Jessica Royer

This study identifies atypical functional topography and reduced hierarchical signal flow in temporal lobe epilepsy, linked to microstructural white matter changes and cognitive impairments.

This study examines age-related changes in grey and white matter in TLE patients across the adult lifespan, finding accelerated aging effects after age 55.

HippoMaps provides a toolbox and data warehouse for mapping and analyzing hippocampal data across multiple modalities and scales.

The paper uses variograms to show that function changes more rapidly in association cortex than in sensory and motor cortex, linked to intracortical myelin levels.

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

This study identifies atypical intrinsic neural timescales in temporal lobe epilepsy, showing reduced timescales in multiple brain regions and high accuracy in classifying patients and lateralizing seizure foci.

The paper characterizes weighted structural brain networks using white matter microstructural features to improve structure-function models.

This study assesses memory impairments in temporal lobe epilepsy patients across episodic, semantic, and spatial domains using behavioral tests and statistical analysis.

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

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.

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.

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.

The paper investigates how mind-wandering during reading affects neural coupling between the default mode network and visual regions, showing that decoupling impairs comprehension.

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

This study identifies divergent patterns of atypical cortical asymmetry and regional atrophy in temporal lobe epilepsy using MRI data from a large multi-site cohort.

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.

This study links structural network changes in epilepsy syndromes to risk gene expression patterns using ENIGMA data.

BigBrainWarp simplifies integration of BigBrain histology with neuroimaging by providing tools for registration and cytoarchitectural feature access.

The paper introduces the ENIGMA Toolbox, a Python/Matlab ecosystem for integrating multisite neuroimaging datasets across disorders and contextualizing findings at multiple scales.

The paper introduces a new spatial memory task and shows its correlation with structural and functional brain differences in temporal cortices.

This study identifies higher functional network idiosyncrasy in ASD compared to TD, linked to ASD risk genes and symptom severity.

The paper identifies three structural connectivity gradients in the human temporal lobe and links them to microstructural features and macroscale functional measures.

The paper develops a continuous surface model of the mesiotemporal lobe's iso-to-allocortex transition and links it to functional dynamics and cognitive systems.

The paper identifies functional activation patterns during pattern separation in the hippocampus and neocortex, showing alignment with intrinsic connectivity gradients and performance differences in patients.

This study identifies network associations with atrophy patterns in epilepsy using neuroimaging and connectome analysis across 1,021 patients and 1,564 controls.

BrainSpace provides a toolbox for analyzing macroscale gradients in neuroimaging and connectomics data, enabling gradient identification, alignment, visualization, and association studies.

The paper introduces a novel coordinate system for the human cortex based on connectivity, validated across multiple datasets and showing alignment with functional and structural features.

The paper identifies myeloarchitecture gradients in the human insula that correlate with its functional connectivity and diverse roles.

The paper examines age-related changes in brain structure and metabolism using multimodal imaging and connectome gradients, finding that higher-order transmodal regions show increased Aβ deposition and that hippocampal atrophy is more pronounced towards its posterior end.