Clare E. Palmer

FEMA: Fast and efficient mixed-effects algorithm for large sample whole-brain imaging data

FEMA enables fast and efficient mixed-effects analyses of large-scale whole-brain imaging data, revealing distinct spatial patterns of brain maturation in early adolescence.

Gene-experience correlation during cognitive development: Evidence from the Adolescent Brain Cognitive Development (ABCD) StudySM

The paper examines gene-experience correlations in cognitive development using ABCD Study data, finding stronger genetic associations with crystallized intelligence measures and significant mediation by recreational reading.

Generalization of Cortical MOSTest Genome-Wide Associations Within and Across Samples

The paper evaluates the replication of genome-wide association loci discovered using MOSTest across different cohorts and finds higher replication yields and rates compared to min-P.

Multimodal Image Normalisation Tool (MINT) for the Adolescent Brain and Cognitive Development study: the MINT ABCD Atlas

The paper introduces MINT, a tool for multimodal MRI registration, and presents an ABCD atlas for whole-brain analysis, showing it outperforms existing methods in speed while maintaining accuracy.

Unique prediction of developmental psychopathology from genetic and familial risk

The paper examines genetic and familial risk factors for psychopathology in youth, finding shared and unique associations between polygenic risk scores and behavioral measures.

Microstructural development from 9-14 years: evidence from the ABCD Study

The paper uses restriction spectrum imaging to analyze age-related microstructural changes in brain diffusion across 9-14 year olds from the ABCD Study, finding increased restricted diffusion in subcortical regions with age.

Multivariate genome-wide association study identifies 780 unique genetic loci associated with cortical morphology.

The paper uses a multivariate GWAS approach to identify 780 genetic loci associated with cortical morphology, showing a 10-fold increase in loci compared to univariate methods.

A Comprehensive Overview of the Physical Health of the Adolescent Brain Cognitive Development Study (ABCD) Cohort at Baseline

This paper provides descriptive analyses of physical health measures in the ABCD cohort at baseline, highlighting variations across demographic groups and linking them to health disparities.

Meaningful Effects in the Adolescent Brain Cognitive Development Study

The paper describes the design and aims of the ABCD Study, discussing challenges in estimating meaningful associations and recommending best practices for research using its data.

Spatially heterogeneous microstructural development within subcortical regions from 9-13 years

The paper uses RSI to analyze diffusion patterns in subcortical regions of children aged 9-13, finding age-related changes in restricted diffusion metrics across different brain areas.

Neural divergence and convergence for attention to and detection of interoceptive and somatosensory stimuli

The paper investigates neural convergence and divergence of interoceptive and somatosensory signals using a signal detection task and psycho-physiological interaction analysis.

Economic, social, and physiological resilience predict brain structure and cognitive performance in 9 - 10-year-old children

The paper examines how economic, social, and physiological resilience factors relate to brain structure and cognitive performance in 9-10-year-olds.

Determining the association between cortical morphology and cognition in 10,145 children from the Adolescent Brain and Cognitive Development (ABCD) study using the MOSTest

The paper uses MOSTest to analyze cortical morphology in 10,145 children, showing that regional cortical patterns predict cognitive performance after accounting for global brain measures.

Distinct regionalization patterns of cortical morphology are associated with cognitive performance across different domains

The paper shows that distinct cortical morphology patterns are associated with different cognitive domains in children, highlighting the importance of sociodemographic factors.

The Bayesian polyvertex score (PVS-B): a whole-brain phenotypic prediction framework for neuroimaging studies

The paper introduces PVS-B, a whole-brain prediction framework that improves variance explained in behavior prediction from neuroimaging data compared to traditional methods.