Time: May 11-15, 2020
Place: Aging Research Center (ARC), the Widerström building, Tomtebodavägen 18A, floor 10, KI campus Solna
The purpose of the course is to provide methodological tools to link neuroimaging data to cognitive performance and interpret such relationships in the field of normal and pathological aging.
After attending the course, the graduate student will
be able to
(1) describe and differentiate neural and cognitive profiles that accompany normal aging and different types of dementia,
(2) select the most appropriate methods in order to address scientific questions pertaining to neural correlates of cognitive functions,
(3) identify, combine and test different risk factors for dementia (genetic, biological, environmental) on brain integrity and cognition,
(4) compute analyses in the most commonly used neuroimaging softwares (e.g., SPM, Freesurfer).
The course contains short lectures, seminars and hands-on sessions where the students compute analyses on real data.
Students from different academic backgrounds are welcome (psychology, neuroscience, medicine, biology, engineering, neuroepidemiology).
Previous knowledge in cognitive processes, brain anatomy, neuroimaging and statistics (intermediate statistics) is a requirement. If the student lacks bases in brain anatomy and/or neuroimaging, a one-day seminar will be held the week prior to the course to reach an adequate level.
Course leaders: Grégoria Kalpouzos, Goran Papenberg
Deadline: November 15, 2019