Donna Gift Cabalo

This study identifies distinct subcortical-cortical circuit disruptions in autism and ADHD using functional connectivity and dynamic causal modeling in a multi-site cohort.

This paper develops a framework to distinguish radial and tangential fiber components in human superficial white matter and examines their microstructural and functional properties.

This paper introduces a surface-intrinsic framework for hippocampal unfolding that improves alignment accuracy and morphology preservation compared to volumetric methods.

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

MICAFlow provides a fast and robust MRI preprocessing pipeline that translates research workflows into clinical practice, achieving high registration accuracy and data reliability across diverse datasets.

This study uses activity flow mapping to show reduced task activation prediction accuracy in TLE and FLE patients, linking intrinsic network dysconnectivity to memory impairments.

This study examines intersubject correlations during naturalistic movie watching and finds they align with functional gradients across different brain networks and spatial scales.

The paper examines how cognitive states like resting and movie watching affect large-scale brain functional connectivity using fMRI data from the HCP and PNI datasets.

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

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.

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.

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.

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.

This study investigates how epilepsy-related mesiotemporal pathology reorganizes episodic and semantic memory systems using functional MRI in TLE patients and healthy controls.

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

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

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

This study evaluates how different preprocessing pipelines affect static and dynamic functional connectivity metrics in healthy controls and Parkinson's disease patients, showing dynamic connectivity is highly sensitive to motion correction methods.

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