Lorenzo Caciagli

The paper presents an open dataset of cerebral tau deposition in young healthy adults using [18F]MK6240 PET to support imaging biomarker studies in non-geriatric populations.

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.

The paper investigates how neural responses differ during learning of modular and non-modular graph structures using fMRI data, finding distinct connectivity patterns associated with performance on different graph types.

This study identifies patient-specific functional biomarkers in temporal lobe epilepsy using multimodal MRI data to predict clinical outcomes and guide precision therapeutics.

This paper reviews AI/ML applications in MRI for epilepsy, finding high accuracy in diagnosis and prediction but significant bias issues limiting clinical use.

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.

This study finds increased tau deposition in TLE patients using PET imaging, linked to cognitive impairment and brain connectivity patterns.

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.

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.

The paper challenges the assumption that nonlinear models are necessary for whole-brain dynamics by showing linear models achieve better fit, simplicity, and interpretability in resting state fMRI and iEEG data.

This study shows that myelination and excitation-inhibition balance influence structure-function coupling in the human cortex, with myelination becoming more important in agranular regions.

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.

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

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.

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

This study uses network control theory to analyze energy dynamics in temporal lobe epilepsy, finding increased control energy requirements and metabolic asymmetry in affected brain regions.

This study examines how interictal epileptiform discharges (IEDs) affect functional connectivity in intracranial EEG data across different frequency bands and identifies key predictors of these changes.

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

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 paper identifies disrupted basal ganglia-thalamocortical loops in patients with focal to bilateral tonic-clonic seizures, linking these disruptions to increased seizure generalization risk.