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Methods and Statistics

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


Methods and Statistics

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.


Dr. Aart Nederveen

Clinical use of Arterial Spin Labeling

Dr. Wietske van der Zwaag

Recent applications of 7T in the study of human brain function and structure

Dr. Tomas Knapen

The Visual System: Retinotopic Maps and Population Receptive Fields

Dr. Pieter Buur

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI)

Dr. Wietske van der Zwaag

Visualizing the cerebellum

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