Cognitive and behavioural flexibility permit the appropriate adjustment of thoughts and
behaviours in response to changing environmental demands. Brain mechanisms enabling …

The high global prevalence of depression, together with the recent acceleration of remote
care owing to the COVID-19 pandemic, has prompted increased interest in the efficacy of …

In this chapter, we explore Support Vector Machine (SVM)—a machine learning method that
has become exceedingly popular for neuroimaging analysis in recent years. Because of …

Abstract Machine learning is increasingly used in mental health research and has the
potential to advance our understanding of how to characterize, predict, and treat mental …

The network approach to psychopathology posits that mental disorders can be
conceptualized and studied as causal systems of mutually reinforcing symptoms. This …

In the past three decades, our understanding of brain–behavior relationships has been
significantly shaped by research using non-invasive brain stimulation (NIBS) techniques …

Movement, cognition and perception arise from the collective activity of neurons within
cortical circuits and across large-scale systems of the brain. While the causes of single …

Despite its great promise, neuroimaging has yet to substantially impact clinical practice and
public health. However, a develo** synergy between emerging analysis techniques and …

Fueled by developments in computational neuroscience, there has been increasing interest
in the underlying neurocomputational mechanisms of psychosis. One successful approach …

The nature of mental illness remains a conundrum. Traditional disease categories are
increasingly suspected to misrepresent the causes underlying mental disturbance. Yet …