Abolfazl Ziaeemehr

Principles and Operation of Virtual Brain Twins

This paper introduces Virtual Brain Twins (VBTs) as personalized digital brain models that integrate structural and functional data to improve understanding of brain function and support personalized treatment.

Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient probabilistic inference on virtual brain models

This paper introduces VBI, a toolkit for Bayesian inference on virtual brain models, demonstrating its accuracy and reliability through in-silico testing.

Probing other's Presence: Probabilistic Inference Across Brain Scales Reveals Enhanced Excitatory Synaptic Efficacy

This study investigates how social presence affects excitatory synaptic efficacy across brain scales in monkeys and humans, linking these changes to task performance improvements.

On Global Brain Reconfiguration after Local Manipulations

This study shows how local brain manipulations affect global brain dynamics using simulations and experimental data, revealing specific network changes and localization of effects.

Frequency-resolved functional connectivity: Role of delay and the strength of connections

This study investigates how transmission delay and connection strength affect functional connectivity across frequency bands using a generalized Kuramoto model on brain connectomes.

Frequency-dependent organization of the brain’s functional network through delayed-interactions

This study shows that frequency-dependent delays in brain network interactions influence synchrony, with higher frequencies revealing finer spatial modular structures.