Decoding, ie prediction from brain images or signals, calls for empirical evaluation of its
predictive power. Such evaluation is achieved via cross-validation, a method also used to …

Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …

Standard univariate analysis of neuroimaging data has revealed a host of neuroanatomical
and functional differences between healthy individuals and patients suffering a wide range …

In this Seminar we discuss developments from the past 5 years in the diagnosis,
neurobiology, and treatment of major depressive disorder. For diagnosis, psychiatric and …

Craving is a core feature of substance use disorders. It is a strong predictor of substance use
and relapse and is linked to overeating, gambling, and other maladaptive behaviors …

Abstract Machine learning techniques are increasingly being used in making relevant
predictions and inferences on individual subjects neuroimaging scan data. Previous studies …

Recent resting-state functional connectivity magnetic resonance imaging studies have
shown significant group differences in several regions and networks between patients with …

Neuroimaging has identified many correlates of emotion but has not yet yielded brain
representations predictive of the intensity of emotional experiences in individuals. We used …

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Functional imaging studies of emotional processing typically contain neutral control
conditions that serve to remove simple effects of visual perception, thus revealing the …