Description

Functional MRI (fMRI) is one of the most widely used neuroimaging methods in psychology. Standard analysis of functional MRI data is often restricted to functional specialisation hypotheses where one looks for brain regions with a specific function, for example highlighting the fusiform face area (FFA) involved in processing faces, and whether this region show differences in activation between groups.

Hypotheses about functional integration where the focus is on the role of different brain regions in a network, cannot be answered using standard analyses but require more advanced approaches where the connectivity between different brain regions plays a central role.

In this summer school we will cover multiple methods to estimate functional connectivity in both task-based and resting-state functional MRI data. We will focus on how to properly estimate functional connectivity and how to use these connectivity estimates for statistical prediction (machine learning), and hypothesis driven methods (e.g. network analysis).

Modes of instruction

Interactive lectures and computer practicals.

Literature

To be announced.

Entry requirements

This summer school assumes understanding of functional MRI analysis, mainly in terms of setting-up and running functional MRI analyses in FSL or SPM. If you lack this knowledge, please read the prepatory materials. To decide which videos and practicals are required, get in touch with Wouter Weeda. We also assume a basic understanding of statistics, mainly regression.

Fees

Target group	One day	Two days	Three days
PhD candidates FSW	FREE	FREE	FREE
Staff FSW	€300	€400	€500
Other Leiden University PhD candidates	€215	€315	€415
Externals*	€450	€600	€750

*Externals are PhD candidates related to staff members of FSW (buitenpromovendi) and/or staff members of other Leiden University Faculties.