Virtual brain twins are personalized, generative and adaptive brain models based on data
from an individual's brain for scientific and clinical use. After a description of the key …

Neurological conditions are the leading cause of disability and mortality combined,
demanding innovative, scalable, and sustainable solutions. Brain health has become a …

The neurological condition epilepsy is demanding and even fatal. Electroencephalogram
(EEG)-based epilepsy detection still faces various difficulties. EEG readings fluctuate, and …

Whole-brain modelling: an essential tool for understanding brain dynamics | Nature Reviews
Methods Primers Skip to main content Thank you for visiting nature.com. You are using a …

In recent years, advances in neuroscience and artificial intelligence have paved the way for
unprecedented opportunities to understand the complexity of the brain and its emulation …

The classic brain criticality hypothesis postulates that the brain benefits from operating near
a continuous second-order phase transition. Slow feedback regulation of neuronal activity …

Epilepsy is a complex disease that requires various approaches for its study. This short
review discusses the contribution of theoretical and computational models. The review …

Background The hypothesis of decreased neural inhibition in dementia has been sparsely
studied in functional magnetic resonance imaging (fMRI) data across patients with different …

Over 65 million people suffer from recurrent, unprovoked seizures. The lack of validated
biomarkers specific for myriad forms of epilepsy makes diagnosis challenging. Diagnosis …

Vagus nerve stimulation (VNS) is an established therapy for drug‐resistant epilepsy.
However, there is a lack of reliable predictors of VNS response in clinical use. The …