Despite significant improvements in our understanding of brain diseases, many barriers
remain. Cognitive neuroscience faces four major challenges: complex structure–function …

Neural networks are successfully used to imitate and model cognitive processes. However,
to provide clues about the neurobiological mechanisms enabling human cognition, these …

Depression is a multifactorial clinical syndrome with a low pharmacological treatment
response rate. Therefore, identifying predictors of treatment response capable of providing …

A fundamental topological principle is that the container always shapes the content. In
neuroscience, this translates into how the brain anatomy shapes brain dynamics. From …

Disorders of consciousness are complex conditions characterised by persistent loss of
responsiveness due to brain injury. They present diagnostic challenges and limited options …

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 …

Psilocybin therapy for depression has started to show promise, yet the underlying causal
mechanisms are not currently known. Here, we leveraged the differential outcome in …

Major Depressive Disorder (MDD) is a complex, heterogeneous condition affecting millions
worldwide. Computational neuropsychiatry offers potential breakthroughs through the …

Disorders of consciousness (DoC) represent a challenging and complex group of
neurological conditions characterised by profound disturbances in consciousness. The …

The emerging neuroscientific frontier of brain fingerprinting has recently established that
human functional connectomes (FCs) exhibit fingerprint-like idiosyncratic features, which …