Marc L. Seal

Oestradiol and Progesterone Variability in Adolescent Females: Associations with Brain Structure and Mental Health Problems

This study examines how monthly variability in oestradiol and progesterone in adolescent females relates to brain structure and mental health outcomes.

Pubertal hormones and the early adolescent female brain: a multimodality brain MRI study

This study investigates the relationship between pubertal hormones and brain structure/function in adolescent females using multimodal MRI data from a large cohort.

Mild traumatic brain injury is associated with increased thalamic subregion volume in the subacute period following injury

This study finds increased thalamic subregion volume in mTBI patients compared to trauma controls in the subacute period using MRI and Bayesian analysis.

Molecular signatures of cortical expansion in the human fetal brain

The paper presents a 3D digital atlas of the human fetal brain at 21 weeks gestation, revealing molecular signatures of cortical expansion linked to neurogenesis timing and evolutionary boundaries.

Participant followup rate can bias structural imaging measures in longitudinal studies

The paper investigates how participant dropout affects structural MRI measures in longitudinal studies, finding that it can bias brain metric estimates and group differences.

Individual variation underlying brain age estimates in typical development

This study examines individual variation in brain age prediction using machine learning models and finds significant between-subject differences in feature importance despite consistent overall patterns.

A longitudinal analysis of puberty-related cortical development

This study examines how pubertal tempo affects cortical development trajectories in adolescents using longitudinal MRI data.

Longitudinal white matter development in children is associated with puberty, attentional difficulties, and mental health

This study examines white matter development in children aged 9-13, finding increases in fibre density linked to puberty, attentional difficulties, and mental health issues.

Cortical remodelling in childhood is associated with genes enriched for neurodevelopmental disorders

This study links childhood cortical thinning patterns with gene expression gradients, identifying genes involved in synaptic remodeling and neurodevelopmental disorders.

Parcellation of the neonatal cortex using Surface-based Melbourne Children’s Regional Infant Brain atlases (M-CRIB-S)

This paper introduces surface-based versions of neonatal brain atlases and evaluates their parcellation accuracy compared to manual labels and an adult-derived atlas.

White Matter Extension of the Melbourne Children’s Regional Infant Brain Atlas: M-CRIB-WM

The paper extends the M-CRIB neonatal brain atlas to include 54 white matter regions using manual segmentation and co-registration of diffusion tensor imaging data.

Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence

This study uses non-negative matrix factorisation to identify cortical regions co-varying with connectivity subnetworks in children and adolescents, finding age-related changes in cortical thickness and connectivity.

Quantifying individual differences in brain morphometry underlying symptom severity in Autism Spectrum Disorders

This study identifies brain morphometry features that predict individual differences in ASD symptom severity using a subject-level machine learning approach.

Desikan-Killiany-Tourville Atlas Compatible Version of M-CRIB Neonatal Parcellated Whole Brain Atlas: The M-CRIB 2.0

The paper updates the M-CRIB neonatal brain atlas to align with the Desikan-Killiany-Tourville adult atlas and FreeSurfer subcortical segmentations, resulting in a more compatible and accurate whole-brain parcellation.

Individualised MRI training for paediatric neuroimaging in autism spectrum disorders: A child-focused approach

This paper describes an individualised MRI training approach for children with ASD to improve image quality by reducing motion artefacts through a child-focused familiarisation strategy.

Individual variation in longitudinal postnatal development of the primate brain

This study analyzes longitudinal MRI data from macaques to model postnatal brain development and links subcortical grey matter variation to birth weight.

Development of white matter fibre density and morphology over childhood: a longitudinal fixel-based analysis

This study uses longitudinal fixel-based analysis to show increased white matter fibre density and cross-section in specific brain regions over 16 months, with no significant effect of pubertal stage.

Different Brain Networks Underlying Intelligence In Autism Spectrum Disorders And Typically Developing Children

The paper examines brain networks associated with fluid intelligence in ASD and typically developing children, finding increased connectivity in specific brain regions in ASD despite equivalent intelligence scores.

Age, sex, and puberty related development of the corpus callosum: a multi-technique diffusion MRI study

The paper examines age, sex, and puberty effects on corpus callosum development using diffusion MRI metrics across multiple regions.

Modelling neuroanatomical variation due to age and sex during childhood and adolescence

This study models age and sex-related neuroanatomical variation during childhood and adolescence using multimodal imaging data and machine learning, achieving accurate age prediction and sex classification.

Network component analysis reveals developmental trajectories of structural connectivity and specific alterations in autism spectrum disorder

The paper uses network component analysis to study brain connectivity development and identifies altered subnetworks in autism spectrum disorder.