Edward Thomas Bullmore

Inflections in adolescent cortical maturation signal psychopathology risk

The paper shows that differences in adolescent cortical maturation patterns predict psychiatric symptoms, with early maturing sensory regions linked to symptoms four years before their onset.

Polygenic effects on cortical size and ADHD converge on a mid-gestational progenitor-to-neuron transition programme

The paper identifies a mid-gestational molecular mechanism linking cortical size and ADHD through genetic and single-cell RNA sequencing analyses.

Polygenic hierarchies of macroscale brain structural organisation

The paper identifies polygenic hierarchies in macroscale brain structural organisation using genome-wide association studies of imaging-derived phenotypes.

MIND the gap: methodological considerations and guidance for structural MRI similarity network analysis with MIND

The paper provides methodological guidance for using MIND, a structural MRI similarity metric, and demonstrates how input properties affect its accuracy using simulated and observational data.

Human cortical networks trade communication efficiency for computational reliability.

The paper presents a game-theoretic model showing human cortical networks prioritize computational reliability over communication efficiency and wiring cost.

The genetic architecture of cortical similarity networks

The paper investigates genetic effects on cortical similarity networks using MRI data and finds two genetically determined gradients linked to brain evolution and neuropsychiatric risks.

Plasma proteomics reveal heterogeneous subtypes of depression linked to inflammation and aging

The paper identifies three depression subtypes using plasma proteomics, linked to inflammation, aging, and metabolic factors, with distinct clinical and neurobiological features.

Genetic insights on the mechanisms of human cortical folding

This study identifies genetic maps of human sulcal complexity using rare and common variants, revealing new mechanistic pathways for cortical morphogenesis.

dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

Heterochronicity shapes brain network formation

This study introduces a heterochronous generative network model to better capture the spatial and temporal aspects of brain network development, improving model fit and identification of individual differences.

Cortical myelination networks reflect neuronal gene expression and track adolescent age in marmosets

The paper uses MRI data from marmosets to show that myelination networks correlate with gene expression in specific neurons and track age across cortical regions.

Profiling brain morphology for autism spectrum disorder with two cross-culture large-scale consortia

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

Charting structural brain asymmetry across the human lifespan

This paper presents a normative framework for brain asymmetry across the lifespan using a large neuroimaging dataset, revealing distinct spatial patterns and providing tools for clinical and research applications.

GWAS of macro-scale resting state functional brain networks identify shared biology with brain structure and autism

This study performs a GWAS on functional brain network metrics and finds genetic overlap with brain structure and autism.

Genes with disrupted connectivity in the architecture of schizophrenia gene co-expression networks highlight atypical neuronal-glial interactions

The paper identifies genes with disrupted connectivity in schizophrenia gene co-expression networks, revealing atypical neuronal-glial interactions and synaptic transmission disturbances.

The brain cortical similarity network: Development and sensitivity to early life stress in a rat model

The paper uses MRI similarity network analysis to study how early life stress affects cortical network development in rats, finding altered inter-areal similarity in key brain regions.

Chronic social defeat stress induces meningeal neutrophilia via type I interferon signaling

Chronic social defeat stress increases meningeal neutrophils via type I interferon signaling from skull bone marrow, contributing to behavioral issues, and blocking this pathway reduces neutrophil trafficking and improves behavior.

Human adolescent brain similarity development is different for paralimbic versus neocortical zones

The paper examines how morphometric similarity in brain regions changes during adolescence, finding distinct developmental patterns in paralimbic versus neocortical areas.

A bipolar taxonomy of adult human brain sulcal morphology related to timing of fetalsulcation and trans-sulcal gene expression gradients

The paper constructs a sulcal phenotype network from MRI scans to identify two clusters of sulci related to developmental timing and gene expression gradients.

Two human brain systems micro-structurally associated with obesity

The paper investigates the association between obesity and two brain systems using MRI data from UK Biobank participants, finding distinct structural and genetic relationships.

A longitudinal resource for population neuroscience of school-age children and adolescents in China

The paper introduces a longitudinal dataset of school-age children and adolescents in China, detailing its design, sampling, and neuroimaging measurements.

Resilient functioning is associated with altered structural brain network topology in adolescents exposed to childhood adversity.

The paper investigates how resilient functioning in adolescents exposed to childhood adversity relates to structural brain network topology, finding lower nodal degree in specific brain regions associated with higher resilience.

Spatial and temporal autocorrelation weave complexity in brain networks

The paper shows spatial and temporal autocorrelation explain network topology measures in rs-fMRI data and how they change with aging and drug treatment.

MIND Networks: Robust Estimation of Structural Similarity from Brain MRI

The paper introduces MIND, a method to estimate structural similarity networks from brain MRI, showing improved consistency with known biology and genetic heritability.

Cortical gene expression architecture links healthy neurodevelopment to the imaging, transcriptomics, and genetics of autism and schizophrenia

The paper identifies new cortical gene expression components linked to neurodevelopment and finds associations with autism and schizophrenia across multiple data types.

The genetics of cortical organisation and development: a study of 2,347 neuroimaging phenotypes

GWAS of 2,347 neuroimaging phenotypes identifies genetic loci and structures related to cortical development, cellular processes, and neurodevelopmental disorders.

Early adversity changes the economic conditions of structural brain network organisation

This paper uses computational modeling to show that early adversity increases stochasticity in the formation of structural brain networks in mice.

Sexually divergent development of depression-related brain networks during healthy human adolescence

The paper examines sex differences in brain network development during adolescence and links them to depression risk, finding divergent patterns in functional connectivity and gene expression.

Adolescent development of multiscale structural wiring and functional interactions in the human connectome

This study examines structural and functional brain network development in adolescents, finding that structural wiring changes correlate with functional differentiation.

Bridging brain and cognition: A multilayer network analysis of brain structural covariance and general intelligence in a developmental sample of struggling learners

The paper uses network analysis to model brain structural covariance and cognitive abilities in struggling learners, finding positive correlations and intermediary roles of specific nodes.