Ph.D. course available for booking via https://phdkursus.sund.ku.dk/frontPlanner/DetailKursus.aspx?id=96294
- To get an overview of the strength and weaknesses of the currently used brain imaging modalities.
- To learn how different imaging modalities can be effectively combined to overcome the inherent limitations of a single neuroimaging modality.
- To get an insight into the computational methods that can extract relevant neural patterns from multimodal neuroimaging data.
- To obtain a deeper understanding of human brain function and structure.
To capture the complexity of the brains functional and structural architecture it is not sufficient to acquire brain signals and images using a single technique such as functional MRI or high-density EEG. A comprehensive understanding of the brain can only be obtained by combining different brain mapping modalities and by integrating the multimodal imaging data with advanced computational methods. This PhD course will provide the students with theoretical and practical knowledge of how to interface neuroimaging and computational methods to retrieve the full information content from the recorded data. It will be shown how these methods can offer relevant new insights into the underlying organizational principles of the human brain. The course will enable the students to pursue state-of-the-art research in neuroimaging. The following topics will be covered:
- Introduction into advanced data analysis techniques of multimodal neuroimaging data sets (e.g., machine learning methods for robust classification and regression of high-dimensional multivariate data, clustering and signal decomposition methods).
- Introduction into the combination of different neuroimaging modalities, including structural, diffusion weighted and functional MRI as well as EEG/MEG, PET and NIRS.
- Introduction to the combined use of interventional neurostimulation techniques such as transcranial magnetic stimulation or transcranial direct current stimulation and brain mapping techniques.
Interactive teaching with illustrative examples in the morning and practical exercises in small groups in the afternoon. Each group will be required to make a written report on a specific topic after the course.
The course will take place from the 7th to the 11th of October 2013