Egidio Ugo D'Angelo

The paper uses virtual brain modelling to identify network-specific alterations in excitation/inhibition profiles in treatment-resistant schizophrenia and links them to symptom severity.

In a mouse whole-brain co-simulation with a spiking olivocerebellar network, cutting mossy-fiber input to cerebellar nuclei lowers M1-S1 gamma coherence, while removing Purkinje inhibition raises it.

The paper presents a multiscale brain modelling framework combining DCM and TVB to study excitatory-inhibitory balance in multiple sclerosis, finding altered connectivity patterns and their association with clinical and behavioural outcomes.

This study uses brain digital twins to compare network changes in congenital and slowly progressive cerebellar ataxias, finding distinct patterns in network topology and dynamics that correlate with clinical symptoms.

The paper introduces Auto-MFM, a tool that automatically derives mean field models from spiking neural networks, accurately reproducing population dynamics and enabling exploration of physiological and pathological brain circuits.

This study shows that early ASO treatment rescues developmental defects in SMA organoids by restoring SMN levels and correcting splicing defects.

This paper develops a region-specific mean field model for the cerebellum, improving virtual brain simulations of local and global dynamics compared to standard oscillators.

The paper uses DCM on fMRI data to show cerebellar control switches from excitatory to inhibitory during action execution versus observation, revealing distinct functional roles in motor planning and sensorimotor feedback.

This paper introduces a multiscale modelling framework for hippocampal CA1 that bridges micro and macro scales using a novel mean-field model, validated against spiking network models.

The paper uses mesoscale simulations to show that synergistic plasticity in cerebellar circuits is essential for classical eyeblink conditioning.

The paper compares structural and connectivity parameters between non-progressive and slow-progressive cerebellar ataxia patients to identify compensation patterns in motor behavior.

The paper uses virtual brain simulations to compare network-specific parameters in Alzheimer's disease and Frontotemporal Dementia patients with healthy controls, revealing disease-specific alterations.

The paper compares human and mouse Purkinje cells, finding human cells have greater dendritic complexity and computational capacity.

The paper investigates how parallel processing in the human brain relies on a distributed cortico-cerebellar architecture using fMRI data from dual-task experiments.

The paper introduces BSB, a framework for modeling brain microcircuits, and applies it to reconstruct and simulate the mouse cerebellar cortex at cellular resolution.

The paper introduces a 3D high-density CMOS multi-electrode array with microneedles for improved recording from 3D brain tissue and spheroids, showing enhanced signal quality and tissue vitality.

This study uses The Virtual Brain to simulate brain dynamics in neurodegenerative diseases, revealing differences in excitation/inhibition profiles that improve personalized diagnosis.

The paper investigates neurovascular coupling in the cerebellar cortex and finds non-linear frequency dependence due to competition between vasodilation and vasoconstriction pathways.

This paper develops a spiking neural network model of the cerebellum with dual STDP processes to explain how saccadic eye movements are controlled for accuracy and vigor.

The paper benchmarks two neuromorphological simulators, NEURON and Arbor, on CPUs and GPUs, showing Arbor can be 60-400x faster and 100x more energy efficient.

This study identifies specific white matter alterations in left and right temporal lobe epilepsy using diffusion imaging parameters and spatial statistical analysis.

The paper uses computational modeling to show cerebellar stellate cells act as delay-high-pass filters, shaping Purkinje cell responses and circuit dynamics.

This study demonstrates Ca2+ channel-dependent bidirectional synaptic plasticity at excitatory synapses on cerebellar Golgi cells, with LTP and LTD induced by depolarized and hyperpolarized potentials, respectively.

The paper develops multicompartmental models of cerebellar Golgi cells to predict dendritic processing and mechanisms of synaptic plasticity.

The paper maps spatial patterns of long-term synaptic plasticity in cerebellar circuits and shows how they function as adaptive filters for spike retransmission.

This study shows that multiple sclerosis alters higher-order BOLD responses in BA 4p but not BA 4a during grip force tasks, beyond the main effect of movement.

The paper identifies diverse firing patterns in cerebellar granule cells through computational modeling and electrophysiological experiments, showing how parameter tuning influences synaptic transmission properties.

This study investigates spinal cord atrophy in Alzheimer's disease and finds it contributes to distinguishing patients from controls and explains cognitive scores.