Abstract
Human language as one of the most complex systems has fascinated scientists from various fields for decades. Whether we consider language from a point of view of a classical linguistics, psychology, computational linguistics, medicine or neurolinguistics, it keeps bringing up questions such as "How do we actually comprehend language in our brain?" The most interesting achievements often result from a joined effort of multiple scientific fields.
In this paper, we will explore how statistics and informatics contributed to human brain neuroimaging and how this answered some of the linguistic questions about human brain. The purpose of this paper is not to survey these achievements in detail, but rather to offer a comprehensive coverage of methods and techniques on the border of neuroimaging and informatics.
To achieve this, we will touch on some of the basic and advanced methods for neuroimaging techniques, ranging from fundamental statistical analysis with the General Linear Model, Bayesian analysis met