Remembering to realize delayed intentions is a multi-phase process, labelled as prospective
memory (PM), and involves a plurality of neural networks. The present study utilized the …

Despite significant advances in the treatment of major depression, there is a high degree of
variability in how patients respond to treatment. Approximately 70% of patients show some …

Voxel-based Morphometry (VBM) is a widely used automated technique for the analysis of
neuroanatomical images. Despite its popularity within the neuroimaging community, there are …

Background Pneumonia with respiratory failure represents the main cause of death in
COVID-19, where hyper inflammation plays an important role in lung damage. This study aims to …

Efficient inhibitory control is vital. However, environmental cues can influence motor control
especially in an emotional context. One common task to measure inhibitory control is the stop…

Background: Patients with multiple sclerosis (MS) are at increased risk of infection. Vaccination
can mitigate these risks but only if safe and effective in MS patients, including those …

Pedophilia is a disorder of public concern because of its association with child sexual offense
and recidivism. Previous neuroimaging studies of potential brain abnormalities underlying …

Despite the high level of interest in the use of machine learning (ML) and neuroimaging to
detect psychosis at the individual level, the reliability of the findings is unclear due to potential …

Schizophrenia has been conceived as a disorder of brain connectivity, but it is unclear how
this network phenotype is related to the underlying genetics. We used morphometric …

The rise of machine learning has unlocked new ways of analysing structural neuroimaging
data, including brain age prediction. In this state-of-the-art review, we provide an introduction …