Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in recent years. Using a variety of neuroimaging modalities such as structural, functional and diffusion MRI, along with machine learning techniques, hundreds of studies have been carried out for accurate classification of patients with heterogeneous mental and neurodegenerative disorders such as sch...

This review paper follows on from a previous review of the literature with regard to learning disability and murder (Read, S. 2008). This paper, in turn, examines the relationship, if any, between learning disability and fire setting. The approach taken in both these papers involves the concept of Disruptive Behaviour Disorder as being the group of behaviour and personality disorders most invol...

The authors describe how contemporary learning theory and research provide the basis for perspectives on the etiology and maintenance of anxiety disorders that capture the complexity associated with individual differences in the development and course of these disorders. These insights from modern research on learning overcome the shortcomings of earlier overly simplistic behavioral approaches,...

OBJECTIVE During the past 2 decades, celiac disease (CD) has been recognized as a multisystem autoimmune disorder. A growing body of distinct neurologic conditions such as cerebellar ataxia, epilepsy, myoclonic ataxia, chronic neuropathies, and dementia have been reported, mainly in middle-aged adults. There still are insufficient data on the association of CD with various neurologic disorders ...