Casey Paquola

Linking human brain functional connectivity to underlying neurotransmitter systems

This study links human brain functional connectivity to neurotransmitter systems using resting-state fMRI and MEG across multiple cohorts, showing consistent patterns and clinical relevance.

In vivo cartography of state-dependent signal flow hierarchy in the human cerebral cortex

This study introduces a neuroimaging framework to discover state-dependent signal flow hierarchy in the human cerebral cortex using integrated effective connectivity and signal flow mapping.

Hierarchical Signatures of Language in the Human Brain

This study identifies hierarchical neural signatures of language by linking semantic and phonological processing to brain networks using fMRI, myelin measures, and AI models.

Human cortical dynamics reflect graded contributions of local geometry and network topography

This study shows that human cortical dynamics are influenced by both local geometry and network topology, with transmodal regions showing additional dependence on microstructural and connectivity factors.

Intracortical microstructure profiling: a versatile method for indexing cortical lamination

This paper introduces a method for profiling intracortical microstructure to assess laminar organisation, showing its robustness and reliability across different datasets and sites.

Cerebellar growth is associated with domain-specific cerebral maturation and socio-linguistic behavioral outcomes

This study maps cerebellar volumetric growth from infancy to young adulthood and links it to cerebral development and socio-linguistic behaviors.

Disentangling the influences of pre- and postnatal periods on human cortical microstructure

The paper examines how pre- and postnatal factors influence human cortical microstructure using MRI data from neonates, finding distinct effects on microstructural density and homogeneity.

Associations between epilepsy-related polygenic risk and brain morphology in childhood

The paper examines associations between epilepsy-related polygenic risk scores and brain morphology in children, finding PRS-related cortical thinning linked to structural patterns in TLE-HS patients.

A unified imaging-histology framework for superficial white matter architecture studies in the human brain

The paper develops a computational framework to study superficial white matter organization using 3D histology and 7T MRI, finding high structural complexity in the first 2 mm below the cortical boundary and correlations with cortical geometry and connectivity.

MULTIMODAL GRADIENTS UNIFY LOCAL AND GLOBAL CORTICAL ORGANIZATION

This paper maps global cortical organization by integrating microstructural, connectivity, and functional data with cytoarchitectural maps, revealing a sensory-fugal gradient and functional diversity across brain areas.

Multimodal precision MRI of the individual human brain at ultra-high fields

The paper shares a multimodal 7T MRI dataset of ten healthy individuals, providing structural and functional brain data across multiple imaging modalities and parcellation scales.

From histology to macroscale function in the human amygdala

This study identifies subregional structure-function coupling in the human amygdala using histology and MRI, revealing two axes of microstructural variation linked to functional networks.

Procrustes Alignment in Individual-level Analyses of Functional Gradients

This study examines how the number of gradients used in Procrustes alignment affects identification accuracy and differential identifiability in functional connectivity analyses across multiple fMRI datasets.

Microstructural asymmetry in the human cortex

The paper examines layer-specific microstructural asymmetry in the human cortex, finding anterior-posterior patterns linked to function and heritability.

Regional patterns of human cortex development correlate with underlying neurobiology

The paper links regional human cortex development and aging to molecular and cellular brain organization patterns using neuroimaging and gene expression data.

GAN-MAT: Generative Adversarial Network-based Microstructural Profile Covariance Analysis Toolbox

GAN-MAT synthesizes T2-weighted MRI from T1-weighted data and estimates microstructural features, validated on healthy controls and patients with neurological conditions.

Cortical microstructural gradients capture memory network reorganization in temporal lobe epilepsy

This study identifies reduced microstructural differentiation in TLE patients, linking it to cognitive dysfunction and network reorganization.

The spatial arrangement of laminar thickness profiles in the human cortex scaffolds processing hierarchy

The paper quantifies how laminar thickness patterns in the human cortex correlate with processing hierarchy, showing developmental and functional relationships.

Multilevel neural gradients reflect transdiagnostic effects of major psychiatric conditions on cortical morphology

The paper identifies a shared cortical morphology dimension across six psychiatric conditions using MRI data from 28,546 participants.

An open MRI dataset for multiscale neuroscience

The paper shares a multimodal MRI dataset for studying multiscale brain organization, including connectomes and gradients from multiple imaging modalities.

Micapipe: a pipeline for multimodal neuroimaging and connectome analysis

Micapipe is an open pipeline for processing multimodal MRI data, generating structural and functional connectomes, geodesic distances, and microstructural profiles across multiple brain parcellations and surface spaces.

Schizophrenia polygenic risk during typical development reflects multiscale cortical organization

This study links schizophrenia polygenic risk to cortical thickness changes in developing children, showing a trajectory toward adult schizophrenia patterns.

Modeling spatial, developmental, physiological, and topological constraints on human brain connectivity

This study develops a model to capture wiring cost and topological complexity in human brain connectivity but finds models struggle to capture spatial embedding.

A Riemannian approach to predicting brain function from the structural connectome

This paper predicts brain function from the structural connectome using a Riemannian approach based on diffusion maps and random walks, showing performance plateaus around the third walk.

Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex

The paper examines how genetic and phylogenetic factors influence structure-function coupling in the human transmodal cortex and finds reduced genetic control in regions linked to social cognition and memory.

A convergent structure-function substrate of cognitive imbalances in autism

This study identifies a structure-function substrate of cognitive imbalances in autism using multi-site neuroimaging data and dimensional analysis.

BrainStat: A toolbox for brain-wide statistics and neuroscientific contextualization

BrainStat provides a toolbox for statistical analysis and feature association in neuroimaging data, integrating multiple modalities and templates to enhance cross-modal research.

Shared and distinct patterns of atypical cortical morphometry in children with autism and anxiety

This study identifies shared and distinct structural brain differences in children with autism and anxiety, using neuroimaging data from 82 participants.

Architecture of the Human Default Mode Network: Cytoarchitecture, Wiring and Signal Flow

This study characterizes the anatomy of the human default mode network using histology and neuroimaging, revealing its cytoarchitectural diversity and unique signal flow properties.

Long-range connections mirror and link microarchitectural and cognitive hierarchies in the human brain

The paper investigates how long-range brain connections relate to microarchitectural and cognitive hierarchies in the human brain, finding that transmodal association cortices have distributed long-range connections linked to similar microarchitecture.