Time: November 20th – November 24th, 2017
Place: Aging Research Center (ARC, NVS Department, Karolinska Institutet & Stockholm University), Stockholm
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 (psychology, neuroscience, medicine, biology, engineering, neuroepidemiology) are welcome.
The course will be held in English.
Course leaders: Dr. Grégoria Kalpouzos, Dr. Alireza Salami, Dr. Francesca Mangialasche.
More information and link to the course for application: http://kiwas.ki.se/katalog/katalog/kurs/2549
Deadline: May 15th, 2017