Neuroimaging Methods in Neuropsychological Research

Data

Official data in SubjectManager for the following academic year: 2022-2023

Course director

Number of hours/semester

lectures: 0 hours

practices: 0 hours

seminars: 12 hours

total of: 12 hours

Subject data

  • Code of subject: OAF-NMN-T
  • 1 kredit
  • General Medicine
  • Optional modul
  • autumn
Prerequisites:

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Course headcount limitations

min. 1 – max. 10

Topic

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.

Lectures

Practices

Seminars

  • 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

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Literature developed by the Department

Materials are available on Neptun MeetStreet

Notes

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Recommended literature

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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

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Examiners

Instructor / tutor of practices and seminars

  • Dr. Feldmann Ádám