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Neuroimaging Methods in Neuropsychological Research

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Official data in SubjectManager for the following academic year: 2019-2020

Course director

Dr. Ádám FELDMANN (, assistant professor

Department of Behavioural Sciences

Subject data

Code of subject: OXF-NMN-h-T  |  1 credit  |  General Medicine |  Optional module  |  autumn

Prerequisites: -

Number of hours/semester

0 lectures + 0 practices + 12 seminars = total of 12 hours

Course headcount limitations

min. 1 – max. 10 person


The aim of the course is to give an introduction to structural and functional MRI methods in field of neuropsychology. The students will be introduced to methods of fMRI experimental planning and statistical analysis.




  • 1. Functional MRI and sMRI basics, softwares, file formats, data types
  • 2. Experimental planning
  • 3. Preprocessing steps in a single case and multiple case studies using SPM.
  • 4. Functional MRI statistics (individual and group analyses) using SPM.
  • 5. Controlling nuisance variables using SPM.
  • 6. Cognitive functional network analysis using SPM.
  • 7. History of neuroimaging, elements.
  • 8. fMRI and sMRI basics.
  • 9. Experimental design (block design).
  • 10. Advanced experimental design (event-related fMRI).
  • 11. Preprocessing steps and statistical analysis (hypothesis and data-driven methods).
  • 12. Mapping cognitive functional networks and complex studies

Reading material

Obligatory literature


Literature developed by the Department

Materials are available on Neptun MeetStreet



Recommended literature


Conditions for acceptance of the semester

Maximum of 25 % absence allowed

Mid-term exams


Making up for missed classes

Should be discussed with the course tutor in each individual case.

Exam topics/questions



Instructor / tutor of practices and seminars

  • Dr. Feldmann Ádám