Introduction to Neuroimaging Methods
Lectures and Workshops
Lectures and workshops will take place on Wednesdays, 14.30, either in the CBU West Wing Seminar Room or Lecture Theatre (unless stated otherwise, please check below). Workshops usually take about 2 hours, lectures may be shorter.
The workshops will require registration via a Doodle poll. Details will be announced before individual events via this mailing list: http://lists.mrc-cbu.cam.ac.uk/mailman/listinfo/skillstraining (Non-CBU people can subscribe by sending an e-mail to skillstraining-subscribe (at) mrc-cbu (dot) cam (dot) ac (dot) uk).
We expect attendees to have basic skills in scientific computing and programming, e.g. at the level taught in our previous workshops. It might help to refresh your memories a little bit.
Look here for other training opportunities in and around Cambridge.
Please contact OlafHauk with questions and feedback.
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Easter Term |
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April 12 (Tuesday!) |
11.00-13.00 |
Introduction to aa (v5) + fMRI Analysis 3: Group Statistics |
Tibor Auer |
Lecture + Workshop |
The lecture describes aa in general along with the new features of v5. During the workshop you write aa user master scripts (UMSs) using aa v5 to process structural and fMRI data, as well as MEG data. After a short recap of GLM, we will review some example designs. The main topics are: fixed and random effects, repeated measures, ANOVA, ANCOVA. |
April 20 |
14.30 |
Multivariate fMRI Analysis I PDF |
Marieke Mur |
Lecture + Workshop |
This workshop introduces linear classification, one of the most popular forms of multivoxel pattern analysis. We will give an overview of the most commonly used linear classifiers, and list the steps that are needed to implement a classification analysis. The workshop will include a hands-on matlab session, during which we'll go through example code that performs linear classification on an fMRI data set. |
April 27 |
14.30 |
Multivariate fMRI Analysis II PDF |
Marieke Mur |
Lecture + Workshop |
This workshop introduces representational similarity analysis (RSA), a more recent form of multivoxel pattern analysis which has gained popularity over the last few years. We will give an overview of the origin of RSA and how it relates to linear classification, and list the steps that are needed to implement RSA. The workshop will include a hands-on matlab session, during which we'll analyse the same fMRI data as last week, but this time using RSA. |
May 4 |
14.30 |
Rik Henson |
Lecture |
This lecture will describe possible generative models that can be used to integrate data from EEG, MEG and fMRI |
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May 11 |
11.00 (!!!) |
Rik Henson |
Lecture |
This lecture will introduce concepts of functional and effective connectivity, briefly describe effective connectivity in fMRI (eg dynamic causal modelling) and then expand on the larger range of methods available for measuring connectivity with EEG/MEG. |
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May 18 |
14.30 |
Diffusion MRI I |
Marta Correia |
Lecture + Workshop |
This workshop will cover the basic principles of diffusion MRI acquisition and data analysis. It will include a practical component covering pre-processing of diffusion MRI data, model fitting, group analysis of diffusion parameters and tractography. |
May 25 |
14.30 |
Diffusion MRI II |
Marta Correia |
Lecture + Workshop |
In this week’s workshop we will continue the hands on session for pre-processing of diffusion MRI data and introduce methods for group analyses. We will also cover more advanced diffusion MRI methods, including tractography and probabilistic modelling. |
June 9 and 10 |
all day |
fMRI and EEG/MEG Analysis in SPM - from raw data to multimodal images |
2-day event (details TBA) |
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June 9 |
10-13.00 |
fMRI analysis in SPM |
Rik Henson, Jason Taylor |
Lecture and Demo |
Demo of standard fMRI analysis in SPM12. You will be able to follow the analysis in your own Matlab session. |
June 10 |
10-12.00 |
Introduction to EEG/MEG analysis in SPM |
Vladimir Litvak |
Lecture+Demo (Lecture Theatre) |
Introduction and overview of EEG/MEG analysis in SPM |
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14.00 |
Source estimation and statistics |
Rik Henson, Jason Taylor |
Lecture+Demo (Lecture Theatre) |
Demo of source estimation and statistics in SPM |
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15.30 |
Multimodal imaging |
Rik Henson, Jason Taylor |
Workshop (WWSR) |
Participants can analyse a multi-modal data set under supervision, following chapter 42 of the SPM12 manual |