infancy through early childhood.

Methods: Urine samples were collected across the first 5 years of life from typically developing infants and young children enrolled between 2017 and 2020 in the longitudinal UNC Baby Connectome Project.

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Background: Evidence for sex differences in cognition in childhood is established, but less is known about the underlying neural mechanisms for these differences. Recent findings suggest the existence of brain-behavior relationship heterogeneities during infancy; however, it remains unclear whether sex underlies these heterogeneities during this critical period when sex-related behavioral differences arise.

Methods: A sample of 316 infants was included with resting-state functional magnetic resonance imaging scans at neonate (3 weeks), 1, and 2 years of age.

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Amygdala function is implicated in the pathogenesis of autism spectrum disorder (ASD) and anxiety. We investigated associations between early trajectories of amygdala growth and anxiety and ASD outcomes at school age in two longitudinal studies: high- and low-familial likelihood for ASD, Infant Brain Imaging Study (IBIS, n = 257) and typically developing (TD) community sample, Early Brain Development Study (EBDS, n = 158). Infants underwent MRI scanning at up to 3 timepoints from neonate to 24 months.

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The human brain grows quickly during infancy and early childhood, but factors influencing brain maturation in this period remain poorly understood. To address this gap, we harmonized data from eight diverse cohorts, creating one of the largest pediatric neuroimaging datasets to date focused on birth to 6 years of age. We mapped the developmental trajectory of intracranial and subcortical volumes in ∼2,000 children and studied how sociodemographic factors and adverse birth outcomes influence brain structure and cognition.

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There is strong evidence that the functional connectome is highly related to the white matter connectome in older children and adults, though little is known about structure-function relationships in early childhood. We investigated the development of cortical structure-function coupling in children longitudinally scanned at 1, 2, 4, and 6 years of age (N = 360) and in a comparison sample of adults (N = 89). We also applied a novel graph convolutional neural network-based deep learning model with a new loss function to better capture inter-subject heterogeneity and predict an individual's functional connectivity from the corresponding structural connectivity.

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Article Synopsis
  • - The study investigates how different patterns of maternal psychological stress during pregnancy impact infant brain development and behavior, focusing on both anxiety and depression at various stages of pregnancy.
  • - Researchers identified four varying stress trajectory clusters and found that increasing maternal stress in late pregnancy correlated with reduced development of negative affect in infants, with this pattern confirmed in a larger cohort.
  • - The findings suggest that the specific trajectory of maternal stress is crucial for understanding and potentially improving infant mental health outcomes, highlighting the need for targeted interventions based on maternal stress patterns.
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Prior work has shown that different functional brain networks exhibit different maturation rates, but little is known about whether and how different brain areas may differ in the exact shape of longitudinal functional connectivity growth trajectories during infancy. We used resting-state functional magnetic resonance imaging (fMRI) during natural sleep to characterize developmental trajectories of different regions using a longitudinal cohort of infants at 3 weeks (neonate), 1 year, and 2 years of age (n = 90; all with usable data at three time points). A novel whole brain heatmap analysis was performed with four mixed-effect models to determine the best fit of age-related changes for each functional connection: (i) growth effects: positive-linear-age, (ii) emergent effects: positive-log-age, (iii) pruning effects: negative-quadratic-age, and (iv) transient effects: positive-quadratic-age.

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Human brain undergoes rapid growth during the first few years of life. While previous research has employed graph theory to study early brain development, it has mostly focused on the topological attributes of the whole brain. However, examining regional graph-theory features may provide unique insights into the development of cognitive abilities.

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Article Synopsis
  • Longer sleep during infancy is linked to better development of white matter in the brain, suggesting it plays a critical role in cognitive and emotional functioning.* -
  • The study tracked sleep duration in 112 infants over their first year and found that less decrease in sleep duration was associated with greater white matter volume at 12 months.* -
  • While sleep duration positively correlated with white matter volume, it did not show a significant connection with gray matter volume, indicating different developmental processes for these brain regions.*
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Adult twin neuroimaging studies have revealed that cortical thickness (CT) and surface area (SA) are differentially influenced by genetic information, leading to their spatially distinct genetic patterning and topography. However, the postnatal origins of the genetic topography of CT and SA remain unclear, given the dramatic cortical development from neonates to adults. To fill this critical gap, this study unprecedentedly explored how genetic information differentially regulates the spatial topography of CT and SA in the neonatal brain by leveraging brain magnetic resonance (MR) images from 202 twin neonates with minimal influence by the complicated postnatal environmental factors.

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Purpose: The purpose of this study was to investigate if social adversity is associated with mother reported emotional dysregulation behaviors and trajectories during infancy and early childhood.

Design & Methods: A secondary data analysis from the Durham Child Health and Development study study included 206 child-mother dyads. Three models were used to explore the relationship between social adversity and mother reported emotional dysregulation during infancy (Infant Behavior Questionnaire-Revised) and early childhood (Child Behavior Checklist - Dysregulation Profile).

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Sex differences in behavior have been reported from infancy through adulthood, but little is known about sex effects on functional circuitry in early infancy. Moreover, the relationship between early sex effects on the functional architecture of the brain and later behavioral performance remains to be elucidated. In this study, we used resting-state fMRI and a novel heatmap analysis to examine sex differences in functional connectivity with cross-sectional and longitudinal mixed models in a large cohort of infants (n = 319 neonates, 1-, and 2-year-olds).

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Article Synopsis
  • * The early years, especially from birth to age 6, are crucial for brain changes influenced by genes, which can affect the risk of mental health and developmental issues later on.
  • * This review highlights existing research on genetic risks in young children and presents the Organization for Imaging Genomics in Infancy (ORIGINs), a group formed to enhance research in this vital area.
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Background: A large body of research supports the deleterious effects of adverse childhood experiences (ACEs) on disease susceptibility and health for both the exposed individual and the next generation. It is likely that there is an intergenerational transmission of risk from mother to child; however, the mechanisms through which such risk is conferred remain unknown. The current study evaluated the association between maternal ACEs, neonatal brain development of the amygdala and hippocampus, and later infant negative emotionality at six months of age.

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Background: The rapid maturation of the fetal brain renders the fetus susceptible to prenatal environmental signals. Prenatal maternal sleep quality is known to have important health implications for newborns including risk for preterm birth, however, the effect on the fetal brain is poorly understood.

Method: Participants included 94 pregnant participants and their newborns (53% female).

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Article Synopsis
  • Functional MRI has been used to study brain networks by looking at blood flow signals in the brain during rest, and many of these networks are present at birth.
  • The study analyzed how genetic factors affect brain connectivity in newborns by examining twin data, but found that only a few connectivity traits showed a slight genetic influence, with no strong significance.
  • It was determined that demographic factors like gestational age and maternal mental health have a more noticeable effect on brain connectivity in early infancy than genetic influences.
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Background: The white matter (WM) connectome is important for cognitive development and intelligence and is altered in neuropsychiatric illnesses. Little is known about how the WM connectome develops or its relationship to IQ in early childhood.

Methods: The development of node centrality in the WM connectome was studied in a longitudinal cohort of 226 (123 female) children from the University of North Carolina Early Brain Development Study.

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Motivated by the recent great success of attention modeling in computer vision, it is highly desired to extend the Transformer architecture from the conventional Euclidean space to non-Euclidean spaces. Given the intrinsic spherical topology of brain cortical surfaces in neuroimaging, in this study, we propose a novel Spherical Transformer, an effective general-purpose backbone using the self-attention mechanism for analysis of cortical surface data represented by triangular meshes. By mapping the cortical surface onto a sphere and splitting it uniformly into overlapping spherical surface patches, we encode the long-range dependency within each patch by the self-attention operation and formulate the cross-patch feature transmission via overlapping regions.

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We develop a computationally efficient alternative, TwinEQTL, to a linear mixed-effects model for twin genome-wide association study data. Instead of analyzing all twin samples together with linear mixed-effects model, TwinEQTL first splits twin samples into 2 independent groups on which multiple linear regression analysis can be validly performed separately, followed by an appropriate meta-analysis-like approach to combine the 2 nonindependent test results. Through mathematical derivations, we prove the validity of TwinEQTL algorithm and show that the correlation between 2 dependent test statistics at each single-nucleotide polymorphism is independent of its minor allele frequency.

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Article Synopsis
  • The prenatal period is crucial for brain development, making fetuses vulnerable to factors that can impact mental health later in life.
  • A study of 85 mother-infant pairs found that higher levels of maternal distress at 29 weeks of gestation correlated with specific changes in infant brain white matter.
  • Notably, increased maternal distress was linked to higher fractional anisotropy and axial diffusivity in the right anterior cingulate white matter tract, but no significant associations were observed at earlier gestational ages or in other brain tracts.
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Diffusion Tensor Imaging (DTI) is a non-invasive neuroimaging method that has become the most widely employed MRI modality for investigations of white matter fiber pathways. DTI has proven especially valuable for improving our understanding of normative white matter maturation across the life span and has also been used to index clinical pathology and cognitive function. Despite its increasing popularity, especially in pediatric research, the majority of existing studies examining infant white matter maturation depend on regional or white matter skeleton-based approaches.

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