Psychology and Brain Sciences | Neuroimaging
P657 | 17349 | L. Pessoa
The objective of this course is to cover intermediate and advanced
fMRI data analysis techniques to students with some prior fMRI
experience. Topics include block and event-related designs, “optimal”
experimental design, deconvolution, parametric analysis, connectivity
analysis, brain behavior quantitative links (logistic regression,
Receiver Operating Characteristic analysis), and multivariate analysis
for “decoding” brain/mind states (statistical, neural network, and
machine learning methods).
Students will be expected to lead in-class discussions of papers that
address the themes above. Students will also develop group projects
(2-3 individuals), which will involve developing an experimental
paradigm, data collection at the IRF scanner, data analysis, and the
writing of a term paper in the format of a regular paper.