SPM Essentials is an introductory, on-line course designed for investigators having some familiarity with the fundamental principles of fMRI data acquisition and analysis. Requiring no previous experience with SPM, it provides a basic grounding in the conceptual and practical issues associated with using SPM12 for fMRI analysis for people already registered for one of our more advanced analysis courses, such as Basic fMRI Design and Analysis Using SPM and FSL. It will be available again beginning in 2015. If you are interested, please send a message to email@example.com so we can notify you when the next class begins.
Functional MRI in Clinical Research and Practice: Measurement, Design and Analysis is designed to give clinical investigators an intensive introduction to the issues associated with using structural and functional MRI in clinical research studies. Topics will include the basic principles of MRI measurement, techniques for stimulus presentation and response recording in high magnetic fields, basic statistical methods, individual subject experimental design and analysis techniques, group design and analysis techniques, clinical study design principles and guidelines for reporting clinical neuroimaging studies.
Basic fMRI Design and Analysis Using SPM and FSL is an intermediate-level, 5-day workshop designed for investigators having familiarity with the fundamental principles of fMRI, and at least six months experience in functional neuroimaging data acquisition and analysis. The workshop will focus on using SPM12, FSL and their extensions for preprocessing, statistical modeling and visualization of data associated with a range of basic and clinical fMRI experimental designs. The fundamentals of analyzing both task-related and resting state data will be covered. While the primary emphasis will involve using the core SPM programs for these purposes, there will also be extensive discussion of a variety of software tools that extend the power of SPM12 and FSL.
Cortical Functional Neuroimaging With SPM and FreeSurfer is an intermediate-level, 5-day workshop that will provide you with the essential skills required to use SPM and Freesurfer together for modeling fMRI data in native, MNI or cortical surface anatomical spaces. The fundamentals of analyzing both task-related and resting state data will be covered.
Advanced fMRI Design and Analysis Using SPM is a 5-day workshop designed for investigators having strong familiarity with the fundamental principles of fMRI, and at least one year of experience in functional neuroimaging data analysis using SPM.
Even experienced fMRI investigators can find difficult to stay abreast of recent changes in fMRI methods. Moreover, it can be extremely useful to participate in structured reviews of the complex issues associated with experimental design, data acquisition, single-subject and group modeling.
This workshop will cover the details of using SPM12 and its extensions for preprocessing, statistical modeling and visualization of data associated with a range of fMRI experimental designs. While the primary emphasis will involve using the core SPM12 programs, there will also be extensive discussion of a variety of software tools that extend the power of SPM12. Some of these tools facilitate fMRI quality assurance through artifact detection and mitigation at various analysis stages (ART). Other tools support advanced group-level modeling (GLM Flex) and power analysis (Fmripower and GPower). We will also cover a variety of data visualization and anatomical labeling methods, including MRIcron, xjView, and FreeSurfer.
The course will begin with a review of the fMRI preprocessing sequence, including realignment, slice timing correction, spatial normalization and spatial smoothing. For users of previous versions of SPM, special attention will be given to feature changes present in SPM12.
Network Analysis: Functional Connectivity is an advanced, 5-day workshop designed for investigators having familiarity with the basic principles of fMRI data acquisition, statistical analysis using the general linear model, and substantial practical experience in fMRI analysis. The presentations will provide an introduction to network analysis using FSL, SPM12 and its associated toolboxes along with practical demonstrations and exercises tied to the key conceptual issues. Topics covered will include functional connectivity examined using bivariate correlation or regression, independent component analysis, and graph theory. The principal focus of the course is mastery of the essential skills for using functional connectivity analysis techniques.
fMRI Design and Analysis
Brain Connectivity and Longitudinal Effects Modeling
Advanced Topics in Structural and Functional MRI
Basic fMRI Design and Analysis Using SPM and FSL
Structural and Functional Imaging Methods in Stroke Research