Methods and Statistics focus on MR data acquisition and its subsequent processing into meaningful results.

MRI experiments provide the researcher with an impossible amount of data. In order to distill meaningful information a progressive series of reduction methods are applied to filter out the desired parameters (and ignore others).

As the brain is a huge information network where various cause-effect and mutually interfering or augmenting relationships take place, statistical modeling methods are applied. The result may be a selection of specific brain nuclei and discrete networks that are involved in specific tasks assigned to volunteers. Alternatively, results may be more abstract such as a series of vectors that reflect the likelihood of certain responses in given populations or cultures.

Taken together, the development of data acquisition protocols in conjunction with the statistical processing and modeling of the ensuing data is indispensible to achieve breakthrough insights in the workings of the human brain.