Identifying cognitive and neural mechanisms involved in the development of schizophrenia
requires longitudinal observation of individuals prior to onset. Here recent studies of …

Schizophrenia is associated with increased levels of oxidative stress, as reflected by an
increase in the concentrations of damaging reactive species and a reduction in anti-oxidant …

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 …

Subcortical structures, which include the basal ganglia and parts of the limbic system, have
key roles in learning, motor control and emotion, but also contribute to higher-order …

The complexity and heterogeneity of schizophrenia symptoms challenge an objective
diagnosis, which is typically based on behavioral and clinical manifestations. Moreover, the …

There is a growing interest in automatic classification of mental disorders based on
neuroimaging data. Small training data sets (subjects) and very large amount of high …

Most individuals with schizophrenia retrospectively report a prodromal period characterized
by increasing problems in thinking, feeling, and behaving. However, it is less clear how …

Neuroimaging research has shown that patients with schizophrenia (SCZ) present brain
structural and functional alterations, but the results across imaging modalities and task …

Electroencephalogram (EEG) based emotional analysis has been employed in medical
science, security and human–computer interaction with good success. In the recent past …

Detection of mental disorders such as schizophrenia (SZ) through investigating brain
activities recorded via Electroencephalogram (EEG) signals is a promising field in …